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The effects of in-class debates on argumentation skills in second language education

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The skill of argumentation in the second language (L2) is problematic for secondary school students who are deficient in expressing structurally and qualitatively appropriate arguments. Debate has been widely acclaimed as an effective pedagogical tool that can improve L2 argumentation skills of students. However, the existing evidence is anecdotal. This intervention study, which employed a pretest-posttest control group design involving eight classes at three secondary schools in The Netherlands, was conducted to investigate to what extent debate instruction in L2 affects a number of L2 structural (e.g. sub-arguments and rebuttals) and quality (e.g. elaboration and persuasiveness of arguments) aspects of argumentation. To gauge the effect of the intervention, we analyzed written and oral opinion tasks produced by the participants at the beginning and towards the end of the intervention. We used an adjusted version of Toulmin's argumentation model to undertake the structural analysis and a 5-point scale rubric to assess different aspects of reasoning quality. Multilevel analysis of the data revealed that debate instruction had a positive effect upon a number of structural components and quality aspects of the written and oral argumentation skills. These findings led us to conclude that debate constitutes a conducive pedagogy for honing argumentation skills.
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0346-251X/© 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license
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The effects of in-class debates on argumentation skills in second
language education
Abid el Majidi
a
,
*
, Daniel Janssen
b
, Rick de Graaff
c
a
Utrecht University, Trans 10, 3512 JK, Utrecht, the Netherlands
b
Utrecht University, Trans 10/ofce 0.43a, 3512 JK, Utrecht, the Netherlands
c
Utrecht University, Trans 10/ofce 1.60, 3512 JK, Utrecht, the Netherlands
ARTICLE INFO
Keywords:
In-class debates
Second language
Argumentation skills
Secondary school
Written and oral argumentation
Argumentation pedagogy
ABSTRACT
The skill of argumentation in the second language (L2) is problematic for secondary school stu-
dents who are decient in expressing structurally and qualitatively appropriate arguments.
Debate has been widely acclaimed as an effective pedagogical tool that can improve L2 argu-
mentation skills of students. However, the existing evidence is anecdotal. This intervention study,
which employed a pretest-posttest control group design involving eight classes at three secondary
schools in The Netherlands, was conducted to investigate to what extent debate instruction in L2
affects a number of L2 structural (e.g. sub-arguments and rebuttals) and quality (e.g. elaboration
and persuasiveness of arguments) aspects of argumentation. To gauge the effect of the inter-
vention, we analyzed written and oral opinion tasks produced by the participants at the beginning
and towards the end of the intervention. We used an adjusted version of Toulmins argumentation
model to undertake the structural analysis and a 5-point scale rubric to assess different aspects of
reasoning quality. Multilevel analysis of the data revealed that debate instruction had a positive
effect upon a number of structural components and quality aspects of the written and oral
argumentation skills. These ndings led us to conclude that debate constitutes a conducive
pedagogy for honing argumentation skills.
1. Introduction
The ability to reason critically is arguably one of the most fundamental skills underlying success in everyday life as well as academia
and professional careers (Butt, 2010; Yeh, 1998). Performing these roles successfully requires the ability to understand, decide, or
persuade effectively, either verbally or in writing, through the process of argumentation (Iordanou, 2013, p. 292). The ability to
generate and evaluate arguments has been also widely recognized as a key indicator of good critical thinking ability (Mercier, 2011;
Mercier & Sperber, 2011). Good thinking skills enable people to critically verify incoming information, consider alternative viewpoints
and produce counterarguments (Osana & Seymour, 2004). Roy and Macchiette (2005) point out that critical thinking stimulates
adopting a positive attitude and enables going beyond challenging an opposing view in an attempt to develop new understanding,
think up new theory and make speculations about the future.
Many studies have voiced concerns about students argumentative abilities in the rst Language (L1) (e.g. Chen et al., 2016;
Crowell & Kuhn, 2014) as well as in the second/foreign language (L2/FL) (e.g. Huh & Lee, 2014; Qin & Karabacak, 2010). Empirical
* Corresponding author.
E-mail addresses: a.elmajidi@uu.nl (A. Majidi), D.M.L.Janssen@uu.nl (D. Janssen), r.degraaff@uu.nl (R. de Graaff).
Contents lists available at ScienceDirect
System
journal homepage: www.elsevier.com/locate/system
https://doi.org/10.1016/j.system.2021.102576
Received 5 October 2020; Received in revised form 9 June 2021; Accepted 30 June 2021
System 101 (2021) 102576
2
evidence shows that students struggle with providing adequate justications to their claims (Hsu et al., 2015) and generating coun-
terarguments to rebut the opposing side (Liu & Stapleton, 2020; Sadler, 2004; Stapleton & Wu, 2015). Weaknesses in argumentative
reasoning can have serious implications for success in academia and professional careers and therefore warrants nurturing (Crowell &
Kuhn, 2014; Kuhn, 1991; Kuhn & Udell, 2003; Yeh, 1998). Or in the words of Yeh (1998): the capacity of producing effective ar-
guments inuences grades, academic success, and preparation for college and employment (p. 49).
A number of studies have linked deciencies in argumentation skills (both in L1 and L2 context) to the lack of adequate and
effective instruction rather than to the inherent inability of students to acquire such skills (Butt, 2010; Hirvela, 2017; Reznitskaya el al.,
2001; Walker & Kettler, 2020). Osana and Seymour (2004) maintain that fostering and evaluating studentsability to make critical
judgements and evaluations is a crucial responsibility that needs to be assumed by the educational system. Therefore, seeking
pedagogical tools that promote students ability to reason with critical thinking and argue with credible evidence is an urgent
overarching priority. The good news is that students, including EFL novice writers can, in an appropriate learning context,
demonstrate progress in formulating effective arguments(Cheng, 2010, p.140).
There are two notable variables that can interfere with argumentation performance in L2: culture and language prociency. Culture
is a variable that may play a role in the development of argumentation skills. In some non-western societies like countries dominated
by Confucianism culture, teachers are viewed as authority gures who cannot be challenged or criticized by students (Heimg¨
artner,
2013). However, in most western countries (the context of this study), which are characterized by small power distance societies as
teachers and students relatively share more equal power distribution, students are stimulated to speak up and can even challenge
teachers (Hsu et al., 2017). In such a context, the culture variable is less likely to interfere with argumentation expression and
development.
Limited L2 prociency, on the other hand, may also interfere with studentsability to express their arguments effectively in L2.
Some studies (e.g. Cheng & Chen, 2009; Hsu et al., 2017) suggest that limited linguistic resources may hinder students from properly
developing and justifying their arguments and employing certain sophisticated components of arguments. Though this may apply to a
number of aspects of argumentation, as demonstrated in the study of Cheng and Chen (2009) some aspects of argumentation do not
seem to be affected by language prociency, such as handling oppositional structures (p. 23). Cheng and Chen (2009) call for
additional research to determine the role that L2 prociency, cognition and culture play in studentsuse of argument structures(p.
45).
In the Dutch context, studentsargumentative skills also receive inadequate attention, especially in secondary education, despite
their noted importance (Van Eemeren et al., 2015). L2 argumentative skills are of paramount importance for both secondary school
and university classrooms in the Netherlands. In secondary schools, students are required to compose argumentative L2 essays,
employing well-reasoned arguments. In addition, an increasing number of Dutch students take internationally recognized tests, such as
Cambridge ESOL in which oral and written argumentation abilities are assessed. Furthermore, in Dutch bilingual schools many
subjects (e.g. history) that strongly involve argumentation are instructed in English. As to the university context, the majority of Dutch
students need to write many L2 essays and papers which involve argumentation in one way or another (De Haan & Van Esch, 2005).
In-class debate is regarded as a potentially effective pedagogical tool that may help to improve learnersreasoning/argumentative
skills (Malloy et al., 2020; Oros, 2007; Zorwick & Wade, 2016). The debate process is believed to offer one of the best mechanisms for
operationalizing and applying the principles of critical thinking (Butt, 2010; Freeley & Steinberg, 2005; Roy & Macchiette, 2005). Its
environment contains many reasoning incentives that hone argumentation skills. Involvement in debate forces students to search,
inspect and evaluate arguments, overcome personal prejudices and biases, identify inconsistencies and inadequacies in opponentsline
of reasoning and eventually engineer well-thought and persuasive arguments.
Though there is a wide recognition that debate may promote argumentation skills, there is no empirical evidence available yet to
support this assumption in the L2 context. To ll this gap, we conducted an intervention study in which we investigated the effects of
in-class debates on the development of argumentation skills of Dutch secondary school students in English classes by identifying and
comparing developmental features (structural and quality aspects) of argumentative skills in samples of their written and oral pro-
duction produced by an intervention and a control group.
2. Theoretical grounds
The potential of in-class debates for argumentation skills development can be motivated from multiple theoretical perspectives.
One theoretical perspective comes from dialogic argumentation, with its roots in the everyday social practice of talk. Dialogic argu-
mentation is regarded as an essential pathway for fostering individual argumentative reasoning (Crowell & Kuhn, 2014; Kuhn, 2018;
Michaels et al., 2008). Along the same lines, Reznitskaya et al. (2001) argue that reasoning is fundamentally dialogical and, therefore,
its development is best fostered in social dialogical settings. Dialogic argumentation involves students in social negotiations that enable
them to gain insights into the strengths/weaknesses of their arguments and hence improve them (Chen et al., 2016). Through social
interaction students become not only exposed to alternative perspectives, but they get engaged in argumentative interaction which
enables them to compare their arguments with each other, notice gaps in them and hence attend to and remedy the problematic areas
in their reasoning. Under such circumstances and following Longs (1996) interaction theory which theorizes that through interaction
L2 learners become aware of the shortcomings in their input and thus modify their output we posit that students go through argu-
mentation processing that stimulate drawing attention to reasoning gaps and hence reect on and revise their argumentation skills.
This assumption is supported by Newell et al. (2011) who contend that students acquire argumentative literacy practices through
active participation in dialogic interactions(p.292). The competitive atmosphere of debate is likely to fuel these interactions between
students and accordingly sharpen up their reasoning abilities (e.g. Roy & Macchiette, 2005).
A. Majidi et al.
System 101 (2021) 102576
3
Another theoretical perspective has to do with the conceptualization of argumentation: learning to argue and arguing to learn
(Hirvela, 2017). In the learning to argue conceptualization, students are taught how to argue through teaching them the components of
argumentation; in other words, arguing is seen as an end in itself. On the other hand, arguing to learn perspective conceptualizes
argumentation as a means by which we rationally resolve questions, issues, and disputes and solve problems(Jonassen & Kim, 2010,
p. 439). According to Hirvela (2017), the arguing to learn orientation empowers learners to think beyond the argument structure and
fosters their analytical and critical thinking skills. Debating may subscribe to the arguing to learn orientation. In debates, argument is
perceived as a medium through which a functional goal can be attained, and that is defending ones position and weakening that of
their opponents. This orientation stimulates students to see argument as process, not product (Hirvela, 2017, p. 72).
More evidence to support our premise that debate may be propitious for argumentation skills comes from the potential effec-
tiveness of involving students in argumentative activities that connect speaking/talking and writing. Chen et al. (2016) maintain that
engaging students in dialogical interactions and writing constitute a promising avenue for improving their argumentative competence.
The argumentative literacy practices students gain from active participation in dialogic interactions are likely to transfer to argu-
mentative writing (Newell et al., 2011). Reznitskaya et al.s (2001) empirical work substantiated this assumption. In this study, the
students who participated in discussions involving controversial issues wrote essays that showed a greater number of arguments,
counterarguments, rebuttals, uses of formal argument devices and references to text information than the essays of the control students
who did not participate in discussions. Reznitskaya et al. concludes that reasoning skills acquired in discussion transferred to a
different context, from collaborative oral discussions to the individual task of persuasive writing (p. 171).
The audience-centered approach to argumentation that characterises debate presents another relevant perspective that supports
our hypothesis. Many studies showed that audience awareness pushes debaters to hone their reasoning skills. For example, Chen et al.
(2016) point out that when students [are] expected to be challenged and critiqued by their peers [they push] pushed themselves to
rene and reshape their argument to be convincing(p.130). In the same vein, Midgette, Haria and MacArthurs (2008) study revealed
that students with audience-oriented goals were more likely to consider opposing positions and rebut them. Even during preparation
(e.g. case
1
writing), audience awareness can affect the construction of arguments, in that arguers consciously think about the audi-
ences objection and response and accordingly reect upon and rene their line of reasoning (Johnson, 2013). The last theoretical
perspective has to do with studentsattitude towards debate. Students favorable attitude towards debating is likely to lead to high
cognitive engagement in the learning process, thereby leveraging the learning potential offered by the debate experience (el Majidi
et al., 2015, 2018).
3. Debate-argumentation research
Several studies reported improvement in the argumentative skills of students that took part in debates. The majority of these studies
were conducted in L1 and were based on studentsself-reports and instructorsobservations. For example, Zorwick and Wade (2016),
whose study was based on analysis of student course evaluations and on observations of the authors and other instructors, reported that
there was unanimous agreement among Social Studies/History teachers (participants) that debate activities enhanced their students
ability to write arguments to support claims using valid reasoning and relevant and sufficient evidence(p. 441). In another study
involving American university students, Oros (2007) reported that the students who participated in the Introduction to World Politics
course (with debates) produced far more arguments and with a higher degree of support in the nal essays than the students who
participated in the Introduction to Political Science course (without debates). Oros attributed this difference in part to the debate
experience. He also notes that this difference persisted after the conclusion of the courses.
Studies that have investigated the argumentation-debate relationship in the L2/FL context are very scarce. These studies pre-
dominantly drew on anecdotal evidence, and they mainly elicited data through questionnaires and interviews (e.g. Gulnaz, 2020; Zare
& Othman, 2015). These studies, which have massively recognized that debate promotes critical reasoning, lack empirical evidence
that unequivocally establishes a causal link between debate and argumentation skills. Therefore, the current study is needed to ll this
lacuna by providing empirical evidence about the extent to which debate pedagogy can affect L2 argumentation skills.
It is noteworthy that, in general, the studies that investigated L2/FL argumentative performance are scant (Paek & Kang, 2017; Qin
& Karabacak, 2010). These studies revealed that L2 learnersarguments were feeble and structurally simple. Their papers, for example,
mainly contained two basic elements of argument structures, namely, claims and data; they hardly included sophisticated structural
elements, such as counterarguments and rebuttals, which may make the arguments less persuasive and lower the quality of writing
(Paek & Kang, 2017, p. 117).
Hirvela (2017) regards the negligence of argument in L2 research agenda (especially in L2 writing) odd, unjustiable and unac-
ceptable seeing its manifest importance. For example, L2 argumentative competence is viewed as an important indicator of L2 writing
ability as argumentation is at the heart of SL [second language] writing assessment (Hirvela, 2017, p. 69). In addition, L2 argu-
mentation may also boost L2 language development. Chapple and Curtis (2000) hold that improvement in L2/FL analytic and critical
thinking may lead to improvement in L2/FL language skills. Similarly, Pally (1997) contends that complex, synthetic reasoning needs
to be practiced in the L2 in order for students to master -and challenge- L2 language and argument(p. 299).
1
A case is a cohesive set of [written] arguments [prepared beforehand] that justify the side of the topic that they have been assigned(Snider &
Schnurer, 2006, p. 26).
A. Majidi et al.
System 101 (2021) 102576
4
4. This study
To recapitulate, in spite of the importance of L2 argumentation skills, few studies have addressed the pedagogical needs of
developing explicit instructional approaches to foster argumentation skills for L2 writers (Cheng, 2010, p. 120). The current study
endeavours to ll part of this research gap by investigating the effects of a debate intervention in L2 on studentsL2 oral and written
argumentation skills by analyzing samples of their written and oral output. Learners’ “verbal and written arguments are likely to differ
in complexity (Berland & McNeill, 2010, p. 790). Therefore, investigating both oral and written arguments is likely to provide a
complete picture of the impact of debate on the argumentative competence of L2 learners. Many researchers (e.g. Kathpalia & See,
2016; Sampson & Clark, 2008; Stapleton & Wu, 2015) stress the need to examine both the structural components and quality aspects of
the produced arguments to obtain a reliable picture of the quality of reasoning in learnersargumentative competence. As Stapleton
and Wu (2015) argue ‘‘the surface structure, or shell of the argument, may appear appropriate or even exemplary, but the actual
substance could still be exceedingly weak’’ (p. 12). It is thus imperative to utilize an integrated argumentation assessment framework
that takes both the structural (e.g. data, warrants, rebuttals, etc.) and the quality (the substance) (e.g. clarity, elaboration and
persuasiveness of arguments) aspects of the argument into account. This study addressed the following research questions:
1. What is the effect of in-class debates on the structural components of the written and oral arguments produced by Dutch secondary
school students?
2. What is the effect of in-class debates on the quality of the written and oral arguments produced by Dutch secondary school students?
Hypotheses
The theoretical considerations (discussed above) and previous research (e.g. Oros 2009; Zorwick & Wade, 2016) led us to
anticipate:
1. That students engaged in the debate intervention would produce more written and oral arguments and that these arguments would
include more sophisticated structural patterns.
2. That students engaged in the debate intervention would produce more written and oral arguments that exhibit better reasoning
quality.
5. Method
5.1. Design
To answer these research questions, an intervention with a pretest-posttest control group quasi-experimental design was con-
ducted. The intervention group participated in ten debates (one debate per week) which were part of the class curriculum, with each
lasting approximately 50 min. It is noteworthy that the intervention group did not receive instruction about the structural and quality
aspects of argumentation. To enhance the external validity of the ndings, we gathered data from three different secondary schools.
The participating teachers were instructed and familiarized with the content of the intervention by the rst author. The data for this
study consisted of written and oral opinion tasks (in which the intervention and control students argued for/against a side of a
controversial topic, see 5.4 for more elaboration) and were elicited at the beginning (pretest) and towards the end (posttest) of the
intervention.
5.2. Participants
The studys sample consisted of eight intact classes at three secondary schools in The Netherlands (n =147). Five classes were in
their fth year of higher general secondary education (n =89) and three classes were in their fourth year of pre university secondary
education
2
(n =58). Five classes served as the intervention group (n =96) and three as the control group (n =51). The participants
included 88 females and 59 males, ranging in age from 15 to 18. The English proficiency level of all classes spanned mostly the B1
3
and
B2
4
levels as estimated by their teachers. With the exception of one intervention group that received on average two English sessions of
50 minutes per week, other groups received three sessions of 50 minutes. Both groups received regular instruction consisting of ac-
tivities dealing with the four language skills. For the purpose of this study, while the intervention students were involved in the debate
intervention (once a week), the control students received extra regular instruction (in which the four skills were further practiced). See
the intervention section for details about argumentation.
2
For more information about the Dutch education system see: https://www.nufc.nl/en/subjects/education-in-the-netherlands/#secondary-
education.
3
Intermediate level according to the Common European Framework of Reference (CEFR).
4
Upper-intermediate level according to CEFR.
A. Majidi et al.
System 101 (2021) 102576
5
5.3. The intervention
The debate task was developed and validated in a previous study following the principles and guidelines of educational design
research (see, for example, McKenney & Reeves, 2012). The intervention students who participated in ten debates were informed at
least one week in advance of the debate topic. They were allowed to choose the topics that interested them and the side they wanted to
defend (i.e. an afrmative or a negative side). We employed two debate formats that were extensively tested before the intervention
took place: debating in a group of four debaters (two students in favor and two against) and a one-to-one debating format. All debates
had three phases: constructive speech, rebuttal and clash (see e.g. Snider & Schnurer, 2006).
Table 1 presents the activities performed in each debate session in addition to the tasks involving argumentation performed by the
control students during the intervention.
Since students in the intervention group (in different schools) were allowed to choose topics, their readings were not exactly the
same. This also applies to the students in the control group who were allowed to choose their own articles (which as indicated in
Table 1 included argumentative articles). It follows, then, that specic content is not likely to interfere with our ndings. It is worth
mentioning that the intervention students also wrote persuasive essays and letters. However, in order not to disadvantage the control
students in terms of the amount of practice with the argumentative discourse, we allowed them to write more essays and letters. More
precisely, during the intervention the control group wrote on average two more essays and one more letter than the intervention group.
Additionally, the control groups read and summarized three more articles, of which some were argumentative.
5.4. Procedures
To examine whether the debate intervention had impact on written and oral arguments, we analyzed and compared two written
and two oral texts (argumentative opinion tasks) produced by the intervention and control groups during pre- and posttest (see
Table 2). As to the writing task, we selected two controversial topics: (1) capital punishment should be legalized, and (2) abortion
should be banned. Topics like capital punishment and abortion compared to many other social issues are accessible topics with clear
sides (with each side having abundant arguments). Having clear sides is likely to enable our participants to generate counterarguments
and rebuttals. These topics were previously piloted and proved to t our context.
To evaluate the studentsoral arguments, we employed (semi) unplanned opinion tasks, involving different topics (e.g. smoking
should be banned) which were randomly assigned to students. The students received 7 minutes to prepare and write down any notes
they wished to use in their oral opinions. Not offering students 7 minutes of preparation would lead to very short speeches which would
not reect the oral argumentative competence of the participants. The conditions around pre- and post-assessments were the same for
both the intervention and control groups. School and parental permission forms were obtained prior to the beginning of the
intervention.
It is important to note that during the 25 minutes of preparation time, the participants received a preselected article from the
instructor with opposing views on the same topic and were allowed to surf the net for more arguments to build their content
knowledge. 25 minutes of preparation time was deemed to be sufcient for the participants to prepare for the writing opinion task (Qin
& Karabacak, 2010). After preliminary preparation, we collected the texts to prevent the students from copying the articles. We then
tasked the students to write a 15-minutes timed text defending their side.
We believe that a free writing opinion task which is not governed by any particular writing conventions would allow students to
focus more on arguments and their articulation.
5
Furthermore, we believe that free opinion tasks are likely to provide a more ne-
grained picture of students use of counterarguments and rebuttals than essays since our students were already instructed (before
the intervention) to compose two-sided essays. The topics of the pre- and post-test opinion tasks (capital punishment and abortion)
were counterbalanced to avoid any potential topic effect.
5.5. Data analysis
5.5.1. Argument structure analysis
A model that has been widely accepted and used as an instrument of structural analysis of arguments is Stephen Toulmins model of
argumentation (Huh & Lee, 2014; Xargia, 2016). Toulmins analytical framework (1958, 2003) has been extensively used in L1 context
and is increasingly adopted to examine learnersargumentation in L2/FL context (Cheng & Chen, 2009; Huh & Lee, 2014).
Toulmins argument model involves a structural analysis that breaks an argument into six components which are then divided into
two groups. The rst group, known as primary elements, form the foundation for the argument: claim (i.e. the conclusion of an
argument or position being argued for), data (i.e. the evidence advanced to support a claim) and warrant (i.e. the reasoning that
establishes a link between data and claim). Warrants are mostly implicit as the link is expected to be understood. The second group of
elements, which are optional, are known as secondary elements and can be used to strengthen the argument by complementing the
primary elements. These elements are rebuttal (i.e. addresses the conditions which could defeat the claim), qualier (i.e. placing limits
on the strength of the claim) and backing (i.e. support for the warrant).
5
This is based on our experience and piloting stage. Unlike, for example, essays which are governed by a number of conventions (e.g. structure,
thesis statement, etc.), free opinion tasks, which are not constrained by these conventions, allow students to direct their attention more to the
construction and formulation of arguments.
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System 101 (2021) 102576
6
Although there are some criticisms levelled against Toulmins model, most of which mainly concern the difculties of discerning
each element, several studies have demonstrated a close relationship between the Toulmin elements and argumentative writing
qualities (e.g. Crammond, 1998; Paek & Kang, 2017).
In order to deal with the inadequacies of the Toulmin model, several researchers modied this model, mostly by reducing or
modifying its features (Cheng & Chen, 2009; Connor, 1990; Crammond, 1998). Accordingly, to serve the purpose of this research, we
also modied Toulmins model to accommodate the range of structural variations that are encountered in the arguments composed by
L2 secondary school students in our study.
In the current study (see appendix A), we coded the Toulmins primary elements (i.e. claim, data and warrant) and following
Crammond (1998) and Cheng and Chen (2009), we added four structural elaborations and modications to Toulmins model: Firstly,
the backing element in the present study includes in addition to backing for warrants also backing for data, qualiers, alternative
solutions, counterarguments and rebuttals. Secondly, qualiers are modied to include the conditions that limit the applicability or
validity of the claim (reservation) or the conditions under which the claim would apply (constraints). Thirdly, unlike in the Toulmin
model, rebuttals in the present study refer to the debaters response to opposing views that challenge the debaters claim. Fourthly,
following Crammond, and Cheng and Chen, we also coded alternative solutions which refer to possible solutions or answers to the issue
under consideration. Lastly, after we had performed some preliminary coding, we realized that it was needed to include an additional
element also employed by Karabacak and Qin (2016): background information which consists of general information about the issue
and to introduce a novel element in our analysis: subordinate arguments which are sub-arguments that back up a main argument.
Lastly, to assess the overall complexity and structural sophistication of the argumentation presented in each text, we developed a
classication scheme (see appendix B) that classies texts in terms of the structural complexity of argumentation pattern. In devel-
oping this framework, we drew on Osborne et al. (2004), Venville and Dawson (2010) and Erduran et al. (2004). Of particular
importance in this framework is that texts consisting of rebuttals are accorded a high score because, as Kuhn (1991) argued, the ability
to use rebuttals is ‘‘the most complex skill,’’ as an individual must ‘‘integrate an original and alternative theory, arguing that the
original theory is more correct’’ (p. 145). Thus, rebuttals are an essential element of arguments of better quality and demonstrate a
higher-level capability with argumentation(Osborne et al., 2004, p. 1009).
To perform structural analysis, all texts received an overall score for argumentation complexity and a frequency score for each
dependent variable (e.g. data and sub-arguments). For example, the sub-argument score reects the number of sub-arguments used in
each text (see Appendix D).
5.5.2. Argument quality analysis
The adapted Toulmin argumentative framework used for evaluation in the present study only addresses the surface argumentative
structure, the shell of the argument (see Qin & Karabacak, 2010). However, for a comprehensive evaluation of the argumentative
competence, the quality of the student-generated arguments needs to be assessed as well.
To assess the quality of each production, we developed a 5-point rating scale comprising a set of items that tap into different aspects
of the reasoning quality, including organization (e.g. to what extent are the arguments well organized and ow well), sufciency,
clarity, elaboration, relevance, persuasiveness and addressing the opposing view in addition to holistically assessing the overall quality
of each production (see Appendix C for more elaboration). Following this model, arguments increase in quality as they become
Table 1
Main activities conducted during the intervention.
Intervention students Control students
Pre-debate stage
Reading two articles (related to the topic under debate) and
summarizing them. The instructor provided one article and the
students had to nd another one.
Writing cases
During-debate stage
Noting down the arguments of the opponents as debaters have to
rebut them during the rebuttal and clash stages.
Reading and summarizing (argumentative) newspaper articles (e.g.
the Guardian) covering current issues, including political and
changes in policies issues.
Writing controversial persuasive essays (e.g. school uniforms should
be introduced in schools).
Writing letters, especially complaint letters in which students have to
express dissatisfaction with a particular service and accordingly
convince the addressed company of providing a refund.
Table 2
Data collection procedures.
Pretest
Writing a 15-minute opinion task after 25 minutes preparation time.
Producing an oral opinion (with no time limits) after 7 minutes of preparation time.
Intervention (intervention group) No intervention (control group)
See Table 1 for the activities conducted during the intervention See Table 1 for the activities conducted during the intervention
Posttest
Writing a 15-minute opinion task after 25 minutes preparation time.
Producing an oral opinion (with no time limits) after 7 minutes of preparation time.
A. Majidi et al.
System 101 (2021) 102576
7
increasingly organized, sufcient, clear, elaborated, relevant, persuasive and address the opposing view. In developing this quality-
oriented evaluation framework, we drew heavily on coding schemes developed and validated by Qin and Karabacak (2010) and
Ferretti et al. (2000). In appendix D, we have provided an Example of the scoring procedures for two written texts.
5.6. Interrater reliability
To perform a structural analysis of the written and oral arguments produced, we identied elements of arguments and calculated
their frequencies. Efforts to achieve acceptable interrater reliability were made as follows: The rst two authors rst went through
practice sessions, scoring some texts and then compared scores and discussed the discrepancies to clarify and standardize/calibrate the
interpretation of coding. After the practice sessions, the rst author coded the entire dataset. To calculate reliability scores, a random
sample of 25% was checked by the second author who was not involved in carrying out the intervention and data collection and was
blind for condition. Reliability scores were calculated using Cohens Kappa and were: background information (1), claim (1), data
(0.83), sub-arguments (0.81), warrants (0.82), counterarguments (0.92), rebuttals (0.93), qualiers (0.93), alternative solutions (0.97)
and backings (0.92).
The rst author and a research assistant coded the quality aspects of the data. After the practice sessions, the rst author and a
research assistant independently scored a randomly selected sample of 25% of data (of both written and oral arguments). Reliability
scores were calculated using Cronbachs alpha and were: overall assessment (0.87), organization of argument (0.82), sufciency of
arguments (0.89), clarity of arguments (0.81), elaboration of arguments (0.86), relevance of arguments (0.77), persuasiveness of
arguments (0.79) and addressing opposing views (0.61). After resolving the disagreements the research assistant who was unaware of
the data sources scored the remaining data.
5.7. Statistical analysis
As our participants came from different classes within different schools, our data were structured hierarchically. We therefore
applied multilevel linear models (MLM). We used a two-level hierarchical linear model to account for the multilevel data structure
with students nested within classes. We modeled the independent variables (time and condition) as xed effects and random variations
across students and classes as random effects.
To establish the effectiveness of the debate intervention, we need to take into account the combined effect of both main factors. In
other words, we need to focus on the interaction of time (pre vs post) ×group (intervention vs control group). For these reasons, we
limit ourselves to reporting interactions.
6. Results
6.1. Structural analysis
Table 3 presents the descriptive statistics (estimated means and standard errors) for the structural analysis of written data and
Table 4 for oral data.
One comment needs to be made on the basis of these statistics: the participants in both groups seem to have the tendency to heavily
rely on the fundamental elements of argument structure (claim and data) in defending their positions. The other secondary argument
elements were used less frequently, especially in the oral argumentation.
To answer the rst research question about the impact of the debate intervention on the structural elements of the participants
argumentation, we conducted MLM analyses. To estimate the magnitude of the difference between the intervention and control
groups, we used Cohens d effect size (ES) when signicant differences were observed. The MLM results with regard to structural
analysis are presented in Table 5 for written data and in Table 6 for oral data.
Table 5 shows that the debate intervention appears to have an impact on a number of structural elements of the participants
written argument. MLM revealed that the intervention group signicantly improved in terms of overall argumentation complexity (F
(1,
284.690)
=5.6; p =.010) with a moderate to large ES (0.59), the use of data (F
(1, 284.261)
=4.7; p =.016) with a moderate ES (0.51), sub-
arguments (F
(1, 284.642)
=9.1; p =.002) with a moderate to large ES (0.72), counterarguments (F
(1, 281.167)
=2.9; p =.045) with a
moderate ES (0.42), rebuttals (F
(1, 292)
=3.1; p =.040) also with a moderate ES (0.45). The students in the intervention group also
showed a signicant improvement in terms of their use of qualiers (F
(1, 292)
=3.4; p =.034) and backings (F
(1, 284.521)
=3; p =.043)
with moderate effects on the two indices: 0.45 for qualiers, 0.41 for backings.
As to oral arguments, the students in the intervention group also showed a signicant improvement in terms of overall argument
complexity (F
(1, 286)
=9.8; p =.001) with a moderate to large ES (0.78), the number of data (F
(1, 278.327)
=22.5; p <.001) with a large
ES (1.14), sub-arguments (F
(1, 278.912)
=13; p <.001) also with a large ES (0.89), warrants (F
(1, 279.519)
=6.5; p =.006) with a
moderate to large ES (0.65), counterarguments (F
(1, 286)
=4.4; p =.019) with a moderate ES (0.52) and rebuttals (F
(1, 286)
=7.4; p =
.004) with a moderate to large ES (0.69).
6.2. Argument quality analysis
Tables 7 and 8 display the descriptive statistics of argument quality analysis for both written and oral data respectively.
To answer the second research question, MLM was performed to establish whether the intervention managed to exert impact on the
A. Majidi et al.
System 101 (2021) 102576
8
quality of the arguments produced by the intervention participants in comparison to their control peers. The results are displayed in
Table 9 for written data and in Table 10 for oral data.
Tables 9 and 10 reveal that the debate intervention seems to have improved the majority of the quality aspects of written as well as
oral arguments. As to written arguments, MLM showed that the intervention groups signicantly improved from pretest to posttest
compared to the control groups in terms of organization of arguments (F
(1, 283.887)
=11.1; p =.001) with a moderate to a large ES
(0.71), clarity of arguments (F
(1, 283.928)
=4.9; p =.014) with a moderate ES (0.49), elaboration of arguments (F
(1, 284.041)
=9.2; p =
.002) with a moderate to large ES (0.65), relevance of arguments (F
(1, 283.953)
=3.9; p =.024) with a moderate ES (0.43) and
persuasiveness of arguments (F
(1, 284.012)
=3.3; p =.036) also with a moderate ES (0.40).
With regard to oral arguments, MLM analyses revealed that the intervention group signicantly outperformed the control group in
Table 3
Means and standard errors of outcome variables across time and condition of written data.
Measures Intervention group (n =95) Control group (n =51)
Pretest Posttest Pretest Posttest
Overall argument complexity 2.63 (.14) 3.33 (.14) 2.88 (.18) 2.93 (.18)
Background information 0.10 (.04) 0.10 (.04) 0.12 (.05) 0.12 (.05)
Claim 1.00 (.01) 0.98 (.01) 1.00 (.01) 1.00 (.01)
Data 3.49 (.25) 4.20 (.25) 4.37 (.33) 4.33 (.33)
Sub-arguments 1.88 (.25) 3.05 (.25) 2.23 (.33) 2.21 (.33)
Warrants 0.13 (.06) 0.21 (.06) 0.33 (.08) 0.25 (.08)
Counterarguments 0.18 (.06) 0.34 (.06) 0.37 (.08) 0.30 (.08)
Rebuttals 0.21 (.06) 0.47 (.06) 0.35 (.09) 0.35 (.09)
Qualiers 0.08 (.04) 0.25 (.04) 0.06 (.05) 0.06 (.05)
Alternative solutions 0.18 (.05) 0.23 (.05) 0.18 (.06) 0.29 (.06)
Backings 0.21 (.09) 0.52 (.09) 0.24 (.12) 0.30 (.12)
Table 4
Means and standard errors of outcome variables across time and condition of oral data.
Measures Intervention group (n =96) Control group (n =51)
Pretest Posttest Pretest Posttest
Overall argument complexity 1.79 (.09) 2.46 (.10) 1.94 (.13) 1.90 (.13)
Background information 0 (.01) 0.01 (.01) 0 (.01) 0.02 (.01)
Claim 0.99 (.01) 1.00 (.01) 1.00 (.01) 1.00 (.01)
Data 2.07 (.13) 2.99 (.13) 2.58 (.18) 2.39 (.18)
Sub-arguments 0.75 (.14) 1.95 (.14) 0.76 (.18) 0.99 (.18)
Warrants 0.04 (.04) 0.27 (.05) 0.06 (.06) 0.04 (.06)
Counterarguments 0.05 (.04) 0.24 (.04) 0.08 (.05) 0.08 (.05)
Rebuttals 0.05 (.04) 0.28 (.04) 0.12 (.06) 0.08 (.06)
Qualiers 0 (.01) 0.02 (.01) 0 (.02) 0.02 (.02)
Alternative solutions 0.02 (.01) 0.01 (.01) 0.02 (.02) 0.02 (.02)
Backings 0.03 (.03) 0.12 (.03) 0.02 (.04) 0.02 (.04)
Table 5
Multilevel analysis results of written data.
Measures Fixed effects Random effects
Denominator df F P (one- tailed) d Variance within class Variance between class
Overall argument complexity 284.690 5.610 .010 .59 1.20 .03
Background information 284.017 .000 1.00 .91 .00
Claim 286.532 1.104 .147 .00 4.31
Data 284.261 4.680 .016 .51 2.02 .21
Sub-arguments 284.642 9.105 .002 .72 2.57 .16
Warrants 284.216 1.606 .103 .24 .00
Counterarguments 281.167 2.893 .045 .42 .32 .00
Rebuttals 292 3.085 .040 .43 .37 .00
Qualiers 292 3.359 .034 .45 .14 .00
Alternative solutions 292 .360 .549 .19 .00
Backings 284.521 2.993 .043 .41 .34 .02
Numerator df =1.
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System 101 (2021) 102576
9
Table 6
Multilevel analysis results of oral data.
Measures Fixed effects Random effects
Denominator df F P (one-tailed) d Variance within class Variance between class
Overall argument complexity 286 9.838 .001 .78 .83 .00
Background information 291 .219 .320 .01 .00
Claim 291 .537 .232 .00 .00
Data 278.327 22.492 .000 1.14 .90 .04
Sub-arguments 278.912 12.973 .000 .89 1.17 .03
Warrants 279.519 6.515 .006 .65 .15 .00
Counterarguments 286 4.364 .019 .52 .14 .00
Rebuttals 286 7.369 .004 .69 .15 .00
Qualiers 279.997 .007 .466 .01 .00
Alternative solutions 286 .102 .375 .02 .00
Backings 279.421 1.856 .087 .07 .00
Numerator df =1.
Table 7
Means and standard errors of outcome variables across time and condition of written data.
Measures Intervention group (n =95) Control group (n =51)
Pretest Posttest Pretest Posttest
Overall assessment 2.67 (.13) 3.05 (.13) 2.59 (.17) 2.85 (.17)
Organization of arguments 2.32 (.17) 3.05 (.17) 2.21 (.22) 2.44 (.22)
Sufciency of arguments 2.44 (.20) 2.89 (.20) 2.34 (.26) 2.60 (.26)
Clarity of arguments 2.34 (.17) 2.93 (.17) 2.39 (.22) 2.60 (.22)
Elaboration of arguments 2.26 (.19) 2.86 (.19) 2.42 (.25) 2.50 (.25)
Relevance of arguments 2.56 (.17) 3.10 (.17) 2.60 (.22) 2.82 (.22)
Persuasiveness of arguments 2.53 (.16) 3.04 (.16) 2.55 (.21) 2.75 (.21)
Addressing the opposing view 1.35 (.08) 1.54 (.08) 1.30 (.10) 1.63 (.10)
Table 8
Means and standard errors of outcome variables across time and condition of oral data.
Measures Intervention group (n =96) Control group (n =51)
Pretest Posttest Pretest Posttest
Overall assessment 2.33 (.06) 2.86 (.06) 2.28 (.08) 2.31 (.08)
Organization of arguments 1.92 (.07) 2.58 (.07) 1.90 (.09) 2.00 (.09)
Sufciency of arguments 1.89 (.09) 2.60 (.09) 1.98 (.11) 2.02 (.12)
Clarity of arguments 1.98 (.08) 2.64 (.08) 2.18 (.11) 2,08 (.11)
Elaboration of arguments 1.91 (.06) 2.55 (.06) 1.93 (.08) 2.07 (.08)
Relevance of arguments 2.21 (.08) 2.80 (.08) 2.49 (.10) 2.42 (.10)
Persuasiveness of arguments 2.19 (.08) 2.79 (.08) 2.33 (.11) 2.28 (.11)
Addressing the opposing view 1.00 (.03) 1.09 (.03) 1.06 (.04) 1.07 (.04)
Table 9
Multilevel analysis results of written data.
Measures Fixed effects Random effects
Denominator df F P (one- tailed) d Variance within class Variance between class
Overall assessment 283.955 .672 .207 .38 .06
Organization of arguments 283.887 11.109 .001 .71 .37 .13
Sufciency of arguments 284.026 1.173 .140 .52 .17
Clarity of arguments 283.928 4.870 .014 .49 .50 .11
Elaboration of arguments 284.041 9.155 .002 .65 .50 .16
Relevance of arguments 283.953 3.937 .024 .43 .42 .12
Persuasiveness of arguments 284.012 3.289 .036 .40 .48 .10
Addressing the opposing view 284.925 .905 .171 .35 .01
Numerator df =1.
A. Majidi et al.
System 101 (2021) 102576
10
all quality measures with a large ES except addressing the opposing view
6
index which approached signicance: overall assessment (F
(1,
287)
=14.3; p <.001), organization of arguments (F
(1, 279.185)
=22.7; p <.001), sufciency of arguments (F
(1, 280)
=20.6; p <.001),
clarity of arguments (F
(1, 278.988)
=26.6; p <.001), elaboration of arguments (F
(1, 280.129)
=13.9; p <.001), relevance of arguments
(F
(1, 279.459)
=19.3; p <.001) and persuasiveness of arguments (F
(1, 279.283)
=18.6; p <.001).
7. Discussion
In this study, our goal was to examine the effects of in-class debates on participantswritten and oral argumentative competence.
The ndings, on the whole, conrmed our hypotheses and revealed that the debate intervention impacted in a positive way on a
number of structural and quality aspects of the argumentative competence of the intervention participants written and oral argu-
mentation. Though we cannot rule out the possibility that consistent practice could have some effect on the ensuing effects, we believe
that practice effect cannot merely account for the robust signicant gains. This practice took place in an authentic, meaningful and
interactional environment that facilitated collaborative reasoning in which the debaters appropriated argumentative strategies and
awareness of what makes reasoning effective.
The developmental trends in the structural and quality aspects of written arguments were, to a large extent, similar to the
development patterns in students oral argument output. These developmental patterns further testify to the effectiveness of the
intervention and suggest that there was a transfer of gains between the oral and written argumentative skills. The debate intervention
facilitated a close connection between the arguments in the two modalities (i.e. writing and speaking) and hence made the transfer of
gains easier. Students wrote cases to be delivered, and they assumingly carried the experience they get after participating in each
debate to the next one. In this way the gains strengthened and transferred between the two modalities.
It is important to note that the intervention students did not get any instruction on the structure of argument and what promotes its
quality. Rather, they seem to incrementally come to realize after participating in the intervention that convincing a critical opponent
hinges on the strength and soundness of their arguments. The recurrent mission to persuade this latter has sharpened their critical
thinking and provided them with insight into their reasoning capacity and grasp of what counts as good and persuasive evidence. This
nding corresponds with Venville and Dawson (2010) and gives further support to Kuhns (1991) premise that argumentation skills
exist within students in a latent or embryonic state and that through participation in argumentative activities, students are able to
develop the complexity of their argumentation. This suggests that developing argumentative skills require sustained practice in rich
environments that entail the use of these skills (Crowell & Kuhn, 2014; Kuhn, 2018).
Another feature of debates that might have contributed to the emerged results is the presence of audience in the form of opponent
peers. Berland and McNeill (2010) and Chen et al. (2016) maintain that the audience provides students with an urgent reason to
develop persuasive and more complex arguments and connect oral and written arguments.
We will now further zoom in and expatiate on the ndings. The intervention students signicantly used more data both in their
written and oral production in the posttest. The debate environment seems to foster the conviction that a considerable quantity of data
is needed to defend ones point of view. Another possible explanation is that the intervention itself increased the debaters argu-
mentation uency.
7
This is more apparent with oral data because during the oral task (which was semi-spontaneous) the participants
had to think up arguments after only 7 minutes of preparation. Earlier research correlated data quantity with the argumentative quality
of writing (e.g. Huh & Lee, 2014). The intervention students also generated signicantly more sub-arguments in both modalities in the
posttest. Sub-arguments represent more complex, hence more sophisticated arguments (e.g. Hoffmann, 2016; Wang, 2016). The
signicant increase in the use of sub-arguments to buttress main arguments (data) is an indication of the positive effect on the depth of
reasoning and critical thinking of debaters.
Progress was also made in terms of the use of warrants as compared to control groups, with signicance reached for the oral
argumentative discourse. The presence of warrants indicates that the debate intervention infused in the students the ability to
recognize the need to justify the link made between the data and the claim. Warrants, which are seldom employed in student
Table 10
Multilevel analysis results of oral data.
Measures Fixed effects Random effects
Denominator df F P (one-tailed) d Variance within class Variance between class
Overall assessment 287 14.332 .000 .93 .29 .00
Organization of arguments 279.185 22.668 .000 1.16 .23 .01
Sufciency of arguments 280 20.567 .000 1.08 .36 .02
Clarity of arguments 278.988 26.617 .000 1.25 .35 .02
Elaboration of arguments 280.129 13.918 .000 .91 .30 .00
Relevance of arguments 279.459 19.347 .000 1.09 .35 .01
Persuasiveness of arguments 279.283 18.595 .000 1.05 .37 .01
Addressing the opposing view 278.977 2.323 .065 .04 .00
6
Note that the interrater reliability for addressing opposing views variable is quite low, and hence its results should be interpreted with caution.
7
We are not aware of the use of this term in literature which we would dene as the ease with which a learner can think up arguments (i.e. a
smooth ow of arguments).
A. Majidi et al.
System 101 (2021) 102576
11
argumentation (e.g. Crammond, 1998; Cheng, 2010), enhance the rhetoric and persuasiveness of an argument (Crammond, 1998).
The intervention also seems to have an effect on some of the secondary components of written and oral arguments though their use
remained limited. The intervention students signicantly raised more counterarguments and refuted them in the posttest. The
employment of counterarguments and addressing them evince the ability to identify with a critical audience with an opposing
perspective; this ability entails great epistemological sophistication and perspective taking (Crammond, 1998; Hays & Brandt, 1992).
Responding to counterarguments is regarded as a hallmark of critical thinking (e.g. Liu & Stapleton, 2014; Nussbaum & Schraw, 2007)
and as an indicator of a writers rhetorical and reasoning competence (Cheng & Chen, 2009). It enhances the quality, persuasiveness
and effectiveness of arguments (Crammond, 1998; Erduran et al., 2004; Nussbaum et al., 2005; OKeefe, 1999).
The intervention students also signicantly outperformed their control counterparts in terms of the utilization of qualiers in their
written argumentation. Crammand (1998) considers the use of qualication as an important rhetorical aspect of persuasiveness.
Qualication indicates some concession on the debaterside to the audiences concerns. By placing some limit on the scope of the
claim, it will sound more acceptable (Cheng & Chen, 2009). The signicant increase in the use of qualication could be also seen as a
sign of becoming more open-minded as the intervention students try to show more understanding for their opponentsviewpoints (see
Kennedy, 2007, 2009).
Compared to the control group, the intervention group employed more backings in the posttest. The use of backings structurally
extend and elaborate arguments and hence strengthen them (Cheng & Chen, 2009), and are seen as a powerful rhetorical strategy to
obtain the audiences acceptance of the debaters claim (Crammond, 1998).
For a contribution to be persuasive, not only must it have arguments of good surface structure (i.e. structural sophistication), but its
arguments must be cogent and have qualitative sophistication as well (e.g. Paek & Kang, 2017; Qin & Karabacak, 2010). That is, the
claims need to be buttressed with sufcient, relevant, sound, clear and convincing arguments. Put differently, not only the structure,
but also the content of arguments needs to be sound. In the posttest, the intervention students managed to produce qualitatively better
written and oral arguments than students in the control group.
During the actual debates, especially during the rebuttal and clash stages, the students challenged each others reasoning; they
questioned the credibility and appropriateness of the advanced arguments, demanded more elaborations and justications and
critiqued reasoning inadequacies and inconsistencies. By addressing these attacks on their line of reasoning, the students seem to have
fostered a critical verication of arguments and accordingly developed a sophisticated grasp of what constitutes good quality
reasoning.
8. Research directions and limitations
This study has also made a case for implicit instruction in fostering L2 argumentative skills. Nonetheless, it would be interesting and
worth investigating whether explicit instruction about the different structural and quality aspects of argumentation (prior to debating)
would further promote the obtained gains. Moreover, it would be also interesting to investigate to what extent improvement in L2
argumentation impacts different dimensions of L2 writing and speaking skills. This area is especially relevant because nding links
between high-order thinking (argumentation) and language development would have important implications for the pedagogy of L2/
FL learning and teaching. Lastly, as suggested by an anonymous reviewer, future research would benet from investigating the lin-
guistic features, including lexical, syntactical and stylistic features that characterize strong arguments. This research is likely to afford
us with tools that can inform us of how to effectively instruct argumentation.
The current study has some noteworthy limitations which open up avenues for future research. First, we have only analyzed one
oral and one written task of each participant. Future research would benet from eliciting and analyzing more data per participant.
This would yield more ne-grained insights into the argumentative competence of participants. Second, although the current study
provides robust empirical evidence on the effect of debate pedagogy on L2 argumentation skills, a delayed post-test could have
provided additional insights into the long-term effect of the intervention. Third, as noted in the introduction of this article, one of the
potential benets of developing L2 argumentation skills is empowering L2 learners to produce good argumentative essays. Though this
research suggests that the intervention students have honed their ability to produce structurally complex and qualitatively well-
reasoned arguments, this does not conclusively indicate that these students will be going to correspondingly produce better argu-
mentative essays (at least in terms of argumentation) which are longer pieces of writing and whose production is more complex and
demanding. This is an interesting research direction of invaluable implications to take in future studies. Fourth, the current study
tracked the effect of debate on argumentation development in an argumentative task which seems more than warranted. Nevertheless,
it would be useful to examine the effect of debate pedagogy on argumentation with genres other than argumentative writing (e.g.
letters and reports) to gain insights into the transferability of the effects (i.e. genre-independent effects).
9. Conclusion
Strong argumentative competence in L2 is an important educational objective; its realization can only come about if there are
learning tools that guide and stimulate students to engage in cognitive processes that orient the mind towards fostering more so-
phisticated view of argument and evidence. The present study stakes out a case for the effectiveness of L2 in-class debates, which
proved to offer fertile ground for honing L2 argumentation skills and metacognitive knowledge of argumentation. The debate inter-
vention in the present study has improved a number of aspects of argument structure and quality of the intervention group. After the
intervention, the debaters displayed a marked tendency to diversify their arguments with sophisticated structural components. They
tended to bolster their positions with strong and well-grounded evidence (with more backings), highlight its link to claims (through
A. Majidi et al.
System 101 (2021) 102576
12
warrants), hedge the strength of their claims (with qualiers), anticipate potential counterarguments and pinpoint inadequacies in
them (rebuttals).
Pedagogically, this study has not only testied to the effectiveness of L2 debate as a vehicle to develop studentsL2 argumentative
skills, but it has also shed light on many pedagogical features that can presumably even stimulate scaffolding and rening reasoning
skills beyond the L2 context since argumentation lies at the heart of education in general. These characteristics include the presence of
an authentic audience (opponents, classmates and the teacher), competitive environment that prompts students to engage in rich
negotiations, linkage and interplay between written and oral argumentation, and engagement in systematic and sustained practice.
We hope that the ndings of this study would stimulate L2 instructors to consider employing in-class debates on a regular basis in
their teaching practice. We believe that in-class debates need to become an integral part L2/FL curriculum. Debates as a teaching tool
are credited and welcomed by students and hold the potential for honing other skills, including L2 language skills (e.g. el Majidi et al.,
2020). So, they are worth the effort, as the potential pay-off is substantial.
Author statement
Abid el Majidi: Conceptualization; Methodology; Formal analysis; Investigation; Data curation; Writing original draft; Writing
review & editing; Funding acquisition, Daniel Janssen: Conceptualization; Methodology; Validation; Writing review & editing;
Supervision; Funding acquisition, Rick de Graaff: Conceptualization; Methodology; Validation; Writing review & editing; Super-
vision; Funding acquisition.
Acknowledgement
This work has been nanced by the Dutch Research Council.
Appendix A. Framework for structural analysis of argumentation
Structural components Examples from data
Background information The death penalty is used for murderers, rapist and people and that commit horrible crimes.
Claim I am against the death penalty. I have a few arguments that support my opinion.
Data 1 First of all, some innocent people might get killed.
Data backing A study shows that over four percent of the prisoners who got convicted to death penalty in the United States were actually
innocent.
Data 2 The criminal should suffer from his or her actions.
Warrant (data 2) If you kill the criminal you make his or her life easier.
Data 3 Second, racial and socio-economic discrimination play a big role.
Subordinate argument
(data 3)
Its proven that Afro-American or Latin prisoners are more likely to be convicted to death penalty than white prisoners.
Counterargument many people often say that the death penalty is only given to those who deserve it.
Rebuttal but a lot of the times prosecutors are xated on one suspect and end up pinning the crime on them.
Rebuttal backing Many innocent people have been executed for crimes they did not commit. I am not saying every prosecutor is biased. But it is not
fair to have some people receive a punishment they did not deserve just because someone believes you committed a crime.
Alternative solution I think that living a long life behind bars is a punishment greater than death.
Alternative solution
backing
Every day will be a reminder for them that they are in prison because of the bad thing that they have done. They will have to live
with that guilt every day for the rest of their life.
Constraint First of all, I agree that not every criminal should be punished but only the criminals who did something very bad like, murdering
someone.
Appendix B. Scale for the assessment of the overall argumentation complexity
Complexity
level
Level 1 texts containing only a claim and data.
Level 2 texts containing a claim, data and sub-arguments and/or warrants.
Level 3 texts containing a claim, data (sub-arguments/warrants) and at least one of the following components: qualiers, alternative solutions or
backings.
Level 4 texts containing a claim, data (sub-arguments/warrants) and rebuttals.
Level 5 texts containing a claim, data (sub-arguments/warrants), rebuttals and at least one of the following components: qualiers, alternative
solutions or backings.
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System 101 (2021) 102576
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Appendix C. Framework for the analysis of argumentation quality
Aspects of quality 1 5
Overall assessment The (oral) text as a whole is adequate and well-argued.
Organization of arguments The (oral) text is well-organized (coherent) and ows well.
Sufciency of arguments The number of arguments is adequate and sufcient.
Clarity of arguments/
comprehensibility
The (oral) text is compressible. The arguments are clearly formulated.
Elaboration of arguments The arguments are well-elaborated (e.g. with examples, analogies, citing authorities, etc.).
Relevance of arguments The arguments presented are relevant.
persuasiveness of arguments The arguments presented are convincing.
Addressing the opposing view The (oral) text addresses the opposing view(s) adequately.
Appendix D. Examples of scoring procedures for two written texts
Example 1.
I am against legalizing abortion, because of the following reasons. Claim
First of all, being able to bear children is a gift of god and at the moment you decide to kill it youre deciding against the will of god.
Data 1.
Second, abortion could lead to mental and physical pain. Data 2.
An example of mental pain is that a lady could get suicidal tendencies. Subordinate argument (data 2).
An example of the physical pain, is the pain while the operation is nding place. Subordinate argument 2 (data 2).
Third, while youre utilizing abortion, you are murdering a child. Data 3.
A baby is a human being and has also rights. Data 4.
Last of all, there are ladies with the wish to bear children. it is not fair against those ladies which are not even able to bear children.
Data 5.
Argumentation structural analysis.
Overall argument complexity Claim Data Sub-arguments
2 1 5 2
Quality of arguments analysis.
Overall assessment Organization Sufciency Comprehensibly/clarity
3 3.5 3 3
Elaboration Relevance Persuasiveness Opposing view
3 3.5 3 1
Example 2.
I believe that abortion should stay legal. These are the arguments which I base my opinion on. Claim.
First and foremost, women should do whatever they want with their body. You should not be the one who makes the decisions for
her. Data 1.
Furthermore, there are sometimes babies born which are unwanted. Data 2.
Mothers will not care for their baby as they should. Subordinate argument (data 2).
There are also personal issues involving abortion. Many mothers that dont want to raise the baby, because they want to have a
successful career or nish their school. Data 3.
Moreover, there are several diseases which can be transferred through sexual interaction. Data 4.
You dont want a baby coming into this world with aids or any other disease. Subordinate argument 2 (data 4).
Besides, in 1970 abortion was illegal. This meant that mothers who do not wish to bring a baby into this world, had to perform
unsafe abortion in secrecy. As a result, there were a lot of mothers who died after the abortion. Data 5.
In todays world, you will be able to go through an abortion. and you will have no after effects from the surgery. Data 6.
Also, mothers who are addicted to drugs, alcohol or smoking, will not prioritize the health of their baby. Data 7.
Lastly, people say that adoption is an option for abortion. Counterargument.
If there was no abortion performed, there would be no place for many babies in foster homes or abortion babies, because there isnt
enough place. Rebuttal.
Argumentation structural analysis.
A. Majidi et al.
System 101 (2021) 102576
14
Overall argument complexity Claim Data Sub-arguments Counterargument Rebuttal
4 1 7 2 1 1
Quality of arguments analysis.
Overall assessment Organization Sufciency Comprehensibly/clarity
4 4 4 4
Elaboration Relevance Persuasiveness Opposing view
3.5 4 4 3
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You can access the article through google scholar: file:///C:/Users/aelmajidi/OneDrive%20-%20LMC%20Voortgezet%20Onderwijs/Downloads/3_STUDENTS_PERCEIVED_EFFECT_OF%20(3).PDF
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