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In-service mathematics teachers' knowledge of differentiated instruction

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  • St. Joseph's College of Education

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This study sought to investigate in-service mathematics teachers’ knowledge of differentiated instruction in junior high schools in Tano South Municipality of Ghana. The study adopted an explanatory sequential mixed method design. We employed a sample of 50 JHS mathematics teachers comprising 41 general in-service teachers and 9 special in-service teachers in the quantitative study through a proportionate stratified sampling technique. In the qualitative phase, 6 JHS mathematics teachers comprising 4 general in-service teachers and 2 special in-service teachers were purposively selected and interviewed. In line with the design adopted, the quantitative data obtained through a questionnaire was first collected and analysed. This was followed by the qualitative data obtained through semi structured interviews. The quantitative data were analysed using both descriptive statistical tools (such as frequency counts, percentages, mean, standard deviation, and average per item rating), and inferential statistical tools (independent samples t-test). Qualitative data used inductive content analysis. Among the findings, we found no statistically significant difference in the knowledge scores on differentiated instruction for general in-service teachers and special in-service teachers (t = -0.80, df = 48, p > 0.05). We, therefore, recommend teacher education institutions review their mathematics curriculum to reflect the use of differentiated instructional approaches among mathematics teachers.
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*Corresponding author: pkyeremeh@joscobechem.edu.gh
© 2022 The Author(s). This work is licensed under a Creative Common Attribution-NonCommercial 4.0 (CC-BY-NC)
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Journal of Research and Advances in Mathematics Education
Volume 7, Issue 2, April 2022, pp. 64-76
DOI: 10.23917/jramathedu.v7i2.16863
p-ISSN: 2503-3697, e-ISSN: 2541-2590
In-service mathematics teachers’ knowledge of differentiated
instruction
Patrick Kyeremeh1*, Nixon Saba Adzifome2, Emmanuel Kojo Amoah3
1 Department of Mathematics/I.C.T, St. Joseph’s College of Education, Bechem, Ghana
2 Department of Basic Education, University of Education, Winneba, Ghana
3 Department of Mathematics Education, University of Education, Winneba, Ghana
Citation: Kyeremeh, P., Adzifome, N. S, & Amoah, E. K. (2022). In-service mathematics teachers’ knowledge of differentiated
instruction. JRAMathEdu (Journal of Research and Advances in Mathematics Education), 7(2), 64-76.
https://doi.org/10.23917/jramathedu.v7i2.16863
ARTICLE HISTORY:
Received 25 December 2021
Revised 19 March 2022
Accepted 21 March 2022
Published 30 April 2022
KEYWORDS:
Differentiated instruction
Mathematics teachers’
Content
Process
Product
ABSTRACT
This study sought to investigate in-service mathematics teachers’
knowledge of differentiated instruction in junior high schools in Tano
South Municipality of Ghana. The study adopted an explanatory sequential
mixed method design. We employed a sample of 50 JHS mathematics
teachers comprising 41 general in-service teachers and 9 special in-service
teachers in the quantitative study through a proportionate stratified
sampling technique. In the qualitative phase, 6 JHS mathematics teachers
comprising 4 general in-service teachers and 2 special in-service teachers
were purposively selected and interviewed. In line with the design
adopted, the quantitative data obtained through a questionnaire was first
collected and analysed. This was followed by the qualitative data obtained
through semi-structured interviews. The quantitative data were analysed
using both descriptive statistical tools (such as frequency counts,
percentages, mean, standard deviation, and average per item rating), and
inferential statistical tools (independent samples t-test). Qualitative data
used inductive content analysis. Among the findings, we found no
statistically significant difference in the knowledge scores on
differentiated instruction for general in-service teachers and special in-
service teachers (t = -0.80, df = 48, p > 0.05). We, therefore, recommend
teacher education institutions review their mathematics curriculum to
reflect the use of differentiated instructional approaches among
mathematics teachers.
INTRODUCTION
Throughout the years, the Ghanaian Government has stressed inclusion in education by using
various policies such as the Accelerated Development Plan in 1951, the Education Act of 1961 and
the Inclusive Education Policy to facilitate discussions on how to include all learners irrespective of
one’s ability (MoE, 2015). This inclusive education policy acknowledges the diverse learning needs
of students, and requires all stakeholders in the sector of education to address these needs under the
universal design for learning (UDL) programme in a conducive learning environment (Kyeremeh,
Amoah & Sabtiwu, 2021). This policy seeks to realise the nation’s goal for creating the enabling
environment to address the varied educational needs of individuals within the country.
Differentiated instruction, therefore, provides a vehicle for attaining this goal (Ireh & Ibeneme,
2010).
Differentiated instruction, according to Tomlinson (2001, 2015), is a philosophy of teaching
that empowers teachers to meet the diverse needs of students in the classrooms by employing varied
instructional approaches. In the quest to differentiate instruction, teachers first need to recognize
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students’ relevant previous knowledge, their readiness, learning profile and interests, and tailor
instruction responsively. There are key elements that frame differentiated instructional practices in
education. Tomlinson (2001) identifes content, process, and products as the main elements of the
school curriculum that can be modified. It is hypothesized that teachers who are familiar with
students’ varied learning need such as readiness, learning profile and interests will be more likely to
differentiate them (Santangelo & Tomlinson, 2012). Tomlinson (2005b) explained content to be the
material being learned by a student. Content differentiation, therefore, requires teachers to adapt
their teaching to enable learners to access these materials. Process differentiation, according to
Tomlinson (2014), refers to the way in which students access the material. This presents
instructional activities in a way that validates students’ process of learning in the classroom. When
teachers differentiate the process, they teach the same concept or skill to each student; however, how
each student makes sense of the topic or skill can vary. Product refers to how a student shows what
he or she has learned (Tomlinson, 2005a). In differentiating product elements, students are allowed
to select their own way of showing mastery of the content taught (Richards-Usher, 2013; Watts-Taffe
et al., 2012). They argue that effective product differentiation offers learners clear and appropriate
criteria for success; focuses on real-world relevance and application; promotes creative and critical
thinking; and allows for varied modes of expression.
The new Ghanaian primary school mathematics curriculum emphasizes inclusion and sees
differentiation of instruction as one of the strategies to achieve the goal of ensuring that “all learners
have the best possible chance of learning” (National Council for Curriculum and Assessment (NaCCA),
2019: 16) and for scaffolding learners to gain a stronger understanding and greater independence in
the learning process. The document indicates that in a case where a learner fails to attain readiness
for the next phase of education “a compensatory provision through differentiation should be
provided to ensure that such a learner is ready to progress with his/her cohort” (p. 15).
Differentiation is thus defined in the new curriculum as:
“a process by which differences (learning styles, interest, and readiness to learn) between learners are
accommodated so that all learners in a group have the best possible chance of learning. Differentiation
could be by content, tasks, questions, outcome, groupings and support” (NaCCA, 2019, p. 16).
The documents, for the purpose of emphasis, further elucidate the different ways of implementing
differentiation. Differentiation by task-where the teacher sets different tasks for learners of different
abilities to attain the same academic goals, differentiation by support- where teachers refer learners
to the Guidance and Counselling Unit for academic support and differentiation by outcome, which
“involves the teacher allowing learners to respond at different levels. Weaker learners are allowed
more time for complicated tasks” (NaCCA, 2019, p. 16).
The success of differentiated instructional practices as an effective methodology for teachers
is established in the literature. Earlier studies (e.g., Subotnikl, Olszewski-Kubilius & Worrell, 2011;
Welsh, 2011) have established that differentiation of instructions supports all students learning,
however, there are few evidence in the literature that show teachers’ knowledge of differentiated
instruction. Joseph (2013) in his study among pre-service and in-service teachers in Trinidad
revealed similar findings. The findings indicated that most teachers showed a fair understanding of
the concept of differentiation. In Ghana, the situation might not be different as some studies have
revealed that teachers in our schools have a fair knowledge of differentiated instruction. Abora’s
(2015) study found that the majority of teachers had at least fair knowledge of major concepts and
practices of differentiation (even though they were not aware that those were concepts and practices
of Differentiated Instruction). Whipple (2012) in a study explored teachers’ understanding of
differentiated instruction and how they implement it at the elementary level through to the sixth
grade. From the findings, teachers put content in first place for understanding. Overall, teachers were
found to have possessed a high level of knowledge of differentiated instruction.
In Ohio, Schwarber (2006) in a study compared general education and special education
teachers’ knowledge, concerns, and confidence in adapting instructions to meet students with special
needs. A sample of 166 comprising 105 general education teachers, 29 special education teachers,
and 32 other educational professionals were recruited for the study. From the findings, it was
revealed that special education teachers had more knowledge and high self-efficacy in structuring
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teaching to meet the varied needs of individuals especially children with autism than their general
education teacher counterparts. Consistently, Cambell-Whatley, Obiakor and Algozzine (1995) in
their study found that special educators’ skill levels in differentiating instruction to meet students’
diverse needs were found to be higher than their general education counterparts irrespective of ones’
years of experience in the field of teaching. Usually, general education teachers do not take special
courses that focus on adapting instructions to meet the varying needs of students including those
with special educational needs. And so, they are usually overwhelmed when students with special
educational needs who should have been taught by special education teachers are placed in their
classrooms (Kyeremeh et al., 2021).
Contrary to the findings of this study, a mixed study conducted by James (2009) to investigate
teachers’ perceptions of differentiated instruction and its implementation in day-to-day teaching
within the classroom confirms the opposite. According to James (2009), the findings support the
premise that teachers have adequate knowledge of differentiated instruction. Consistent with
James’s (2009) findings is that of Abora (2015) which revealed primary school teachers possessed
adequate knowledge in differentiated instruction. Abora (2015) also conducted a mixed-method
research design to investigate Ghanaian primary school teachers’ knowledge and practice of
differentiated instruction. The findings of Abora indicated that primary school teachers possessed a
higher level of knowledge on the aspects of differentiation in general. However, there was variability
in terms of their level of knowledge. The process was rated the highest element followed by product
with content been the least. In contrast to these findings, Melesse (2015) indicated that the majority
of primary teachers have a low perception of differentiated instruction. Melesse conducted a
descriptive survey to assess primary school teachers’ perceptions, practices, and challenges
associated with the implementation of differentiated instruction. The findings from the study
revealed teachers’ low perception of differentiated instruction. Teachers attributed this low
perception to the lack of adequate training on how to employ differentiated instruction in the
classroom. This could be due to the fact that differentiated instruction was a new concept.
Zelalem, Melesse, and Seifu (2022) in their study examined teacher educators’ self-efficacy and
perceived practices of differentiated instruction in Ethiopian primary teacher education programs.
Their findings revealed that most of the teacher educators have not had any training in differentiated
instruction and therefore had low knowledge about differentiated instruction to be able to
implement it effectively. Mengistie (2020) also in a study explored primary school teachers’
knowledge, attitude, and practice of differentiated instruction in the Amhara Region. From the
findings, it was revealed that basic school teachers apparently had an adequate level of
understanding of differentiated instruction; however, they showed a lack of knowledge of specific
strategies that can be employed to manage students in mixed ability classrooms.
It is obvious from literature that how knowledgeable teachers are about differentiation and its
practice has ramifications for implementation and ultimately the impact on the learners. Hence,
further studies that add information to the weight of evidence on this subject are considered
worthwhile. In contemporary times, the diversity of students in classrooms is soaring. In view of this,
meeting the needs of individual students in a classroom has become one of the major challenges
(Melesse, 2015; Owusu, 2016). Teachers are always beset with the challenge on how to accommodate
students’ differences in the classroom in order to maximise their success. Alhassan and Abosi (2014)
assert that the Ghanaian educational system has not adequately addressed the learning needs of
students with learning difficulties in regular classrooms. Alhassan and Abosi’s attributed this
anomaly to teachers’ incompetence in adapting instruction to meet the learning demands of students.
Undeniably, it is implausible for teachers to effectively and efficiently implement
differentiation without an adequate understanding of differentiated instruction and the skills needed
to do so. This study brings to bear the extent to which in-service mathematics teachers understand
differentiated instruction and how that informed their practices of differentiated instruction in the
Ghanaian basic school classrooms as revealed in Kyeremeh et al. (2021) study.
Even though there are numerous studies of the concept of differentiated instruction and its use
among educators in Ghana (e.g., Abora, 2015; Kyeremeh et al., 2021; Owusu, 2016), there are very
few studies discussing JHS mathematics teachers’ knowledge of differentiated instruction. Moreover,
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it appears no study has been conducted in the Tano South Municipality highlighting teachers’
knowledge of this philosophy. There exists gap in literature concerning the in-service mathematics
teachers’ knowledge regarding differentiated instruction and how their experiences with the
approach influences instructional practices at the junior high school in Tano South Municipality. It is
against this backdrop that the study sought to investigate in-service mathematics teachers’
knowledge of differentiation of instruction in the junior high schools in Tano South Municipality.
As society evolves, the content and pedagogical knowledge of teachers ought to be changed to
be able to meet the demands of the 21st-century educational economy. Many countries including
Ghana are in the midst of educational reform with the heart of this reform revolving around changes
in the curriculum and teacher instructional behaviour through teacher education. Therefore,
investigating the knowledge level of mathematics teachers about differentiated instruction might
provide educational administrators and policymakers with some fair idea about the level of
mathematics teachers’ knowledge of differentiation, and how these could be utilised to the benefit of
all students in Ghanaian basic school classrooms. To this end, the findings of this study could help
inform Colleges of Education and Universities on the need to restructure their mathematics curricula
by giving peculiar attention to pedagogical content (such as Differentiated Instruction) so as to be
able to produce mathematics teachers who understand and are capable of employing multi-
directional approaches (such as differentiation) to effect the desired change. Also, this study
contributes to the scholarly community and mathematics education in Ghana as it adds to the body
of knowledge of differentiated instruction. Teachers’ knowledge in this phenomenon adds significantly
to the advancement of instructional practice in basic mathematics.
The purpose of this study was to investigate in-service mathematics teachers’ knowledge of
differentiated instruction at junior high schools in Tano South Municipality of Ghana. It sought to
answer the research question: What knowledge do in-service mathematics teachers at junior high
school have about differentiated instruction? In other to determine if there are differences in relation
to teacher type, the hypothesis below was tested:
HO: There is no statistically significant difference between general in-service teachers and special in-
service teachers in relation to their knowledge of differentiated instruction
HA: There is a statistically significant difference between general in-service teachers and special in-
service teachers in relation to their knowledge of differentiated instruction.
METHODS
Research design
The study employs the explanatory sequential mixed method design of the mixed-method
approach. Research design is an overall plan for gathering and analysing data including steps taken
to enhance both internal and external validity (Locke, Spirduso & Silverman, 2013). Pragmatism
undergirds mixed methods and allows the collection of both qualitative and quantitative data. In
sequential explanatory design, quantitative is dominant and collected first and analysed after which
qualitative data is collected and analysed to support or clarify the quantitative findings (Creswell &
Creswell, 2018). This study followed this procedure as data was first collected from the respondents
and analysed after which interviews were collected to support the quantitative findings.
Sample and sampling technique
The study was conducted in Tano South Municipality of Ghana among public junior high school
mathematics teachers and data was collected. We employed a proportionate stratified sampling
technique for the sampling of in-service mathematics teachers for the study. In the determination of
sample size for the study, we employed Cohen, Manion, and Morrison’s (2018) sample size
determination table with confidence level and interval of 99% and 3% respectively. As a result, a
sample size of 50 JHS mathematics teachers comprising 41 general teachers and 9 special education
teachers was sampled for the quantitative study. Proportionate stratified sampling, according to Avli
(2016), is used when the population is heterogeneous. This technique is considered advantageous as
the sample was more representative of the population than if taken from the population as a whole.
Based on the nature of the study, we considered the type of training teachers received at the
universities and colleges of education. We believe that mathematics teachers who were trained to
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instruct students with special educational needs might have more knowledge in adaptive
instructions than those who have been prepared to instruct in the general classroom.
In view of this, we grouped the JHS mathematics teachers within Tano South Municipality into
general in-service teachers and special in-service teachers with a population size of 48 and 10
respectively. These teachers were derived from 27 general schools and 2 special schools respectively.
Using the proportional allocation technique, the sample size of 50 is made proportional to the
number of elements present in each of the two strata. The proportional representation technique
which is meant to allocate a sample from the strata brought the sample size of JHS mathematics
teachers which comprises general educators and special educators to 41 and 9 respectively.
Following that, teacher participants with sample sizes of 41 and 9 were selected from among general
in-service teachers and special in-service teachers respectively through simple random sampling.
Teachers were assigned with numbers on pieces of paper. These numbers were folded up and
selected randomly without replacement. The general in-service teachers were teachers who had the
training to teach mathematics and thus studied mathematics as their major area while special in-
service teachers are those who were trained in special education but studied mathematics as a minor
area and thus teach mathematics at junior high schools in the Municipality.
In the qualitative phase, a segment of 6 in-service mathematics teachers comprising 4 general
in-service teachers and 2 special in-service teachers were drawn using the purposive sampling
technique. Researchers recommend at least six sources of evidence in a qualitative study (Yin, 2014).
The basis for using the purposive sampling technique was that we want to obtain rich and accurate
data from the respondents for the study. This corroborates Rossman and Rallis’s (2012) assertion
that researchers who employ purposive sampling have special knowledge about some selected
subjects who represent this population.
Demographic characteristics of respondents
The demographic characteristics of 50 participants (teachers) involving general in-service
teachers and special in-service teachers included class level, type of teacher, gender, highest
educational qualification, and range of years of teaching. Details of these are depicted in Table 1. The
analysis of data in Table 1 showed that out of the 50 respondents selected across all levels of JHS,
82% (41) were general in-service teachers whereas the remaining 18% (9) were special in-service
teachers. With regards to the highest educational qualification, it was observed that 53.7% (22) of
the general in-service teachers had a Diploma in Education while the remaining 46.3% (19) had
Bachelor’s Degree. No one holds Master’s Degree at that level. Among special in-service teachers, it
was discovered that 88.9% (8) of the special in-service teachers had Bachelor’s Degree while only
11.1% (1) hold Master’s Degree. Inferably, none of the respondents holds a Diploma in Education at
these levels. The reason is that colleges of education in Ghana, with the primary mandate for training
and supply of basic schools with professional teachers, do not offer special education programs as
done in the universities.
Data collection procedure
In gathering the required data for both the study, a self-administered close-ended
questionnaire with a 4-point Likert-type scale, and a semi-structured interview guide were used.
These instruments were adapted from the study by Whipple (2012) and Santangelo & Tomlinson
(2012) with a few additions to suit the study purpose. We considered the questionnaire an
appropriate instrument for the study due to the fact that it serves as a means of minimizing bias and
requires less time to administer. The in-depth interview also helped to solicit extensive and detailed
information that can be used to explain the in-service mathematics teachers’ knowledge of
differentiated instruction. The interviews were done through a face-to-face approach. The interview
guide included a series of questions, probes, and follow-up questions on key themes.
In determining the content validity of the questionnaire, drafts were given to two Professors
in Mathematics Education at the University of Education, Winneba for their expert judgement. The
questionnaire and the interview guide were pilot tested on 8 in-service teachers who teach
mathematics at the junior high schools in Tano South Municipality to determine their reliability.
Using the Cronbach Alpha, a reliability coefficient of a=0.74 was obtained on the questionnaire items.
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This indicates a good internal consistency in the scale (Taber, 2018). Also, in ensuring
trustworthiness of the qualitative data, we ensured that there was accurate reflection on the
interview by cross-checking with the participants regarding what had been experienced during the
interview. Again, we had a prolonged and concentrated engagement with the participants on phone
during the interview.
Prior to the early study, research authorization from the Tano South Municipal Directorate of
Ghana Education Service was sought to seek permission to carry out the study in the junior high
schools within the municipality. We then made a visit to the schools from which in-service
mathematics teachers were sampled to acquaint them with the study and address any concerns that
they could have concerning the study. We created a good rapport so as to have the confidence of the
participants to respond to the questionnaire without any fear. Afterward, we sought their consent
and fixed the date for the administration of the instruments. The questionnaires were retrieved after
5 days. The final visit to the school was made to solicit qualitative data through the interviews.
Data analysis
Primary quantitative data were collected using a closed-ended questionnaire measured on a
4-point Likert scale whereas qualitative data was garnered using a semi-structured interview guide.
We employed both descriptive (such as frequency, percentage, mean and standard deviation) and
inferential statistics (independent samples t-test) to analyse the quantitative data using SPSS version
23. In the inferential analysis, an independent t-test at a 0.05 level of significance was used to
compare means of knowledge about differentiation among general in-service mathematics teachers
and special in-service mathematics teachers. On the other hand, we used an inductive content
analysis procedure to analyse the qualitative data. From the study, interview responses obtained
were coded whereby similar patterns were categorised into themes.
FINDINGS
Findings from the quantitative phase of the study
Research Question: What knowledge do in-service mathematics teachers at junior high school have
about differentiated instruction in Tano South Municipality?
Participants’ average per item rating scores for the three major elements of differentiated
instruction that fall below 1.40 were considered to have low knowledge, those between the range of
1.40 to 1.60 as having average knowledge, and those above 1.60 as having high knowledge. Table 2
shows the results from the field. Overall, the process was rated the highest understood element of
differentiated instruction among the general in-service teachers and special in-service teachers. In
Table 2, the general in-service teachers’ process category yielded a mean and standard deviation of
7.44 and 0.78 respectively with an average per item rating of 1.86 whereas, the special in-service
teachers’ process category recorded a mean and standard deviation of 7.56 and 0.73 respectively
with an average per item rating of 1.89. For the process category to yield average per item rating of
1.86 and 1.89 implies that in-service teachers in their response to the questionnaire selected agree
or strongly agree on average, and put the process in first place for knowledge. This indicates that the
participants (general in-service teachers) had high knowledge in process differentiation.
The statistics of the questionnaire items measuring in-service teachers’ knowledge of
differentiated instruction in relation to the process element is presented in Table 3. Among the
general in-service teachers, Table 3 shows a mean range and standard deviation scores of 1.68 to
1.98 and 0.16 to 0.47 respectively with an average per item rating of 1.86. This implies that general
in-service mathemayics teachers at junior high schools have high knowledge in the process
differentiation. In the case of special in-service teachers, the responses attracted a mean range and
standard deviation of 1.67 to 2.00 and 0.00 to 0.50 respectively with an average per item rating of
1.89. This reveals that special in-service mathematics teachers at junior high schools had high
knowledge in differentiation of process.
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Table 1
Summary of demographic characteristics of respondents
General Education
Teacher
Special Education
Teacher
Variable
Category
f
%
f
%
Class Level Taught
JHS 1
14
34.1
4
44.4
JHS 2
12
29.3
3
33.3
JHS 3
15
36.6
2
22.2
Gender
Male
35
85.4
8
88.9
Female
6
14.6
1
11.1
Highest Educational
Qualification
Diploma
22
53.7
0
0
Bachelor’s Degree
19
46.3
8
88.9
Master’s Degree
0
0
1
11.1
Range of years
1-10 years
23
56.1
5
55.6
for teaching
11-20 years
15
36.6
4
44.4
21-30 years
3
7.3
0
0
Total
41
82
9
18
Key: f-Frequency, %-Percentage
Table 2
In-service mathematics teachers’ knowledge of differentiated instruction
in relation to the three major elements
Elements of Differentiation
General In-service Teachers
Special In-service Teachers
APIR
M
SD
APIR
M
SD
Content
1.50
5.98
0.99
1.56
6.22
0.67
Process
1.86
7.44
0.78
1.89
7.56
0.73
Product
1.49
7.44
1.72
1.58
7.89
1.90
Key: M=Mean, SD=Standard Deviation, APIR=Average Per Item Rating
Table 3
In-service mathematics teachers’ knowledge of process differentiation
General In-service Teachers
Special In-service Teachers
Process
Agree
Disagree
M
SD
Agree
Disagree
M
SD
f (%)
f (%)
f (%) f (%)
1. Teachers must
collaborate with
students about their
learning in classroom
40 (97.6)
1 (2.4)
1.98
0.16
9 (100)
0 (0)
2.00
0.00
2. Teachers must
assess each student’s
readiness level,
interest level, and
learning profile/style
in DI
28 (68.3)
13 (31.7)
1.68
0.47
6 (66.7)
3 (33.3)
1.67
0.50
3. Contents,
processes and
products must
constantly be
modified in
classroom
33 (80.5)
8 (19.5)
1.80
0.40
8 (88.9)
1 (11.1)
1.89
0.33
4. In DI, teachers
must show respect
for their learners’
commonalities and
differences
40 (97.6)
1 (2.4)
1.98
0.16
9 (100)
0 (0)
2.00
0.00
Key: fFrequency, %Percentage, MMean, SDStandard Deviation
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Table 4
In-service mathematics teachers’ knowledge of content differentiation
General In-service Teachers
Special In-service Teachers
Content
Agree
Disagree
M
SD
Agree
Disagree
M
SD
f (%)
f (%)
f (%)
f (%)
1. The curriculum
is based on major
concepts and
generalizations.
36 (87.8)
5 (12.2)
1.88
0.33
7 (77.8)
2
(22.2)
1.78
0.44
2. Teachers must use a
variety of materials
other than the standard
text.
7 (17.1)
34 (82.9)
1.17
0.38
2 (22.2)
7
(77.8)
1.22
0.44
3. In DI, it is mandatory
for teachers to clearly
articulate what they
want students to know,
understand and be able
to do.
15 (36.6)
26 (63.4)
1.37
0.49
4 (44.4)
5
(55.6)
1.44
0.53
4. Teachers must
provide a variety of
support mechanisms
(e.g., organizers, study
guides, study buddies)
in DI.
23 (56.1)
18 (43.9)
1.56
0.50
7 (77.8)
2
(22.2)
1.78
0.44
Key: fFrequency, %Percentage, MMean, SDStandard Deviation
Key: fFrequency, %Percentage, MMean, SDStandard Deviation
Table 5
In-service mathematics teachers’ knowledge of product differentiation
General In-service Teachers
Special In-service Teachers
Product
Agree
Disagree
M
SD
Agree
Disagree
M
SD
f (%)
f (%)
f (%)
f (%)
1. Every assignment
must offer students clear
and appropriate criteria
for success; focus on real-
world relevance and
application.
23 (56.1)
18(43.9)
1.56
0.50
5(55.6)
4 (44.4)
1.56
0.53
2. Using DI in the
classroom prepares
students to take
standardized tests
22 (53.7)
19(46.3)
1.39
0.51
5(55.6)
4 (44.4)
1.56
0.53
3. When teachers
differentiate instruction,
they don’t create unfair
workloads among
students
16 (39.0)
5 (61.0)
1.39
0.49
4(44.4)
5 (55.6)
1.44
0.53
4. DI prepares students to
compete in the real world
23 (56.1)
18(43.9)
1.56
0.50
6(66.7)
3 (33.3)
1.67
0.50
5. Teachers use whole
group instruction in
differentiation
16 (39.0)
25(61.0)
1.39
0.49
6(66.7)
3 (33.3)
1.67
0.50
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Table 6
Group statistics of in-service mathematics teachers’ knowledge of differentiated instruction
Type of teacher
N
Mean
Std. Deviation
Std. Error Mean
Teachers’ Knowledge
General in-service teacher
41
20.85
2.83
0.44
Special in-service teacher
9
21.45
2.45
0.82
Table 7
Independent samples t-test of in-service mathematics teachers’ knowledge of differentiated instruction
Levene’s Test
for Equality
of Variances
t-test for Equality of Means
F
Sig.
T
Df
Sig. (2-
tailed)
Mean
Diff.
Std.
Error
Diff.
95% Confidence
Interval of the
Difference
Lower
Upper
Knwl
Equal
variances
assumed
0.38
0.54
-.080
48
0.43
-0.60
1.02
-2.87
1.24
Key: Knwl = Knowledge
Increasingly, both general in-service and special in-service teachers seemed to have average
knowledge of content differentiation. From the statistical analysis, general and special in-service
teachers attracted an average per item rating of 1.50 and 1.56 in content respectively. Table 4
presents the statistics of the questionnaire items measuring in-service teachers’ knowledge about
differentiated instruction in relation to the content element. In Table 4 under the content category,
general in-service teachers’ scores yielded a mean range and standard deviation of 1.17 to 1.88 and
0.33 to 0.50 respectively with an average per item rating of 1.50. The implication is that general in-
service mathematics teachers at junior high schools have average knowledge of content
differentiation. In the same vein, special in-service teachers’ responses attracted a mean range and
standard deviation of 1.22 to 1.78 and 0.44 to 0.53 respectively with an average per item rating of
1.56. The indication is that, special in-service mathematics teachers at junior high schools have
average knowledge in the differentiation of content.
Both general in-service and special in-service teachers seemed to possess an average
knowledge of product differentiation. From the statistical analysis, general and special in-service
teachers attracted an average per item rating of 1.49 and 1.58 in product respectively. Table 5
presents the statistics of the questionnaire measuring in-service teachers’ knowledge of
differentiated instruction in relation to the product element. From Table 5 under the product
category, general in-service teachers’ scores yielded a mean range and standard deviation of 1.39 to
1.56 and 0.49 to 0.51 respectively with an average per item rating of 1.49. It, therefore, implies that
general in-service mathematics teachers at junior high schools have average knowledge in product
differentiation. Similarly, special in-service teachers’ responses to product differentiation attracted
a mean range and standard deviation of 1.44 to 1.67 and 0.50 to 0.53 respectively with an average
per item rating of 1.58. This showed that special in-service mathematics teachers at junior high
schools have average knowledge in product differentiation.
HO: There is no statistically significant difference between general in-service teachers and special in-
service teachers in relation to their knowledge of differentiated instruction
This hypothesis looked for a difference between two groups: general in-service teachers’
knowledge and special in-service teachers’ knowledge. Tables 6 and 7 illustrate variability between
the general in-service teachers’ knowledge and special in-service teachers’ knowledge in
differentiated instruction. From the observation of the group means in Table 6, it could be indicated
that special in-service teachers (M = 21.45, SD = 2.45) showed slightly higher knowledge of
differentiation than than their general in-service teacher counterparts (M = 20.85, SD = 2.83). An
independent samples t-test was conducted to examine whether there was a significant difference
between general and special education teachers in relation to their knowledge in differentiated
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instruction. The t-test results in Table 7 revealed no statistically significant difference between
general in-service teachers and special in-service teachers (t = -0.80, df = 48, p > 0.05). Special in-
service teachers reported slightly high knowledge of differentiation than their general in-service
teacher counterparts. Therefore, we fail to reject the null hypothesis and conclude that there was no
statistically significant difference between general and special in-service teachers in relation to their
knowledge of differentiated instruction.
Findings from the qualitative phase of the study
We present a qualitative account of respondents for the study. Six (6) individual interviews
were conducted on 4 general in-service teachers (G1, G2, G3 and G4) and 2 special in-service teachers
(S1 and S2). These interviews explored issues in the first phase of the study based on results obtained
after analysing the questionnaire data on in-service mathematics teachers’ knowledge about
differentiation. On the question ‘What is differentiated instruction?’, teachers exhibited fair
knowledge of the meaning of differentiated instruction. For example, G2 defined differentiated
instruction as (T: Tano. II: Individual Interview):
“[A kind of instruction that helps students to have a fair share in the learning process]” II with G2, T
S2 also said:
“Differentiated instruction is a way of structuring instruction to suit the individual student needs….” II with
S2, T
The findings corroborates the earlier findings obtained from the quantitative phase of the
study that general and special education teachers have fair knowledge of differentiated instruction.
The focus of differentiated instruction has to do with teachers ensuring that all students reach the
same instructional objective or goal with unique learning process. In simple terms, differentiated
instruction could be described as a process of adapting instruction to suit the needs of individual
students in the classroom.
In order for teachers to effectively tailor their instructions to cater for the varied learning needs
of individual students, they ought to first and foremost pre-assess students. In view of this,
paticipants were asked in the interview whether the pre-assessment of students during classroom
instructions forms part of the differentiated instruction principles. All respondents interviewed
indicated that teachers who employ differentiated instruction at all times assess students before the
introduction of a new concept/topic. This is captured in the excerpts below:
S2 noted that:
“Differentiated instruction requires teachers to pre-assess their students in order to know their readiness
level before beginning to teach new topic. It [pre-assessment] is very important.” II with S2, T
G3 also stated that:
“Yes, they [teachers] need to do that [pre-assess students]. As we all know, differentiated instruction should
help us [teachers] to address students’ needs; therefore, they should be assessed so that we may know their
readiness level.” II with G3, T
Moreover, we also asked respondents in what manner do their students learn best in the
classroom and how they did come to know? From the interview, it was revealed that students make
significant learning gains when instruction is designed to connect with students’ relevant previous
knowledge and also engage in active social classroom This is captured in the comments below:
G2: “The students that I handle in class learn best when I link-up new concept with concepts that they
already know. I came to this realisation in their response to questions that trigger such thinking.” II with
G2, T
S1: “What I know is that these students learn well when I make them active in class through group activities.
I notice their excitement through the smiles I see in their faces anytime they are given the opportunity to
interact with them about a learning.” II with S1 T
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DISCUSSION
Knowledge, according to Nonaka (2006), is a dynamic human process of justifying personal
beliefs towards truth which is normally gained through experience or education. In our
contemporary world today, the knowledge teachers possess still proves to be the most critical factor
in their effectiveness or otherwise in their professional endeavours. This is because, teaching has
historically been a profession in search of knowledge that could inform classroom practice. This
affirms the assertion that the extent of teachers’ knowledge of differentiated instruction is
consequential to its practice by them (Whipple, 2012). In effect, teachers who are in the best position
to differentiate instruction in their classrooms operate from strong and grown knowledge base
(Tomlinson, 2015). However, the practice of differentiated instruction requires deep knowledge of
its process, theoretical framework, and ways through which the theory is translated into action. It is
in relation to these underpinnings that the JHS mathematics teachers’ knowledge and practice of
differentiated instruction was deemed necessary and explored.
Tomlinson (2001) identified content, process and product as three main elements of
differentiation. In-service mathematics teachers comprising general and special teachers took part
in this study that explored their knowledge regarding the 3 components. The findings showed that
general in-service teachers had a high level of knowledge of differentiated instruction with content
differentiation (M = 5.98, SD = 0.99, APIR = 1.50), process differentiation (M = 7.44, SD = 0.78, APIR =
1.86), and product differentiation (M = 7.44, SD = 1.72, APIR = 1.49). From the general in-service
teachers’ responses, it could be concluded that the participants on the average have high knowledge
in differentiated instruction. This indicates that general in-service mathematics teachers at junior
high schools in Tano South Municipality are knowledgeable in the differentiation of instruction. This
is inconsistent with what Mengistie (2020) study findings revealed that basic school teachers
apparently had adequate level of understanding of differentiated instruction; however, they showed
lack knowledge of specific strategies that can be employed to manage students in mixed ability
classrooms.
The findings from the study also revealed that special in-service mathematics teachers had a
high level of knowledge in differentiated instruction with content differentiation (M = 6.22, SD = 0.67,
APIR = 1.56), process differentiation (M = 7.56, SD = 0.73, APIR = 1.89), and product differentiation
(M = 7.89, SD = 1.90, APIR = 1.58). From the qualitative data analysed on special education teachers’
responses, it could be stated that respondents on average had some fair knowledge in differentiated
instruction. The indication is that special in-service mathematics teachers at junior high schools are
knowledgeable in the differentiation of instruction. This is affirmed by the definitions some of the
respondents gave to differentiated instruction when they were asked in an interview: “Differentiated
instruction is a way of structuring instruction to suit the individual student needs.” Tomlinson and
Moon (2013) similarly noted differentiated instruction to be an approach to instruction that
systematically takes student differences into account in designing opportunities for each student to
maximise learning.
In comparison, it could be mentioned that there was no statistically significant difference in the
knowledge of differentiation among the two groups of mathematics teachers. This is consistent with
the findings of Whipple (2012) which revealed special in-service teachers possess high knowledge
in differentiation than general in-service teachers. This disparity may be as a result of the kind of
training special educators received from universities which may provide them knowledge in
instructional adaptation to meet diversity of students’ needs in the classroom as compared to that of
general education teachers. This corroborates what Zelalem, Melesse and Seifu (2022) study’s
findings revealed that most of the teacher educators have not had any training on differentiated
instruction, and therefore had low knowledge about differentiated instruction to be able to
implement it effectively. In addition, special education teachers typically have students with varied
abilities and disabilities thereby compelling them to differentiate instruction quite often. As a result,
their hands-on experience could be a factor in the results of the data.
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CONCLUSIONS
Based on the study results, we concluded that in-service teachers who teach mathematics at
junior high schools in Tano South Municipality on average possess high knowledge of differentiated
instruction. There was no statistically significant difference in the knowledge about differentiation
among the two groups of mathematics teachers. This means that our teacher education institutions
need to expose prospective teachers to more differentiation strategies through professional
development programmes. In the quest to achieve this feat, we recommend that teacher education
institutions review their mathematics curriculum in a way that ensures prospective teachers
maximum exploration of differentiated instructional approaches to teaching at basic levels of our
education system.
As the diversities among students in the classroom increase, teachers’ failure to understand
these diversities and how to respond to them in classroom may have a lasting impact on the successes
of students in mathematics education (Richards-Usher, 2013). In view of this, the direction for future
research may look at the situation at different settings including private institutions since this study
focused on in-service mathematics teachers at the public basic school system.
ACKNOWLEDGMENT
The researchers would like to extend their profound gratitude to all in-service teachers who
teach mathematics in junior high schools in Tano South Municipality for their participation in this
research work.
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