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Why is private tutoring effective? Insights from research on one-to-one tutoring

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Abstract

Private tutoring is an effective means to improving students' academic achievement. This article gives an overview of different explanations for tutoring effectiveness showing that tutors' pedagogical moves, students' learning activities and the interaction between tutor and student are all important factors in explaining the effectiveness of tutoring. For tutoring to be beneficial, students' meaningful learning activities, however, seem to be of particular relevance, irrespective of whether they are initiated by themselves or by the teacher. Shortcomings of previous research and desiderata for future research are presented. Practical implications are discussed.

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... The second, and by far more popular, category of research addresses the effectiveness of private tutoring (Deke et al., 2014;Ha & Park, 2017;Hof, 2014;Ireson, 2004;Kim, 2015;Luplow & Schneider, 2014;Popov et al., 2002;Prakhov, 2017;Wittwer, 2008Wittwer, , 2014Zhan et al., 2013;. One of the most frequently asked questions in these studies is whether tutoring actually helps students improve their academic performance, get higher test scores, and enrol in desired institutions. ...
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This dissertation aims to provide a genealogy of the relations between the public and the private in education. It does so by the exploring how public education and private tutoring form and transform each other and why they are seen as legitimate or problematic in different historical and cultural contexts. Drawing on curriculum theory and Foucault’s genealogical approach to history, the study examines how private tutoring has been problematised in Imperial, Soviet and post-Soviet Russia and discusses how these problematisations reflect and shape the dominant visions of education. The results show that norms and values in relation to which private education has been problematised and addressed in Russia have varied in line with nationalist, communist and neoliberal visions of education. Although most questions, such as tutor competence, individual privilege, inequality, ethics, governance, and ideological conformity, have constantly been in the focus of critical reflection, they were ‘answered’ differently in different historical periods. Others, such as spatial inequality and ethical concern for corrupt tutoring practices, are of more recent origin. In contrast to previous research into shadow education, the study argues that the mimicking character of supplementary tutoring is not its natural feature. Rather, in the Russian case, it is the result of constant problematisation and the corresponding regulation of its conformity with what is regarded as ‘sacred’ national values. In general, private tutoring in Russia has often been treated as a ‘symptom’ of other educational and societal problems, and addressed indirectly, through reforms in public education. Paradoxically, in fighting against undesirable effects of private tutoring, Russian schools had to adopt some of the traits commonly associated with just that industry, namely individualisation, exam drills, and the promotion of private and positional good. Conversely, changes in the structure, content, pedagogy, or assessment procedures in the mainstream system have provoked considerable changes in tutoring practices, which, however, are not limited to imitation and supplementation. The study concludes that this symbiotic relationship cannot be reduced to imitation, reproduction, or supplementation. Rather, it changes like shifting shadows reflecting and ultimately shaping the dominant perceptions of what education is and ought to be.
Article
PurposeThe chapter examines the attendance, cost, structure and nature of demand for supplementary education in Germany. Design/methodology/approachThis chapter reviews a variety of secondary sources. FindingsBetween 20 and 30 percent of German students use “Nachhilfe” (supplementary education). This chapter argues that a complex combination of perceptions of poor school quality and parents’ fears push German students and their parents into the supplementary education sector. It also finds that Nachhilfe providers have very effectively altered the nature of their services in light of these demands. Originality/valueThis chapter articulates the underlying “push” and “pull” factors that shape the nature and popularity of supplementary education in Germany.
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Human one-to-one tutoring has been shown to be a very effective form of instruction. Three contrasting hypotheses, a tutor-centered one, a student-centered one, and an interactive one could all potentially explain the effectiveness of tutoring. To test these hypotheses, analyses focused not only on the effectiveness of the tutors' moves, but also on the effectiveness of the students' construction on learning, as well as their interaction. The interaction hypothesis is further tested in the second study by manipulating the kind of tutoring tactics tutors were permitted to use. In order to promote a more interactive style of dialogue, rather than a didactic style, tutors were suppressed from giving explanations and feedback. Instead, tutors were encouraged to prompt the students. Surprisingly, students learned just as effectively even when tutors were suppressed from giving explanations and feedback. Their learning in the interactive style of tutoring is attributed to construction from deeper and a greater amount of scaffolding episodes, as well as their greater effort to take control of their own learning by reading more. What they learned from reading was limited, however, by their reading abilities.
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Developers of intelligent tutoring systems would like to know what human tutors do and which activities are responsible for their success in tutoring. We address these questions by comparing episodes where tutoring does and does not cause learning. Approximately 125 hr of tutorial dialog between expert human tutors and physics students are analyzed to see what features of the dialog are associated with learning. Successful learning appears to require that the student reach an impasse. When students were not at an impasse, learning was uncommon regardless of the tutorial explanations employed. On the other hand, once students were at an impasse, tutorial explanations were sometimes associated with learning. Moreover, for different types of knowledge, different types of tutorial explanations were associated with learning different types of knowledge.
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Research examining differences between expert and novice teachers is reviewed through the lens of cognition to outline and establish how features of the classroom are mentally represented. Studies are reviewed under Shulman's (1986b) framework characterizing knowledge bases necessary for teacher effectiveness, including content knowledge, pedagogical content knowledge, and general pedagogical knowledge. Inferences are made as to how teachers, varying in experience level, represent classroom events including curriculum planning, instruction, management, and communication. Implications for teacher education and professional development programs are discussed.
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One-on-one tutoring is a particularly effective mode of instruction, and we have studied the behavior of expert tutors in such a setting. A tactic commonly used by our expert tutors is hinting, that is, the prompting of a student to recollect information presumed to be known to him or her, or the prompting of a student to make an inference needed to solve a problem or answer a question, or both. Hints may directly convey information or may point to information the student already possesses. Another tactic prompts the student in a step-by-step manner (in a directed line of reasoning) to an answer. Our tutors generated 315 hints and directed lines of reasoning in 30 hr of tutoring. The surface structure of hints is complex and varied, reflecting, in part, the fact that the utterances making up hints often serve multiple functions. Hinting is triggered by student errors but ceases when it appears that the student is unable to respond appropriately. Hints encourage the student to engage in active cognitive processes that are thought to promote deeper understanding and long-term retention. It is our intention to apply our knowledge of tutorial dialogue generation to the building of an intelligent tutoring system (ITS).
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Students learn more and gain greater understanding from one-to-one tutoring. The preferred explanation has been that the tutors' pedagogical skills are responsible for the learning gains. Pedagogical skills involve skillful execution of tactics, such as giving explanations and feedback, or selecting the appropriate problems or questions to ask the students. Skillful execution of these pedagogical skills requires that they are adaptive and tailored to the individual students' understanding. To be adaptive, the tutors must be able to monitor students' understanding accurately, so that they know how and when to deliver the explanations, feedback, and questions. Before ex-ploring whether in fact tutoring effectiveness can be attributed to tutors' pedagogical skills, we must first ascertain the accuracy with which tutors monitor their students' understanding. This article thus investigated monitoring accuracy from both the tu-tors' and the students' perspectives. By coding and recoding some data collected in a previous study, the article shows that tutors could only assess students' normative un-derstanding from the perspective of the tutors' knowledge, but tutors were dismal at diagnosing the students' alternative understanding from the perspective of the stu-dents' knowledge. Human one-to-one tutoring has been shown to be a very effective form of instruc-tion. The average student in a tutoring situation achieved a performance gain rang-ing from 0.4 to 2.3 SD above the average student in a traditional transmis-sion-based classroom (Bloom, 1984; Cohen, Kulik, & Kulik, 1982). A meta-analysis of around 100 studies showed that in educational settings, everyday tutors are often peers and other paraprofessionals with little experience in tutoring (Cohen et al., 1982), although they are almost always knowledgeable about the COGNITION AND INSTRUCTION, 22(3), 363–387 Copyright © 2004, Lawrence Erlbaum Associates, Inc.
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It is often assumed that engaging in a one-on-one dialogue with a tutor is more effective than listening to a lecture or reading a text. Although earlier experiments have not always supported this hypothesis, this may be due in part to allowing the tutors to cover different content than the noninteractive instruction. In 7 experiments, we tested the interaction hypothesis under the constraint that (a) all students covered the same content during instruction, (b) the task domain was qualitative physics, (c) the instruction was in natural language as opposed to mathematical or other formal languages, and (d) the instruction conformed with a widely observed pattern in human tutoring: Graesser, Person, and Magliano's 5-step frame. In the experiments, we compared 2 kinds of human tutoring (spoken and computer mediated) with 2 kinds of natural-language-based computer tutoring (Why2-Atlas and Why2-AutoTutor) and 3 control conditions that involved studying texts. The results depended on whether the students' preparation matched the content of the instruction. When novices (students who had not taken college physics) studied content that was written for intermediates (students who had taken college physics), then tutorial dialogue was reliably more beneficial than less interactive instruction, with large effect sizes. When novices studied material written for novices or intermediates studied material written for intermediates, then tutorial dialogue was not reliably more effective than the text-based control conditions.
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According to the theories of educational choice, private tutoring contributes to an increase in educational inequality. On the basis of data presented by the Socio-Economic Panel (SOEP), it can be shown that every fourth adolescent has had recourse to private tutoring at least once during his or her educational career. In West Germany, private tutoring is used to realize higher educational aims; this is not true for East Germany, where no corresponding tradition of private tutoring exists. Furthermore, the parents' financial situation decides to a great extent whether private tutoring is being sought or not.
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Although one-to-one tutoring has been regarded as the most effective method of teaching (Bloom, 1984), surprisingly little is understood about tutoring expertise. Much educational research focuses on classroom teaching, whereas the few studies that focus on one-to-one tutoring do not offer a precise information-processing account of this skill. This article describes our initial attempts to study one-to-one tutoring. The goal of our research is to construct a detailed cognitive model of the reasoning and knowledge of an expert human tutor. The method we have employed is a variant of knowledge engineering. We videotaped tutoring sessions with expert teachers, subjecting them to a detailed analysis aimed at abstracting the tutor's knowledge structures. In this article, we describe some important tutoring techniques we have isolated using these methods. We discuss several dimensions along which tutors appear to be intelligent planners and problem solvers. Finally, we note several implications of our research, including its potential impact on the construction of intelligent computer-based tutoring systems.
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Three experiments, presented within the framework of Activity Theory, deal with the relationship between adult learners' questions and subsequent comprehension in a tutorial learning setting. Students were first given verbal instructions (acquisition) to a novel card game and then asked to play one hand with the teacher (implementation). In Experiment 1, there was no correlation between number of questions asked during acquisition and comprehension, but questions during implementation were negatively correlated with comprehension. In Experiment 2, learners whose questions were answered during acquisition scored higher than those whose questions were not answered. In Experiment 3, learners whose questions were answered during implementation showed greater gains in comprehension than those whose questions were answered during acquisition. Individual differences in question-asking during implementation but not acquisition were significantly related to comprehension. The results confirm the view that questions answered during knowledge implementation more effectively aid comprehension than those answered during acquisition. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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The focus of the paper is on important theoretical perspectives on collaborative knowledge construction: The socio-genetical perspective, the cognitive perspective of information processing, the socio-cultural and situated perspectives, the perspective of argumentative discourse, and the perspective of collective information processing. Each perspective is described with respect to its basic idea, main research questions, theoretical aspects of collaborative knowledge construction in discourse, and methodology typically applied. On this background, conclusions for theory building and empirical research are draw. Der Fokus dieser Arbeit liegt auf wichtigen theoretischen Perspektiven zur gemeinsamen Wissenskonstruktion: Die soziogenetische Perspektive, die kognitive Perspektive der Informationsverarbeitung, soziokulturelle und situierte Perspektiven, die Perspektive des argumentativen Diskurses sowie die Perspektive der kollektiven Informationsverarbeitung. Die einzelnen Perspektiven werden anhand ihrer Grundidee und zentraler Fragestellungen, theoretischer Aspekte zur gemeinsamen Wissenskonstruktion im Diskurs sowie der typischerweise verwendeten Methodologien beschrieben. Vor diesem Hintergrund werden Konsequenzen für die Theoriebildung und empirische Forschung gezogen.
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To give effective and efficient advice to laypersons, experts should adapt their explanations to the layperson's knowledge. However, experts often fail to consider the limited domain knowledge of laypersons. To support adaptation in asynchronous helpdesk communication, researchers provided computer experts with information about a layperson's knowledge. A dialogue experiment (N = 80 dyads of experts and laypersons) was conducted that varied the displayed information. Rather than sensitizing the experts to generally improve the intelligibility of their explanations, the individuating information about the layperson enabled them to make specific partner adjustments that increased the effectiveness and efficiency of the communication. The results are suggestive of ways in which the provision of instructional explanations could be enhanced in Internet-based communication.