Can We Measure the Comparative Effects on Learning of the Student-Centered and Teacher-Centered Pedagogical Practices: Preliminary Results of a Meta-Analysis
Conference:
ECER 2015
Format:
Paper

Session Information

WERA SES 09 C, International Trends on Motivation for Academic Performance

Paper Session

Time:
2015-09-10
11:00-12:30
Room:
305. [Main]
Chair:
Bee Leng Chua

Contribution

Objectives

This paper presents preliminary results of a meta-analysis that addresses classroom teaching and learning conditions operationalized as various mixtures of so-called student-centered (SC) and teacher-centered (TC) instructional approaches. We introduce a conceptual framework that departs from the oversimplified SC vs. TC dichotomization of teaching practices. Instead, we intend to account for specific combinations of SC and TC qualities of instructional events that would allow for a balanced description of any particular teaching practice and explain its effects on learning. Our results will provide a better picture of the effectiveness of the various combinations of TC and SC instructional practices used in classrooms from elementary school to post-secondary education. We pose the following research questions:

Can SC approaches to instruction be operationally distinguished from TC approaches, and their effects on student achievements be systematically assessed and explained?

What combinations of TC and SC qualities of instructional practices influence learning outcomes the most and what contextual factors moderate these effects? 

Background

An ongoing debate in the education community continues to contrast SC and TC educational practices. This dichotomy, often presented in terms of inductive versus deductive education (Prince & Felder, 2006), largely derives from the growth of pedagogical progressivism and constructivism (e.g., Vygotsky, 1978; Jonassen, 1991; Tobias & Duffy, 2009) and in a sense challenges more traditional TC paradigm that long dominated typical classroom teaching.

In TC environments, the teacher set the objectives, planned lessons, taught students through direct instructional methods, allocated readings, provided guidance, evaluated student progress and assigned grades. In 1964, a massive experiment called Project Follow Through evaluated the efficacy of different instructional strategies (from Direct Instruction to so-called Open Education), especially in mathematics and reading. Among the project major findings was that students learning via direct instruction outperformed students in other instructional conditions by nearly 1.5sd. Despite some criticism regarding the conduct of the project, these findings continue to influence present-day educational practices in the fields of mathematics, science and language (e.g., Klahr, 2009).

Pedagogical ideas associated with the constructivist paradigm suggested new instructional design principles to reduce teacher dominance in TC instruction, namely: 1) create real-world environments that employ the context in which learning is relevant; 2) focus on realistic approaches to solving real-world problems with the instructor acting as a coach and analyzer of the strategies used to solve these problems; 3) stress conceptual interrelatedness, providing multiple representations or perspectives on the content; 4) define instructional goals and objectives as negotiated and not imposed; 5) design evaluations that serve as a self-analysis tool; 6) provide tools and environments that help students interpret multiple perspectives upon the world; 7) favor learning that is internally controlled and mediated by the student (Jonassen, 1991, pp. 11-12). These principles are in part related to the “instructional dimensions” that will be examined here, as are some other recent conceptualizations of SC instruction (e.g., Johnson, 2014).

In contrast with the Project Follow Through results, some later meta-analyses (e.g., Rosen & Solomon, 2007) suggested an advantage for SC instruction (i.e., constructivist pedagogy) over TC instruction (i.e., didactic pedagogy) of up to 0.50sd. Such a large discrepancy between findings for SC and TC instruction suggests that questions of their relative effectiveness are still unsettled. 

Method

Metod: Conceptual Framework In this study we attempted to get away from an artificial dichotomization of instructional practices. In spite of the considerable research and conceptual literature on both sides of the SC/TC question, the fact remains that practically no classroom is all of one and none of the other (e.g., Gersten et al., 2008). Unlike previous research, this systematic review aimed to describe instruction practices as combinations of TC and SC qualities. The purpose is not to pit one paradigm against the other, but instead to find their combinations that maximize learning outcomes. We developed a set of instructional dimensions that can be coded on a scale ranging from predominantly TC to predominantly SC reflecting the amount of choice of control over particular instructional events released from teacher to students. These dimensions are: • Course design • Learning objectives • Study materials • Pacing of instruction • Material adaptation • Anchored instruction • Problem type • Conceptual level • Teacher’s role • Peer collaboration • Peer assessment Metod: Meta-Analysis Our primary method of inquiry is meta-analysis. Systematic searches were conducted in over a dozen bibliographic databases, through branching and manual review of tables of context of major journals and conference proceedings in the field of education, etc. to target both published and unpublished documents. Key terms used were adjusted to account for varying terminology across fields and sources. Studies retained for analyses must have met the following inclusion criteria: • Represent formal educational settings; • Be of true or quasi-experimental design; • Contain at least two groups exposed to different instructional interventions; • Contain sufficient description of instructional dimensions; • Contain measures of achievement/skills development; • Contain sufficient statistical information for effect size extraction. Comparison of instructional conditions in each study was made on eleven instructional dimensions outlined above. The group that on balance was higher in SC qualities (regardless in what particular combinations and not necessarily on all dimensions) was designated the treatment condition, and the other group served as a control. Specific combinations of instructional events (coded on a 5-point scale) were documented for each group, alongside with methodological, contextual, and demographic study features. Relevant d-type effect sizes (i.e., standardized mean difference between treatment and control conditions) were calculated for independent comparisons, weighted, aggregated, and analyzed according to the standard meta-analytical procedures (e.g., Borenstein, Hedges, Higgins, & Rothstein, 2009; Hedges and Olkin, 1985).

Expected Outcomes

Preliminary Results All review stages were conducted by two reviewers working independently. Inter-coder reliability rates (Cohen's kappa) ranged from κ = 0.74 to κ = 0.89. As of the time of submission 620 independent effects were extracted from over 500 primary research studies. After publication bias and sensitivity analyses and treatment of outliers, 615 achievement effects were aggregated using the random effects model that produced g+ = 0.34 (p < 0.01). Fixed effect model revealed significant heterogeneity (QT = 3540.83, p < 0.01), suggesting that a large degree of between-study variance required further exploration. Subsequently, mixed model moderator variable analyses were performed on degree of difference between conditions and on individual dimensions. In brief, they indicated the following. Magnitude of the effects tends to grow with increase in number of dimensions coded in favor of SC instructional qualities, but to a point and then drops substantially. Not all dimensions equally well distinguish between SC and TC instructional strategies. Among dimensions that produced higher effect sizes were: peer collaboration and assessment, anchored instruction, problem type, and conceptual level. Results in more detail are to be reported in the presentation. Research and Scholarly Significance These are just preliminary results as our meta-analysis proceeds further with expected total number of effects in the ballpark of 1100. Nevertheless, its conception and execution departs significantly from any previous study of SC and TC classroom practices. It begins with the premise that real-life classrooms are complex mixtures of TC and SC and that identifying the most promising combinations, in terms of how these combinations promote achievement and affective outcomes, will help educators make more productive use of classroom resources, and provide students with “the best of both worlds.”

References

Selected References Borenstein, M., Hedges, L., Higgins, J., Rothstein, H. (2005). Comprehensive Meta-analysis Version 2.2.057, Biostat, Englewood NJ. Gersten, R., Chard, D., Jayanthi, M., Baker, S., Morphy, P., & Flojo, J. (2008). Mathematics instruction for students with learning disabilities or difficulty learning mathematics: A synthesis of the intervention research. Portsmouth, NH: RMC Research Corporation, Center on Instruction. Johnson, A.P. (2014). Education Psychology: Theories of Learninh and Human Development. National Science Press. Jonassen, D. H. (1991). Evaluating constructivist learning. Educational Technology, 31, 28-33. Kirschner, P.A., Sweller, J., & Clark, R.E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41, 75-86. Klahr, D. (2009) “To every thing there is a season, and a time to every purpose under the heavens”: What about direct Instruction? In S. Tobias and T. M. Duffy (Eds.) Constructivist Theory Applied to Instruction: Success or Failure? (pp. 291-310). New York, NY: Routledge. National Mathematics Advisory Panel (2008). Foundations for Success: The Final Report of the National Mathematics Advisory Panel. Washington, DC: U.S. Department of Education. Prince, M.J., & Felder, R. M. (2006). Inductive teaching and learning methods: Definitions, comparisons, and research methods. Journal of Engineering Education, 95, 123-138. Rosen, Y., & Salomon, G. (2007). The differential learning achievements of constructivist technology-intensive learning environments as compared with traditional ones: A meta-analysis. Journal of Educational Computing Research, 36, 1-14. Tobias, S., & Duffy, T. M. (Eds.) (2009). Constructivist instruction: Success or failure. Routledge: New York, NY. Vygotsky, L. S. (1978). Mind in society. Cambridge, MA: Harvard University Press.

Author Information

Eugene Borokhovski (presenting / submitting)
Concordia University
Centre for the Study of Learning and Performance (CSLP)
Montreal
Robert M. Bernard (presenting)
Concordia University, Montreal, Canada
Concordia University, Montreal, Canada
Concordia University, Montreal, Canada
Zayed University
College of Education
Dubai

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