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Level of Practices and Challenges of Metacognitive Strategies in Physics Teaching at Secondary Schools: The Case of Bako and Tibe Secondary Schools, Western Shewa Zone of Oromia Regional State, Ethiopia

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Abstract (2. Language): 
Metacognition is thinking about thinking. It is the primary vehicle for student learning. Thus, this study aimed at examining teachers’ level of metacognitive knowledge, practices of metacognitive teaching and challenges of implementing metacognitive strategies in classrooms. It considered students (grades 9 and 10), physics teachers and principals of Bako and Tibe secondary schools in the academic year of 2010/2011. Using probability proportional to size, 213 and 134 students were selected from grades 9 and 10 respectively. The total sample size was 368 (347 students, 8 principals and 13 teachers). The study was survey type guided by three research questions which were answered using the data collected through questionnaire, interview and classroom observation checklist. Cronbach’s alpha, percentage analysis, Mann-Whitney U test and ANOVA tests were used in data analysis. The result showed that teachers’ knowledge of cognition and level of metacognitive teaching were low or absent. The study also indicated that low level of teachers’ knowledge of cognition, students’ lack of metacognitive learning experiences before and the case that metacognitve strategies take large amount of time were appeared to be the main challenges of metacognitive teaching in those schools. Hence, this study suggested that teachers need professional development opportunities on metacognitive strategies.
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REFERENCES

References: 

Akker, J. & Voogt, J. (1994). The use of innovation and practice profile in the evaluation of
curriculum implementation. Studies in Education Evaluation. 20(1): 503-512.
Bransford, D., Brown, A.L. & Cocking, R.R. (1999). How People Learn: Brain, Mind, Experience,
and School. Committee on Developments in the Science of Learning. Washington, DC:
National Academy Press.
Brown, A.L. (1987). Metacognition, Executive Control, Self-regulation and other more Mysterious
Mechanisms. pp. 65-116. In F. E. Weinert and R. H. Kluwe (eds.). Metacognition, Motivation,
and Understanding. Lawrence Erlbaum Associates, Hillsdale, New Jersey.
Chi, M.T., Bassok, H.M., Lewis, M.W., Reinmann, P. & Glaser, R. (1989). Self explanations: How
students study and use examples in learning to solve problems. Cognitive Science 13: 145–182.
Fischer & Horstendahl, 1997. Instructional congruence to Improve Malaysian Students’ Attitudes
and Interests towards Science in Low Performing Secondary Schools. Penang Malaysia.
Middle Eastern & African Journal of Educational Research, Issue 18
Year 2015
21
Flavell, J.H. (1976). Metacognitive aspects of problem solving. pp.231-236. In L. B. Resnick (eds.).
The nature of intelligence. Hillsdale, NJ: Erlbaum.
Hartman, H. J. (2001a). Developing students’ metacognitive knowledge and strategies. pp. 33–
68. In H. J.Hartman (eds.). Metacognition in Learning and Instruction: Theory, Research, and
Practice. Kluwer Academic Publishers, Dordrecht, The Netherlands.
Kramarski, B., Mevarech, Z. R. and Arami, M. (2004). The effects of metacognitive instruction on
solving mathematical authentic tasks. Educational Studies in Mathematics 49:225-250.
Lin, X. D. (2001). Designing metacognitive activities. Educational Technology Research and
Development 49(2): 23–40.
Marzano, R. J. (1998). A theory-based meta-analysis of research on instruction. Aurora,
CO:Mid-Continental Regional Educational Laboratory.
O'Malley, J. M., Chamot, A. U., Stewner-Mazanares, G., Russo, R. and Kupper, L. (1985).
Learning strategies applications with students of English as a second language. TESOL
Quarterly, 19, 285-296.
Ormrod, J.E. (2006). Educational Psychology: Developing Learners. Upper Saddle River, NJ: Pearson
Education, Inc.
Schraw, G. and Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary
Educational Psychology. 19, 460-475.
Sternberg, R. J. (1998). Metacognition, abilities, and developing expertise: What makes an expert
student? Instructional Science. 26: 127-140
White, B. and Frederiksen, J. R. (1998). Inquiry, modeling, and metacognition: Making science
accessible to all students. Cognition and Instruction. 16(1): 3–118.
White, B. Y., Shimoda, T. A. and Frederiksen, J. R. (1999). Enabling students to construct theories
of collaborative inquiry and reflective learning: Computer support for metacognitive
development. International Journal of Artificial Intelligence in Education. 10: 151–182.

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