EN
Pre-Service Teachers’ Cognitive and Metacognitive Processes in Integrated STEM Modeling Activity
Abstract
This study was conducted during two educational technology courses in spring term of 2016-2017 academic years. The participants of the study were pre-service teachers who were in mathematics teaching program in a university located at the west part of Turkey. Pre-service teachers were asked to solve a complex problem that requires mathematical model eliciting activities and report their solution. While pre-service teachers were solving the problem and writing their report, they were audio recorded. Additionally, their solutions and reports for problem were collected as data sources. All three various data sources used for triangulation to make the data collection process more reliable. The problem-solving behavior from the study conducted by Kim et al. (2013) was used as the theoretical framework. First, the behavior is classified as cognitive or metacognitive. Then the behavior (either cognitive or metacognitive) is also classified as at individual, social, or environmental levels. Additionally, Lesh Translation Model was used to decide the representations of mathematical content knowledge codes for metacognitive activities. The implications of this study are the developed metacognitive activities for pre-service teachers. Additionally, there is potential usage of technology for the role of metacognition in mathematics education.
Keywords
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References
- Ang, K. C. (2015). Mathematical modelling in Singapore schools: A framework for instruction. In N. H. Lee & D. K. E. Ng (Eds.), Mathematical modelling: From theory to practice (pp. 57-72). Singapore: National Institute of Education.
- Artzt, A. F., & Armour-Thomas, E. (1992). Development of a cognitive-metacognitive framework for protocol analysis of mathematical problem solving in small groups. Cognition and Instruction, 9(2), 137-175. doi:10.1207/s1532690xci0902_3
- Azevedo, R. (2005). Computer environments as metacognitive tools for enhancing learning. Educational Psychologist, 40(4), 193–197. Bal, A. P., & Doğanay, A. (2014). Improving primary school prospective teachers’ understanding of the mathematics modeling process. Educational Sciences: Theory & Practice, 14(4), 1375–1384.
- Bell, D. (2016). The reality of STEM education, design and technology teachers’ perceptions: A phenomenographic study. International Journal of Technology and Design Education, 26, 61–79.
- Biggs, J. (1987). The process of learning. Sydney: Prentice Hall.
- Birenbaum, M. (1996). Assessment 2000: Towards a pluralistic approach to assessment. In M. Birenbaum & F. Dochy, (Eds.), Alternatives in assessment of achievements, learning processes and prior knowledge (pp. 3–30). Boston: Kluwer.
- Blum, W. (2011). Can modelling be taught and learnt? Some answers from empirical research. In G. Kaiser, W. Blum, R. Borromeo Ferri & G. Stillman (Eds.), International perspectives on the teaching and learning of mathematical modelling, trends in teaching and learning of mathematical modelling (pp. 15–30). Dordrecht: Springer.
- Blum, W., & Leiss, D. (2007). How do Students and Teachers deal with mathematical Modelling Problems? The example Sugaloaf und the DISUM Project. In C. Haines, P. L.
Details
Primary Language
English
Subjects
Special Education and Disabled Education
Journal Section
Research Article
Publication Date
April 1, 2021
Submission Date
November 27, 2020
Acceptance Date
December 21, 2020
Published in Issue
Year 2021 Volume: 7 Number: 2