Research Article

Pre-Service Teachers’ Cognitive and Metacognitive Processes in Integrated STEM Modeling Activity

Volume: 7 Number: 2 April 1, 2021
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

Thanks

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References

  1. 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.
  2. 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
  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.
  4. 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.
  5. Biggs, J. (1987). The process of learning. Sydney: Prentice Hall.
  6. 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.
  7. 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.
  8. 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

Authors

Publication Date

April 1, 2021

Submission Date

November 27, 2020

Acceptance Date

December 21, 2020

Published in Issue

Year 2021 Volume: 7 Number: 2

APA
Kandemir, M., & Karadeniz, İ. (2021). Pre-Service Teachers’ Cognitive and Metacognitive Processes in Integrated STEM Modeling Activity. Journal of Education in Science Environment and Health, 7(2), 104-127. https://doi.org/10.21891/jeseh.832574