Pre-service Teacher Perceptions in Integrating Maker-Centered Learning in their Mathematics and Education Initial Teacher Education Programme

Cornelia Connolly, Sean O Gorman, Tony Hall, Raquel Hijón-Neira

Resum

This paper describes an innovative programme ‘C24M2 : Creative Coding for Math’s Makers’, in an undergraduate concurrent teacher education degree programme. Using the Makerspace in a University setting, the programme fostered a culture of creativity and innovation through combining mathematics and the more widely recognized STEM subjects. In addressing the challenge of preparing teachers effectively to teach key STEM areas, such as computational thinking, in an engaging and effective way, this paper describes a maker-design and structure, integrating physics with computer coding, to address the challenge in preparing student teachers of mathematics. The paper aims to validate and explore the pre-service teachers’ perceptions of computer science and demonstrates the potential of maker-centered learning as a powerful context for promoting and enhancing STEM education, both amongst pupils and pre-service teachers. This paper examines if the design of the C24M2 fosters a positive attitude towards computing for this set of pre-service teachers. The research conducted addresses the salient issues in sustaining and integrating maker-centered learning more widely and systematically within education, particularly the need to support teacher professional development in maker-centered learning to mediate sustainable, high impact learning in schools and other educational settings.


Paraules clau

Computer science education; mathematics education; makerspace learning; pre-service teacher education

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Referències


Barr, V., & Stephenson, C. (2011). Bringing computational thinking to K-12: What is involved and what is the role of the computer science education community? ACM Inroads, 2(1), 48-54.

Bell, T., Andreae, P., & Lambert, L. (2010). Computer science in New Zealand high schools. . Paper presented at the 12th Australasian Conference on Computing Education, Brisbane, Australia.

Brown, N. C., Kölling, M., Crick, T., Peyton Jones, S., Humphreys, S., & Sentance, S. (2013). Bringing computer science back into schools: Lessons from the UK. . Paper presented at the 44th ACM Technical Symposium on Computer Science Education (SIGCSE’13). New York.

Bruner, J. (1996). The process of education. Cambridge, MA: Harvard University Press.

Cohen, L., Mannion, L., & Morrison, K. (2000). Research Methods in Education (Fifth Edition ed.). . Routledge Academic Publishers.: Routledge Academic Publishers.

Csizmadia, A., Curzon, P., Dorling, M., Humphreys, S., Ng, T., Selby, C., & Woollard, J. (2015). Computational thinking-A guide for teachers. UK: Computing at School.

Cuny, J., Snyder, L., & Wing, J. (2010). Demystifying computational thinking for non computer scientists.

Curzon, P., & McOwan, P. W. (2017). The power of computational thinking: Games, magic and puzzles to help you become a computational thinker. : World Scientific Publishing Company.

DES. (1997). Information and Communication Technologies in Irish Education.

DES. (2016). Action Plan for Education 2016-2019.

Doyle, W. (1986). Classroom Organisation and Management. In M. Wittrock (Ed.), Handbook of Research on Teaching (3rd ed. ed., pp. 392-431). New York: Macmillan.

Dweck, C. S. (2006). Mindset. New York: Random House.

Emmer, E., Everston, C., & Worsham, M. (2003). Classroom Management for Secondary Teachers (6th ed.). Boston: Allyn & Bacon.

Evertson, C., Emmer, C., & Worsham, M. (2003). Classroom Management for Elementary Teachers (6th ed.). Boston: Allyn & Bacon.

Gibson, S., & Dembo, M. H. (1984). Teacher efficacy: A construct validation. Journal of Educational Psychology, 76(4), 569-582., 76(4), 569-582.

Ginsburg, G. P. (1981). Role Playing and Role Performance in Social Psychological Research. In G. N. Gilbert & P. Abell (Eds.), Accounts and Action (pp. 183-187). Aldershot: Gower.

Hubwieser, P. (2012). Computer science education in secondary schools: The introduction of a new compulsory subject. Transactions in Computing Education, 12(4), 161-164. doi:DOI:http://dx.doi.org/10.1145/2382564.2382568.

Kennedy, M. M. (1999). Form and substance in mathematics and science professional development. NISE Brief, 3(2), 1-8.

Kingsley-Hughes, A., & Kingsley-Hughes, K. (2005). Beginning Programming, . Indianapolis, IN: Wiley Publishing.

Martin, L. (2015). The Promise of the Maker Movement for Education. Journal of Pre-College Engineering Education Research (J-PEER), 5. doi:10.7771/2157-9288.1099

Mason, J., Burton, L., & Stacey, K. (2011). Thinking Mathematically. (2nd Ed. ed.): Pearson Higher Ed.

McInereny, V. (1997). Computer Anxiety: Assessment and Treatment. . (Doctor of Philosophy). University of Western Sydney Macarthur.

NCCA. (2009). Key Skills Framework. Retrieved from Dublin: http://www.ncca.ie/en/Curriculum_and_Assessment/Post-Primary_Education/Senior_Cycle/Key_Skills_Framework/KS_Framework.pdf

NCCA. (2017). Leaving Certification Computer Science, Draft Specification for consultation. Retrieved from http://ncca.ie/en/Curriculum_and_Assessment/Post-Primary_Education/Senior_Cycle/Consultation/LC-Computer-Science.pdf

Ní Ríordáin, M., & Hannigan, A. (2009). Out-of-field teaching in post-primary mathematics education: an analysis of the Irish context.

Ní Ríordáin, M., & Hannigan, A. (2011). Who teaches mathematics at second-level in Ireland? Irish Educational Studies, 30(3), 289-304.

NRC. (2010). Report of a Workshop on the Scope and Nature of Computational Thinking National Research Council, Washington DC: National Academies Press

NRICH. (2019). NRICH, Thinking Mathematically. Retrieved from https://nrich.maths.org/mathematically

Oates, B. J. (2006). Researching Information Systems and Computing. London: SAGE Publications Inc.

PISA. (2006). Assessing Scientific, Reading and Mathematical Literacy. A Framework for PISA 2006. . PISA (Programme for International Student Assessment), Paris: Organisation for Economic Co-operation and Development (OECD)

Prieto-rodriguez, E., & Berretta, R. (2014). Digital technology teachers’ perceptions of computer science: It is not all about programming. Paper presented at the IEEE Frontiers in Education Conference.

Resinck, L. B. (1987). Education and Learning to Think. Washington D.C.: National Academy Press.

Resnick, M., & Robinson, K. (2017). Lifelong kindergarten: Cultivating creativity through projects, passion, peers, and play: MIT Press.

Rosen, L. D., Sears, D. C., & Weil, M. M. (1987b). Computerphobia Measurement. A Manual for the Administration and Scoring of Three Instruments: Computer Anxiety Rating Scale (CARS), Attitudes Toward Computers Scale (ATCS) and Computer Thoughts Survey (CTS). Retrieved from California:

Sarason, I. G. (1991). Anxiety, Self-Preoccupation and Attention. In R. Schwarzer & R. A. Wicklund (Eds.), Anxiety and Self-Focussed Attention (pp. 9-13): Harwood Academic Publishers.

Schön, D. A. (1991). Educating the Reflective Practitioner. San Francisco: Jossey Bass.

Sneider, C., Stephenson, C., Schafer, B., & Flick, L. (2014). Computational Thinking in High School Science Classrooms: Exploring the Science "Framework" and NGSS. The Science Teacher, 81(5), 53-59.

Spielberger, C. D. (1975a). Anxiety: State-Trait Process. In C. D. Spielberger & I. G. Sarason (Eds.), Stress and Anxiety (Vol. 1, pp. 115-143). Washington DC: Hemisphere/Wiley.

Spielberger, C. D. (1975b). The Nature and Measurement of Anxiety. In C. D. Spielberger & R. Diaz-Guerrero (Eds.), Cross-Cultural Research on Anxiety. Washington DC: Hemisphere/Wiley.

Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science classrooms. . Journal of Science Education and Technology, 25(1), 127-147.

Wing, J. M. (2006). Computational Thinking. Communications of the ACM, 49(3).

Yadav, A., Gretter, S., Good, J., & McLean, T. (2017). Computational thinking in teacher education. In Emerging research, practice, and policy on computational thinking (pp. 205-220). Chm.: Springer.

Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J. T. (2014). Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education, 14(1), 1-16.




DOI: https://doi.org/10.17345/ute.2020.3.2778



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