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24 - Teacher Knowledge for Inclusive Computing Learning

from Teacher and Student Knowledge

Published online by Cambridge University Press:  15 February 2019

Sally A. Fincher
Affiliation:
University of Kent, Canterbury
Anthony V. Robins
Affiliation:
University of Otago, New Zealand
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Summary

This chapter describes essential teacher knowledge for effectively engaging students in computer science learning in classrooms. Drawing on sociocultural learning theories, this chapter begins with a description of the intrinsic connection between teaching and learning, the role of culture, and the importance of viewing teaching and pedagogical practices through the lens of engaged learning. After a synthesis of teacher knowledge literature, the authors advocate for four key practices in computer science education: 1) developing teachers’ “specialized content knowledge”, that is, the domain knowledge and skills unique to teaching that supports learning; 2) enacting inquiry-based practices; 3) building teachers’ knowledge and fluency with pedagogy that is culturally responsive and provides an additive approach to successfully teaching students from diverse cultural groups; and 4) supporting teacher awareness and agency around how school systems and policies concerning computer science shape students’ educational pathways. The chapter concludes with a brief discussion of open questions for the computer science education field.
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Chapter
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Publisher: Cambridge University Press
Print publication year: 2019

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References

Angeli, C., Voogt, J., Fluck, A., Webb, M., Cox, M., Malyn-Smith, J., & Zagami, J. (2016). A K–6 computational thinking curriculum framework: Implications for teacher knowledge. Journal of Educational Technology & Society, 19(3), 4757.Google Scholar
Astrachan, O., & Briggs, A. (2012). The CS principles project. ACM Inroads, 3(2), 3842.CrossRefGoogle Scholar
Ball, D. L. (1990). The mathematical understandings that prospective teachers bring to teacher education. The Elementary School Journal, 90(4), 449466.Google Scholar
Ball, D. L. (1993). With an eye on the mathematical horizon: Dilemmas of teaching elementary school mathematics. The Elementary School Journal, 93(4), 373397.Google Scholar
Ball, D. L., Thames, M. H., & Phelps, G. (2008). Content knowledge for teaching: What makes it special? Journal of Teacher Education, 59(5), 389407.Google Scholar
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), 4854.Google Scholar
Begle, E. G. (1979). Critical Variables in Mathematics Education: Findings from a Survey of the Empirical Literature. Washington, DC: Mathematical Association of America.Google Scholar
Bransford, J. D., & Donovan, M. S. (2005). Scientific inquiry and how people learn. In M. S. Donovan & J. D. Bransford (Eds.), How Students Learn: History, Mathematics, and Science in the Classroom (pp. 397420). Washington, DC: National Academies Press.Google Scholar
Brown, N. C., & Altadmri, A. (2017). Novice Java programming mistakes: Large-scale data vs. educator beliefs. ACM Transactions on Computing Education (TOCE), 17(2), 7.Google Scholar
Bruner, J. S. (1977). The Process of Education (rev. ed.). Cambridge, MA: Harvard University Press.Google Scholar
Byrne, C. J. (1983). Teacher knowledge and teacher effectiveness: A literature review, theoretical analysis and discussion of research strategy. Paper presented at the meeting of the Northwestern Educational Research Association, Ellenville, NY.Google Scholar
Cochran-Smith, M. (1995). Color blindness and basket making are not the answers: Confronting the dilemmas of race, culture, and language diversity in teacher education. American Educational Research Journal, 32(3), 493522.Google Scholar
Cole, M. (2006). The Fifth Dimension: An After-School Program Built on Diversity. New York: Russell Sage Foundation.Google Scholar
Cole, M., & Engestrom, Y. (2007). Cultural–historical approaches to designing for development. In Valsiner, J. & Rosa, A. (Eds.), The Cambridge Handbook of Sociocultural Psychology (pp. 484506). New York: Cambridge University Press.Google Scholar
Computer Science Teachers Association (2017). K–12 Computer Science Standards. Retrieved from www.csteachers.org/page/standardsGoogle Scholar
Darling-Hammond, L. (2000). Teacher quality and student achievement. Education Policy Analysis Archives, 8(1), 142.Google Scholar
Denton, J. J., & Lacina, L. J. (1984). Quantity of professional education coursework linked with process measures of student teaching. Teacher Education and Practice, 1, 3964.Google Scholar
Eglash, R., Gilbert, J. E., & Foster, E. (2013). Toward culturally responsive computing education. Communications of the ACM, 56(7), 3336.Google Scholar
Eglash, R., Gilbert, J. E., Taylor, V., & Geier, S. R. (2013). Culturally responsive computing in urban, after-school contexts: Two approaches. Urban Education, 48(5), 629656.Google Scholar
Fennema, E., Carpenter, T. P., Franke, M. L., Levi, L., Jacobs, V. R., & Empson, S. B. (1996). A longitudinal study of learning to use children’s thinking in mathematics instruction. Journal for Research in Mathematics Education, 27(4), 403434.Google Scholar
Ferguson, P., & Womack, S. T. (1993). The impact of subject matter and on teaching performance. Journal of Teacher Education, 44(1), 5563.Google Scholar
Gay, G. (2010). Culturally Responsive Teaching: Theory, Research, and Practice. New York: Teachers College Press.Google Scholar
Granor, N., DeLyser, L. A., & Wang, K. (2016). Teals: Teacher professional development using industry volunteers. In Proceedings of the 47th ACM Technical Symposium on Computing Science Education (pp. 6065). New York: ACM.Google Scholar
Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 3843.CrossRefGoogle Scholar
Guyton, E., & Farokhi, E. (1987). Relationships among academic performance, basic skills, subject matter knowledge, and teaching skills of teacher education graduates. Journal of Teacher Education, 38(5), 3742.Google Scholar
Hristova, M., Misra, A., Rutter, M., & Mercuri, R. (2003). Identifying and correcting Java programming errors for introductory computer science students. ACM SIGCSE Bulletin, 35(1), 153156.Google Scholar
Hutchins, E. (1995). How a cockpit remembers its speeds. Cognitive Science, 19, 265288.Google Scholar
K–12 Computer Science Framework (2016). K–12 Computer Science Framework. Retrieved from www.k12cs.orgGoogle Scholar
Kafai, Y., Searle, K., Martinez, C., & Brayboy, B. (2014). Ethnocomputing with electronic textiles: Culturally responsive open design to broaden participation in computing in American Indian youth and communities. In Proceedings of the 45th ACM Technical Symposium on Computer Science Education (pp. 241246). New York: ACM.Google Scholar
Ladson-Billings, G. (1995). But that’s just good teaching! The case for culturally relevant pedagogy. Theory into Practice, 34(3), 159165.Google Scholar
Leont’ev, A. N. (1932). Studies in the cultural development of the child, 3: The development of voluntary attention in the child. Journal of Genetic Psychology, 37, 5281.Google Scholar
Leont’ev, A. N. (1981). The problem of activity in psychology. In Wertsch, J. V. (Ed.), The Concept of Activity in Soviet Psychology (pp. 3771). White Plains, NY: Sharpe.Google Scholar
Luria, A. R. (1928). The problem of the cultural development of the child. Journal of Genetic Psychology, 35, 506.Google Scholar
Luria, A. R. (1932). The Nature of Human Conflicts. New York: Liveright.Google Scholar
Margolis, J., Estrella, R., Goode, J., Jellison Holme, J., & Nao, K. (2008). Stuck in the Shallow end: Education, Race, and Computing. Boston, MA: MIT Press.Google Scholar
Margolis, J., Goode, J., Chapman, G., & Ryoo, J. J. (2014). That classroom “magic”. Communications of the ACM, 57(7), 3133.Google Scholar
Martin, A., McAlear, F., & Scott, A. (2015). Path Not Found: Disparities in Access to Computer Science Courses in California High Schools. Retrieved from https://files.eric.ed.gov/fulltext/ED561181.pdfGoogle Scholar
Milner IV, H. R. (2015). Rac(e)ing to Class: Confronting Poverty and Race in Schools and Classrooms. Cambridge, MA: Harvard Education Press.Google Scholar
Monk, D. H. (1994). Subject area preparation of secondary mathematics and science teachers and student achievement. Economics of Education Review, 13(2), 125145.Google Scholar
National Research Council (2005). How Students Learn: Science in the Classroom. Washington, DC: Committee on How People Learn.Google Scholar
National Research Council (2010). Report of a Workshop on the Scope and Nature of Computational Thinking. Washington, DC: National Academies Press.Google Scholar
National Research Council (2011). Report of a Workshop on the Pedagogical Aspects of Computational Thinking. Washington, DC: National Academies Press.Google Scholar
National Research Council (2013). Next Generation Science Standards: For States, by States. Washington, DC: National Academies Press.Google Scholar
Perkes, V. A. (1967). Junior high school science teacher preparation, teaching behavior, and student achievement. Journal of Research in Science Teaching, 5(2), 121126.Google Scholar
Ryoo, J., Goode, J., & Margolis, J. (2015). It takes a village: Supporting inquiry- and equity-oriented computer science pedagogy through a professional learning community. Computer Science Education, 25(4), 351370.Google Scholar
Sadler, P. M., Sonnert, G., Coyle, H. P., Cook-Smith, N., & Miller, J. L. (2013). The influence of teachers’ knowledge on student learning in middle school physical science classrooms. American Educational Research Journal, 50(5), 10201049.CrossRefGoogle Scholar
Scott, K. A., Sheridan, K. M., & Clark, K. (2015). Culturally responsive computing: A theory revisited. Learning, Media and Technology, 40(4), 412436.Google Scholar
Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 414.Google Scholar
Smith, T. M., Desimone, L. M., & Ueno, K. (2005). “Highly qualified” to do what? The relationship between NCLB teacher quality mandates and the use of reform-oriented instruction in middle school mathematics. Educational Evaluation and Policy Analysis, 27(1), 75109.Google Scholar
Turkle, S., & Papert, S. (1990). Epistemological pluralism: Styles and voices within the computer culture. Signs: Journal of Women in Culture and Society, 16(1), 128157.Google Scholar
Voogt, J., Fisser, P., Good, J., Mishra, P., & Yadav, A. (2015). Computational thinking in compulsory education: Towards an agenda for research and practice. Education and Information Technologies, 20(4), 715728.Google Scholar
Vygotsky, L. S. (1929). The problem of the cultural development of the child, II. Journal of Genetic Psychology, 36, 415–34.Google Scholar
Vygotksy, L. S. (1960). The Development of Higher Psychological Functions. Moscow, Russia: Izdael’stov Akademii Pedagogicheskikh Nauk, in Russian.Google Scholar
Vygotsky, L. S. (1978). Mind in Society. Cambridge, MA: Harvard University Press.Google Scholar
Zhang, J., & Patel, V. L. (2006). Distributed cognition, representation, and affordance. Pragmatics & Cognition, 14(2), 333341.CrossRefGoogle Scholar

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