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Computer science (CS) teachers’ training and profile is crucial to ensure students have access to quality computer science education (CSE). The aim of this study is to examine the profile of CS teachers in Greece and map it using the technique of persona. This study examines a national sample of 636 CS teachers who teach algorithms and programing in upper secondary education. The building of the persona is based on teachers’ abilities and needs regarding the central aspects of their knowledge with respect to three key domains as described by the technological, pedagogical, and content knowledge (TPACK) framework. According to the results, teachers attain relatively high scores on the TPACK subscales, however they state that there is an area for improvement in their Technology Knowledge and the intersection between content, pedagogical, and technological knowledge. In addition, teachers feel that they need further training on how to incorporate technology in their teaching as well as how to teach algorithms; which are two areas that relate to pedagogical content knowledge and TPACK. By mapping the knowledge, abilities, and needs of CS teachers, we will be able to recognize the challenges they face during teaching and consider strategies and policies for addressing these challenges.
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Angeli, C., & Valanides, N. (2005). Preservice teachers as ICT designers: An instructional design model based on an expanded view of pedagogical content knowledge. Journal of Computer-Assisted Learning, 21(4), 292–302. CrossRef
Angeli, C., & Valanides, N. (2009). Epistemological and methodological issues for the conceptualization, development, and assessment of ICT-TPCK: Advances in technological pedagogical content knowledge (TPCK). Computers & Education, 52(1), 154–168. CrossRef
Byrne, B. (2009). Structural equation modeling with AMOS: Basic concepts, applications, and programming., Multivariate applications book series New York: Taylor & Francis.
Chang, Y., Lim, Y., & Stolterman, E. (2008). Personas: From theory to practices. Proceedings of the Nordic Conference on Human–Computer Interaction (NordiCHI’08) (pp. 439–442). New York: ACM.
Cooper, A. (1999). Design von Informationswelten, Gemeinsame Fachtagung des German Chapter of the ACM, der Gesellschaft für Informatik (GI) und der SAP AG, 17. Teubner.
CSTA Report. 2013. Bugs in the system: Computer science teacher certification in the U.S. The Computer Science Teachers Association. Retrieved from http://csta.acm.org/ComputerScienceTeacherCertification/sub/CertificationResources.html.
Doering, A., Scharber, C., Miller, C., & Veletsianos, G. (2009). GeoThentic: Designing and assessing with technological pedagogical content knowledge. Contemporary Issues in Technology and Teacher Education, 9(3), 316–336.
Eyrydice. (2009). Organisation of the education system in Greece (2008/2009). Retrieved from http://eacea.ec.europa.eu/education/eurydice.
Giannakos, M., Hubwieser, P., & Chrisochoides, N. (2013). How students estimate the effects of ICT and programming courses. Proceedings of the 44th ACM Technical Symposium on Computer Science Education (pp. 717–722). New York: ACM.
Graham, C. R., Burgoyne, N., Cantrell, P., Smith, L., St. Clair, L., & Harris, R. (2009). TPACK development in science teaching: Measuring the TPACK confidence of inservice science teachers. TechTrends, 53(5), 70–79. CrossRef
Hair, J. F., Tatham, R. L., Anderson, R. E., & Black, W. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
Hakulinen, J., Turunen, M., Smith, C., Cavazza, M., Charlton, D. (2008). A model for flexible interoperability between dialogue management and domain reasoning for conversational spoken dialogue systems. In Proceedings of the 4th International Workshop on Human–Computer Conversation (pp. 29–34).
Han, I., Eom, M., & Shin, W. S. (2013). Multimedia case-based learning to enhance pre-service teachers’ knowledge integration for teaching with technologies. Teaching and Teacher Education, 34(2), 122–129. CrossRef
Hubwieser, P., Armoni, M., Giannakos, M. N., & Mittermeir, R. T. (2014). Perspectives and visions of computer science education in primary and secondary (K-12) Schools. ACM Transactions on Computing Education (TOCE), 14(2), 7.
Hubwieser, P., Armoni, M., et al. (2011). Computer science/informatics in secondary education. Proceedings of the 16th ITiCSE-WGR’11 (pp. 19–38). New York: ACM.
Hubwieser, P., Magenheim, J., Mühling, A., & Ruf, A. (2013). Towards a conceptualization of pedagogical content knowledge for computer science. Proceedings of the Ninth Annual International ACM Conference on International Computing Education Research (ICER’13) (pp. 1–8). New York: ACM.
Ioannou, I., & Angeli, C. (2013). Teaching computer science in secondary education: A technological pedagogical content knowledge perspective. Proceedings of the 8th Workshop in Primary and Secondary Computing Education (pp. 1–7). New York: ACM. CrossRef
Jimoyiannis, A. (2010). Designing and implementing an integrated technological pedagogical science knowledge framework for science teachers professional development. Computers & Education, 55(3), 1259–1269. CrossRef
Maruyama, G. M. (1998). Basics of structural equation modeling. London: Sage. CrossRef
Mishra, P., & Koehler, M. J. (2006). Technological Pedagogical Content Knowledge: A new framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. CrossRef
Model Curriculum and Guidelines for Undergraduate Degree Programs in Information Systems. (2002). Retrieved from http://www.acm.org/education/is2002.pdf.
Niess, M. L. (2005). Preparing teachers to teach science and mathematics with technology: Developing a technology pedagogical content knowledge. Teaching and Teacher Education, 21(5), 509–523. CrossRef
Ozgun-Koca, S. A., Meagher, M., & Todd, E. M. (2010). Preservice teachers’ emerging TPACK in a technology-rich methods class. Mathematics Educator, 19(2), 10–20.
Ragonis, N., & Hazzan, O. (2009). Integrating a tutoring model into the training of prospective computer science teachers. Journal of Computers in Mathematics and Science Teaching, 28(3), 309–339.
Schmidt, D., Baran, E., Thompson, A., Koehler, M. J., Shin, T., & Mishra, P. (2009). Technological pedagogical content knowledge (TPACK): The development and validation of an assessment instrument for preservice teachers. Journal of Research on Technology in Education, 42, 123–149. CrossRef
Shulman, L. S. (1987). Knowledge and teaching: Foundations of the new reform. Harvard Educational Review, 57(1), 1–22.
Syh-Jong, J., & Kuan-Chung, C. (2010). From PCK to TPACK: Developing a transformative model for pre-service science teachers. Journal of Science Educational Technology, 19, 553–564. CrossRef
The Royal Society. (2012). Shutdown or restart. The way forward for computing in UK schools. Retrieved August 29, 2014, from http://royalsociety.org/uploadedFiles/Royal_Society_Content/education/policy/computing-in-schools/2012-01-12-Computing-in-Schools.pdf.
Tucker, A., Seehorn, D., Carey, S., et al. (2011). CSTA K-12 computer science standards. New York: CSTA Standards Task Force.
Wilson, C., Sudol, L. A., Stephenson, C., & Stehlik, M. (2010). Running on empty: The failure to teach k-12 computer science in the digital age. New York: The Association for Computing Machinery (ACM) and the Computer Science Teachers Association (CSTA). Retrieved December 19, 2014, from http://www.acm.org/Runningonempty/.
- Investigating teachers’ confidence on technological pedagogical and content knowledge: an initial validation of TPACK scales in K-12 computing education context
Michail N. Giannakos
Ilias O. Pappas
- Springer Berlin Heidelberg
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