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022_000145/0000

Algorythmics: Technologically and Artistically Enhanced Computer Science Education

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Auteur
Zoltán Kátai
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Sapientia Books. Natural Sciences
022_000145/0172
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172 REFERENCES Kátai, Z., Juhász, K., Adorjáni, A. K. (2008). On the role of senses in education. Computers & Education, 51(4), 1707-1717. Kätai, Z., Osztiän, E., Osztiän, P. R., Nagy, J. E., & Cosma, C. (2020). AlgoRythmics (Version 2.2.0). Sapientia Hungarian University of Transylvania. https:// algorythmics.ms.sapientia.ro/. Kätai, Z., Osztiän, E., Osztiän, P.R., & Vekov, G. K. (2018, January 30). AlgoRythmics [Video]. Youtube. https://www.youtube.com/user/AlgoRythmics/. Kátai, Z., g Tóth, L. (2010). Technologically and artistically enhanced multisensory computer-programming education. Teaching and Teacher Education, 26, 244—251. Kátai, Z., g Tóth, L. (2011, March 29). AlgoRythmics [Video]. YouTube. https:// www.youtube.com/user/AlgoRythmics. Kavenaugh, J. F. (Ed.). (1991). The language continuum from infancy to literacy. Baltimore: York. Keller, J., & Suzuki, K. (2004). Learner motivation and e-learning design: A multinationally validated process. Journal of educational Media, 29(3), 229-239. Keller, J. M. (1983). Motivational design of instruction. Instructional design theories and models: An overview of their current status, 1(1983), 383-434. Keller, J. M. (1987). Development and use of the ARCS model of instructional design. Journal of instructional development, 10(3), 2. Khan, A., Ahmad, F. H., & Malik, M. M. (2017). Use of digital game based learning and gamification in secondary school science: The effect on student engagement, learning and gender difference. Education and Information Technologies, 22(6), 2767-2804. Knuth, D. E. (1985). Algorithmic thinking and mathematical thinking. The American Mathematical Monthly, 92(3), 170-181. Korhonen, A., & Malmi, L. (2000, July). Algorithm simulation with automatic assessment. In: Proceedings of the 5'* Annual SIGCSE/SIGCUE ITiCSE Conference on Innovation and Technology in Computer Science Education (pp- 160-163). ACM Press, New York. Krathwohl, D. R. (2002). A revision of Bloom’s taxonomy: An overview. Theory into practice, 41(4), 212-218. Lawrence, A. W. (1993). Empirical studies of the value of algorithm animation in algorithm understanding. Atlanta. http://www.dtic.mil. Lee, O., & Anderson, C. W. (1993). Task engagement and conceptual change in middle school science classrooms. American educational research journal, 30(3), 585-610. Lee, O., & Brophy, J. (1996). Motivational patterns observed in sixth-grade science classrooms. Journal of Research in Science Teaching, 33(3), 303-318. Lepper, M. R., Corpus, J. H., & Iyengar, S. S. (2005). Intrinsic and extrinsic motivational orientations in the classroom: Age differences and academic correlates. Journal of educational psychology, 97(2), 184.

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