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Pedagogical Approaches in Computational Thinking-Integrated STEAM Learning Settings: A Literature Review.

A. Veerasamy, P. Larsson, M. Apiola, D. D'Souza, и M. Laakso. SAI (3), том 285 из Lecture Notes in Networks and Systems, стр. 369-389. Springer, (2021)

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Ashok Kumar

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Другие публикации лиц с тем же именем

Relationship between perceived problem-solving skills and academic performance of novice learners in introductory programming courses.A. Veerasamy, D. D'Souza, R. Lindén, и M. Laakso. J. Comput. Assist. Learn., 35 (2): 246-255 (2019)Measuring Students' Stress with Mood Sensors: First Findings.H. Kajasilta, M. Apiola, E. Lokkila, A. Veerasamy, и M. Laakso. ICWL, том 11841 из Lecture Notes in Computer Science, стр. 92-99. Springer, (2019)Pedagogical Approaches in Computational Thinking-Integrated STEAM Learning Settings: A Literature Review.A. Veerasamy, P. Larsson, M. Apiola, D. D'Souza, и M. Laakso. SAI (3), том 285 из Lecture Notes in Networks and Systems, стр. 369-389. Springer, (2021)Formative assessment tasks as indicators of student engagement for predicting at-risk students in programming courses.A. Veerasamy, M. Laakso, и D. D'Souza. Informatics Educ., 21 (2): 375-393 (2022)Using early assessment performance as early warning signs to identify at-risk students in programming courses.A. Veerasamy, D. D'Souza, M. Apiola, M. Laakso, и T. Salakoski. FIE, стр. 1-9. IEEE, (2020)Predictive Models as Early Warning Systems: A Bayesian Classification Model to Identify At-Risk Students of Programming.A. Veerasamy, M. Laakso, D. D'Souza, и T. Salakoski. SAI (2), том 284 из Lecture Notes in Networks and Systems, стр. 174-195. Springer, (2021)

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