Learning Analytics in Introductory Programming Courses: a Showcase from the Federal University of Amazonas”, conforme indicado no trabalho
DOI:
https://doi.org/10.5753/rbie.2023.3334Keywords:
Failure, Learning Analytics, Courses, Introductory ComputingAbstract
Introductory computing courses have a high failure rate worldwide. At the Federal University of Amazonas, this also happens and, since 2016 a group of professors decided to reformulate the course at the institution and some learning analytics initiatives have been adopted. The reformulation included a review of the course program and the use of an online judge. After all these years of research, the group has enough material and data and it is a good moment to summarize what has been done and the achievements so far. In this article, the focus will be the learning analytics in three main areas: student performance prediction, classification of difficulty of programming exercises, and gamification. Also, as a contribution, for the first time in a journal, the whole dataset is available to the community.
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Copyright (c) 2023 Flávio J. M. Coelho, Elaine H. T. Oliveira, Filipe D. Pereira, David B. F. Oliveira, Leandro S. G. Carvalho, Eduardo J. P. Souto, Marcela Pessoa, Rafaela Melo, Marcos A. P. de Lima, Fabiola G. Nakamura
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