Towards Adaptive Hour of Code

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Authors

EFFENBERGER Tomáš

Year of publication 2019
Type Article in Proceedings
Conference International Conference on Artificial Intelligence in Education
MU Faculty or unit

Faculty of Informatics

Citation
Web Plný text článku
Doi http://dx.doi.org/10.1007/978-3-030-23207-8_62
Keywords introductory programming; adaptive learning; student modeling; intelligent tutoring systems
Description Hour of Code activities became a de facto standard for the first encounter with programming, reaching millions of children every year. These activities are typically not personalized and offer the same sequence of tasks to everybody, which leads to too slow pace for some students, while too fast for others. We aim to improve upon the current state of the art in teaching introductory programming by providing insight into how adaptive learning techniques can make the Hour of Code activities more efficient and engaging.
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