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.
Related projects:	Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VIII.