Towards Adaptive Hour of Code
| Authors | |
|---|---|
| Year of publication | 2019 |
| Type | Article in Proceedings |
| Conference | International Conference on Artificial Intelligence in Education |
| MU Faculty or unit | |
| 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: |