| Autor: |
Chris Ferguson, Egon L. van den Broek, Herre van Oostendorp |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Computers and Education: Artificial Intelligence, Vol 3, Iss , Pp 100089- (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2666-920X |
| DOI: |
10.1016/j.caeai.2022.100089 |
| Popis: |
Holding the promise of higher learning outcomes, discovery learning utilizes intrinsic motivation to provide an enjoyable self-directed learning experience. Unfortunately, this approach can also lead to a sub-optimal cognitive load, which hinders learning. To avoid this, players must be in the optimal Zone of Proximal Development (ZPD). A way of accomplishing this is to make use of Artificial Intelligence in a narrative-centered discovery game using adaptive guidance. Textual instructions were automatically adapted in real-time to ensure a personalized challenge for one group of learners, where a control group received static instructions. Compared to the control group, the learners with personalized instructions showed higher story and spatial learning, while having decreased cognitive load and a similar learning experience. So, instructions given to self-directed learners can be personalized in real-time, which not only reduces learners’ cognitive load but also leads to enhanced learning outcomes without affecting the learning experience. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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