Abstract
As a cognitive and affective state, interest promotes engagement, facilitates self-regulated learning, and is positively associated with learning outcomes. Research has shown that interest interacts with prior knowledge, but few studies have investigated these issues in the context of adaptive game-based learning environments. Using three subscales from the User Engagement Scale, we examine data from middle school students (N = 77) who interacted with Crystal Island in their regular science class to explore the relationship between interest, knowledge, and learning. We found that interest is significantly related to performance (both knowledge assessment and game completion), suggesting that students with high interest are likely to perform better academically, but also be more engaged in the in-game objectives. These findings have implications both for designers who seek to identify students with lower interest and for those who hope to create adaptive supports.
| Original language | English (US) |
|---|---|
| Title of host publication | Artificial Intelligence in Education - 23rd International Conference, AIED 2022, Proceedings |
| Editors | Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 711-716 |
| Number of pages | 6 |
| ISBN (Print) | 9783031116438 |
| DOIs | |
| State | Published - 2022 |
| Externally published | Yes |
| Event | 23rd International Conference on Artificial Intelligence in Education, AIED 2022 - Durham, United Kingdom Duration: Jul 27 2022 → Jul 31 2022 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 13355 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 23rd International Conference on Artificial Intelligence in Education, AIED 2022 |
|---|---|
| Country/Territory | United Kingdom |
| City | Durham |
| Period | 7/27/22 → 7/31/22 |
Bibliographical note
Publisher Copyright:© 2022, Springer Nature Switzerland AG.
Keywords
- Interest
- Learning technology
- Science learning
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