Artificial Intelligence Supported Educational Technologies
| 団体著者: | |
|---|---|
| その他の著者: | , |
| 要約: | X, 297 p. 71 illus., 46 illus. in color. text |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
|
| 版: | 1st ed. 2020. |
| シリーズ: | Advances in Analytics for Learning and Teaching,
|
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-030-41099-5 |
| フォーマット: | 電子媒体 図書 |
目次:
- Chapter 1. Open learning analytics: a systematic literature review and future perspectives
- Chapter 2. Non-distracting feedback in artificial intelligence supported learning
- Chapter 3. Research on human-computer cooperative teaching supported by artificial intelligence robot assistant
- Chapter 4. A new conceptual framework for measuring online listening in asynchronous discussion forum
- Chapter 5. Self-improvable, self-improving, and self-improvability adaptive instructional system
- Chapter 6. Can sensors effectively support learning?
- Chapter 7. A prototype system of search: finding short material for science education in long and high-definition documentary videos
- Chapter 8. A learning attention monitoring system via photoplethysmogram using wearable wrist devices
- Chapter 9. Towards improving social interaction ability for children with autism spectrum disorder using multimodal sensory information
- Chapter 10. Personalized citation recommendation using a ensemble model of dssm and bibliographic information
- Chapter 11. Augmented: Academic performance prediction based on digital campus
- Chapter 12. Joint embedding learning of educational knowledge graphs
- Chapter 13. Modeling the self-regulated learning behaviors of graduate students in online academic reading and writing environments
- Chapter 14. Mapping machine-generated questions to their related paragraphs in the textbook
- Chapter 15. Change management for learning analytics
- Chapter 16. Lessons learned from designing adaptive training systems: An ethical perspective.