Artificial Intelligence Supported Educational Technologies

التفاصيل البيبلوغرافية
مؤلف مشترك: SpringerLink (Online service)
مؤلفون آخرون: Pinkwart, Niels (المحرر), Liu, Sannyuya (المحرر)
الملخص:X, 297 p. 71 illus., 46 illus. in color.
text
اللغة:الإنجليزية
منشور في: Cham : Springer International Publishing : Imprint: Springer, 2020.
الطبعة:1st ed. 2020.
سلاسل:Advances in Analytics for Learning and Teaching,
الموضوعات:
الوصول للمادة أونلاين:https://doi.org/10.1007/978-3-030-41099-5
التنسيق: الكتروني كتاب
جدول المحتويات:
  • 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.