Towards Requirements for Intelligent Mentoring Systems-Reference-Cited by-同舟云学术

Towards Requirements for Intelligent Mentoring Systems

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond - ABIS '19
language:
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Author:

Kravčík Milos¹,Schmid Katharina¹,Igel Christoph¹

Affiliation:

1. DFKI GmbH, Berlin, Germany

Funder

German Federal Ministry of Education and Research

Publisher

ACM Press

Reference22 articles.

1. K.E Arnold and M.D Pistilli (2012). Course signals at Purdue: Using learning analytics to increase student success. Proceedings of the 2nd international conference on learning analytics and knowledge. ACM.

2. I Arroyo et al (2014). A multimedia adaptive tutoring system for mathematics that addresses cognition, metacognition and affect. International Journal of Artificial Intelligence in Education 24(4), 387--426.

3. R Azevedo et al (2010). Self-regulated learning with MetaTutor: Advancing the science of learning with MetaCognitive tools. New science of learning. Springer, New York, NY. 225--247.

4. R.S Baker (2016). Stupid tutoring systems, intelligent humans. International Journal of Artificial Intelligence in Education 26(2), 600--614.

5. F Bouchet, J.M Harley and R Azevedo (2016). Can adaptive pedagogical agents' prompting strategies improve students' learning and self-regulation? International Conference on Intelligent Tutoring Systems. Springer, Cham.

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