Steering Recommendations and Visualising Its Impact: Effects on Adolescents’ Trust in E-Learning Platforms

Author:

Ooge Jeroen1ORCID,Dereu Leen1ORCID,Verbert Katrien1ORCID

Affiliation:

1. Computer Science, KU Leuven, Belgium

Funder

Agentschap Innoveren en Ondernemen

Fonds Wetenschappelijk Onderzoek

KU Leuven

Publisher

ACM

Reference86 articles.

1. Solmaz Abdi , Hassan Khosravi , Shazia Sadiq , and Dragan Gasevic . 2019. A Multivariate Elo-Based Learner Model for Adaptive Educational Systems . In International Educational Data Mining Society. International Educational Data Mining Society , Montreal, Canada, ED599177. Solmaz Abdi, Hassan Khosravi, Shazia Sadiq, and Dragan Gasevic. 2019. A Multivariate Elo-Based Learner Model for Adaptive Educational Systems. In International Educational Data Mining Society. International Educational Data Mining Society, Montreal, Canada, ED599177.

2. Complementing educational recommender systems with open learner models

3. Trends and Trajectories for Explainable, Accountable and Intelligible Systems

4. Sunita  B. Aher and L.  M. R. J. Lobo . 2013. Combination of Machine Learning Algorithms for Recommendation of Courses in E-Learning System Based on Historical Data. Knowledge-Based Systems 51 (Oct . 2013 ), 1–14. https://doi.org/10.1016/j.knosys.2013.04.015 10.1016/j.knosys.2013.04.015 Sunita B. Aher and L. M. R. J. Lobo. 2013. Combination of Machine Learning Algorithms for Recommendation of Courses in E-Learning System Based on Historical Data. Knowledge-Based Systems 51 (Oct. 2013), 1–14. https://doi.org/10.1016/j.knosys.2013.04.015

5. Using learning analytics to develop early-warning system for at-risk students

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