The study of the impact of transparency in the authorship of pedagogical recommendations on the perception of online students
1. Distance learning;
2. Online Learning Environments;
3. Recommender Systems;
4. Confidence;
5. Transparency of Pedagogical Recommendations.
The present work has as main objective to analyze what determines the student's confidence in the recommendations of online courses. The analysis will feature a systematic literature review to identify the articles that best define the relationship between trust and acceptance of pedagogical recommendations. The review will define the impact that recommendations have on user confidence, whether automatic, manual or the consistency of what was recommended. In addition, we will carry out an experiment with simulated data to measure students' perception of confidence in the recommendations suggested in the online environment in order to identify whether students prefer recommendations from a teacher or a machine, also measuring the transparency of the process choice as to whether or not to know who the recommendation comes from. We hope to contribute to the understanding of the dynamics of student confidence in online environments, as well as provide theoretical and empirical foundations for the improvement of pedagogical recommendations in distance learning environments.