A study published on arXiv investigated how different levels of user control impact interactive educational recommender systems (ERSs). The research, conducted on the CourseMapper platform with 184 participants, found that allowing users to build and refine their profiles was sufficient to foster positive perceptions of the ERS. While increased control options reinforced these impressions, perceived control, particularly input control, was the most significantly affected aspect. AI
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IMPACT Provides insights into user experience design for AI-powered educational tools, suggesting profile control is key for trust and satisfaction.
RANK_REASON Academic paper detailing a user study on recommender systems. [lever_c_demoted from research: ic=1 ai=0.7]