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Study finds user control in educational recommenders boosts trust and satisfaction

By PulseAugur Editorial · [1 sources] ·

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

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]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Study finds user control in educational recommenders boosts trust and satisfaction

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Qurat Ul Ain, Mohamed Amine Chatti, William Kana Tsoplefack, Rawaa Alatrash, Shoeb Joarder ·

    Investigating the Effects of Different Levels of User Control in an Interactive Educational Recommender System

    arXiv:2605.01400v1 Announce Type: cross Abstract: Educational recommender systems (ERSs) are becoming increasingly important in enhancing educational outcomes and personalizing learning experiences by providing recommendations of personalized resources and activities to learners,…

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