Towards transparent and trustworthy prediction of student learning achievement by including instructors as co-designers: a case study
Xiaojing Duan, Bo Pei, Gavin Ambrose, Arnon Hershkovitz, Ying Cheng, Chaoli Wang
Topics & Concepts
InterpretabilityTransparency (behavior)Computer scienceTrustworthinessEducational technologyScope (computer science)Process (computing)Knowledge managementMathematics educationArtificial intelligenceData sciencePsychologyOperating systemComputer securityProgramming languageOnline Learning and AnalyticsExplainable Artificial Intelligence (XAI)Intelligent Tutoring Systems and Adaptive Learning