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Monitoring Learners' Proficiency: Weight Adaptation in the Elo Rating System.

, , and . EDM, page 247-252. www.educationaldatamining.org, (2011)

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When Easy Becomes Boring and Difficult Becomes Frustrating: Disentangling the Effects of Item Difficulty Level and Person Proficiency on Learning and Motivation., , , and . Systems, 4 (1): 14 (2016)Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems., , , , , and . Computers & Education, (2019)The Use of IRT for Adaptive Item Selection in Item-Based Learning Environments., , and . AIED, volume 200 of Frontiers in Artificial Intelligence and Applications, page 785-786. IOS Press, (2009)Item difficulty estimation: An auspicious collaboration between data and judgment., , and . Computers & Education, 58 (4): 1183-1193 (2012)Adaptive item-based learning environments based on the item response theory: possibilities and challenges., , and . J. Comp. Assisted Learning, 26 (6): 549-562 (2010)Acquiring Item Difficulty Estimates: a Collaborative Effort of Data and Judgment. Nominee for Best Paper Award., , and . EDM, page 121-128. www.educationaldatamining.org, (2011)Monitoring Learners' Proficiency: Weight Adaptation in the Elo Rating System., , and . EDM, page 247-252. www.educationaldatamining.org, (2011)Learning and instruction in the hybrid virtual classroom: An investigation of students' engagement and the effect of quizzes., , , , , and . Computers & Education, (2020)