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Motivating Learning in the Age of the Adaptive Tutor.. AIED, том 9112 из Lecture Notes in Computer Science, стр. 852-855. Springer, (2015)Testing the Multimedia Principle in the Real World: A Comparison of Video vs. Text Feedback in Authentic Middle School Math Assignments., и . EDM, стр. 296-299. International Educational Data Mining Society (IEDMS), (2014)Enhancing Student Motivation and Learning Within Adaptive Tutors.. EDM, стр. 668-670. International Educational Data Mining Society (IEDMS), (2015)Single Template vs. Multiple Templates: Examining the Effects of Problem Format on Performance., , , , , , и . ICLS, International Society of the Learning Sciences, (2020)The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial., , , и . EDM, стр. 144-149. International Educational Data Mining Society (IEDMS), (2015)Enhancing the efficiency and reliability of group differentiation through partial credit., , , и . LAK, стр. 454-458. ACM, (2016)Using Design Patterns for Math Preservice Teacher Education., , , , , , , , , и 1 other автор(ы). EuroPLoP, стр. 31:1-31:8. ACM, (2018)Crowdsourcing and Education: Towards a Theory and Praxis of Learnersourcing., , , , , , , , и . ICLS, International Society of the Learning Sciences, (2018)Hint Availability Slows Completion Times in Summer Work., , , , , , , , и . EDM, стр. 388-393. International Educational Data Mining Society (IEDMS), (2016)The Opportunity Count Model: A Flexible Approach to Modeling Student Performance., , , и . L@S, стр. 113-116. ACM, (2016)