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Towards Automated Generation and Evaluation of Questions in Educational Domains., , , , , and . EDM, International Educational Data Mining Society, (2022)Using Time Pressure to Promote Mathematical Fluency., , , , and . ITS, volume 7315 of Lecture Notes in Computer Science, page 669-670. Springer, (2012)Estimating Individual Differences for Student Modeling in Intelligent Tutors from Reading and Pretest Data., , , , , , and . ITS, volume 9684 of Lecture Notes in Computer Science, page 133-143. Springer, (2016)Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods., , , and . EC-TEL, volume 14200 of Lecture Notes in Computer Science, page 229-245. Springer, (2023)Peer Tutor Matching for Introductory Programming: Data-Driven Methods to Enable New Opportunities for Help., , , , , and . ICLS, International Society of the Learning Sciences, (2018)Crowdsourcing the Evaluation of Multiple-Choice Questions Using Item-Writing Flaws and Bloom's Taxonomy., , , and . L@S, page 25-34. ACM, (2023)Toward "Hyper-Personalized" Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring., , , and . AIED Workshops, volume 1009 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Towards Modeling Students' Problem-solving Skills in Non-routine Mathematics Problems., , and . EDM, International Educational Data Mining Society (IEDMS), (2019)Multimodal Data Collection and Analysis of Collaborative Learning through an Intelligent Tutoring System., and . MMLA-CrossLAK@LAK, volume 1828 of CEUR Workshop Proceedings, page 47-52. CEUR-WS.org, (2017)Managing the Educational Dataset Lifecycle with DataShop., , , , , , , and . AIED, volume 6738 of Lecture Notes in Computer Science, page 557-559. Springer, (2011)