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Adaptive item-based learning environments based on the item response theory: possibilities and challenges.

, , and . J. Comput. Assist. Learn., 26 (6): 549-562 (2010)

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Adaptive item-based learning environments based on the item response theory: possibilities and challenges., , and . J. Comput. Assist. Learn., 26 (6): 549-562 (2010)Item difficulty estimation: An auspicious collaboration between data and judgment., , and . Comput. Educ., 58 (4): 1183-1193 (2012)Towards measuring cognitive load through multimodal physiological data., , , , , , , and . Cogn. Technol. Work., 23 (3): 567-585 (2021)Psychometrics of MOOCs: Measuring Learners' Proficiency, , and . Psychologica Belgica, 60 (1): 115--131 (2020)Comparing Usage in and Between Primary and Secondary Schools for a Blended TEL Portal., , and . EC-TEL, volume 12884 of Lecture Notes in Computer Science, page 300-304. Springer, (2021)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)Information seeking in secondary schools: A multilevel network approach., , , , and . Soc. Networks, (2017)Cognitive support for assembly operations by means of augmented reality: an exploratory study., , , , , and . Int. J. Hum. Comput. Stud., (2020)Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems., , , , , and . Comput. Educ., (2019)Investigating the Use of Deep Learning and Implicit Feedback in K12 Educational Recommender Systems., , and . IEEE Trans. Learn. Technol., (2024)