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Examples and Tutored Problems: How Can Self-Explanation Make a Difference to Learning?

, and . Artificial Intelligence in Education, volume 7926 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2013)
DOI: 10.1007/978-3-642-39112-5_35

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Examples and Tutored Problems: Adaptive Support Using Assistance Scores., , and . IJCAI, page 4317-4323. AAAI Press, (2015)Eye Tracking and Studying Examples: How Novices and Advanced Learners Study SQL Examples., , and . J. Comput. Inf. Technol., 23 (2): 171-190 (2015)A new model for health care e-insurance using credit points and Service Oriented Architecture (SOA)., and . iiWAS, page 548-551. ACM, (2009)Learning with intelligent tutors and worked examples: selecting learning activities adaptively leads to better learning outcomes than a fixed curriculum, , and . User Modeling and User-Adapted Interaction, 26 (5): 459--491 (Dec 1, 2016)Adaptive Support versus Alternating Worked Examples and Tutored Problems: Which Leads to Better Learning?, , and . UMAP, volume 8538 of Lecture Notes in Computer Science, page 171-182. Springer, (2014)The Effect of Interaction Granularity on Learning with a Data Normalization Tutor, , , and . Artificial Intelligence in Education, volume 7926 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2013)How should SE be supported - during problem-solving or seperately?, , and . AIED Workshops, volume 1009 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Utilizing Eye Tracking to Improve Learning from Examples., , and . HCI (5), volume 8514 of Lecture Notes in Computer Science, page 410-418. Springer, (2014)Examples and Tutored Problems: How Can Self-Explanation Make a Difference to Learning?, and . AIED, volume 7926 of Lecture Notes in Computer Science, page 339-348. Springer, (2013)Using Examples in Intelligent Tutoring Systems., and . ITS, volume 7315 of Lecture Notes in Computer Science, page 579-581. Springer, (2012)