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Contextual Markup and Mining in Digital Games for Science Learning: Connecting Player Behaviors to Learning Goals.

, , , , , , , и . IEEE Trans. Learn. Technol., 10 (1): 93-103 (2017)

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S Fröhlich

S Danischewski

S Hüttelmaier

S Leopold

S Steinlechner

 

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Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution., и . EDM, стр. 57-64. www.educationaldatamining.org, (2012)Assessing Student Performance in a Computational-Thinking Based Science Learning Environment., , и . Intelligent Tutoring Systems, том 8474 из Lecture Notes in Computer Science, стр. 476-481. Springer, (2014)Mining Temporally-Interesting Learning Behavior Patterns., , и . EDM, стр. 252-255. International Educational Data Mining Society, (2013)CTSiM: A Computational Thinking Environment for Learning Science through Simulation and Modeling., , , , и . CSEDU, стр. 369-378. SciTePress, (2013)Coordination of Planning and Scheduling Techniques for a Distributed, Multi-level, Multi-agent System., , , и . ICAART (2), стр. 184-191. INSTICC Press, (2010)Relating Student Performance to Action Outcomes and Context in a Choice-Rich Learning Environment., , и . ITS, том 7315 из Lecture Notes in Computer Science, стр. 505-510. Springer, (2012)Teaching Computational Thinking Skills in C3STEM with Traffic Simulation., , , , , , и . CHI-KDD, том 7947 из Lecture Notes in Computer Science, стр. 350-357. Springer, (2013)An Integrated Planning and Adaptive Resource Management Architecture for Distributed Real-Time Embedded Systems., , , , , и . IEEE Trans. Computers, 58 (11): 1485-1499 (2009)A Differential Temporal Interestingness Measure for Identifying the Learning Behavior Effects of Scaffolding., , и . AIED Workshops, том 1009 из CEUR Workshop Proceedings, CEUR-WS.org, (2013)Adaptive Multi-Agent Architecture to Track Students' Self-Regulated Learning., , , , , и . AIED Workshops, том 1009 из CEUR Workshop Proceedings, CEUR-WS.org, (2013)