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Measuring Implicit Science Learning with Networks of Player-Game Interactions.

, , , , , , и . CHI PLAY, стр. 499-504. ACM, (2015)

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Erich Teonniessen

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Другие публикации лиц с тем же именем

Exploring Problem-Solving Behavior in an Optics Game., , , , , и . EDM, стр. 584-585. International Educational Data Mining Society (IEDMS), (2015)Validating Game-based Measures of Implicit Science Learning., , , , , , и . EDM, стр. 490-495. International Educational Data Mining Society (IEDMS), (2016)Assessing implicit science learning in digital games., , , , , , , и . Comput. Hum. Behav., (2017)Inclusive VR through Inclusive Co-Design with Neurodiverse Learners., , , , , , и . iLRN, стр. 1-5. IEEE, (2021)Including Neurodiversity in Foundational and Applied Computational Thinking (INFACT)., , , , , , и . SIGCSE (2), стр. 1076. ACM, (2022)Challenging games help students learn: An empirical study on engagement, flow and immersion in game-based learning., , , , , и . Comput. Hum. Behav., (2016)Using game analytics to evaluate puzzle design and level progression in a serious game., , , , , и . LAK, стр. 440-448. ACM, (2016)Measuring Implicit Science Learning with Networks of Player-Game Interactions., , , , , , и . CHI PLAY, стр. 499-504. ACM, (2015)