Titlebook: Intelligent Tutoring Systems; 13th International C Alessandro Micarelli,John Stamper,Kitty Panourgia Conference proceedings 2016 Springer I

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思想上升

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Estimating Individual Differences for Student Modeling in Intelligent Tutors from Reading and PretesKT individualizes parameter estimates for skills, also referred to as knowledge components (KCs), but not for students. Studies deriving individual student parameters from the data logs of student tutor performance have shown improvements to the standard BKT model fits, and result in different pract

stress-response

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CRANK

Flagging

The Bright and Dark Sides of Gamificationng the benefits of gamification in learning environments, i.e. looking into the bright side of it, several issues can hinder learning because of gamification. Nevertheless, it seems that only few researchers are discussing the dark side of using gamification in learning environments and how to overc

FADE

Behavior Changes Across Time and Between Populations in Open-Ended Learning Environmentsrning (SRL) and problem solving skills. In this study, middle school students used the . OELE to build causal models to learn about climate science. We study their learning and model building approaches by calculating a suite of behavioral metrics derived using . (CA) that are used as features on wh

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桶去微染

stored in the hospital databases all over the country. The purpose of this study is to collect PET/CT images of healthy Chinese people and construct digital atlases of trunk region based on a relatively large sample set. Compared to the traditional digital human atlases built from cryosection image