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Titlebook: Computer Supported Education; 13th International C Beno Csapó,James Uhomoibhi Conference proceedings 2022 Springer Nature Switzerland AG 20

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31#
發(fā)表于 2025-3-26 21:21:38 | 只看該作者
32#
發(fā)表于 2025-3-27 02:24:53 | 只看該作者
Lara Behrens,Christoph Moss,Mona Sadrowskiand correct them automatically in case of multiple-choice tests. Here we expand this capability with ., an automatic generator and corrector of exams that is free of charge and open source. Moreover, .?enables: (1) highly parametrized questions drawn from database; (2) inclusion of many question sty
33#
發(fā)表于 2025-3-27 06:32:19 | 只看該作者
A Paradox Named Limited Liabilityaluate whether a specific software or hardware tool supports active reading of academic texts. The aRSX is comprised of questions in five categories: . and ., as well as an open-ended question for additional comments. In this paper, we present our initial development of two beta-versions of the ques
34#
發(fā)表于 2025-3-27 10:29:28 | 只看該作者
The Later Years of Franco ModiglianiPhysics is around us everywhere. Young students should be taught the physics concepts from n early age. The goal of the work presented in the paper is to make Physics education more interactive and engaging through using an AR serious game. The game introduces the student to some physics concepts.
35#
發(fā)表于 2025-3-27 13:40:32 | 只看該作者
Towards the?Use of?Augmented Reality for?Physics EducationPhysics is around us everywhere. Young students should be taught the physics concepts from n early age. The goal of the work presented in the paper is to make Physics education more interactive and engaging through using an AR serious game. The game introduces the student to some physics concepts.
36#
發(fā)表于 2025-3-27 19:37:45 | 只看該作者
37#
發(fā)表于 2025-3-27 22:12:36 | 只看該作者
On the Behavioral Theory of the Firm,ate panorama of the topic and hence, help to choose an appropriate ML technique for KT in LM. This work is dedicated to MOOC designers/providers, pedagogical engineers and researchers who need an overview of existing ML techniques for KT in LM.
38#
發(fā)表于 2025-3-28 06:02:45 | 只看該作者
39#
發(fā)表于 2025-3-28 09:13:14 | 只看該作者
40#
發(fā)表于 2025-3-28 11:36:08 | 只看該作者
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