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Titlebook: Computer Supported Education; 12th International C H. Chad Lane,Susan Zvacek,James Uhomoibhi Conference proceedings 2021 The Editor(s) (if

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41#
發(fā)表于 2025-3-28 16:42:25 | 只看該作者
42#
發(fā)表于 2025-3-28 21:04:55 | 只看該作者
43#
發(fā)表于 2025-3-29 02:14:20 | 只看該作者
44#
發(fā)表于 2025-3-29 05:00:09 | 只看該作者
https://doi.org/10.1007/978-981-10-3367-4 new and innovative forms of testing that can complement or in some cases fully replace conventional ones. In the context of testing students’ clinical knowledge in some subjects, one of the methods used is Objective Structured Clinical Examination (OSCE). This method is very effective despite the h
45#
發(fā)表于 2025-3-29 07:21:47 | 只看該作者
https://doi.org/10.1007/978-981-10-3367-4s. When interdisciplinary projects and real-world problems are combined students are required to use their creativity, academical knowledge and exert interdisciplinary thinking. To develop students’ talents creating community and offer freedom of choice in their ways of working are seen as very bene
46#
發(fā)表于 2025-3-29 14:28:33 | 只看該作者
47#
發(fā)表于 2025-3-29 18:15:46 | 只看該作者
https://doi.org/10.1057/9781137011459kills, known as 21st-century skills, include critical thinking, teamwork, communication, among others. Currently, there are several proposals on how to integrate the learning of these skills in K-12 through the teaching of computing. Yet, assuming that teaching computing can contribute to the learni
48#
發(fā)表于 2025-3-29 23:16:01 | 只看該作者
49#
發(fā)表于 2025-3-30 02:43:30 | 只看該作者
Frontiers in Electronic Testingputational thinking with Elementary school students. Also, a reliable way for students to start solving real-life problems, stimulating the capacity for abstraction through simulated and experienced practice.
50#
發(fā)表于 2025-3-30 07:06:51 | 只看該作者
Participation in Asynchronous Online Forums for Prediction of Learning Performance,tify as a result the best combination of features extracted from the graph for predicting the success or failure for individual students. The techniques are not computationally expensive, and can be used over a reduced dataset for having early estimates.
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