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Gredler, Joseph J. – International Journal of Teaching and Learning in Higher Education, 2018
Misalignment between student preferences and instructor practices regarding writing feedback may impede student learning. This sequential explanatory mixed-methods study addressed postsecondary online students' preferences and the reasons for their preferences. A survey was used to collect 93 responses from postsecondary students attending a large…
Descriptors: Postsecondary Education, College Students, Preferences, Private Colleges
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Wan, Han; Liu, Kangxu; Yu, Qiaoye; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2019
Most educational institutions adopted the hybrid teaching mode through learning management systems. The logging data/clickstream could describe learners' online behavior. Many researchers have used them to predict students' performance, which has led to a diverse set of findings, but how to use insights from captured data to enhance learning…
Descriptors: Educational Practices, Learner Engagement, Identification, Study Habits
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Trotskovsky, E.; Sabag, N. – Research in Science & Technological Education, 2015
Background: Learning processes are usually characterized by students' misunderstandings and misconceptions. Engineering educators intend to help their students overcome their misconceptions and achieve correct understanding of the concept. This paper describes a misconception in digital systems held by many students who believe that combinational…
Descriptors: Misconceptions, Case Studies, Information Systems, Engineering Technology
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Jiang, Jiahong; Yu, Yibing – International Journal of Information and Communication Technology Education, 2014
English writing, an indispensable skill in English learning, plays an important role in improving learners' language proficiency. With the wide spread and use of wired or wireless internet, EFL students can easily help and be helped with English writing. Therefore, the application of internet-based peer feedback training on writing to foreign or…
Descriptors: Instructional Effectiveness, Internet, Peer Evaluation, Feedback (Response)
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis