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Zeynab Mohseni; Italo Masiello; Rafael M. Martins; Susanna Nordmark – Journal of Learning Analytics, 2024
Visual Learning Analytics (VLA) uses analytics to monitor and assess educational data by combining visual and automated analysis to provide educational explanations. Such tools could aid teachers in primary and secondary schools in making pedagogical decisions, however, the evidence of their effectiveness and benefits is still limited. With this…
Descriptors: Learning Analytics, Visual Learning, Visualization, Intervention
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Ion Razvan Radulescu; Antonio Dinis; Benny Malengier; Andrej Cupar; Mirela Blaga; Radek Polansky – International Association for Development of the Information Society, 2022
Industry 4.0 and digitization are nowadays important trends in the textile industry. The need for well-prepared professionals in software for the design and modelling of textile products requires the creation of up-to-date educational resources. Virtual learning supported by e-learning offers the instruments to continue education during pandemic…
Descriptors: Foreign Countries, Online Courses, Computer Software, Design
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Talib, Pawan Asghar – Arab World English Journal, 2022
This research was carried out to add to the current literature on learning styles by explaining various understandings of the topic and the previous research on it. Studies and information on learning styles and strategies are abundant, and the need for more research stems from the recent move towards student-centered classes. This paper is an…
Descriptors: Undergraduate Students, Student Attitudes, Correlation, Cognitive Style