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Bertrand Schneider; Gahyun Sung – Journal of Learning Analytics, 2024
Over the last decade, the prevalence of online learning has dramatically increased. As part of their curriculum, students are expected to spend more and more time watching videos. These videos tend to follow a widespread format: a screen recording of slides with a picture-in-picture (PiP) image of the instructor's face. While this format is…
Descriptors: Visual Aids, Nonverbal Communication, Human Body, Computer Assisted Instruction
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Tria Anggraini; Hayuni Retno Widarti; Deni Ainur Rokhim – Journal of Educators Online, 2024
Analytical chemistry is one of the chemical materials that is considered difficult by students. The application of multi-representational proximity in delivering analytical chemistry material can make it easier for students to understand the material. The purpose of research and development is to produce Instagram- and TikTok-based learning media…
Descriptors: Social Media, Educational Media, Instructional Effectiveness, Technology Uses in Education
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Chen, Chih-Ming; Sun, Ying-Chun – Computers & Education, 2012
Multimedia materials are now increasingly used in curricula. However, individual preferences for multimedia materials based on visual and verbal cognitive styles may affect learners' emotions and performance. Therefore, in-depth studies that investigate how different multimedia materials affect learning performance and the emotions of learners…
Descriptors: Video Technology, Animation, Multimedia Materials, Learning Processes
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection