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Kim, Hodam; Chae, Younsoo; Kim, Suhye; Im, Chang-Hwan – IEEE Transactions on Learning Technologies, 2023
Owing to the rapid development of information and communication technologies, online or mobile learning content is widely available on the Internet. Unlike traditional face-to-face learning, online learning exhibits a critical limitation: real-time interactions between learners and teachers are generally not feasible in online learning. To…
Descriptors: College Students, Control Groups, Attention, Comprehension
Tang, Hengtao; Dai, Miao; Yang, Shuoqiu; Du, Xu; Hung, Jui-Long; Li, Hao – Distance Education, 2022
The purpose of this research was to apply multimodal learning analytics in order to systemically investigate college students' attention states during their collaborative problem-solving (CPS) in online settings. Existing research on CPS relies on self-reported data, which limits the validity of the findings. This study looked at data in a…
Descriptors: Learning Analytics, College Students, Attention, Cooperative Learning
Epler-Ruths, Colleen M.; McDonald, Scott; Pallant, Amy; Lee, Hee-Sun – Cognitive Research: Principles and Implications, 2020
This article represents the findings from the qualitative portion of a mixed methods study that investigated the impact of middle school students' spatial skills on their plate tectonics learning while using a computer visualization. Higher spatial skills have been linked to higher STEM achievement, while use of computer visualizations has mixed…
Descriptors: Spatial Ability, Middle School Students, Plate Tectonics, STEM Education
Tan, Sabine; Wiebrands, Michael; O'Halloran, Kay; Wignell, Peter – Technology, Pedagogy and Education, 2020
This paper presents the findings from a case study which explores how students engage with learning materials mediated through 360-degree panoramic videos. The case study extends findings from a project which developed an online platform for viewing and annotating 360-degree videos, and for providing data analytics (heatmaps, viewpoint tracking…
Descriptors: Learner Engagement, Video Technology, Learning Analytics, Instructional Materials
Eger, Ludvík – Knowledge Management & E-Learning, 2018
The article describes a pre-experimental research study that focuses on learning objects. Web objects that capture the attention of users and that characterize the content of a website were examined. The main goal was to identify the most relevant design of three web objects by using the eye-tracking tool Areas of Interest and feedback questioning…
Descriptors: Web Sites, Eye Movements, Electronic Learning, Learning Analytics

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