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Jennifer Scianna; Rogers Kaliisa – Educational Technology Research and Development, 2024
Educational researchers have pointed to socioemotional dimensions of learning as important in gaining a more nuanced description of student engagement and learning. However, to date, research focused on the analysis of emotions has been narrow in its focus, centering on affect and sentiment analysis in isolation while neglecting how emotions…
Descriptors: Computer Mediated Communication, Discussion, Discourse Analysis, Asynchronous Communication
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Ifenthaler, Dirk; Yau, Jane Yin-Kim – Educational Technology Research and Development, 2020
Study success includes the successful completion of a first degree in higher education to the largest extent, and the successful completion of individual learning tasks to the smallest extent. Factors affecting study success range from individual dispositions (e.g., motivation, prior academic performance) to characteristics of the educational…
Descriptors: Learning Analytics, Higher Education, Educational Research, Academic Achievement
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Blau, Ina; Shamir-Inbal, Tamar – Educational Technology Research and Development, 2021
Interactive features of the hyper-video environment, such as indexing, bookmarks, links to learning materials, multiple-choice questions, and personal and shared annotations, can enhance learning processes. This paper examines integration of the "Annoto" hyper-video platform in three large undergraduate courses (A, B & C) at a large…
Descriptors: Undergraduate Students, Writing (Composition), Documentation, Hypermedia
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Alzahrani, Asma Shannan; Tsai, Yi-Shan; Aljohani, Naif; Whitelock-wainwright, Emma; Gasevic, Dragan – Educational Technology Research and Development, 2023
Learning analytics (LA) has gained increasing attention for its potential to improve different educational aspects (e.g., students' performance and teaching practice). The existing literature identified some factors that are associated with the adoption of LA in higher education, such as stakeholder engagement and transparency in data use. The…
Descriptors: Teacher Attitudes, Trust (Psychology), Learning Analytics, Higher Education
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Jeong, Allan C. – Educational Technology Research and Development, 2020
Despite the last 40 years of research showing that computer-aided diagramming tools improve student learning, very little research reveals the cognitive processes that explain why and how diagramming tools and specific features of the tools affect learning. This study developed a tool that graduate students used to diagram and analyze arguments as…
Descriptors: Concept Mapping, Visual Aids, Persuasive Discourse, Thinking Skills
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Frick, Theodore W.; Myers, Rodney D.; Dagli, Cesur – Educational Technology Research and Development, 2022
In this naturalistic design-research study, we tracked 172,417 learning journeys of students who were interacting with an online resource, the Indiana University Plagiarism Tutorials and Tests (IPTAT) at https://plagiarism.iu.edu. IPTAT was designed using First Principles of Instruction (FPI; Merrill in Educ Technol Res Dev 50:43-59, 2002,…
Descriptors: Time, Educational Principles, Instructional Design, Instructional Effectiveness
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Han, Jeongyun; Huh, Sun Young; Cho, Young Hoan; Park, SoHyun; Choi, Jinhan; Suh, Bongwon; Rhee, Wonjong – Educational Technology Research and Development, 2020
This study investigates the possibility of utilizing online learning data to design face-to-face activities in a flipped classroom. We focus on heterogeneous group formation for effective collaborative learning. Fifty-three undergraduate students (18 males, 35 females) participated in this study, and 8 students (3 males, 5 females) among them…
Descriptors: Electronic Learning, Learning Analytics, Data Use, Synchronous Communication
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Valle, Natercia; Antonenko, Pavlo; Valle, Denis; Sommer, Max; Huggins-Manley, Anne Corinne; Dawson, Kara; Kim, Dongho; Baiser, Benjamin – Educational Technology Research and Development, 2021
Based on the achievement goal theory, this experimental study explored the influence of predictive and descriptive learning analytics dashboards on graduate students' motivation and statistics anxiety in an online graduate-level statistics course. Participants were randomly assigned into one of three groups: (1) predictive dashboard; (2)…
Descriptors: Online Courses, Graduate Students, Statistics Education, Anxiety
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van Leeuwen, Anouschka – Educational Technology Research and Development, 2019
The flipped classroom model is a form of blended learning in which delivery of content occurs with online materials, and face-to-face meetings are used for teacher-guided practice. It is important that teachers stay up to date with the activities students engage in, which may be accomplished with the help of learning analytics (LA). This study…
Descriptors: Teacher Attitudes, Usability, Learning Analytics, Blended Learning
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Herodotou, Christothea; Rienties, Bart; Boroowa, Avinash; Zdrahal, Zdenek; Hlosta, Martin – Educational Technology Research and Development, 2019
By collecting longitudinal learner and learning data from a range of resources, predictive learning analytics (PLA) are used to identify learners who may not complete a course, typically described as being at risk. Mixed effects are observed as to how teachers perceive, use, and interpret PLA data, necessitating further research in this direction.…
Descriptors: Prediction, Learning Analytics, Teacher Role, Teacher Attitudes