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Xiaona Xia – Interactive Learning Environments, 2023
Effective analysis and demonstration of these data features is of great significance for the optimization of interactive learning environment and learning behavior. Therefore, we take the big data set of learning behavior generated by an online interactive learning environment as the research object, define the features of learning behavior, and…
Descriptors: Learning Strategies, Interaction, Educational Environment, Learning Analytics
Rozita Tsoni; Georgia Garani; Vassilios S. Verykios – Interactive Learning Environments, 2024
New challenges in education demand effective solutions. Although Learning Analytics (LA), Educational Data Mining (EDM) and the use of Big Data are often presented as a panacea, there is a lot of ground to be covered in order for the EDM to answer the real questions of educators. An important step toward this goal is to implement holistic…
Descriptors: Data Use, Distance Education, Learning Analytics, Educational Research
Prediction of Students' Early Dropout Based on Their Interaction Logs in Online Learning Environment
Mubarak, Ahmed A.; Cao, Han; Zhang, Weizhen – Interactive Learning Environments, 2022
Online learning has become more popular in higher education since it adds convenience and flexibility to students' schedule. But, it has faced difficulties in the retention of the continuity of students and ensure continual growth in course. Dropout is a concerning factor in online course continuity. Therefore, it has sparked great interest among…
Descriptors: Prediction, Dropouts, Interaction, Learning Analytics
Zhang, Jingjing; Gao, Ming; Holmes, Wayne; Mavrikis, Manolis; Ma, Ning – Interactive Learning Environments, 2021
Feedback in exploratory learning systems has been depicted as an important contributor to encourage exploration. However, few studies have explored learners' interaction patterns associated with feedback and the use of external representations in exploratory learning environments. This study used Fractions Lab, an exploratory learning environment…
Descriptors: Interaction, Behavior Patterns, Discovery Learning, Fractions
Zhang, Jia-Hua; Zou, Liu-cong; Miao, Jia-jia; Zhang, Ye-Xing; Hwang, Gwo-Jen; Zhu, Yue – Interactive Learning Environments, 2020
Extensive studies have been conducted to diagnose and predict students' academic performance by analyzing a large amount of data related to their learning behaviors in a blended learning environment. But there is a lack of research examining how individualized learning interventions could improve students' academic performance in such a learning…
Descriptors: Individualized Instruction, Academic Achievement, Interaction, Blended Learning