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Sun, Geng; Lin, Jiayin; Shen, Jun; Cui, Tingru; Xu, Dongming; Kayastha, Mahesh – British Journal of Educational Technology, 2020
Improving both the quantity and quality of existing data are placed at the center of research for adaptive micro open learning. To cover this research gap, our work targets on the current scarcity of both data and rules that represent open learning activities. An evolutionary rule generator is constructed, which consists of an outer loop and an…
Descriptors: Learning Activities, Data Analysis, Open Education, Computer Software
Araka, Eric; Oboko, Robert; Maina, Elizaphan; Gitonga, Rhoda – International Review of Research in Open and Distributed Learning, 2022
With the increased emphasis on the benefits of self-regulated learning (SRL), it is important to make use of the huge amounts of educational data generated from online learning environments to identify the appropriate educational data mining (EDM) techniques that can help explore and understand online learners' behavioral patterns. Understanding…
Descriptors: Data Analysis, Metacognition, Comparative Analysis, Behavior Patterns
Bowers, Jonathan; Eidin, Emanuel; Stephens, Lynn; Brennan, Linsey – Journal of Science Education and Technology, 2023
Interpreting and creating computational systems models is an important goal of science education. One aspect of computational systems modeling that is supported by modeling, systems thinking, and computational thinking literature is "testing, evaluating, and debugging models." Through testing and debugging, students can identify aspects…
Descriptors: Computer Science Education, Systems Approach, Thinking Skills, Science Education
Wu, Wen-Chi; Lin, I.-Ting; Chen Hsieh, Jun – Asia-Pacific Education Researcher, 2023
The knowledge of English idioms is essential for advanced English learning and application, particularly for English-as-a-foreign-language (EFL) learners. While studies have shown the benefits of mobile-assisted language learning (MALL) to facilitate English learning, few studies have examined the factors that may influence MALL in light of…
Descriptors: Foreign Countries, English, Language Patterns, Learning Modalities
Tekin, Isil; Aydin, Selami – International Journal of Adult Education and Technology, 2022
Well-being is vital for university students regarding their short-term aims and long-term benefits in their academic, social, and professional lives. It is also evident that Instagram usage may relate to their well-being regarding relationships, connectedness, loneliness, interactions, socialization, social comparison, and emotional contagion.…
Descriptors: Well Being, Social Media, Student Behavior, Undergraduate Students
Zhou, Yiqiu; Kang, Jina – International Educational Data Mining Society, 2022
The complex and dynamic nature of collaboration makes it challenging to find indicators of productive learning and quality collaboration. This exploratory study developed a collaboration metric to capture temporal patterns of joint attention (JA) based on log files generated as students interacted with an immersive astronomy simulation using…
Descriptors: Astronomy, Problem Solving, Science Instruction, Cooperative Learning
Lai, Song; Sun, Bo; Wu, Fati; Xiao, Rong – IEEE Transactions on Learning Technologies, 2020
Adaptive e-learning can be used to personalize learning environment for students to meet their individual demands. Individual differences depend on the students' personality traits. Numerous studies have indicated that understanding the role of personality in the learning process can facilitate learning. Hence, personality identification in…
Descriptors: Personality Traits, Electronic Learning, Individual Differences, Learning Processes
Grey, Simon; Gordon, Neil – New Directions in the Teaching of Physical Sciences, 2018
In this paper, we argue that, where we measure student attendance, this creates an extrinsic motivator in the form of a reward for (apparent) engagement and can thus lead to undesirable behaviour and outcomes. We go on to consider a number of other mechanisms to assess or encourage student engagement -- such as interactions with a learning…
Descriptors: Attendance, Measurement, Learner Engagement, Student Behavior
Liao, Yi-Wen; Huang, Yueh-Min; Huang, Shu-Hsien; Chen, Hsin-Chin; Wei, Chun-Wang – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Social media or social networking sites have been used to support online learning with good interactive features. If an existing system can retain current users and attract new users, it can provide greater benefits and influence in the field of online learning. However, most previous studies focus on learner participation intention, and rarely…
Descriptors: Social Networks, Social Media, Online Courses, Models
Lee, Woon Jee – ProQuest LLC, 2012
The purpose of this study was to explore the nature of students' mapping and discourse behaviors while constructing causal maps to articulate their understanding of a complex, ill-structured problem. In this study, six graduate-level students were assigned to one of three pair groups, and each pair used the causal mapping software program,…
Descriptors: Student Behavior, Graduate Students, Maps, Computer Uses in Education

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