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Xiaona Xia; Wanxue Qi – European Journal of Education, 2025
Massive Open Online Courses (MOOCs) effectively support online learning behaviour; while constructing a sustainable learning process, MOOCs have also formed the social network. In addition, learners' burnout state has become a serious obstacle to the development and promotion of MOOCs. This study analyzes the potential social behaviour associated…
Descriptors: MOOCs, Burnout, Social Behavior, Feedback (Response)
Sourav Choudhury; Nikita Ruth D’cruz; Joy Prakash Deb; Samiul Biswas; Sandeep Dagdu Patil – Journal of Interdisciplinary Studies in Education, 2025
The study aimed at exploring the relationship between social media disorder and academic procrastination, and to thereby investigate the mediating effects of intrusive thinking and fatigue. By enrolling 412 undergraduate college students in India, the interconnectedness of the four variables was investigated using Social Media Disorder scale by…
Descriptors: Foreign Countries, Undergraduate Students, Social Media, Student Motivation
Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
Özge Gün; Safure Bulut – International Journal of Psychology and Educational Studies, 2023
Based on a multidimensional definition of attitude, this study tested a second-order factor model of attitude toward mathematics using data from 1960 7th-grade students. This study found that students' attitudes toward mathematics are identified with cognitive, affective, and behavioral factors. This study confirmed three hypotheses: the cognitive…
Descriptors: Correlation, Student Attitudes, Factor Analysis, Mathematics Anxiety
Azman Ong, Mohd Hanafi; Mohd Yasin, Norazlina; Ibrahim, Nur Syafikah – Asian Association of Open Universities Journal, 2022
Purpose: Measuring internal response of online learning is seen as fundamental to absorptive capacity which stimulates knowledge assimilation. However, the evaluation of practice and research of validated instruments that could effectively measure online learning response behavior is limited. Thus, in this study, a new instrument was designed…
Descriptors: Online Courses, Student Surveys, Student Attitudes, Factor Analysis
Jennie K. Grammer; Keye Xu; Agatha Lenartowicz – npj Science of Learning, 2021
Activities that are effective in supporting attention have the potential to increase opportunities for student learning. However, little is known about the impact of instructional contexts on student attention, in part due to limitations in our ability to measure attention in the classroom, typically based on behavioral observation and…
Descriptors: Correlation, Classroom Environment, Attention Control, Diagnostic Tests
Rosar, Michaela; Weidlich, Joshua – Research and Practice in Technology Enhanced Learning, 2022
Creativity is an increasingly recognized construct in technology-enhanced learning. However, our understanding of how creativity interacts with the design of online learning environments to affect learning experiences is still limited. For example, do creative students benefit from different learning environment designs than those benefitting…
Descriptors: Online Courses, Creativity, Independent Study, Personality Traits
Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals
Steven Moore; Huy Anh Nguyen; John Stamper – Grantee Submission, 2021
While generating multiple-choice questions has been shown to promote deep learning, students often fail to realize this benefit and do not willingly participate in this activity. Additionally, the quality of the student-generated questions may be influenced by both their level of engagement and familiarity with the learning materials. Towards…
Descriptors: Multiple Choice Tests, Learning Processes, Learner Engagement, Familiarity
Wan, Han; Zhong, Zihao; Tang, Lina; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2023
Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…
Descriptors: Online Courses, Learning Management Systems, Higher Education, Student Behavior
Clark, Caron A. C.; Helikar, Tomáš; Dauer, Joseph – CBE - Life Sciences Education, 2020
The creation and analysis of models is integral to all scientific disciplines, and modeling is considered a core competency in undergraduate biology education. There remains a gap in understanding how modeling activities may support changes in students' neural representations. The aim of this study was to evaluate the effects of simulating a model…
Descriptors: Computer Simulation, Brain Hemisphere Functions, Undergraduate Students, Biology
Chen, Weiyu; Brinton, Christopher G.; Cao, Da; Mason-Singh, Amanda; Lu, Charlton; Chiang, Mung – IEEE Transactions on Learning Technologies, 2019
We study learning outcome prediction for online courses. Whereas prior work has focused on semester-long courses with frequent student assessments, we focus on short-courses that have single outcomes assigned by instructors at the end. The lack of performance data and generally small enrollments makes the behavior of learners, captured as they…
Descriptors: Online Courses, Outcomes of Education, Prediction, Course Content
Dar, Wahid Ahmad; Jan, Kounsar – International Journal of Virtual and Personal Learning Environments, 2022
COVID-19 taught us the importance of personalized ICT use in the higher education context. In this scenario, the importance of researching student's ICT behaviour is becoming ever more crucial. This study investigates the influence of student alienation (SAL), socio-economic status, residential background, type of course, and gender on students'…
Descriptors: Correlation, Student Behavior, Alienation, Information Technology
Barbieri, Christina A.; Rodrigues, Jessica; Dyson, Nancy; Jordan, Nancy C. – Journal of Educational Psychology, 2020
The effectiveness of an experimental middle school fraction intervention was evaluated. The intervention was centered on the number line and incorporated key principles from the science of learning. Sixth graders (N = 51) who struggled with fraction concepts were randomly assigned at the student level to the experimental intervention (n = 28) or…
Descriptors: Fractions, Mathematics Instruction, Intervention, Mathematical Concepts
Holquist, Samantha E.; Cetz, Jared; O'Neil, Santiago D.; Smiley, Dana; Taylor, Laney M.; Crowder, Marisa K. – McREL International, 2020
Approximately 40 to 60 percent of America's high school students are chronically disengaged (i.e., inattentive, exert little to no effort, do not complete tasks, and claim to be bored; National Research Council and Institute of Medicine, 2004). Disengagement is so widespread that it has been labeled the "Silent Epidemic" (Bridgeland et…
Descriptors: Learning Processes, Learner Engagement, High School Students, Student Attitudes

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