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Wenming Wang; Guijiang Liu; Deyang Liu; Youzhi Zhang – International Journal of Information and Communication Technology Education, 2025
With the rapid development of information technology, the internet has emerged as a pivotal driving force in reshaping higher education paradigms. This paper delves into clustering algorithms and proposes an enhanced version, exploring how this enhanced clustering algorithm can be applied to blended teaching of digital electronic technology…
Descriptors: Algorithms, Blended Learning, Educational Technology, Internet
Carolyn L. Ross – ProQuest LLC, 2024
COVID-19 had a significant impact on adolescents. Local governments mandated schools to cancel in-person schooling for the first time in history due to the heightened exposure to the coronavirus. The shift to virtual learning during the COVID-19 pandemic removed students from the supportive academic and social environment of the physical school…
Descriptors: COVID-19, Pandemics, School Closing, Distance Education
Jamie M. Chen; Limin Zhang; Supavich Pengnate; Emily Ma; Xi Yu Leung – Journal of Information Systems Education, 2025
Although e-learning is considered one of the leading teaching methods in higher education, both learners and instructors face significant challenges owing to reduced social interaction compared with traditional classroom learning. In this study, we explore the leveraging of recent developments in generative artificial intelligence (AI) and create…
Descriptors: Artificial Intelligence, Computer Uses in Education, Electronic Learning, Learner Engagement
Shuang Li; Jingxi Chen; Sizhuo Liu – Journal of Computer Assisted Learning, 2024
Background: Enhancing the effectiveness of online learning has become a key challenge with regard to the ability of blended learning to reach its full potential. However, mechanisms by which students' self-regulated learning (SRL) skills influence their online learning engagement in blended learning and subsequent learning achievement have yet to…
Descriptors: Blended Learning, Elementary Secondary Education, Self Management, Self Evaluation (Individuals)
Istijanto – Quality Assurance in Education: An International Perspective, 2023
Purpose: This study aims to explore and compare the approach and avoidance factors in motivating students to study using three different learning methods--face-to-face learning, online learning and hybrid learning. Design/methodology/approach: This research uses in-depth online interviews to gain insights from students. Purposive sampling was…
Descriptors: Foreign Countries, College Students, In Person Learning, Electronic Learning
Meng, Xiangju; Hu, Zhenfang – Quality Assurance in Education: An International Perspective, 2023
Purpose: This paper aims to use a quantitative approach to explore the role of online learning behavior in students' academic performance during the COVID-19 pandemic. Specifically, the authors probe its mediating effect in the relationship between student motivation (extrinsic and intrinsic) and academic performance in a blended learning context.…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, COVID-19
Han, Feifei; Ellis, Robert A.; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2022
This article uses digital traces to help identify students' online learning strategies by making a clear distinction between the descriptive features (the proportional distribution of students' different online learning actions) and quantitative aspects (the total number of the online learning sessions), a distinction that has not been properly…
Descriptors: Electronic Learning, Learning Strategies, Student Behavior, Educational Environment
Kortemeyer, Gerd; Dittmann-Domenichini, Nora; Schlienger, Claudia; Spilling, Ekkehard; Yaroshchuk, Alina; Dissertori, Günther – International Journal of Educational Technology in Higher Education, 2023
As a consequence of the COVID-19 pandemic, most courses at a large technical university were adapted so that students had a free choice of whether to attend lectures on-site or online; in addition, in many courses, lecture recordings were available. At the subsequent exam session, over 17,000 student-survey responses were collected regarding…
Descriptors: Lecture Method, In Person Learning, Blended Learning, Electronic Learning
Crossette, Nathan; Carr, Lincoln D.; Wilcox, Bethany R. – Physical Review Physics Education Research, 2023
Social network analysis (SNA) has been gaining traction as a technique for quantitatively studying student collaboration. We analyze networks, constructed from student self-reports of collaboration on homework assignments, in two courses from the University of Colorado Boulder and one course from the Colorado School of Mines. All three courses…
Descriptors: Social Networks, Cooperation, Student Behavior, Homework
Agus Supriyanto; Anwar Sutoyo; Mulawarman; Amien Wahyudi – Pegem Journal of Education and Instruction, 2024
Students at school need to develop a character of responsibility in learning discipline (Re-LeaD) after the COVID-19 pandemic (CV-19P), or face-to-face meetings (FTF) are a concern. The character of Re-LeaD as a form of student success in the future. Aims to research determine the individual blended counselling model of the behaviouristic…
Descriptors: Computer Mediated Communication, Health Services, COVID-19, Pandemics
Alotumi, Mohialdeen – Education and Information Technologies, 2022
Blended learning combines face-to-face instruction and online learning experiences. It capitalizes on online learning management systems, one of which is Google Classroom (GC). Nevertheless, empirical investigations have mirrored literature gaps in understanding how the GC platform affects students' behavioral intention to harness it for web-based…
Descriptors: Graduate Students, Student Behavior, Intention, Electronic Learning
Mostafa, Iman; Kakarougkas, Andreas – Biochemistry and Molecular Biology Education, 2023
Higher education has been significantly affected by the COVID-19 pandemic, disrupting universities worldwide. Unexpectedly, the global academic community was forced to transition to remote and online learning. In many cases, fragilities in the systems of the higher education institutions were exposed, pointing to the need for investment in…
Descriptors: Higher Education, Blended Learning, Flipped Classroom, COVID-19
Xu, Zhuojia; Yuan, Hua; Liu, Qishan – IEEE Transactions on Education, 2021
Contribution: This article explored blended learning by implementing a student-centered teaching method based on the flipped classroom and small private online course (SPOC). The impact of general online learning behavior on student performance was analyzed. This work is practical and provides enlightenment for learning analysis and individualized…
Descriptors: Academic Achievement, Blended Learning, Prediction, Performance Factors
Lin, Chi-Syan; Lin, Cheng-Ying – Journal on School Educational Technology, 2021
This study aimed to empirically investigate the online learning behavior of pupils in terms of learning engagement by incorporating four blended project-based learning (PBL) courses. Over 700 pupils from various countries participated in the empirical study for 10 weeks in 2019 through the Internet. Results of the study revealed that the overall…
Descriptors: Learner Engagement, Electronic Learning, Educational Environment, Student Behavior
Dieter, Kevin C.; Studwell, Jamie; Vanacore, Kirk P. – International Educational Data Mining Society, 2020
Educators are increasingly embracing personalization in online and blended learning programs as a means of focusing students' investment of time and energy into learning plans that are best tailored to their individual needs. When personalized learning tools are deployed into structured learning environments like schools, however, educators and…
Descriptors: Individualized Instruction, Student Behavior, Time Management, Reading Programs

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