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Showing 1 to 15 of 618 results Save | Export
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Shanshan Shang; Tianyun Yi; Wenfei Lyv – Asia Pacific Education Review, 2025
Promoting continuous learning behavior is a key challenge for online learning. The present paper empirically examines the effects of course network characteristics including course network size, course network diversity, and course strong ties on continuance behavior, considering the moderating impacts of social learning and social exposure.…
Descriptors: Electronic Learning, Foreign Countries, MOOCs, Student Behavior
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Tamisha Thompson; Jennifer St. John; Siddhartha Pradhan; Erin Ottmar – Journal of Computer Assisted Learning, 2025
Background: Educational technologies typically provide teachers with analytics regarding student proficiency, but few digital tools provide teachers with process-based information about students' variable problem-solving strategies as they solve problems. Utilising design thinking and co-designing with teachers can provide insight to researchers…
Descriptors: Mathematics Instruction, Educational Technology, Problem Solving, Instructional Design
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Yael Yossel-Eisenbach; Aleksandra Gerkerova; Nitza Davidovitch – European Educational Researcher, 2025
The increasing reliance on digital technologies in higher education has significantly transformed teaching and learning practices, highlighting the distinct roles of research- and teaching-oriented faculty in digital pedagogy. Researchoriented faculty contribute to active digital learning by promoting critical thinking, problem-solving, and…
Descriptors: College Faculty, Teaching Methods, Learning Experience, Electronic Learning
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Zahrotush Sholikhah; Wiwiek Rabiatul Adawiyah; Bambang Agus Pramuka; Eka Pariyanti – Journal of International Education in Business, 2024
Purpose: Although the academic literature provides extensive insight into the motivations for the unethical use of information technology in online classes, little is known about how perceived justice, the opportunity to cheat and spiritual legitimacy mitigate unethical behavior among young academics. The purposes of this study are two folds:…
Descriptors: Cheating, Electronic Learning, Student Behavior, Religious Factors
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Emine Cabi – Education and Information Technologies, 2025
Learning Management System (LMS) can track student interactions with digital learning resources during an online learning activity. Learners with different goals, motivations and preferences may exhibit different behaviours when accessing these materials. These different behaviours may further affect their learning performance. The purpose of this…
Descriptors: Academic Achievement, Electronic Learning, Learning Management Systems, Student Behavior
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Francisco Pitthan; Kristof De Witte – Education and Information Technologies, 2025
Despite the potential for personalized learning, e-learning courses often suffer from low completion rates. In order to address this issue, we propose and empirically test a theoretical mechanism that examines how gamification can enhance the completion rate in adaptive learning courses by promoting a more positive behavioral response and attitude…
Descriptors: Gamification, Student Behavior, Student Attitudes, Financial Education
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Chrispus Zacharia Oroni; Fu Xianping; Daniela Daniel Ndunguru; Arsenyan Ani – Education and Information Technologies, 2025
In recent times, the rapid growth of e-learning has brought about increased concerns regarding cybersecurity risks within digital learning environments. Despite the growing importance of cybersecurity awareness among e-learning students, there is limited research on the factors that influence students' understanding and adherence to cyber safety…
Descriptors: Educational Technology, Electronic Learning, Information Security, Knowledge Level
Raphaëlle Aulagnon; Julian Cristia; Santiago Cueto; Ofer Malamud – National Bureau of Economic Research, 2025
We examine whether highlighting streaks--instances of repeated and consecutive behavior when completing learning tasks--encourages 4th to 6th grade students in Peru to increase their use of an online math platform and improve learning. 60,000 students were randomly assigned to receive messages that (i) highlighted streaks, (ii) provided…
Descriptors: Foreign Countries, Student Behavior, Grade 4, Grade 5
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Kerstin Huber; Maria Bannert – Journal of Computing in Higher Education, 2024
The empirical study investigates what log files and process mining can contribute to promoting successful learning. We want to show how monitoring and evaluation of learning processes can be implemented in the educational life by analyzing log files and navigation behavior. Thus, we questioned to what extent log file analyses and process mining…
Descriptors: Learning Processes, Data Analysis, Navigation (Information Systems), Student Behavior
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Shuanghong Shen; Qi Liu; Zhenya Huang; Yonghe Zheng; Minghao Yin; Minjuan Wang; Enhong Chen – IEEE Transactions on Learning Technologies, 2024
Modern online education has the capacity to provide intelligent educational services by automatically analyzing substantial amounts of student behavioral data. Knowledge tracing (KT) is one of the fundamental tasks for student behavioral data analysis, aiming to monitor students' evolving knowledge state during their problem-solving process. In…
Descriptors: Student Behavior, Electronic Learning, Data Analysis, Models
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Peijian Paul Sun; Zeqi Ren; Xian Zhao – Journal of Computer Assisted Learning, 2025
Background: Student engagement has been conceptualised and operationalised in various learning environments. However, there is currently a lack of established scales to measure student engagement in synchronous online learning. One possible reason is the existence of the conceptual and structural ambiguity regarding student engagement. Objective:…
Descriptors: Student Participation, Second Language Learning, Synchronous Communication, Electronic Learning
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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
Hiba M. Cheema – ProQuest LLC, 2023
The purpose of this study is to evaluate the efficacy of two virtual prerecorded trainings. Training 1 is a three-hour training titled "Basics of Classroom Behavior Management." Training 2 is a 10-hour training titled "Behavior Reduction." Evidence of implementation was confirmed by direct observations of teacher and student…
Descriptors: Behavior Modification, Faculty Development, Classroom Techniques, Teacher Behavior
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Li Feng; Xiaoqing Shen; Zhaoyuan Xie; Xiaohui Yan – Education and Information Technologies, 2025
Gamification mechanisms have been increasingly integrated into educational environments to enhance learner's engagement and improve the effectiveness of online courses. However, the precise effects of gamification on learner's engagement, including the factors that influence this behavior, remain under-explored. This study addresses this gap by…
Descriptors: Gamification, Electronic Learning, Learner Engagement, Student Motivation
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Fu Chen; Shan Li; Lijia Lin; Xiaoshan Huang – Education and Information Technologies, 2024
Social annotation plays a crucial role in nurturing and sustaining a collaborative reading community, offering the potential to enhance students' motivation and performance within socially supportive learning environments. Nonetheless, research on the dynamic changes in student engagement in social annotation remains limited. This study aims to…
Descriptors: Computer Mediated Communication, Documentation, Undergraduate Students, Reading Assignments
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