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Showing 1 to 15 of 18 results Save | Export
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Marc Denojean-Mairet; Sonsoles López-Pernas; Friday Joseph Agbo; Matti Tedre – Smart Learning Environments, 2024
The study aimed to perform a literature review to identify the trends, impacts, and challenges associated with the integration of microlearning and social media. A total of seven academic databases were used as sources for searching: Scopus, Web of Science, ACM, EBSCOhost, PubMed, ProQuest, and IEEE. A combination of keywords related to…
Descriptors: Literature Reviews, Social Media, Time on Task, Learner Engagement
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Nina Bergdahl; Melissa Bond; Jeanette Sjöberg; Mark Dougherty; Emily Oxley – International Journal of Educational Technology in Higher Education, 2024
Educational outcomes are heavily reliant on student engagement, yet this concept is complex and subject to diverse interpretations. The intricacy of the issue arises from the broad spectrum of interpretations, each contributing to the understanding of student engagement as both complex and multifaceted. Given the emergence and increasing use of…
Descriptors: Learner Engagement, College Students, Student Behavior, Educational Technology
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Ricardo Böheim; Jennifer E. Symonds – Frontline Learning Research, 2025
In recent years, there has been a strong call for more fine-grained analyses of student engagement to better capture its nature as a situated, momentary phenomenon. This special issue aims to promote cross-disciplinary discussions about the complex processes involved in students' momentary engagement and learning situated in classroom contexts.…
Descriptors: Learner Engagement, Classroom Environment, Interdisciplinary Approach, Situated Learning
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Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Hyunju Oh – British Journal of Educational Technology, 2025
Mathematical stories can enhance students' motivation and interest in learning mathematics, thereby positively impacting their academic performance. However, due to resource constraints faced by the creators, generative artificial intelligence (GAI) is employed to create mathematical stories accompanied by images. This study introduces a method…
Descriptors: Mathematics Education, Story Telling, Readability, Artificial Intelligence
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Hyun-Bin Hwang; Matthew D. Coss; Shawn Loewen; Kaitlyn M. Tagarelli – Studies in Second Language Acquisition, 2024
Research on mobile-assisted language learning (MALL) has revealed that high rates of attrition among users can undermine the potential benefits of this learning method. To explore this issue, we surveyed 3,670 adult MALL users based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and also conducted an in-depth analysis of their…
Descriptors: Learner Engagement, Handheld Devices, Nontraditional Students, Adults
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Lijia Lin; Shan Li; Xiaoshan Huang; Fu Chen – Distance Education, 2024
The purpose of the study was to examine (a) students' social annotation behaviors and engagement change in an undergraduate course throughout the semester, and (b) which social annotation behaviors impact active engagement time. A total of 91 university students' social annotation behaviors, as well as their active engagement time in readings,…
Descriptors: Computer Mediated Communication, Documentation, Undergraduate Students, Student Behavior
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Daevesh Singh; Ramkumar Rajendran – Smart Learning Environments, 2024
The relationship between cognitive engagement and learning gains in computer programming has not been well-studied. This study examined the relationship between students' cognitive engagement and learning gains in the context of Python programming. Cognitive engagement, defined by the Interactive, Constructive, Active, Passive (ICAP) framework,…
Descriptors: Programming, Learner Engagement, Thinking Skills, Time Management
Ryan L. Schaaf – ProQuest LLC, 2024
This study explored the impact of Digital Game-Based Learning (DGBL) on focus, engagement, and time-on-task learning behaviors among 8- to 10-year-old students. Grounded in Csikszentmihalyi's Theory of Flow, the study utilized a quantitative experimental design to compare DGBL experiences with alternative instructional strategies through learner…
Descriptors: Game Based Learning, Technology Uses in Education, Time on Task, Student Behavior
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Na-Ra Nam; Sue-Yeon Song – Innovations in Education and Teaching International, 2025
This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…
Descriptors: Adult Students, Academic Persistence, Foreign Countries, Influences
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Dalila Dragnic-Cindric; Nikki G. Lobczowski; Jeffrey A. Greene; P. Karen Murphy – Cognition and Instruction, 2024
Science educators incorporate collaborative engagement in model-based argumentation to meet curricular goals and build students' capacity for scientific epistemic and social practices. During collaboration, groups encounter various challenges (e.g., lack of task understanding) and engage in social regulation to overcome them. However, little is…
Descriptors: Science Teachers, Teacher Role, High School Teachers, Physics
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Shan Li; Xiaoshan Huang; Gaoxia Zhu; Hanxiang Du; Tianlong Zhong; Chenyu Hou; Juan Zheng – Journal of Computer Assisted Learning, 2024
Background: Social annotation has emerged as a promising educational technology that fosters collaborative reading and discussion of digital resources among learners. While the positive impact of social annotation on students' learning process and performance is widely acknowledged, students' behavioural patterns in social annotation are…
Descriptors: Undergraduate Students, Cooperative Learning, Reading Strategies, Group Activities
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Xu Du; Lizhao Zhang; Jui-Long Hung; Hao Li; Hengtao Tang; Miao Dai – Journal of Computing in Higher Education, 2024
This study aims to track college students' on-task rate during the teaching process and to analyze the influence of instructional strategies on on-task rate through the aspects of observable and internal engagement indicators. Thirty-six undergraduate students at a higher education institution in China participated in the study. Students'…
Descriptors: Teaching Methods, Attention Control, Brain Hemisphere Functions, Diagnostic Tests
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Olanrewaju P. Olaogun; Nathaniel J. Hunsu – European Journal of Psychology of Education, 2025
Students have misconceptions about many scientific topics they encounter in the classroom--such misconceptions are especially rife in subjects with counterintuitive concepts. Several studies have copiously documented students' misconceptions in different science domains. Research shows that students' misconceptions can be resistant to change and…
Descriptors: College Students, College Faculty, Engineering Education, Misconceptions
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Claire Wladis; Maggie P. Fay; Alyse C. Hachey – AERA Open, 2024
We present a model of capital that expands existing models to introduce two new forms of capital (time and body capital) as sources of inequity in education. The aim is to (a) make visible core resources that are relevant to educational outcomes and also (often hidden) sources of inequity, (b) identify commonalities across diverse empirical and…
Descriptors: Higher Education, Minority Group Students, Equal Education, Inclusion
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Ramadan Abdunabi; Ilham Hbaci; Teddy Nyambe – Information Systems Education Journal, 2024
Programming is a major subject in various Information Systems (IS) programs, with students often finding it a challenging skill to acquire. While there is extensive literature on factors helping students learn to program, most of which focuses on non-IS students. Due to the increasing demand for professionals with programming skills, there is a…
Descriptors: Influences, Programming, Self Efficacy, Computer Science Education
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