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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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Andri Ioannou; Ourania Miliou; Yiannis Georgiou; Stella Timotheou; Louise Barkhuus; Jennifer Rode – Educational Technology Research and Development, 2025
E-textiles provide an interesting field of research as they "blend traditional craft with modern science" (Peppler, 2016) and help learners "broaden their own perceptions of computing" (Searle et al., 2016). Despite the promising findings by primarily long-term interventions structured around e-textiles, educational curriculum…
Descriptors: STEM Education, Foreign Countries, Textiles Instruction, Technology Uses in Education
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Daniela Decker; Martin Merkt – Journal of Computer Assisted Learning, 2024
Background: Virtual reality (VR) offers much potential for learning, but it challenges learners' orientation. Objectives: This paper investigates whether it is possible to use light or movement cues to facilitate orientation in a search task in a desktop-VR environment so that participants can better attend to the learning content presented…
Descriptors: Cues, Educational Technology, Computer Simulation, Light
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Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
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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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Gretchen Scheibel; Tyler A. Hicks; Kathleen N. Zimmerman; Jesse R. Pace – Remedial and Special Education, 2024
Intensive interventions are time- and resource-demanding interventions designed to be implemented with a single student with unique learning needs. Economic evaluation provides a methodology for evaluating the time and material resource costs of implementing these interventions to provide detailed feasibility information for educators considering…
Descriptors: Intervention, Cost Effectiveness, Teacher Attitudes, Time on Task
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Michelle Alvarado; Katie Basinger-Ellis; Behshad Lahijanian; Meserret Karaca; Diego Alvarado – Advances in Engineering Education, 2023
Student preferences for digital learning and the COVID-19 pandemic have increased demand for asynchronous learning activities, including pre-recorded video lectures. However, there are varying recommendations and a lack of data-driven results for how long video lectures should be. This study has two purposes: (1) To determine and understand…
Descriptors: Student Attitudes, Engineering Education, Electronic Learning, Educational Technology
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Stephanie Devine; Cynthia Massey; Kathryn L. Haughney – Exceptionality, 2024
Although applications (apps) for technology-based self-monitoring have received little attention in the literature for college-level students with intellectual disability (ID) in inclusive postsecondary education (IPSE) programs at institutions of higher education, novel tools regularly arrive and are applied within current support structures.…
Descriptors: College Students, Students with Disabilities, Intellectual Disability, Postsecondary Education
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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Tingting Wang; Alejandra Ruiz-Segura; Shan Li; Susanne P. Lajoie – Journal of Computer Assisted Learning, 2024
Background: Scholars have confirmed the vital roles of self-regulated learning (SRL) behaviours in predicting task performance, especially within non-linear technology-rich learning environments (TREs). However, few studies focused on the learning costs (e.g., study effort and time-on-task) related to SRL and the efficiency outcome of SRL (i.e.,…
Descriptors: Problem Solving, Educational Environment, Efficiency, Student Behavior
Giovanni Gonzalez Araujo – ProQuest LLC, 2024
This dissertation presents the results and outcomes of an effort to design educational tools and curriculum to improve student learning in introductory programming courses. The work was conducted at the University of California, Merced (UC Merced), situated in the Central Valley of California, and home to a diverse student population. The findings…
Descriptors: Undergraduate Study, Computer Science, Introductory Courses, Case Studies
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González, José Antonio; Giuliano, Mónica; Pérez, Silvia N. – Education and Information Technologies, 2022
Research on impact in student achievement of online homework systems compared to traditional methods is ambivalent. Methodological issues in the study design, besides of technological diversity, can account for this uncertainty. Hypothesis: This study aims to estimate the effect size of homework practice with exercises automatically provided by…
Descriptors: Undergraduate Students, Engineering Education, Electronic Learning, Problem Solving
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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, Xin; Sears, Sandra; Simonsen, Brandi – Beyond Behavior, 2023
Paying attention during academic instruction plays a significant role in learning. Students with off-task behaviors are less likely to obtain desired learning outcomes. Technology-based self-monitoring is one of the strategies designed to address this issue. This article introduces technology-based self-monitoring (TBSM) for elementary educators…
Descriptors: Attention, Time on Task, Student Behavior, Educational Technology
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