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Arinjoy Basak; Nicole P. Pitterson; Clifford A. Shaffer; Sneha Patel Davison; David A. Dillard; Jacob Grohs – Advances in Engineering Education, 2025
Motivated by the benefits of repeated deliberate practice, we created an interactive exercise system for use in an undergraduate engineering mechanics class that focuses on practicing learned fundamental concepts. These exercises take the form of traditional word problems commonly found in mechanics courses, involving things like selecting and…
Descriptors: Usability, Electronic Learning, Computer Mediated Communication, Engineering Education
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Blanca Álvarez-Turrado; Daniel Falla; Eva M. Romera – Youth & Society, 2025
Studies on cyberbullying recognize that peer group pressure can activate certain moral disengagement mechanisms that promote the perpetration of aggressive behaviors online. The objectives of this research were to analyze the association of peer group pressure with cyberaggression and to test the mediation effect of different moral disengagement…
Descriptors: Peer Influence, Computer Mediated Communication, Aggression, Bullying
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Robert Paul; David Rojas; Maria Athina Martimianakis; Lauren Chad; Karen Leslie; Peter Rossos; Catherine Wang; Mitchell Irving; Ramanan Aiyadurai; Cynthia Ruth Whitehead – Advances in Health Sciences Education, 2025
The COVID-19 pandemic triggered a global pivot to virtual care (VC) technologies. While there has been considerable academic work exploring the "how" of VC, few studies have explored the impact of this pivot, its unintended consequences, and its governing rationales. This study addresses this gap in relation to care, professional…
Descriptors: Access to Health Care, Computer Mediated Communication, Videoconferencing, Professional Identity
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Mahadi Hasan Miraz; Narishah Mohamed Salleh; Mohammad Tariq Hasan; James Bakul Sarkar; Mohammad Faridul Alam – Educational Process: International Journal, 2025
Background/purpose: This study investigates the impact of emoji feedback on students' assessments and learning outcomes. Aims include emotions in feedback systems to assess the effects of feedback, learning outcomes, and general performance, among other educational outcomes. Materials/methods: This study employed a mixed-methods approach,…
Descriptors: Feedback (Response), Student Evaluation, Visual Aids, Computer Mediated Communication
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Jillian R. Williamson Yarbrough; Katelynn Sell; Adam Weiss; Leslie Ramos Salazar – International Journal of Bullying Prevention, 2025
Cyberbullying affects US youth, adolescents, and adults and can occur in various settings. Among the academic literature exploring cyberbullying, most discuss cyberbullying of youth and adolescents within the K-12 academic setting. While some studies address cyberbullying targeting adults, a limited amount of research has been conducted on the…
Descriptors: Computer Mediated Communication, Bullying, College Faculty, Victims
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Umberto Dello Iacono; George Santi – International Journal of Mathematical Education in Science and Technology, 2025
In this paper, we report on a study involving third-year undergraduate mathematics students who were taking a course in Mathematics Education. The participants, prospective teachers, discussed typical misconceptions in mathematics. They first worked in Moodle environment communicating in small groups and with the whole class using Quick Chat…
Descriptors: Learning Management Systems, Student Attitudes, Mathematics Education, Misconceptions
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Yixin Zhang; Hui Zhang; Qi Wang – Distance Education, 2025
In-service teachers, constrained by work commitments, adopt online learning methods for their graduate studies, emphasizing the significance of exploring the construction of online learning communities. Analyzing collaborative conversation texts within the online learning process of the "Learning Science" course at a university in…
Descriptors: Communities of Practice, Electronic Learning, Computer Mediated Communication, Interaction
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Melissa R. Becker; Anna Fox; Lisa Colvin – Journal of Instructional Research, 2025
In recent years, online education in institutions of higher learning has exponentially expanded the application of digital approaches to learning. The Learning Management Systems (LMS) used by online instruction provide a variety of tools to enhance learning with peers and instructors (Yount & Neild, 2022). One such tool, Asynchronous…
Descriptors: Learning Management Systems, Electronic Learning, Asynchronous Communication, Discussion Groups
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Ishrat Ahmed; Wenxing Liu; Rod D. Roscoe; Elizabeth Reilley; Danielle S. McNamara – Grantee Submission, 2025
Large language models (LLMs) are increasingly being utilized to develop tools and services in various domains, including education. However, due to the nature of the training data, these models are susceptible to inherent social or cognitive biases, which can influence their outputs. Furthermore, their handling of critical topics, such as privacy…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, College Students
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Aaron J. Peltoniemi; Joni Lämsä; Sami Lehesvuori; Raija Hämäläinen – International Journal of Computer-Supported Collaborative Learning, 2025
This study qualitatively develops further understandings regarding knowledge and identity construction within computer-supported collaborative learning (CSCL) research by applying discourse analysis and the dialogical self theory (DST) to investigate the role of interpersonal and intrapersonal voices in facilitating knowledge construction. We…
Descriptors: Self Concept, Concept Formation, Discourse Analysis, Computer Assisted Instruction
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Jingjing Xu; Zhongling Pi; Meng Liu; Chaoqun Ye; Weiping Hu – Instructional Science: An International Journal of the Learning Sciences, 2025
Discussion has become a crucial method of interactive learning in online collaborative environments. This study aims to identify the impact of different task motivation compositions and learning scaffolding on attention, learning performance, and behavioral patterns. The 90 Chinese undergraduate and graduate students (M[subscript age]=20.38,…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Scaffolding (Teaching Technique)
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Autumn Roesch-Marsh; Jennifer Simpson; Mark Hardy; Ravinder Kaur – Child Care in Practice, 2025
Most children and young people now live a significant proportion of their lives online, a situation that has been accelerated by the COVID-19 pandemic which required many services, including education, to go online. Social media apps, messaging apps, online gaming, and chatrooms provide new and important spaces for children and young people to…
Descriptors: Social Work, Child Safety, Social Media, Computer Oriented Programs
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Lewes Peddell; Royce Willis; David Lynch; Christos Markopoulos; Darius Samojlowicz; Tony Yeigh; Declan Forrester – Mathematics Education Research Journal, 2025
This study employs the Theory of Planned Behaviour to investigate mathematics teachers' beliefs regarding their intention to collaborate regularly in an online community. The central premise is that initiating such a community necessitates an implementation strategy informed by a better understanding of underlying beliefs influencing teachers'…
Descriptors: Mathematics Teachers, Teacher Behavior, Intention, Teacher Participation
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Ryan A. Burke; Jamie J. Jirout; Bethany A. Bell – Active Learning in Higher Education, 2025
Cognitive engagement is an essential component in student learning. With the increase of more asynchronous virtual educational tools in classrooms, there is a need to understand how students are engaging with classroom content in these formats. Several studies have examined student and teacher perceptions of cognitive engagement in virtual…
Descriptors: Student Participation, Learner Engagement, Computer Mediated Communication, Asynchronous Communication
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Ilagan, Michael John; Falk, Carl F. – Educational and Psychological Measurement, 2023
Administering Likert-type questionnaires to online samples risks contamination of the data by malicious computer-generated random responses, also known as bots. Although nonresponsivity indices (NRIs) such as person-total correlations or Mahalanobis distance have shown great promise to detect bots, universal cutoff values are elusive. An initial…
Descriptors: Likert Scales, Questionnaires, Artificial Intelligence, Identification
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