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Simone Porcu; Alessandro Floris; Luigi Atzori – IEEE Transactions on Learning Technologies, 2025
In this article, we preliminarily discuss the limitations of current video conferencing platforms in online synchronous learning. Research has shown that while the involved technologies are appropriate for collaborative video calls, they often fail to replicate the rich nature of face-to-face interactions among students and between students and…
Descriptors: Computer Simulation, Electronic Learning, Synchronous Communication, Videoconferencing
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Osman Kayhan; Nazli Tokatli; Halis Altun; Özgen Korkmaz – International Journal of Technology in Education, 2025
This research aims to investigate the impact of peer-evaluated internship activities centered on artificial intelligence on engineering students, specifically focusing on their virtual learning competencies, attitudes towards artificial intelligence, and ascertain student perspectives. For this purpose, mixed-methods research has been used. In…
Descriptors: Peer Evaluation, Artificial Intelligence, Internship Programs, Engineering Education
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Bhavana Kotla; Lisa Bosman; Kelli Chelberg; Alejandra J. Magana; Siddika Selcen Guzey – Journal of College Student Retention: Research, Theory & Practice, 2025
Understanding what motivates students to enroll, persist, and complete an undergraduate research experience is crucial in developing strategies for creating well-rounded and inclusive research programs. This paper showcases an approach for a virtual undergraduate research onboarding program to orient engineering students to the National Science…
Descriptors: Undergraduate Students, Student Research, Engineering Education, Student Motivation
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Elizabeth S. Volpe; Denise R. Simmons; Joi-Lynn Mondisa; Sara Rojas – International Journal of Mentoring and Coaching in Education, 2025
Purpose: In this study, students' perceptions of the effective practices of their research mentors were examined. The research mentors implemented the practices informed by the Center for the Improvement of Mentored Experiences in Research (CIMER) mentorship competencies to mentor underrepresented students in engineering education research in a…
Descriptors: Mentors, Disproportionate Representation, Minority Group Students, Undergraduate Students
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Meina Zhu; Min Young Doo; Sara Masoud; Yaoxian Huang – Education and Information Technologies, 2025
This study examines the influences of learners' motivation, self-monitoring, and self-management on learning satisfaction in online learning environments. The participants were 185 undergraduates and 99 graduate students majoring in computer science and engineering. The participants' motivation, self-monitoring, self-management, and learning…
Descriptors: Student Satisfaction, Differences, Undergraduate Students, Graduate Students
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Fernando Veiga; Alain Gil-Del-Val; Edurne Iriondo; Urko Eslava – International Journal of Technology and Design Education, 2025
This paper presents the experimental work developed to measure the learning process through concept map analysis. The development of a concept map is requested by the students for each chapter or theme of the subject. As a result, maps from engineering courses have been analyzed. The measurements carried out consider several parameters, such as…
Descriptors: College Students, Engineering Education, Concept Mapping, Learning Processes
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Mary Katherine Watson; Elise M. Barrella; Kevin Skenes – Journal of Civil Engineering Education, 2024
At the onset of the COVID-19 pandemic, The Citadel transitioned from a face-to-face to an emergency online modality. We conducted a study to track changes in self-directed learning readiness (SDLR) among engineering students during the Spring 2020 semester, including trends based on demographic, performance, and cognitive load factors. SDLR was…
Descriptors: Independent Study, Undergraduate Students, Engineering Education, COVID-19
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Sayed Mohamad Soleimani; Martin Jaeger; Alanoud Faheiman; Abdel Rahman Alaqqad – Quality in Higher Education, 2024
This study determines the critical success factors for students and academic staff when applying and evaluating online delivery methods in colleges and universities in Kuwait. The recently implemented eLearning systems and methods in the country, due to the COVID-19 pandemic, are evaluated and the perception of the eLearning system is gauged.…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Academic Achievement
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Fulya Kula; Nelly Litvak; Tracy S. Craig – IEEE Transactions on Education, 2024
The sample mean in statistics is a concept of great importance, with its properties being extensively utilized in other areas, such as computer science. This research centers on the concept of the sample mean and its characteristics in a cohort of computer engineering students undertaking a required course in statistics at a university in the…
Descriptors: Computer Science Education, Engineering Education, Learning Processes, Statistics
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I Gede Budi Mahendra; Billy Killis – Journal of Learning for Development, 2025
Open and distance learning (ODL) often faces challenges in student motivation and engagement. This study aimed at examining the effectiveness of a virtual laboratory-assisted microlearning platform in enhancing student motivation and engagement. Using a quasi-experimental methodology, 52 students from higher education institutions in Indonesia…
Descriptors: Student Motivation, Learner Engagement, Success, Electronic Learning
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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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Success Kamuhanda; Ruth Nsibirano; Lulu Mahai – International Journal of Education and Development using Information and Communication Technology, 2025
The need to integrate online learning tools into higher education, accelerated by advancements in technology, coupled with past realities that challenge physical engagements such as the COVID19 pandemic, is now an established reality (Li, 2022; Thomas & Abanikannda, 2023). Globally, it is correct to assert that the integration of technology…
Descriptors: Electronic Learning, Gender Differences, Academic Persistence, Developing Nations
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Sheng Chen – Journal of Applied Research in Higher Education, 2024
Purpose: Available research on mobile learning all stand on the viewpoint of teachers. However, as mobile learning is learner-centric, learners' roles must be understood clearly from the learners' viewpoint, particularly considering its self-directed learning feature. It is well-known learners for self-directed learning must bear some teachers'…
Descriptors: Undergraduate Students, Engineering Education, Electronic Learning, COVID-19
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Roee Peretz; Natali Levi-Soskin; Dov Dori; Yehudit Judy Dori – IEEE Transactions on Education, 2024
Contribution: Model-based learning improves systems thinking (ST) based on students' prior knowledge and gender. Relations were found between textual, visual, and mixed question types and student achievements. Background: ST is essential to judicious decision-making and problem-solving. Undergraduate students can be taught to apply better ST, and…
Descriptors: Models, Engineering Education, Thinking Skills, Systems Approach
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Andrew J. Collins; Brandon M. Butler; James F. Leathrum; Christopher J. Lynch – Studying Teacher Education, 2024
As the COVID-19 pandemic caused severe disruption to education enterprises throughout the world, the main response by educational institutions was to move to online learning environments. The purpose of this study was to understand better how instructors could improve online learning for a professional-level week-long short course in a highly…
Descriptors: COVID-19, Pandemics, Engineering Education, Electronic Learning
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