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Kunye Chen; Raghav Mahalingam; Neal Ormsbee; Rachel Schlossman; Luis Sentis – IEEE Transactions on Education, 2024
University laboratories deliver unique hands-on experimentation opportunities for STEM students, but often lack state-of-the-art equipment and provide limited access to their equipment. The University of Texas Cloud Laboratory (CLAB) provides remote access to cutting-edge series elastic actuators for student experimentation regarding…
Descriptors: STEM Education, Laboratory Experiments, Laboratory Equipment, Robotics
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Jaildo Tavares Pequeno; Benjamim Fonseca; Joaquim Bernardino Oliveira Lopes – International Journal of Technology and Design Education, 2024
This work aims to identify teaching and learning practices in practical classes of Computer Network Technology courses, which promote the use of the Physical Laboratory (PL) as an epistemic tool to improve learning in epistemic terms. Content analysis of Multimodal Narrations (MN) of three classes by two teachers were used. An MN aggregates and…
Descriptors: Epistemology, Learning Processes, Mediation Theory, Computer Science Education
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Anna Eckerdal; Anders Berglund; Michael Thuné – European Journal of Engineering Education, 2024
Learning in the computer laboratory is an important component when students learn computer programming. In this article, we analyse empirical data on novice students working in pairs in the laboratory. Using an approach inspired by phenomenography and variation theory, we specifically focus on how students' learning of theory and their learning of…
Descriptors: Programming, Theory Practice Relationship, Higher Education, Computer Science Education
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Erkan Er; Gökhan Akçapinar; Alper Bayazit; Omid Noroozi; Seyyed Kazem Banihashem – British Journal of Educational Technology, 2025
Despite the growing research interest in the use of large language models for feedback provision, it still remains unknown how students perceive and use AI-generated feedback compared to instructor feedback in authentic settings. To address this gap, this study compared instructor and AI-generated feedback in a Java programming course through an…
Descriptors: Student Evaluation, Student Attitudes, Feedback (Response), Artificial Intelligence
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Nichole Orench-Rivera; April Bednarski; Paul Craig; Austin Talbot – Journal of College Science Teaching, 2025
Advancements in computation and machine learning have revolutionized science, enabling researchers to address once insurmountable challenges. Bioinformatics, a field that heavily relies on computer-driven analysis of biological data, has greatly benefited from these developments. However, traditional bioinformatics instruction frequently lacks the…
Descriptors: Coding, Computer Science Education, Integrated Curriculum, Programming
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Furkan Yucel; Hasret Sultan Unal; Elif Surer; Nejan Huvaj – IEEE Transactions on Learning Technologies, 2024
Laboratory experience is an integral part of the undergraduate curriculum in most engineering courses. When physical learning is not feasible, and when the demand cannot be met through actual hands-on laboratory sessions, as has been during the COVID-19 pandemic, virtual laboratory courses can be considered as an alternative education medium. This…
Descriptors: Electronic Learning, Engineering Education, COVID-19, Pandemics
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Wesley Beccaro; Elisabete Galeazzo; Denise Consonni; Henrique E. Maldonado Peres; Leopoldo R. Yoshioka – IEEE Transactions on Education, 2024
Contribution: The evaluation of analog-to-digital conversion methods constitutes a key component of an Instrumentation course. This study introduces an affordable educational platform based on Arduino UNO board designed for teaching analog-to-digital conversion concepts, supported by virtual instruments (VIs). Background: ADCs are electronic…
Descriptors: Engineering Education, Learning Management Systems, Teaching Methods, Computer Simulation
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Yunfei Hou; Amir Ghasemkhani; Hani Aldirawi; Miranda McIntyre; Montgomery Van Wart – American Journal of Distance Education, 2024
Prior to the COVID-19 pandemic, Computer Science and STEM-related fields were among the most resistant to online courses. This is because of a perception of the need for more hands-on instruction with labs, clinicals, field studies, etc. Additionally, many STEM students had perceptions based on limited experience of an online STEM course.…
Descriptors: STEM Education, Student Attitudes, Attitude Change, Electronic Learning
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Jonas Tillmann; Claas Wegner – International Journal of Research in Education and Science, 2024
Satellite laboratories, designed to ignite interest in technical and computer science topics, employ cross-age peer tutoring and physical computing platforms. Catering to students from 5th grade onwards, these laboratories are led by tutors from 9th grade onwards. Employing a design-based research approach, the project aims to comprehensively…
Descriptors: Computer Science Education, Tutoring, STEM Education, Secondary School Students