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Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
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Ernst Bekkering – Information Systems Education Journal, 2025
Undergraduate research can stimulate students' interest, especially in STEM disciplines. This research can be formally offered in different formats such as Undergraduate Research Experiences (UREs). One of these is Course-based Undergraduate Research Experiences (CUREs), which are offered as an integral part of scheduled courses. CUREs have been…
Descriptors: Undergraduate Students, Research Training, Computer Science Education, Student Interests
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Heather Johnston; Rebecca F. Wells; Elizabeth M. Shanks; Timothy Boey; Bryony N. Parsons – International Journal for Educational Integrity, 2024
The aim of this project was to understand student perspectives on generative artificial intelligence (GAI) technologies such as Chat generative Pre-Trained Transformer (ChatGPT), in order to inform changes to the University of Liverpool Academic Integrity code of practice. The survey for this study was created by a library student team and vetted…
Descriptors: Artificial Intelligence, Higher Education, Student Attitudes, Universities
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Sena, Mark P.; Ariyachandra, Thilini – Information Systems Education Journal, 2023
Data literacy has become a much sought after skill by organizations as the importance of data driven decision making continues to rise in importance. This study explores the teaching of Tableau as a supplement to Excel to enhance the data literacy skills of students. Twenty-eight students taking an introductory course in Business Analytics and…
Descriptors: Computer Software, Statistics Education, Spreadsheets, Usability
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Lisa Otto – Africa Education Review, 2024
ChatGPT has been on the lips and minds of academics and students alike since the launch of the generative technology in November 2022. Students have made use of it and academic institutions have debated how to respond to its use, variously either banning it outright or arguing that there should be a place for such technologies in our teaching and…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Himel Mondal; Shaikat Mondal; Nirupama Ray – Advances in Physiology Education, 2023
Formative assessment is vital for student learning and engagement. Social media platforms like Twitter have gained popularity in medical education, but little research has explored student perceptions of formative assessment through Twitter. This study aimed to observe participation rates in Twitter poll-based formative assessment and survey…
Descriptors: Social Media, Rural Schools, Medical Schools, Medical Students
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Büsra Kartal; Cengiz Çinar – International Journal of Mathematical Education in Science and Technology, 2024
Technological Pedagogical Content Knowledge (TPACK) is defined as the teacher knowledge needed for effective technology integration. This study aimed to investigate preservice elementary mathematics teachers' TPACK development. TPACK survey was administered to 33 preservice teachers (PSTs), and six of them were selected via maximum variation…
Descriptors: Preservice Teachers, Teacher Education Programs, Mathematics Teachers, Mathematics Instruction
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David R. Firth; Jason Triche – Information Systems Education Journal, 2024
Since ChatGPT exploded onto the scene in October 2022, the media has been breathless with their discussion about how it is going to impact many aspects of life and work. In order to bring this new reality of generative AI into the "Introduction to Management Information Systems" classroom at both the undergraduate and graduate levels, we…
Descriptors: Information Systems, Artificial Intelligence, Information Science Education, Computer Software
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Mustafa Koc; Rabia Pala – International Society for Technology, Education, and Science, 2024
Smartphones working like a computer are much more than just classic mobile or cell phones used to communicate as they offer all the possibilities of computer and internet technology in our palms. By means of features they have and new applications developed every day, smartphones are used for a wide variety of purposes including but not limited to…
Descriptors: Foreign Countries, Telecommunications, Handheld Devices, Addictive Behavior
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Timothy Rosencrans; Ryan Jones; Daniel Griffin; India Loyd; Anna Grady; Mary Moon; Frederick Miller – Advances in Physiology Education, 2024
Medical students face challenging but important topics they must learn in short periods of time, such as autonomic pharmacology. Autonomic pharmacology is difficult in that it requires students to synthesize detailed anatomy, physiology, clinical reasoning, and pharmacology. The subject poses a challenge to learn as it is often introduced early in…
Descriptors: Pharmacology, Medical Students, Student Attitudes, Web Based Instruction
Larry Wayne Evert Jr. – ProQuest LLC, 2024
The purpose of this mixed-method survey-based study addresses the underexplored area of undergraduate student perceptions of artificial intelligences (AI) impact in academia, specifically within the FCSEI in Romania. This research study will provide comprehensive findings on how AI can revolutionize teaching methodologies, learning processes, and…
Descriptors: Undergraduate Students, Artificial Intelligence, Technology Uses in Education, Student Surveys
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Hsu, Hui-Tzu; Lin, Chih-Cheng – Educational Technology & Society, 2022
Mobile technology is regarded as a helpful tool facilitating language learning. However, the success of mobile technology largely depends on learners' acceptance. This study explored the factors that may affect students' intention formation regarding mobile-assisted language learning (MALL) in the context of higher education through the lens of…
Descriptors: Computer Assisted Instruction, Telecommunications, Handheld Devices, Teaching Styles
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Avila, Daymy Tamayo; Van Petegem, Wim; Libotton, Arno – European Journal of Engineering Education, 2021
Teamwork is an important aspect of software engineering education. This paper presents ASEST (Agile Software Engineers Stick Together), a teaching framework whose aim is to improve teamwork in terms of team performance and team learning by developing team cohesion at the graduate level of software engineering student teams. The basis of ASEST was…
Descriptors: Guidelines, Computer Software, Engineering Education, Teamwork
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Chi Hong Leung; Winslet Ting Yan Chan – Asian Journal of Contemporary Education, 2024
This study aims to investigate the integration of artificial intelligence, specifically ChatGPT, into the learning process of the I Ching, and its impact on students' understanding and application of this ancient Chinese wisdom in modern management practices. The research adopts a quantitative approach, utilizing surveys to collect data from…
Descriptors: Asian Culture, Artificial Intelligence, Technology Uses in Education, Computer Software
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Iaconelli, Ryan; Wolters, Christopher A. – Frontline Learning Research, 2020
Despite concerns about their validity, self-report surveys remain the primary data collection method in the research of self-regulated learning (SRL). To address some of these concerns, we took a data set comprised of college students' self-reported beliefs and behaviours related to SRL, assessed across three surveys, and examined it for instances…
Descriptors: Metacognition, College Students, Student Attitudes, Validity
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