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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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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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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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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
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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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
Josh Freeman – Higher Education Policy Institute, 2025
Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…
Descriptors: Student Surveys, Student Attitudes, Cheating, Artificial Intelligence
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Bokhari, Ali – Journal of Education, 2022
Computer-aided design (CAD) tools are widely used in the urban planning process, giving planners the ability to generate urban contexts and many scenarios for future development. However, debate is ongoing regarding the effects of CAD tools on student learning and the reliability of the cluster of assumptions that usually come with them. This…
Descriptors: Urban Planning, Urban Areas, Educational Objectives, Critical Thinking
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Kamis, Mohd Sham; Alias, Muhammad Nazir; Lubis, Maimun Aqsha; Damien Mikeng; Abidin, Syahrul Ghani Zainal; Ismail, Md.Jais; Yusof, Rorlinda – Journal of Language and Linguistic Studies, 2021
This study is related to learning styles and technology; for example, the use of telegram in the laptop among Malaysian Gifted Learners (MGL) at Pusat GENIUS@Pintar Negara, UKM. This study aims to investigate the three research questions. The first research question, what is the visual-level of Arabic language learning- style using telegram in the…
Descriptors: Semitic Languages, Second Language Learning, Second Language Instruction, Laptop Computers
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Kontro, Inkeri; Génois, Mathieu – Education Sciences, 2020
Student belongingness is important for successful study paths, and group work forms an important part of modern university physics education. To study the group dynamics of introductory physics students at the University of Helsinki, we collected network data from seven laboratory course sections of approximately 20 students each for seven…
Descriptors: Student Surveys, Student Behavior, Group Membership, Interpersonal Competence
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Lee, Thomas; Pham, Kane; Crosby, Alexandra; Peterson, J. Fiona – Pedagogy, Culture and Society, 2021
This article provides a snapshot of the digital collaboration practices in a postgraduate master programme studio, focused on service and interaction design. It presents and discusses research from a student survey focused on evaluating the usefulness of the online collaborative software (OCS) 'Slack' and how it relates to a broader media ecology,…
Descriptors: Graduate Students, Masters Programs, Cooperative Learning, Design
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Fletcher, Andrew; Kickbusch, Steven; Huijser, Henk – Journal of Geography in Higher Education, 2022
In this paper, we examine the potential of authentic learning activities and assessment to enhance the student learning experience in a standalone introductory geospatial information science module. Computer laboratory sessions form seventy-five percent of contact hours and final grade, so authentic learning used a field-based project with…
Descriptors: Authentic Learning, Case Studies, Telecommunications, Handheld Devices
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Suraprajit, Prathomwat – English Language Teaching, 2022
Conditional sentences are difficult for EFL students to understand because of their complexity in both form and function. By analyzing the performances and opinions among EFL learners, the pedagogical contribution may be beneficial for both EFL students and teachers. The use, errors, and perceptions of Thai EFL students regarding conditional…
Descriptors: Language Usage, Error Patterns, Self Concept, English (Second Language)
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