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Jonathan M. Golding; Anne Lippert; Jeffrey S. Neuschatz; Ilyssa Salomon; Kelly Burke – Teaching of Psychology, 2025
Background: The advent of generative-artificial intelligence (AI) applications introduces new challenges for colleges. Importantly, the growth of these applications requires faculty to adjust their pedagogy to account for the changing technological landscape. Objective: As colleges wrestle with the implications of these applications, it is…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Humanities
Raquel Coelho; Anne E. Bjune; Ståle Ellingsen; Belinda Munoz Solheim; Ruben Thormodsaeter; Barbara Wasson; Sehoya Cotner – Journal of Science Education and Technology, 2025
Questions around the use and regulation of Generative AI (GenAI) in educational contexts are widespread among both students and educators; an important step toward addressing these questions is to gain a full and nuanced understanding of the perspectives at play. To that end, this study surveyed 742 biology students across nine higher education…
Descriptors: Biology, Science Instruction, Artificial Intelligence, Student Surveys
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
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
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
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
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
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
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
Campbell McDermid – Interpreter and Translator Trainer, 2025
With the advent of online learning, instructors are challenged to engage with students in asynchronous learning environments. This study explored Perusall, a social annotation tool (SAT), in an undergraduate introductory course in sign language interpreting. Despite the growing popularity of SATs, their impact on sign language interpreter…
Descriptors: Translation, Computer Software, Computational Linguistics, Reading Rate
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
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
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
Palesh, Oxana; Oakley-Girvan, Ingrid; Richardson, Amanda; Nelson, Lorene M.; Clark, Rich; Hancock, Jeffrey; Acle, Carlos; Lavista, Juan M.; Miller, Yasamin; Gore-Felton, Cheryl – Journal of College Student Psychotherapy, 2022
From October to December 2016, a college sample (n = 536) of men (41%) and women (59%) 18 to 41 years old (M = 20.2 SD = 3.02) completed self-report surveys that assessed mental and behavioral health using a novel, mobile app called SHAPE. Multiple methods (e.g., flyers, face-to-face, e-mail, listservs) were used to recruit students. Almost half…
Descriptors: Mental Health, Computer Software, Prevention, Intervention
Insufficient Effort Responding in Surveys Assessing Self-Regulated Learning: Nuisance or Fatal Flaw?
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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