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Nauryz Kuldanov; Svetlana Balagazova; Kamarsulu Ibrayeva; Aliya Mombek; Zhanbolat Kosherbayev; Nazymgul Bolatkhan – Journal of Educational Computing Research, 2025
The primary aim of this study was to evaluate whether the use of the EmoMusic dataset could enhance first-year students' emotional and musical creativity. A randomized controlled trial was conducted with 128 students. Participants were randomly assigned either to a control group that continued traditional vocal training or to an experimental group…
Descriptors: College Freshmen, Music Education, Creativity, Emotional Response
Marin, Julie; Brichler, Ségolène; Lecuyer, Hervé; Carbonnelle, Etienne; Lescat, Mathilde – Journal of Educational Technology Systems, 2021
The coronavirus disease 2019 epidemic has prompted all universities to completely change their teaching in a very rapid way around the world. In France, most of the university courses for the year 2020 had to be delivered at distance. This can be an opportunity for some to rethink the place and the form of distance learning (DL). We present here…
Descriptors: Feedback (Response), Student Attitudes, Medical Students, Microbiology
David R. Firth; Adam Gonzales; Michelle Louch; Bryan Hammer – Information Systems Education Journal, 2025
ChatGPT is having an impact on students, and information systems (IS) and computing academic professionals alike. Our goal for this paper is to help faculty and students know the conditions in which generative AI such as ChatGPT should or should not be used. To that end, we describe the development of a 2x2 matrix. On the horizontal axis we have…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Information Systems
Khameel B. Mustapha; Eng Hwa Yap; Yousif Abdalla Abakr – Interactive Technology and Smart Education, 2024
Purpose: Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started to reverberate around various disciplines. This study aims to track the unfolding landscape of general issues surrounding GenAI tools and to elucidate the specific opportunities and limitations of…
Descriptors: Engineering Education, Artificial Intelligence, Computer Software, Synchronous Communication
Fernández Herrero, Jorge; Gómez Donoso, Francisco; Roig Vila, Rosabel – British Journal of Educational Technology, 2023
To test the suitability of an automatic system for emotional management in the classroom following the control-value theory of achievement emotions (CVT) framework, the performance of an emotional expression recognition software of our creation is evaluated in an online synchronous context. Sixty students from the Faculty of Education at the…
Descriptors: Foreign Countries, Artificial Intelligence, College Students, Emotional Response
McCarron, Karen B.; Park, Taewoo; Ellis, Yvonne – Journal of Instructional Pedagogies, 2023
This study extends the work of Park and Ellis (2020) with its use of randomized data in Excel® assignments by incorporating a feedback feature that allows students to check their work before submitting it for grading. Three groups of intermediate accounting students complete identical assignments that vary only in the mode of data delivery. One…
Descriptors: Accounting, Business Administration Education, Undergraduate Students, Computer Software
Pekka Isotalus; Marja Eklund; Karoliina Karppinen – Communication Teacher, 2025
Traditionally, feedback is regarded as crucial in the context of learning and teaching public speaking. In the current course, we analyzed the feedback provided to students by an artificial intelligence (AI) coach and students' learning experiences in developing public-speaking skills via this tool. The MySpeaker Rhetorich speech coach application…
Descriptors: Artificial Intelligence, Public Speaking, Feedback (Response), Teaching Methods
Samuel S. Davidson – ProQuest LLC, 2024
Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…
Descriptors: Computer Assisted Testing, Automation, Student Evaluation, Feedback (Response)
Chokoraia, Tamar – Quality in Higher Education, 2023
The Georgian educational system was not familiar with the concept of plagiarism during the Soviet era. The purpose of the article is to study whether the mechanisms for plagiarism prevention in Georgian higher education institutions have been improved as a result of the application of new authorisation standards and international practices; it…
Descriptors: Foreign Countries, Plagiarism, Prevention, Higher Education
Kassie A. Cigliana; Tom Gray; George Gower – Research in Learning Technology, 2024
An objective structured clinical examination (OSCE) has been recognised as a reliable but workload-intensive assessment method across health sciences studies. Though a variety of digital marking tools have been employed to improve marking and feedback provision for OSCEs, many of these require specialist software or maintenance. This pilot study…
Descriptors: Grading, Feedback (Response), Evaluation, Computer Software
Joseph W. LaBrie; Bradley M. Trager; Sarah C. Boyle; Reed M. Morgan; Layla M. Rainosek – Journal of American College Health, 2025
Objective: This study evaluated FITSTART+, a parent-based intervention (PBI), for preventing risky drinking among first-year college students. Participants: Participants were traditional first-year students aged between 17 and 20. Method: In total, 391 eligible students completed a baseline survey and their parents were then invited to use the…
Descriptors: Drinking, Alcohol Abuse, College Freshmen, Program Evaluation
M. V. Jongsma; M. Meeter; J. E. van Muijlwijk-Koezen; D. J. Scholten – Education and Information Technologies, 2025
With the emergence of new technologies, various methods for providing online peer feedback have become available. While the effects of online peer feedback on student perceptions and learning are often compared to those of offline peer feedback, there is a lack of research comparing different online feedback environments. This study focuses on how…
Descriptors: Educational Technology, Computer Mediated Communication, Feedback (Response), Peer Evaluation
Peter Daly; Emmanuelle Deglaire – Innovations in Education and Teaching International, 2025
AI-enabled assessment of student papers has the potential to provide both summative and formative feedback and reduce the time spent on grading. Using auto-ethnography, this study compares AI-enabled and human assessment of business student examination papers in a law module based on previously established rubrics. Examination papers were…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, College Faculty
Rodel Mar V. Guban – Online Submission, 2024
Among the many options for a learning management system (LMS), Office 365 is one of the most popular among colleges and universities in the Philippines and abroad. While there are substantial studies conducted on the use of LMS for online communication in general, action research conducted to a specific higher education institution is still needed…
Descriptors: Undergraduate Students, Computer Mediated Communication, Computer Software, Foreign Countries
Liew, Tze Wei; Tan, Su-Mae; Kew, Si Na – Information and Learning Sciences, 2022
Purpose: This study aims to examine if a pedagogical agent's expressed anger, when framed as a feedback cue, can enhance mental effort and learning performance in a multimedia learning environment than expressed happiness. Design/methodology/approach: A between-subjects experiment was conducted in which learners engaged with a multimedia learning…
Descriptors: Teaching Methods, Multimedia Instruction, Psychological Patterns, Emotional Response

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