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Leen Adel Gammoh – Education and Information Technologies, 2025
This qualitative study examines the risks educators in Jordan face with the integration of ChatGPT, an emerging AI technology, into academic settings. While considerable attention has been given to risks affecting university students, there remains a gap in understanding the specific challenges encountered by educators themselves. Through…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Integration
Alvarez-Melgarejo, Mileidy; Pedraza-Avella, Aura C.; Torres-Barreto, Martha L. – International Journal of Learning Technology, 2023
MOTIVATIC WEB is a software platform in which teachers can co-design activities for their students using three different gamified mechanics. This article presents the results of the technology acceptance evaluation by users. The evaluation considered aspects related to perceived usefulness (PU) and ease of use, behavioural intention to use, and…
Descriptors: College Faculty, Electronic Learning, Computer Software, Computer Uses in Education
Melissa Fortner; Iva Katzarska-Miller – Teaching of Psychology, 2025
Introduction: Recent advancements in generative AI (GAI) platforms appear to mark an abrupt shift in higher education. Statement of the Problem: Instructors have a responsibility to teach students to use GAI, which is a promising tool for promoting personalized, student-centered, process-focused learning environments. Literature Review: Drawing on…
Descriptors: Artificial Intelligence, Majors (Students), Computer Software, Student Centered Learning
Acacia L. Overono; Annie S. Ditta – Teaching of Psychology, 2025
Introduction: The proliferation and accessibility of generative artificial intelligence (AI) have led to strong reactions across the academia. Statement of the Problem: Teachers can adapt to the availability of AI by integrating disclosure statements about its use into courses, which may promote student learning. Literature Review: Suggestions to…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Self Disclosure (Individuals)
Ming Li; Ariunaa Enkhtur; Beverley Anne Yamamoto; Fei Cheng; Lilan Chen – Open Praxis, 2025
Generative Artificial Intelligence (GAI) models, such as ChatGPT, may inherit or amplify societal biases due to their training on extensive datasets. With the increasing usage of GAI by students, faculty, and staff in higher education institutions (HEIs), it is urgent to examine the ethical issues and potential biases associated with this…
Descriptors: Artificial Intelligence, Ethics, Technology Integration, Computer Software
Pamela P. Rogers; Charlotte Allen; Antoine Busby – Journal of Marketing Education, 2025
Artificial intelligence (AI) is revolutionizing and transforming industries around the globe. Through the exploration of various AI applications in teaching, research, and administrative tasks, this article illuminates both the potential and limitations of AI for enhancing faculty productivity while improving their effectiveness and innovation in…
Descriptors: Marketing, Business Education, Artificial Intelligence, Computer Software
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
Cleon Xavier; Luiz Rodrigues; Newarney Costa; Rodrigues Neto; Gabriel Alves; Taciana Pontual Falcao; Dragan Gasevic; Rafael Ferreira Mello – IEEE Transactions on Learning Technologies, 2025
Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning analytic approaches can support feedback provision, previous studies have not sufficiently investigated educators' perspectives…
Descriptors: Teacher Empowerment, Learning Analytics, Artificial Intelligence, Computer Software
Jundan Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This study analyzed the impact of AI teaching on teaching quality, and revealed the mediating effect of student motivation and teacher expertise in the relationship of AI teaching and teaching quality. Based on the AI-TPACK theory, this study explored the impact of AI teaching on teaching quality and its mediating mechanism using questionnaires…
Descriptors: Educational Quality, Technological Literacy, Pedagogical Content Knowledge, Teacher Effectiveness
Andrea Wilson; Cheryl Burleigh – Journal of Educational Research and Practice, 2025
Protecting research integrity is crucial for maintaining trust in the scholarly record. Historically, threats to research integrity stemmed from deliberate human actions, such as data manipulation and misrepresentation. Generative artificial intelligence (GAI) is increasingly prevalent in higher education and is capable of generating research data…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Accuracy
Xiao Dong; Betty Anne Younker – Action, Criticism, and Theory for Music Education, 2025
Research into using AI for editing doctoral dissertation work in music education and a subsequent review of literature prompted this collaborative investigation. Specifically, this paper examines ChatGPT-Human collaboration in doctoral dissertation writing and editing through the lens of Martin Buber's (1958) "I-Thou" relation.…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Doctoral Dissertations
Molly Chehak; Maggie Debelius; Jake Holtschlag; Grace Kim; Kenny Le; Sarah Lyons; Hugo Nutting; Sophia Oh – International Journal for Students as Partners, 2025
We present a case study of co-creating a policy for the use of generative artificial intelligence (AI) in a writing course at Georgetown University in Washington, DC. Students and faculty in two sections of a required 1st-year writing course worked to draft and respond to a policy about AI and then reflected on the experience. Student reflections…
Descriptors: Artificial Intelligence, Computer Software, Policy Formation, Writing Instruction
Loo, Michelle – ProQuest LLC, 2023
Based on the Technology Acceptance Model (TAM) (Davis et al., 1989), this research examines the variables of perceived usefulness and perceived ease of use as predictors of video creation usage after software training. To gain a comprehensive understanding of the technology adoption process, the study also employed the Learning Adoption Trajectory…
Descriptors: Value Judgment, Usability, Predictor Variables, Computer Software
Autumn B. Hostetter; Natalie Call; Grace Frazier; Tristan James; Cassandra Linnertz; Elizabeth Nestle; Miaflora Tucci – Teaching of Psychology, 2025
Background: Psychology instructors frequently assign writing-to-learn exercises that include personal reflection. Generative Artificial Intelligence (GenAI) can write text that passes for humans in other domains. Objective: Do students and faculty rate a reflection written by GenAI differently than reflections written by students? Do students and…
Descriptors: Student Attitudes, Teacher Attitudes, College Faculty, Undergraduate Students
Xiaohua Liu – International Journal of Technology in Education, 2025
Despite increasing calls for integrating generative AI (GAI) into education, individual teachers still show disparate attitudes and actions. It is thereby pivotal to understand the reasons behind such divergent responses. However, factors affecting teachers' uptake of GAI in their instruction, particularly their endorsement of students' engagement…
Descriptors: Teacher Attitudes, Technological Literacy, Pedagogical Content Knowledge, Computer Software