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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
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
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
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
Making AI Generative for Higher Education: Adoption and Challenges among Instructors and Researchers
Claire Baytas; Dylan Ruediger – ITHAKA S+R, 2025
In fall 2023, Ithaka S+R launched a collective research project with the objective of studying generative AI's impact on teaching, learning, and research at the postsecondary level. Through a collaboration with 19 universities from across the US and Canada, the "Making AI Generative for Higher Education" project has provided an…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
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
Xiaoni Zhang – Journal of Information Systems Education, 2025
This teaching tip explores the integration of AI tools into database education. The author describes how instructors can use AI tools to prepare teaching materials and how students can use AI to facilitate database development. The teaching tips provided encompass both course-level objectives and assignment-specific strategies. The inclusion of AI…
Descriptors: Databases, Technology Integration, Critical Thinking, Thinking Skills
Yang Gao; Qikai Wang; Xiaochen Wang – Asia Pacific Journal of Education, 2024
Nowadays, the prevalence of ChatGPT and other Large Language Models (LLMs) has posed significant challenges into the education field, particularly in English education. In response, this study aimed to investigate the beliefs of 95 EFL university teachers from Chinese universities regarding the integration of LLMs in language education, as well as…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Teaching Methods