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Lama Blaique; Hussein Ismail; Thomas P. Corbin Jr.; Hazem Aldabbas – Journal of Workplace Learning, 2025
Purpose: This study aims to explore the dynamic interplay between employee resilience (ER) and learning organisations, specifically examining the mediating influence of psychological empowerment (PE). Design/methodology/approach: Drawing on responses from 208 participants working in the United Arab Emirates, we used regression analysis with…
Descriptors: Foreign Countries, Employees, On the Job Training, Artificial Intelligence
Priya Saha; Md. Shakhawat Hossain; Nirmal Chandra Roy; Abdullah Al Masud; Ruhul Amin – On the Horizon, 2025
Purpose: This study aims to evaluate students' intention and actual use (AU) of artificial intelligence (AI) tools' to discover how the power of AI influences learning and academic success. Design/methodology/approach: This paper used the unified theory of acceptance and use of technology (UTAUT) to develop a structural equation model (SEM) and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Student Behavior
European University Association, 2023
Following the widespread concern and debate provoked by the arrival of ChatGPT and similar artificial intelligence (AI) tools, the European University Association's Learning and Teaching Steering Committee shares key considerations for European universities. Noting the current shortcomings and potential benefits of these technologies, this…
Descriptors: Educational Technology, Artificial Intelligence, Higher Education, Technology Integration
Boutilier, Justin J.; Chan, Timothy C. Y. – INFORMS Transactions on Education, 2023
Artificial intelligence (AI) and operations research (OR) have long been intertwined because of their synergistic relationship. Given the increasing popularity of AI and machine learning in particular, we face growing demand for educational offerings in this area from our students. This paper describes two courses that introduce machine learning…
Descriptors: Artificial Intelligence, Operations Research, Undergraduate Students, Engineering Education
Bernasco, Wim; Hoeben, Evelien M.; Koelma, Dennis; Liebst, Lasse Suonperä; Thomas, Josephine; Appelman, Joska; Snoek, Cees G. M.; Lindegaard, Marie Rosenkrantz – Sociological Methods & Research, 2023
Social scientists increasingly use video data, but large-scale analysis of its content is often constrained by scarce manual coding resources. Upscaling may be possible with the application of automated coding procedures, which are being developed in the field of computer vision. Here, we introduce computer vision to social scientists, review the…
Descriptors: Video Technology, Social Science Research, Artificial Intelligence, Sociology
Mastrothanasis, Konstantinos; Zervoudakis, Konstantinos; Kladaki, Maria; Tsafarakis, Stelios – Education and Information Technologies, 2023
Theatrical performance constitutes a complicated way for students to express and to communicate with each other, since it targets both various artistic and educational goals. Even though it constitutes a top moment of students' expression, several students do not feel comfortable when participating in such cultural activities, as performance…
Descriptors: Anxiety, Public Speaking, Evaluation Methods, Artificial Intelligence
Rahm, Lina – Learning, Media and Technology, 2023
The relationship between technical development and education is a reciprocal one, where education always stands in relation to those skills, competencies, and techniques that are anticipated as necessary in a technological future. At the same time, skills and competencies are also necessary to drive innovation and technical development for the…
Descriptors: Automation, Artificial Intelligence, Educational History, Genealogy
Lahoud, Christine; Moussa, Sherin; Obeid, Charbel; El Khoury, Hicham; Champin, Pierre-Antoine – Education and Information Technologies, 2023
Academic advising is inhibited at most of the high schools to help students identify appropriate academic pathways. The choice of a career domain is significantly influenced by the complexity of life and the volatility of the labor market. Thus, high school students feel confused during the shift period from high school to university, especially…
Descriptors: Academic Advising, Artificial Intelligence, Majors (Students), Career Guidance
Yüregilli Göksu, Derya; Duran, Volkan – International Journal of Curriculum and Instruction, 2023
The aim of the study is the examination of the flipped classroom approach used in foreign language lessons on the opinions of gifted students in the context of bibliometric analysis of the literature and the analysis of GPT-3 model chatbot. In this study, the descriptive method was used. It is aimed to obtain in-depth information according to…
Descriptors: Flipped Classroom, Bibliometrics, Artificial Intelligence, Models
Chan, Cecilia Ka Yuk; Hu, Wenjie – International Journal of Educational Technology in Higher Education, 2023
This study explores university students' perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed…
Descriptors: Artificial Intelligence, Barriers, Educational Benefits, Higher Education
Rahmah Ahmad Salameh Alissa; Munes Adeeb Hamadneh – International Journal of Education in Mathematics, Science and Technology, 2023
The study aimed to identify the level of science and mathematics teachers' employment of artificial intelligence applications in the educational process in Jordan from their point of view. The study followed the descriptive method to achieve the objectives of the study. A questionnaire consisting of 22 items was developed, and the study sample…
Descriptors: Science Teachers, Mathematics Teachers, Artificial Intelligence, Technology Uses in Education
Chun-Hsiung Tseng; Hao-Chiang Koong Lin; Andrew Chih-Wei Huang; Jia-Rou Lin – Cogent Education, 2023
This study explores the use of machine learning and physiological signals to enhance learning performance based on students' personality traits. Traditional personality assessment methods often yield unreliable responses, prompting the need for a novel approach utilizing objective data collection through physiological signals. Participants from a…
Descriptors: Artificial Intelligence, Personality Traits, Foreign Countries, Engineering Education
Noura Zeroual; Mahnane Lamia; Mohamed Hafidi – Education and Information Technologies, 2024
Traditional education systems do not provide students with much freedom to choose the right training of study that suits them, which leads on long-term to the negative effects not only on social, economic and mental' well-being of student, but also will have a negative effect on the quality of the work produced by this student in the future. In…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, Computer Science Education
Ravi Sankar Pasupuleti; Deepthi Thiyyagura – Education and Information Technologies, 2024
The aim of this research is to discover the continuance and recommendation intention of higher education students who are using ChatGPT. Specifically, we proposed an extend technology continuance theory (TCT) by integrating the recommendation intention. A structured Google form is used to collect the data from the higher education students…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Intention
Reynald M. Cacho – Online Learning, 2024
The study proposes a balanced approach and flexible guidelines for incorporating generative artificial intelligence (AI) into university-level teaching and learning processes at both the university-departmental level and within individual academic autonomy. Building on the AI Ecological Education Policy Framework, the guidelines offer a suggestive…
Descriptors: Artificial Intelligence, College Instruction, Learning Processes, Guidelines