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Showing 1 to 15 of 45 results Save | Export
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Bablu Karan; G. R. Angadi – TechTrends: Linking Research and Practice to Improve Learning, 2025
The integration of artificial intelligence (AI) in educational setting is rapidly growing. The huge impact of AI in education draws attention of school stakeholders to start incorporating AI in teaching and learning. AI in school curriculum is increasingly getting significant. The study aimed to understand factors influencing the incorporation of…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Secondary School Teachers
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Jana Duckett; Nicole M. Westrick – Communication Teacher, 2025
The integration of generative artificial intelligence (genAI) into public relations and communication education presents new challenges and ethical considerations for educators. This paper presents a series of activities to explore implications of genAI adoption in public relations and communication professions, focusing on the need to equip…
Descriptors: Artificial Intelligence, Communications, Public Relations, Ethics
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Jesús J. Cambra-Fierro; María Fuentes Blasco; María-Eugenia Eugenia López-Pérez; Andreea Trifu – Education and Information Technologies, 2025
Rapid technological advancements of recent decades have fueled, among other aspects, a global boom in the utilization of artificial intelligence (AI) tools across a variety of areas. Higher education, like other domains, has embraced these innovations, with ChatGPT emerging as one of the latest additions. Faculty perception, ability, and…
Descriptors: Educational Technology, Artificial Intelligence, College Faculty, Teacher Attitudes
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Kaspul Anwar; Juraidah Musa; Sallimah M. Salleh – Education and Information Technologies, 2025
This study examines the factors influencing preservice teachers' (PSTs) technology integration during teaching practice in teacher preparation programs. Utilizing a multidimensional framework, the study integrates models such as TPACK, UTAUT, and the Triple-E evaluation rubric, among others. The research involved a Qualtrics survey of 1,217 PSTs…
Descriptors: Preservice Teachers, Technology Uses in Education, Technology Integration, Preservice Teacher Education
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Emmanuel Senior Tenakwah; Gideon Boadu; Emmanuel Junior Tenakwah; Michael Parzakonis; Mark Brady; Penny Kansiime; Shannon Said; Sarah Eyaa; Raymond Kwojori Ayilu; Ciprian Radavoi; Alan Berman – Knowledge Management & E-Learning, 2025
The development and introduction of AI language models have transformed the way humans and institutions interact with technology, enabling natural and intuitive communication between humans and machines. This paper conducts a competence-based analysis of ChatGPT's task responses to provide insights into its language proficiency, critical analysis…
Descriptors: Higher Education, Evaluation Methods, Artificial Intelligence, Computer Software
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Yi Lyu; Azhar Bin Md Adnan; Lijuan Zhang – Education and Information Technologies, 2025
This study presents a comprehensive examination of the applications, challenges, and strategies associated with the integration of natural language processing (NLP) technologies in university teaching. By employing qualitative analyses, including interviews, classroom observations, and document review, the study explores the diverse applications…
Descriptors: Foreign Countries, Natural Language Processing, Technology Integration, Teaching Methods
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Serkan Perkmen – Journal of Digital Learning in Teacher Education, 2025
The current study introduced and assessed the effectiveness of a multimedia-based instructional strategy to enhance the technology integration self-efficacy of 98 special education pre-service teachers. 78% of participants demonstrated growth in their self-efficacy scores. Specifically, pre-service teachers with initial low and medium…
Descriptors: Preservice Teachers, Special Education Teachers, Self Efficacy, Technology Integration
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Betül Czerkawski – TechTrends: Linking Research and Practice to Improve Learning, 2025
In the rapidly evolving landscape of higher education, we are witnessing an unprecedented surge in the use of Artificial Intelligence (AI). This rapid surge necessitates a thorough exploration of how faculty members, instructional designers, and researchers adopt AI, especially GenAI, using learning design practices. The present research study…
Descriptors: Convergent Thinking, Creative Thinking, Creativity, Artificial Intelligence
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Tamilla Triantoro; Tuvana Rua; Guido Lang – Information Systems Education Journal, 2025
This study explores the effectiveness of experiential learning in teaching generative AI to entrepreneurs and small business owners. The in-person training program, grounded in Kolb's Experiential Learning Theory, aimed to enhance participants' understanding, attitudes, and perceived benefits of AI adoption. Through a structured cycle of Concrete…
Descriptors: Artificial Intelligence, Entrepreneurship, Computer Software, Experiential Learning
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Faith Sylvester Orim; Usani Joseph Ofem; Imelda Barong Edam-Agbor; Nsan Njar Nsan; John Arikpo Okri; Patience Ekpang; Blessing Ogunjimi; Isu Michael Egbe; James Omaji Ukatu; Cecilia Undie Angrey; Moses Agba Undie; Oluwaseun Akin-Fakorede; Dymphina Abua; Peace Asukwo – Discover Education, 2025
The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining…
Descriptors: Higher Education, College Faculty, Computer Assisted Testing, Technology Integration
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Fatema Al Nabhani; Mahizer Bin Hamzah; Hassan Abuhassna – Contemporary Educational Technology, 2025
This study sought to investigate the effects of employing artificial intelligence (AI) on the customization of educational content and the enhancement of academic performance and engagement among students and teachers. The research involved a sample of ninth-grade students and their educators from diverse subjects, utilizing questionnaires to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Individualized Instruction, Learning Experience
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Dayna O. H. Walker; Milan Larson – Journal of Management Education, 2025
The introduction of generative artificial intelligence (AI) technology is rapidly changing the field of human resource management (HRM). Management educators are called to prepare students for the opportunities and challenges this new technology will bring. Thus, our aim is to provide management educators with an assignment to introduce students…
Descriptors: Artificial Intelligence, Human Resources, Labor Force Development, Occupational Information
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Chun Lai; Boning Lyu; Lianjiang Jiang; Yang Gong – Language Learning & Technology, 2025
Teachers' role identities shape their teaching practices. However, research on the interplay between language teachers' role identities and classroom technology integration is rather limited. Based on interview responses and classroom observations of eight K-12 language teachers, this study revealed two contrastive forms of role identities that…
Descriptors: Language Teachers, Professional Identity, Elementary Secondary Education, Teacher Role
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C. Herodotou; M. Aristeidou; E. Scanlon; S. Kelley – Open Learning, 2025
This paper examines the pedagogical integration of Virtual Microscopes (VMs) in Virtual Learning Environments (VLEs), to identify best practice and improve online pedagogy. It has captured the perspectives of 12 Health and Earth Science university teachers, through in-depth interviews, about the current integration of the VM in online teaching,…
Descriptors: Laboratory Equipment, Electronic Learning, Teaching Methods, Teacher Attitudes
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Granit Baca; Genc Zhushi – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study aims to examine the integration of AI in student engagement and its benefits in the learning environment. Design/methodology/approach: The study employed a quantitative research method, analyzing data from a sample of 720 students. The econometric data analysis used the structural equation modeling (SEM) technique. Findings:…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Higher Education
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