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Mostafa Al-Emran; Bassam Abu-Hijleh; AbdulRahman A. Alsewari – Education and Information Technologies, 2025
Generative Artificial Intelligence (AI) refers to advanced systems capable of creating new content by learning from vast datasets, including text, images, and code. These AI tools are increasingly being integrated into various sectors, including education, where they have the potential to enhance learning experiences. While the existing literature…
Descriptors: Artificial Intelligence, Technology Integration, Information Systems, Success
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Mohamed Hashim, Mohamed Ashmel; Tlemsani, Issam; Duncan Matthews, Robin – Education and Information Technologies, 2022
Universities focus on digital transformation strategy to stay competitive in global education, staying competitive is taking on quite a different meaning in the 21st century -- it includes the long-term implications of COVID-19 -- the interaction of politics and economics, the emergence of China as a superpower, the end of neoliberalism, the…
Descriptors: Universities, Models, Sustainability, Educational Change
Kevan, Jonathan Mark – ProQuest LLC, 2022
Competency-Based Education (CBE) is proposed as a model that can solve some of higher education's current challenges including the one size fits all approach to student learning. CBE targets this issue by focusing on a student autonomy and personalized learning approaches; however, successful implementation of this requires students have a level…
Descriptors: Competency Based Education, Higher Education, Models, Undergraduate Students
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Gunuc, Selim – Journal of College Student Retention: Research, Theory & Practice, 2023
Student engagement refers to the quality and quantity of students' psychological, cognitive, emotional and behavioral reactions to in-class and out-of-class academic and social activities to achieve successful learning outcomes. In literature, the Campus-Class-Technology (CCT) theory in student engagement was developed and tested with some models,…
Descriptors: Learner Engagement, Educational Technology, Models, Technology Integration
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Hon Keung Yau; Ka Fai Tung – Turkish Online Journal of Educational Technology - TOJET, 2025
This study explores the development and evaluation of a chatbot model designed to facilitate learning within a department of a university. The project aims to enhance the learning experience by incorporating customized data into the chatbot's knowledge base, enabling personalized and context-aware interactions. The research investigates the…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Computer Software, Technology Integration
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Anthony Bwalya; Marcellin Rutegwa; Dorothy Tukahabwa; Thumah Mapulanga – Journal of Baltic Science Education, 2023
The effective use of technology in teaching can aid in enhancing the teaching and learning of a subject matter. This study aimed to enhance the technological pedagogical content knowledge (TPACK) of five pre-service biology teachers (PSBTs) by implementing a TPACK-Instructional Design (TPACK-ID) model-based technology integration course at a…
Descriptors: Preservice Teachers, Biology, Science Teachers, Pedagogical Content Knowledge
Nicole Calma-Roddin; Kevin Park; Jacqueline Keighron – Journal of Chemical Education, 2023
The three-dimensional nature of macromolecules is often difficult for undergraduate students to grasp. This leads to difficulties in understanding key concepts in Biochemistry, such as protein function and conformational change. Virtual reality (VR) technologies, which can aid students in three-dimensional visualizations, have been shown to…
Descriptors: Technology Integration, Technology Uses in Education, Museums, Undergraduate Students
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Chih-Hung Lin; Dadan Sumardani – Interactive Learning Environments, 2024
Virtual Reality (VR) has been widely adopted in educational research; however, its implementation in the classroom is still not as well known as in the research field. In other words, there is a gap between researchers and practitioners regarding the pedagogical issue. This study aimed to explore how VR could be applied in science classrooms using…
Descriptors: Computer Simulation, Teaching Methods, Science Education, Authentic Learning
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Chatzopoulos, Avraam; Kalogiannakis, Michail; Papadakis, Stamatis; Papoutsidakis, Michail – Education Sciences, 2022
This research evaluates a novel, modular, open-source, and low-cost educational robotic platform in Educational Robotics and STEM Education. It is the sequel of an action research cycle on which the development of this robot is based. The impetus for the need to develop this came from the evaluation of qualitative and quantitative research data…
Descriptors: Educational Technology, Robotics, Action Research, Technology Integration
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Shamma Hamdoon Al Naqbi – SAGE Open, 2024
Technology brings tremendous changes in education because it is a system that automates all educational institutions and academic performance. Therefore, the study examines the effect of technology's system, information and service quality on faculty, operational and university performance. To explore the more contextual factors, this study…
Descriptors: Technology Uses in Education, Foreign Countries, Success, Technology Integration
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Jamie Magrill; Barry Magrill – Teaching & Learning Inquiry, 2024
The rapid advancement of artificial intelligence technologies, exemplified by systems including Open AI's ChatGPT, Microsoft's Bing AI, and Google's Bard (now Gemini 1.5Pro), present both challenges and opportunities for the academic world. Higher education institutions are at the forefront of preparing students for this evolving landscape. This…
Descriptors: Higher Education, Artificial Intelligence, Technological Advancement, Technology Integration
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Michael Agyemang Adarkwah – Adult Learning, 2025
Adult learners are a neglected species in the generative artificial intelligence (GenAI) era. The sweeping changes brought by GenAI in the educational arena have implications for adult learning. GenAI in education will usher in a world of adult learning that will be radically different from its predecessor. However, how adult learners will apply…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Adult Learning
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Mohammed A. E. Suliman; Wenlan Zhang; Rehab A. I. Suluman; Kamal Abubker Abrahim Sleiman – Education and Information Technologies, 2025
This study contributes to the knowledge about mobile learning among medical students in the context of developing countries. This research used the Technology Acceptance Model (TAM) to study the preconditions for m-learning among medical students. A twenty-item self-reported survey was used to gather data from 387 medical students, and structural…
Descriptors: Medical Students, Student Attitudes, Information Technology, Technology Integration
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Elizabeth Langran; Paula Cristina R. Azevedo; Oliver Dreon; Stephanie Smith Budhai; Clara Hauth – Impacting Education: Journal on Transforming Professional Practice, 2025
This essay presents a framework of critical questions designed to guide EdD program leaders and faculty in integrating generative artificial intelligence (GenAI) into their curricula and policies. The REPAC framework aids in reflecting, reenvisioning, and redesigning educational practices to better incorporate GenAI, focusing on how candidates…
Descriptors: Doctoral Programs, Education Majors, Artificial Intelligence, Natural Language Processing
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Lagstedt, Altti; Lindstedt, Juha P.; Kauppinen, Raine – Education and Information Technologies, 2020
Digitalization challenges the way in which business processes are seen. The potential for enhancement is even recognized in business areas that traditionally have little to do with IT. Even though universities have long-standing traditions of how work is organized, they have not been eager to adopt digitalized processes. Because core university…
Descriptors: Technology Integration, Universities, Information Technology, College Administration
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