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Eliza Rossiter; T. J. Thomson; Rachel Fitzgerald – Interactive Technology and Smart Education, 2024
Purpose: The purpose of this study is to evaluate the use and effectiveness of a bespoke mobile learning resource, Pocket Tutor. This resource responds to a number of teaching and learning challenges within the tertiary education context. These include those related to the number and type of learning activities that can be offered, class pacing,…
Descriptors: College Students, Electronic Learning, Handheld Devices, Technology Uses in Education
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
Elizeth Mayrene Flores Hinostroza; Derling Jose Mendoza; Mercedes Navarro Cejas; Edinson Patricio Palacios Trujillo – International Electronic Journal of Mathematics Education, 2025
This study builds on the increasing relevance of technology integration in higher education, specifically in artificial intelligence (AI) usage in educational contexts. Background research highlights the limited exploration of AI training in educational programs, particularly within Latin America. AI has become increasingly pivotal in educational…
Descriptors: Science Instruction, Artificial Intelligence, Technology Integration, Technology Uses in Education
Jessie S. Barrot – Technology, Knowledge and Learning, 2025
Significant advancements in artificial intelligence (AI) technologies have led to the development of Google Gemini, which can be used to provide automated writing assistance. Within higher education, this feature extends to research writing. However, skepticism is particularly evident as students, teachers, and researchers in universities explore…
Descriptors: Artificial Intelligence, Computer Software, Computer Uses in Education, Educational Research
Ishartono, Naufal; Nurcahyo, Adi; bin Sufahani, Suliadi Firdaus; Afiyah, Asyifa Nur – Asian Journal of University Education, 2022
Many studies show the effectiveness of using the Flipped Learning model to increase students' understanding. However, there are scant research results that integrate PowerPoint in Flipped Learning to improve students' understanding. The present study aimed to describe the effectiveness of the PowerPoint-Based Flipped Learning model in increasing…
Descriptors: Computer Software, Flipped Classroom, Technology Integration, College Students
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
Luciana Oliveira; Célia Tavares; Artur Strzelecki; Manuel Silva – Electronic Journal of e-Learning, 2025
As generative artificial intelligence tools like ChatGPT become increasingly integrated into educational environments, understanding their impact on critical thinking is crucial. Despite growing concerns about AI's potential to diminish students' independent reasoning, there is a lack of research tools specifically designed to evaluate students'…
Descriptors: Critical Thinking, Artificial Intelligence, Computer Software, Technology Integration
Joy Robbins; Milena Marinkova – Practitioner Research in Higher Education, 2023
While studies have extolled the value of using online rubrics, the benefits have usually been presented in terms of enhancing marking or delivery of teacher feedback. These benefits are welcome, but they nonetheless couch digital as simply an improved way for "old paradigm" transmission approaches to feedback that do little to help…
Descriptors: Scoring Rubrics, Barriers, Feedback (Response), Information Literacy
Miroslava Petrova; Claas Kuhnen – Design and Technology Education, 2025
Integration of Artificial Intelligence (AI) in the design process is a growing area of research interest. Three years after its public launch in 2022, AI has already established itself as the most disruptive tool revolutionizing how designers conceptualize, iterate and innovate. As AI technologies continue to evolve, it is pertinent that design…
Descriptors: Artificial Intelligence, Computer Software, International Cooperation, Institutional Cooperation
Neda M. Maenza; Tijana Gajic – Research in Pedagogy, 2024
Innovative concepts coupled with cutting-edge digital advancements have ushered in a transformative era for English language learners worldwide. This research delves into the efficacy of the WordUp mobile application in facilitating the acquisition of new English vocabulary. The application has notably organized English words based on their…
Descriptors: Student Attitudes, English (Second Language), Second Language Learning, Second Language Instruction
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
Salah Zogheib – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study aims to explore factors influencing engineering students' acceptance of the Google Classroom platform in communication skills courses to ensure more active engagement and better performance. Background: In response to the underutilization and hesitancy in adopting educational technologies, this study investigates the…
Descriptors: Learning Experience, Engineering Education, Computer Software, Computer Mediated Communication
Jerry Huang; Atsushi Mizumoto – Education and Information Technologies, 2025
This study aimed to examine the effect of incorporating the generative pre-trained AI chatbot, ChatGPT, into an instructor-led writing class on the motivation of Japanese university students. This study examines changes in students' Ideal L2 Self, Ought-to L2 Self, and L2 Learning Experience using Dörnyei's L2 Motivational Self System (L2MSS)…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Technology Uses in Education
Rejón-Guardia, Francisco; Polo-Peña, Ana Isabel; Maraver-Tarifa, Guillermo – Journal of Computing in Higher Education, 2020
The international higher education system should be grounded in an educational approach in which teaching and learning methods aim to transform the student into an active agent in their learning process. The present study aims to learn how intention to use a personal learning environment based on Google applications for supporting collaborative…
Descriptors: Educational Environment, Computer Software, Internet, Active Learning
David B. Nelson; Anaelle Emma Gackiere; Samantha Elizabeth LeGrand; Daniel A. Guberman – Thresholds in Education, 2025
In response to the significant disruption posed by emergent AI technology, we propose a four part framework for teaching and learning practice and development. Rather than focus on the specific technologies of the moment, this framework provides actionable suggestions for individuals with varying views of AI and its positive and negative…
Descriptors: Teaching Methods, Learning Processes, Algorithms, Artificial Intelligence