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Showing 1 to 15 of 45 results Save | Export
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Anthemis Raptopoulou – European Journal of Education, 2025
Recent advancements in Artificial Intelligence (AI), particularly AI chatbots like ChatGPT, have sparked significant discussions in higher education regarding their impact on teaching and academic integrity. This study examines the integration of ChatGPT into a philosophy of education course for first-year Education students at a Swedish…
Descriptors: Artificial Intelligence, Computer Software, Undergraduate Students, Literacy Education
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Siran Li; Jiangyue Liu; Qianyan Dong – Australasian Journal of Educational Technology, 2025
Recent advancements in generative artificial intelligence (GenAI) have drawn significant attention from educators and researchers. However, its effects on learners' programming performance, self-efficacy and learning processes remain inconclusive, while the mechanisms underlying its efficiency-enhancing potential are underexplored. This study…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Science Education, Programming
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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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Shahper Richter; Marilyn Giroux; Inna Piven; Herbert Sima; Patrick Dodd – Journal of Marketing Education, 2025
AI advancements in higher education have reshaped marketing education, posing challenges for educators in integrating AI into curricula. This integration is essential for aligning with industry advancements and fostering responsible AI utilization among students. The purpose of this study is to provide insights into how marketing educators can…
Descriptors: Constructivism (Learning), Artificial Intelligence, Computer Software, Technology Integration
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Peter E. Doolittle; Krista P. Wojdak; C. Edward Watson; Dawn N. Adams; Gina Mariano – Journal of the Scholarship of Teaching and Learning, 2024
Multitasking has been demonstrated to negatively impact performance across a wide range of tasks, including in the classroom, yet students continue to multitask. This study examined the relationship between college students' perceptions and performance of technology-based multitasking. Technology-based multitasking and self-efficacy data were…
Descriptors: Undergraduate Students, Task Analysis, Critical Incidents Method, Self Efficacy
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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
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Omer Ari; Kara Hageman; Andrea Lofgren – Research & Practice in Assessment, 2024
Quizzes using test-enhanced learning features of spaced, varied, and interleaved retrieval practice have been shown to support consolidation of knowledge gains in students. In this pilot study, we examined the test-enhanced learning potential of a novel quizzing method designed to Spiral Assessment to Reinforce Knowledge (SPARK; Hageman, 2020)…
Descriptors: Online Courses, Computer Assisted Testing, Taxonomy, Learning Processes
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Dana Di Pardo Léon-Henri; Julien Henriet; Marie-Laure Betbeder; Françoise Greffier; Floran Carvalho – Teaching English with Technology, 2025
This research delves into the transformative potential of humanoid robotics and artificial intelligence (AI) in the field of Teaching English to Speakers of Other Languages (TESOL), spotlighting their innovative contributions to modern language instruction. With a focus on robot-assisted language learning (RALL) and AI-powered tools, particularly…
Descriptors: Artificial Intelligence, Robotics, Computer Software, Technology Integration
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Thanh Pham; Binh Nguyen; Son Ha; Thanh Nguyen Ngoc – Australasian Journal of Educational Technology, 2023
This research explored the potential of artificial intelligence (AI)-assisted learning using ChatGPT in an engineering course at a university in South-east Asia. The study investigated the benefits and challenges that students may encounter when utilising ChatGPT-3.5 as a learning tool. This research developed an AI-assisted learning flow that…
Descriptors: Artificial Intelligence, Engineering Education, Universities, Foreign Countries
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Rim Gouia-Zarrad; Cindy Gunn – International Electronic Journal of Mathematics Education, 2024
This research paper explores the integration of ChatGPT as a tool for interactive learning of numerical methods in a differential equations (DEs) course. DE course is crucial for engineering students to model real-world phenomena. However, many DE courses focus only on analytical solutions and neglect important numerical solutions. To overcome…
Descriptors: Learning Experience, Teaching Methods, Artificial Intelligence, Computer Software
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Schrum, Kelly – International Journal for the Scholarship of Teaching and Learning, 2023
Despite growing pressure to increase technology-enhanced assessment, research has repeatedly demonstrated a lack of widespread meaningful integration of technology in higher education. This is in part due to faculty reluctance which is compounded by lack of training and incentives. This qualitative research grounded in the scholarship of teaching…
Descriptors: Story Telling, Learning Processes, Learner Engagement, Computer Assisted Testing
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Ju Wang; Lu Guo; Jing qi Gao; Hua Zhao – Education and Information Technologies, 2024
This study is based on a comprehensive review of existing literature. Drawing upon the theories of task-technology fit (TTF) and technology adoption model (TAM), an integrated theoretical framework is developed. The framework places adaptability as a critical outcome variable and quality standard. This study constructs a student-centered online…
Descriptors: Foreign Countries, Online Courses, Distance Education, Technology Integration
Larry Wayne Evert Jr. – ProQuest LLC, 2024
The purpose of this mixed-method survey-based study addresses the underexplored area of undergraduate student perceptions of artificial intelligences (AI) impact in academia, specifically within the FCSEI in Romania. This research study will provide comprehensive findings on how AI can revolutionize teaching methodologies, learning processes, and…
Descriptors: Undergraduate Students, Artificial Intelligence, Technology Uses in Education, Student Surveys
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Bin Zou; Qinglang Lyu; Yining Han; Zijing Li; Weilei Zhang – Computer Assisted Language Learning, 2025
Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Yilmaz, Gamze – Communication Teacher, 2022
Originally developed in the field of design, design thinking is widely used as a pedagogical tool to help non-designer students cultivate creative thinking and problem-solving skills. Despite its positive effects on student learning via increased motivation, openness to new ideas, and creative thinking, the understanding of design thinking is…
Descriptors: Communications, Design, Thinking Skills, Case Studies
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