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Yohan Hwang; Seongyong Lee; Jaeho Jeon – Education and Information Technologies, 2025
Alongside technological advances, the educational potential of artificial intelligence (AI) chatbots and the metaverse has generated significant interest in the field of computer-assisted language learning (CALL). However, despite this heightened interest, there have been no studies that have delved into the effective integration of these two…
Descriptors: Technology Integration, Technology Uses in Education, Artificial Intelligence, Computer Mediated Communication
Kailiang Chen; Juanjuan Chen; Chung Wang – Knowledge Management & E-Learning, 2023
Teachers are increasingly encouraged to creatively integrate technology into their classroom instruction as designers of technology-enhanced learning (TEL). However, they are often not competent in designing TEL due to their lack of experience as participatory designers as well as the ill-structure nature of TEL design problem. Design thinking, as…
Descriptors: Instructional Design, Technology Integration, Empathy, Preservice Teachers
Melike Yigit Koyunkaya; Ayse Tekin Dede – Education and Information Technologies, 2024
While existing studies acknowledge the importance of using technology in the mathematical modelling process, questions about how to integrate digital tools into mathematical modelling are not still answered. This study aims to examine pre-service mathematics teachers' designing and solving mathematical modelling problems by using different digital…
Descriptors: Mathematics Instruction, Problem Solving, Video Technology, Preservice Teachers
Katarína Žáková; Diana Urbano; Ricardo Cruz-Correia; José Luis Guzmán; Jakub Matišák – Education and Information Technologies, 2025
Understanding how students interact with AI bots is a first step towards integrating them into instructional design. In this report, the results of a survey conducted in three European higher education institutions, and in the context of four different areas are presented. Among other things, they reveal for what purposes students use ChatGPT,…
Descriptors: Student Attitudes, Teacher Attitudes, Artificial Intelligence, Natural Language Processing
Jeanette Abrahamsen – ProQuest LLC, 2024
The purpose of this three-article dissertation is to better understand the role emerging technologies are playing in learning. This dissertation explores tools on a spectrum of reality from fully immersive virtual reality (VR), semi-immersive VR, non-immersive VR, augmented reality (AR), mixed reality (MR), and extended reality (XR). Three studies…
Descriptors: Higher Education, Educational Technology, Educational Change, Computer Simulation
Wong, Ling Chai; Tiong, Ying Ying; Tee, Poh Kiong; Chan, Benjamin Yin Fah – Malaysian Journal of Learning and Instruction, 2023
Purpose: The present study explores a tricomponent attitude model for "forced" online learning applied in the post-COVID era following the online learning transition. The study aims to provide a reference for future practitioners in the event a similar crisis results in the mandatory transition towards this study mode again. Methodology:…
Descriptors: Foreign Countries, Undergraduate Students, Electronic Learning, Distance Education
Czerkawski, Betül; Berti, Margherita – Research in Learning Technology, 2021
Recent years have seen a growing interest in augmented reality (AR) technologies due to their potential for simulating real-life situations and creating authentic learning tasks. Studies have shown that AR enables engaging and interactive learning experiences (e.g. Bressler and Bodzin 2013; Klopfer and Sheldon 2010) and can benefit student…
Descriptors: Computer Simulation, Simulated Environment, Learning Experience, Instructional Design
Witt, Nicholas E. – ProQuest LLC, 2023
Productively integrating technology is a vitally important part of teachers' practice (Barlow, 2021; Bezuk et al., 2017; NCTM, 2018). To adequately prepare Prospective Mathematics Teachers (PMTs) for the demands of teaching professionally, we need to understand more about how teachers and PMTs learn to integrate technology into their classroom.…
Descriptors: Pedagogical Content Knowledge, Mathematics Instruction, Mathematics Teachers, Preservice Teachers
Dwayne Wood; Scott H. Moss – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: The purpose of the study was to evaluate the impact of generative artificial intelligence (GenAI) on students' learning experiences and perceptions through a master's-level course. The study specifically focused on student engagement, comfort with GenAI and ethical considerations. Design/methodology/approach: The study used an action…
Descriptors: Artificial Intelligence, Learning Experience, Influence of Technology, Evaluation
Xu, Meimei; Stefaniak, Jill – TechTrends: Linking Research and Practice to Improve Learning, 2021
While several studies have been conducted exploring teachers' pedagogical reasoning practices, few studies have explored the influence of learning audiences' impact on teacher's decisions related to technology integration in early childhood classrooms. The purpose of this study was to provide a systematic review of empirical studies that have…
Descriptors: Student Attitudes, Teaching Methods, Decision Making, Technology Integration
Mehmet Mevlüt Odaci; Erman Uzun – Journal of Educational Technology and Online Learning, 2024
This study aimed to reveal the attitudes of the students who were subjected to measurement and evaluation in an online testing environment towards the computer based testing (CBT) platform and the factors that affect their attitudes. It also examined the students' cognitive loads in the exam designed with multimedia elements from message design…
Descriptors: Cognitive Processes, Difficulty Level, Preservice Teachers, Student Attitudes
Eshelman, Traci C.; Hogue, Mark – Turkish Online Journal of Educational Technology - TOJET, 2023
This case study aimed to discover pre-service teacher perceptions of a technology integration micro-course called TPACK_ID at XY University (pseudonym). The theories guiding this study were TPACK and the learner-centered education paradigm. TPACK_ID provided effective foundations for pre-service teachers to integrate technology using…
Descriptors: Preservice Teachers, Student Attitudes, Technological Literacy, Pedagogical Content Knowledge
Zhou, Liqiu; Xue, Sijia; Li, Ruiqian – SAGE Open, 2022
While online education has been increasingly adopted in different educational systems across the world, it is still a recent phenomenon in developing countries such as China. Various factors could affect learners' adoption of technology, including their online learning. In this study, we took the Technology Acceptance Model as the theoretical…
Descriptors: Online Courses, Integrated Learning Systems, Technology Integration, Intention
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
Wen, Huijing; Shinas, Valerie Harlow – Journal of Digital Learning in Teacher Education, 2021
The "Technological Pedagogical and Content Knowledge" (TPACK) conceptual framework captures the complex nature of teacher knowledge essential for effective teaching in the digital age. TPACK is difficult to assess, however, particularly among teacher candidates whose pedagogical knowledge is developing. This study aimed to examine…
Descriptors: Preservice Teachers, Technological Literacy, Technology Integration, Teaching Methods