Publication Date
| In 2026 | 0 |
| Since 2025 | 29 |
Descriptor
Source
| Educational Technology… | 29 |
Author
| Gwo-Jen Hwang | 5 |
| Carrie Demmans Epp | 2 |
| Ying Cui | 2 |
| Yongbin Hu | 2 |
| Ahmet Ayaz | 1 |
| Arthur Money | 1 |
| Bing Han | 1 |
| Chen-Chen Liu | 1 |
| Chi-Jen Lin | 1 |
| Ching Sing Chai | 1 |
| Ching-Huei Chen | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 29 |
| Reports - Research | 27 |
| Tests/Questionnaires | 2 |
| Information Analyses | 1 |
| Reports - Descriptive | 1 |
Education Level
| Higher Education | 12 |
| Postsecondary Education | 12 |
| Elementary Education | 3 |
| Secondary Education | 3 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Tian Luo; Pauline S. Muljana; Xinyue Ren; Dara Young – Educational Technology Research and Development, 2025
The emergence of generative artificial intelligence (GenAI) has caused significant disruptions on a global scale in various workplace settings, including the field of instructional design (ID). Given the paucity of research investigating the impact of GenAI on ID work, we conducted a mixed methods study to understand instructional designers (IDs)'…
Descriptors: Artificial Intelligence, Familiarity, Instructional Design, Brainstorming
Habeeb Yusuf; Arthur Money; Damon Daylamani-Zad – Educational Technology Research and Development, 2025
The ever-changing global educational landscape, coupled with the advancement of Web3, is seeing rapid changes in the ways pedagogical artificially intelligent conversational agents are being developed and used to advance teaching and learning in higher education. Given the rapidly evolving research landscape, there is a need to establish what the…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Higher Education
Fan Yang; Jill E. Stefaniak – Educational Technology Research and Development, 2025
In this study, Q methodology was employed to explore instructional designers' perceptions of integrating ChatGPT in their design practices. Compared with traditional survey-based instruments that rely heavily on Likert-scale items, open-ended questions, interviews, or focus groups, Q methodology has the potential to systematically reveal and study…
Descriptors: Instructional Design, Technology Integration, Artificial Intelligence, Teacher Attitudes
Kaili Lu; Jianrong Zhu; Feng Pang; Rustam Shadiev – Educational Technology Research and Development, 2025
Artificial Intelligence (AI) has brought about significant changes in our lives, making AI literacy a crucial endeavor for the future. Despite its growing importance in academia, there is limited empirical research on its impact on college students' higher order thinking skills (HOTS). The present study systematically and comprehensively explores…
Descriptors: College Students, Artificial Intelligence, Digital Literacy, Thinking Skills
Xin Li; Wanqing Hu; Yanyan Li – Educational Technology Research and Development, 2025
Collaboration scripts are widely employed in online collaborative learning to enhance student engagement and facilitate collaboration. However, the optimal level of scripting remains a subject of debate. This study aims to address this issue by designing and developing different types of collaborative scripts implemented through conversational…
Descriptors: Artificial Intelligence, Scripts, Learner Engagement, Electronic Learning
Huiying Cai; Linmeng Lu; Bing Han; Lung-Hsiang Wong; Xiaoqing Gu – Educational Technology Research and Development, 2025
The potential of classroom videos to enhance reflective practices in pre-service teacher education is hindered by the sheer volume of captured activities. An AI-powered teacher dashboard could address this challenge by analyzing and visualizing information extracted from these videos, supporting reflection in video-based professional learning…
Descriptors: Preservice Teachers, Reflection, Artificial Intelligence, Technology Uses in Education
Ching-Huei Chen; Victor Law – Educational Technology Research and Development, 2025
This study explores the roles of students' help-seeking profiles when seeking help from AI chatbots, specifically ChatGPT, in a digital game-based learning environment, "Summon of Magicrystal." The study involved 102 middle school students who played an online game with the provision of ChatGPT and sought help from ChatGPT while solving…
Descriptors: Help Seeking, Game Based Learning, Artificial Intelligence, Computer Software
Panagiotis Kosmas; Efi A. Nisiforou; Evgenia Kounnapi; Spyros Sophocleous; Giannis Theophanous – Educational Technology Research and Development, 2025
Artificial Intelligence (AI) tools are becoming increasingly popular in education, providing teachers with new opportunities to enhance student learning experience and build upon existing teaching practices. This study employs a co-design approach to develop AI-integrated learning materials and explore their implementation in elementary…
Descriptors: Artificial Intelligence, Technology Uses in Education, Literacy Education, Foreign Countries
Yen-Fen Lee; Gwo-Jen Hwang; Pei-Ying Chen – Educational Technology Research and Development, 2025
Self-regulated learning (SRL) is an approach to learning which aims to improve learners' learning outcomes. In the SRL cycle, the quality of students' reflections is a critical factor in SRL performance that can improve learning outcomes. The feedback provided by teachers often has a significant impact on the quality of students' reflections.…
Descriptors: Independent Study, Reflection, Feedback (Response), Artificial Intelligence
Jingwen Sun; Qing Wu; Zhiji Ma; Wennan Zheng; Yongbin Hu – Educational Technology Research and Development, 2025
Generative Artificial Intelligence (GAI) has received widespread attention recently, influencing teacher education in various ways. However, there is little discussion on pre-service teachers' behavioral intention towards GAI. Therefore, this study employs subjective norm, AI self-efficacy, facilitating conditions, and trust to expand the…
Descriptors: Preservice Teachers, Artificial Intelligence, Student Attitudes, Technology Uses in Education
Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
Marcus Pietsch; Dana-Kristin Mah – Educational Technology Research and Development, 2025
Rapid developments in artificial intelligence (AI) require dynamic adaptation in education to integrate new technologies timely and sustainably. In particular, the rise of generative AI requires leadership to implement it in a meaningful way for teaching and learning. School leaders have a special role to play in driving digital transformation.…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Di Wu; Xinyan Zhang; Kaili Wang; Longkai Wu; Wei Yang – Educational Technology Research and Development, 2025
Artificial Intelligence (AI) is driving ecological shifts and systemic reforms in education. As practitioners of educational reform, teachers' behavioral intention to experience and accept the effectiveness of AI technologies will affect the quality of educational change. From an educational ecology perspective, this study explores the impact of…
Descriptors: Teacher Behavior, Intention, Technology Uses in Education, Educational Technology
Ji Hyun Yu; Devraj Chauhan; Rubaiyat Asif Iqbal; Eugene Yeoh – Educational Technology Research and Development, 2025
How is the academic community conceptualizing and approaching the integration of AI in education, considering its potential, complexities, and challenges? This study addresses this fundamental question by employing a multifaceted approach that combines co-occurrence network analysis, latent Dirichlet allocation (LDA), and sentiment analysis on a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Trends, Trend Analysis
Seyma Yildirim-Erbasli; Okan Bulut; Carrie Demmans Epp; Ying Cui – Educational Technology Research and Development, 2025
Conversational agents have been designed to improve instruction quality and support student learning. In addition to their instructional use, they can be incorporated into assessment--conversation-based assessment (CBA). This study primarily introduces a CBA with selected-response and constructed-response tests as a formative assessment tool for…
Descriptors: Higher Education, Artificial Intelligence, Computer Mediated Communication, Technology Uses in Education
Previous Page | Next Page »
Pages: 1 | 2
Peer reviewed
Direct link
