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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
Darmawansah Darmawansah; Gwo-Jen Hwang – Educational Technology Research and Development, 2024
Low-stakes assessment has gained attention in recent years due to its link to enhancing learning effects and its essential role in learning evaluation. Unlike high-stakes assessments, low-stakes assessments have little or no consequences for learners' academic performance, and are designed to support the feedback-oriented learning process.…
Descriptors: Robotics, Student Evaluation, Academic Achievement, Technology Uses in Education
Kun-Hung Cheng – Educational Technology Research and Development, 2024
This study aimed to establish a fully 3D modeled immersive virtual reality (IVR) system for primary school students learning about plants and evaluate teachers' perceptions of the usage of the system and pupils' flow experiences and learning attitudes. There were 5 teachers with expertise in science and IVR experience who were first interviewed to…
Descriptors: Computer Simulation, Plants (Botany), Teacher Attitudes, Student Attitudes
Sing, Chai Ching; Teo, Timothy; Huang, Fang; Chiu, Thomas K. F.; Xing wei, Wang – Educational Technology Research and Development, 2022
As Artificial Intelligence (AI) is rapidly integrated into existing technologies which has brought forth the fourth industrial and learning revolution, designing curriculum for AI education has become an important strategic development for education authorities throughout the world. Framed broadly from the Theory of Planned Behavior, this study…
Descriptors: Secondary School Students, Intention, Technology Uses in Education, Artificial Intelligence
Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
Foulger, Teresa S.; Buss, Ray R.; Su, Man – Educational Technology Research and Development, 2021
Prior to this study, a testable model for the influence of contextual knowledge (XK) on teacher candidates' intention to integrate technology into classroom instruction had not been established. We applied the Decomposed Theory of Planned Behavior (DTPB) to aid us in this effort. Our work (a) provided a theoretical conceptualization for factors of…
Descriptors: Preservice Teachers, Intention, Technology Integration, Educational Technology
Ying Hu; Gwo-Jen Hwang – Educational Technology Research and Development, 2024
In the contemporary society, it is important to cultivate students' visual literacy. However, there has been a lack of sufficient training for students to improve their visual literacy in the classroom. A problem-posing approach (Visual Thinking Strategy, VTS, a learning strategy with question sequences to facilitate critical inquiry) has been…
Descriptors: Visual Literacy, Technological Literacy, Critical Thinking, Teaching Methods
Islamoglu, Hakan; Kabakci Yurdakul, Isil; Ursavas, Omer Faruk – Educational Technology Research and Development, 2021
The purpose of this study was to develop a mobile learning acceptance model for pre-service teachers and to examine the relationships among technology acceptance factors. The literature on mobile learning acceptance lacks studies on pre-service teachers and studies that include concrete mobile learning scenarios. To overcome these problems, we…
Descriptors: Preservice Teachers, Preservice Teacher Education, Educational Technology, Technology Uses in Education
Al-Samarraie, Hosam; Shamsuddin, Aizat; Alzahrani, Ahmed Ibrahim – Educational Technology Research and Development, 2020
The recent movement to integrate the flipped classroom model into higher education has resulted in significant changes that affected both teaching and learning practices in different ways. After almost a decade of research on the flipped classroom model, different emergent outcomes have been reported in a domain specific context. To gain a…
Descriptors: Homework, Video Technology, Educational Technology, Technology Uses in Education
Huang, Fang; Sánchez-Prieto, José Carlos; Teo, Timothy; García-Peñalvo, Francisco J.; Sánchez, Eva María Torrecilla; Zhao, Chen – Educational Technology Research and Development, 2020
As an emerging learning method, mobile technologies allow students to gain knowledge via both formal and informal learning. In spite of the advantages mobile technologies bring to education, its adoption for learning purposes has not been encouraging. Existing research on mobile learning acceptance has been mainly focused on technological and use…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Telecommunications
Rustam Shadiev; Ziheng Zhang; Yueh-Min Huang – Educational Technology Research and Development, 2025
This study employed speech-enabled language translation (SELT) technology in lectures presented in English as a medium of instruction (EMI). Previous research had students viewing pre-recorded lectures with incorporated content translations in controlled laboratory settings. In contrast, students in the present study experienced live lectures in…
Descriptors: Translation, Audio Equipment, Speech Communication, English (Second Language)
Huang, Fang; Teo, Timothy; Zhou, Mingming – Educational Technology Research and Development, 2020
This large-scale study used the extended technology acceptance model to examine the different factors influencing Chinese university students' intentions to use the Internet-based technology with a learning focus. Specifically, the subject norm was conceptualised as a three-dimensional construct consisting of teacher influence, peer influence and…
Descriptors: Foreign Countries, Educational Technology, College Students, Internet
Zhu, Yue; Zhang, Jia Hua; Au, Wing; Yates, Greg – Educational Technology Research and Development, 2020
Studies have been conducted on university students' continuous intention to learn online from the perspectives of learning motivation and capability, perceptions or attitudes, and online learning experiences. However, few have examined how the above factors will relate to each other and contribute to students' online learning intention. This…
Descriptors: College Students, Student Attitudes, Online Courses, Blended Learning
Ding, Seong Lin; Chew, Esyin – Educational Technology Research and Development, 2019
Theoretical claims about the benefits of online feedback suggest it can facilitate language learning. However, despite the calls for new digital literacies on language education, attitudes of educators have not been encouraging. To delve further into this issue, the present study addresses the following research concerns: (1) learners' metaphoric…
Descriptors: Educational Technology, Figurative Language, Feedback (Response), Student Attitudes
Shin, Suhkyung; Brush, Thomas A.; Glazewski, Krista D. – Educational Technology Research and Development, 2020
The purpose of this study was to examine how students' academic achievement and group performance related to their perceptions of the usefulness of hard, peer, and teacher scaffolds. A single instrumental case approach that integrated quantitative and qualitative analysis was employed for this study, which involved data gathered from 163 students…
Descriptors: Scaffolding (Teaching Technique), Active Learning, Inquiry, Technology Uses in Education
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