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Download full textXiaohua Liu – International Journal of Technology in Education, 2025
Despite increasing calls for integrating generative AI (GAI) into education, individual teachers still show disparate attitudes and actions. It is thereby pivotal to understand the reasons behind such divergent responses. However, factors affecting teachers' uptake of GAI in their instruction, particularly their endorsement of students' engagement…
Descriptors: Teacher Attitudes, Technological Literacy, Pedagogical Content Knowledge, Computer Software
Jennifer Head; Larysa Lysenko; Anne Wade; Philip C. Abrami – International Journal of Technology in Education, 2023
Good teachers are a major predictor of students' success in school and beyond it. Finding ways to increase the quality of teaching has been a concern for educational systems across various income contexts and, particularly, in the Global South. This paper discusses the iterative design of an online teacher professional development program geared…
Descriptors: Foreign Countries, Faculty Development, Technology Uses in Education, Instructional Design
Hsiao-Wen Hsu – International Journal of Technology in Education, 2024
The implementation of computer-assisted pronunciation training (CAPT) has been proven to be successful in improving learners' pronunciation abilities. Automatic speech recognition (ASR) software was used to provide mediated support to 103 pre-intermediate level students (62 males and 41 females). After experiencing a two-semester of CAPT…
Descriptors: Automation, Assistive Technology, Pronunciation, English Language Learners
Christopher Saarna – International Journal of Technology in Education, 2024
This study seeks to clarify whether teachers are able to distinguish between essays written by English L2 students or generated by ChatGPT. 47 instructors who hold experience teaching English to native speakers of Japanese in universities or other higher education institutions were tested on whether they could identify between human written essays…
Descriptors: Identification, Artificial Intelligence, Computer Software, Grammar
Phetsut, Piyaporn; Waemusa, Zainee – International Journal of Technology in Education, 2022
With the rapid growth of digital technology, mobile phones are widely used for EFL teaching and learning. However, little is known about the effectiveness of integrating a mobile application into EFL classrooms to improve oral accuracy in Thai school contexts. An instructional intervention grounded with Mobile Assisted Language Learning (MALL) and…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Pretests Posttests
Thekes, Istvan – International Journal of Technology in Education, 2021
Examining the relationship between technology and the success of language acquisition and the integration of technology into language instruction has been around of a long time by now. The development of technology can essentially change how languages are taught. Nevertheless, it is only in the last few years that the road has opened up for new…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Computer Software
