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Lin, Yen-Ting – Educational Technology & Society, 2023
The aim of software engineering education is to educate students in software technologies, developments, procedures, and scientific practices to enable them to cope with industrial demands. However, the implementation of software engineering education in traditional university classrooms is restricted by the semester structure, making it difficult…
Descriptors: Academic Achievement, Electronic Books, Flipped Classroom, Computer Software
Pin-Hui Li; Hsin-Yu Lee; Chia-Ju Lin; Wei-Sheng Wang; Yueh-Min Huang – Journal of Educational Computing Research, 2025
The core purpose of integrating inquiry-based learning strategies into STEM activities is to create a challenging learning environment that stimulates students' active learning, thereby effectively enhancing their interest in learning, thinking skills, and practical application abilities. To achieve these goals, developing more technology-assisted…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Active Learning
Lin, Jing-Wen; Cheng, Tze-Shang; Linn, George – International Journal of Science Education, 2023
The demand for the Dongfeng Highway connecting Dongshi and Fengyuan, Taiwan, originates from a 7.3 ML earthquake disaster affecting residents' medical treatment and material transportation. The Dongfeng Highway route selection was identified as the socioscientific issues (SSI) and the Decision Factors Table and SageModeler (two representational…
Descriptors: Decision Making, Models, Science and Society, Science Instruction
Chou, Sheng-Fang; Horng, Jeou-Shyan; Liu, Chih-Hsing; Lin, Jun-You; Chen, Lu – Education and Information Technologies, 2023
Technology drives innovation and reform in hospitality education, and Facebook has become a popular educational tool to facilitate students' classroom interactions. Understanding hospitality students' attitudes toward Facebook teaching interventions is important. Based on a survey of 289 undergraduate hospitality students, first, we expand the…
Descriptors: Undergraduate Students, Social Media, Teaching Methods, Student Attitudes
Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
Yeh-Zu Tzou – Interpreter and Translator Trainer, 2024
In the recent decade, project-based learning has gained popularity in translator training, with its foundation rooted in the situated learning theory. Advancements in digital technology have opened up new learning opportunities for both teachers and students in translation classrooms. One such opportunity lies in the realm of online communities…
Descriptors: Translation, Learner Engagement, Electronic Learning, Access to Education
Wenli Tsou; Angel M. Y. Lin; Fay Chen – Language, Culture and Curriculum, 2024
This paper responds to the prevalent discourse on the 'lack of English proficiency' among EMI teachers in contexts where English is used as an additional language. It explores how AI-powered tools, particularly ChatGPT, enable EMI teachers in Taiwan to leverage their expertise and teach in English with more confidence. This study first describes…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Higher Education
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
Yi-Ping Wu; Hui-Hsien Feng; Bo-Ren Mau – Interpreter and Translator Trainer, 2025
Corpus analysis methods have been widely employed in literary translation research by numerous scholars. However, their integration into literary translation training has yet to be developed. With the advancement of AI technology, this paper explores the potential of employing AI-enhanced corpus text analysis and text mining techniques in this…
Descriptors: Translation, Computer Software, Comparative Analysis, Language Styles
Peichin Chang; Pin-Ju Chen; Li-Ling Lai – Computer Assisted Language Learning, 2024
Machine Translation (MT) tools have advanced to a level of reliability such that it is now opportune to consider their place in language teaching and learning. Given their potential, the current study sought to engage EFL university sophomores in recursive editing afforded by Google Translate (GT) for one semester, and investigated (1) whether the…
Descriptors: Editing, Computer Software, Artificial Intelligence, Translation
Hsin-Yi Cyndi Huang; Ming-Fen Lo; Chiung-Jung Tseng – Educational Technology & Society, 2024
This study investigated the effectiveness of applying pedagogical translanguaging by utilizing Google Translate to facilitate college juniors in writing presentation scripts. Participants included 109 non-English major juniors divided into high- and low-proficiency groups, with 56 and 53 students, respectively. Each participant first drafted their…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computational Linguistics
Keng-Chih Hsu; Neil E. Barrett; Gi-Zen Liu – Computer Assisted Language Learning, 2025
With the rise of augmented reality (AR) and context-aware ubiquitous learning (CAUL), pedagogical designers in computer assisted language learning are increasingly developing authentic English for Specific Purposes (ESP) learning environments. However, there has been little research regarding the development of evidence-based principles for…
Descriptors: Tourism, English for Special Purposes, Second Language Instruction, Second Language Learning
Fu-Hsing Tsai – SAGE Open, 2023
The cultivation of computational thinking and programing education have gained prominence in K-12 education worldwide. Primary school teachers should be proficient in visual programing and using microcontrollers to teach programing courses. To cope with these trends, a learning activity was developed and implemented in Taiwan's primary teacher…
Descriptors: Preservice Teachers, Teacher Education Programs, Programming, Computer Science Education
Hsin Huang; Hui-Chen Lin – Educational Technology & Society, 2024
Professional Identity Formation (PIF) is considered a crucial process in medical education. It involves how medical students identify their role as physicians, discover their professional positioning, and gradually develop their professional identity through social interactions. This qualitative descriptive study adopted the phenomenological…
Descriptors: Coaching (Performance), Professional Identity, Medical Education, Medical Students
Chen, Yulin – Education and Information Technologies, 2023
This study investigated the motivation of Taiwanese undergraduate EFL students in learning English-to-Chinese translation and the intention to use a digital game-based learning app called CHEN-slate. The app, consisting of a learning zone, practice zone, and competition zone and including translation skills needed for actual translation practice,…
Descriptors: Translation, Game Based Learning, English (Second Language), Second Language Learning