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Yu-Min Wang; Chung-Lun Wei; Hsin-Hui Lin; Sheng-Ching Wang; Yi-Shun Wang – Interactive Learning Environments, 2024
As artificial intelligence (AI) technology rapidly develops and is deployed, students increasingly need to understand and learn AI-related skills for future employment. This study investigates how students' AI learning anxiety and AI job replacement anxiety affect intrinsic/extrinsic learning motivations and subsequent AI learning intention. The…
Descriptors: Learning Processes, Artificial Intelligence, Anxiety, Employment Opportunities
Kuo-Zheng Feng – Language Testing in Asia, 2024
This study addressed a gap in existing research on Multiple-Choice (MC) cloze tests by focusing on the learners' perspective, specifically examining the difficulties faced by vocational high school students (VHSs). A nationwide sample of 293 VHSs participated, providing both quantitative and qualitative data through a self-developed questionnaire.…
Descriptors: Language Tests, Multiple Choice Tests, Cloze Procedure, Student Attitudes
Jia-Ying Lee – SAGE Open, 2024
This research was a quasi-experiment that examined the effects of CLIL in an educational context in Taiwan's higher education. Two groups of first-year undergraduate students were involved. One (65 students) was taught with CLIL; the other (59), the conventional approach. Their knowledge of the content and learning attitudes (self-efficacy and…
Descriptors: Content and Language Integrated Learning, Higher Education, Outcomes of Education, Second Language Learning
Pei-Yu Chen; Yuan-Chen Liu – Journal of Baltic Science Education, 2024
This study explored the integration of neural networks and artificial intelligence in image recognition for object identification. The aim was to enhance students' learning experiences through a "Learning by Teaching" approach, in which students act as instructors to train AI robots in recognizing objects. This research specifically…
Descriptors: Artificial Intelligence, Robotics, Educational Technology, Technology Uses in Education
Brady Michael Jack; Zuway-R. Hong; Huann-shyang Lin; Thomas J. Smith – Science & Education, 2024
Existing literature attests to the importance of assessing the learning enjoyment and learning interest of students toward socio-scientific issues (SSI). However, there are few existing studies that examine how ecological stimuli, which are crucial to young learners' perceptual development and the shaping of ethical judgment, predict their…
Descriptors: Social Sciences, Student Attitudes, Student Interests, High School Students
Di Zou; Morris Siu-Yung Jong; Xinyi Huang; Gary Cheng; Gwo-Jen Hwang; Michael Yi-Chao Jiang – Interactive Learning Environments, 2024
Spherical video-based virtual reality (SVVR) is a form of virtual reality that employs 360-degree videos to immerse learners in virtual environments. As SVVR can simulate realistic experiences, the current trend of language education is towards more use of it. To examine its current status, this study systematically reviewed 31 articles on…
Descriptors: Technology Uses in Education, Video Technology, Computer Simulation, Second Language Instruction
Yi-Ching Pan – English Language Teaching Educational Journal, 2024
Many university students in Taiwan have complained that the general English class is not very exciting nor useful for the workplace due to its exam-oriented and teacher-centered instruction focus. Such negative impressions often lead to a low motivation toward learning English and affect students' learning outcomes. This study aimed to establish…
Descriptors: College English, Foreign Countries, Second Language Instruction, Second Language Learning
Chi-Jen Lin; Husni Mubarok – Interactive Learning Environments, 2024
Fostering young learners' computational thinking in AI-based robots is a crucial issue in educational settings. However, there was the complexity of technology in supporting learning activities and the gender gap issue, so an appropriate strategy is needed to guide students to achieve the learning goals. In this study, an AI (Artificial…
Descriptors: Computation, Thinking Skills, Blended Learning, Artificial Intelligence
Min-Chi Chiu; Gwo-Jen Hwang; Lu-Ho Hsia; Fong-Ming Shyu – Interactive Learning Environments, 2024
In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…
Descriptors: Art Education, Artificial Intelligence, Teaching Methods, Comparative Analysis