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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
Yung-Hsiang Hu; Jo Shan Fu; Hui-Chin Yeh – Interactive Learning Environments, 2024
Artificial intelligence aims to restructure and process re-engineering education and teaching processes and accelerate the evolution of the whole education system from information to intelligence. Robotic Process Automation (RPA) robots learn by observing people at work, analyzing user processes repeatedly, and adjusting or correcting automated…
Descriptors: Intelligent Tutoring Systems, Robotics, Automation, Instructional Effectiveness
Yi-Ling Chien; Yueh-Ming Tai; Yen-Nan Chiu; Wen-Che Tsai; Susan Shur-Fen Gau – Autism: The International Journal of Research and Practice, 2024
The mediators of real-world executive functions in autism during the transition into adulthood are mainly unknown. This study aimed to identify the mediators for the behavioral and cognitive domains of real-world executive functions in late adolescent and young adult autistic populations. We followed up 289 autistic children (aged 11.6 ± 3.8, male…
Descriptors: Young Adults, Executive Function, Metacognition, Correlation