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Na Li; Jiraporn Chano – Higher Education Studies, 2024
This study aims to develop and evaluate a Chinese language course designed to enhance college students' critical thinking skills through the integration of deep learning theory and Outcome-Based Education (OBE). The research specifically addresses two questions: (1) What are the characteristics of a Chinese language course that integrates Deep…
Descriptors: Chinese, Teaching Methods, Learning Processes, Critical Thinking
Katherine A. Kim; F. Selin Bagci; Anwell Ho – IEEE Transactions on Education, 2024
Contribution: This study provides an implementation of a partially flipped classroom with gamification aspects that has shown a statistically significant increase in student performance relative to traditional lecture. Background: Electronic Circuits is a challenging required course for first-year students in the Electrical Engineering degree…
Descriptors: Flipped Classroom, Gamification, Student Improvement, Academic Achievement
Lin Xiao; Jianping Zeng – International Education Studies, 2023
Strategic competence, as a meta-cognitive ability, determines the other translation sub-competences. To tease out how students' strategic competence is developed in translation project is significant in enlightening the translation teaching practice. This study explores how five Chinese college students' translation competence, particularly their…
Descriptors: Translation, Teaching Methods, Second Languages, Language Processing
Hong, Jon-Chao; Lin, Chien-hung; Tsai, Ya-hsun; Tai, Kai-Hsin – Language Learning Journal, 2023
This study explores the relationship between the experience of confusion and the outcomes of Chinese character learning by learners of Chinese as a heritage language (CHL). Based on the claim that impasses triggering confusion can lead to deeper learning of conceptually difficult material, the study employed three impasse-driven tasks. The tasks…
Descriptors: Chinese, Orthographic Symbols, Heritage Education, Native Language Instruction
Chan, Venus – Journal of Computer Assisted Learning, 2023
Background: This research is inspired by the challenges encountered in interpreter training, changes in learning needs in the technological era, the educational paradigm shift caused by the COVID-19 pandemic, the lack of studies on combining virtual reality (VR)_and mobile technologies, and literature gaps in the field of the incorporation of…
Descriptors: Computer Software, Telecommunications, Handheld Devices, Translation
Xu, Yi – Interpreter and Translator Trainer, 2023
The research on interpreting aptitude has focused on the abilities, skills and personal traits of individuals in order to predict their future interpreting performance. However, an important variable between the personal characteristics and success of trainee interpreters in interpreter training, which is instructional practices, is overlooked.…
Descriptors: Prediction, Language Aptitude, Feedback (Response), Short Term Memory