Tsai-Tsing Chen
Biographic Data
| ID | 6175889 |
|---|---|
| NAME | Tsai-Tsing Chen |
| GIVEN NAMES | Tsai-Tsing |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN T |
| AFFILIATIONS | Tzu Chi University |
| ORCID | 0009-0009-5135-7142 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Understanding the role of AI Chatbots in English self-regulated learning
This study examines the constructs that predict Self-Regulated Learning (SRL) in English language learning through AI chatbots among low-achieving undergraduate students, focusing on the roles of social presence, trust in AI, enjoyment, and the Self-Determination Theory (SDT) constructs of perceived autonomy, relatedness, and competence. To achieve this aim, we employed a dual analytical approach that integrates Partial Least Squares Structural E…
Does family influence affect success in EMI? The mediating role of the ideal L2 self and L2 self-concept
This research investigates the mediating role of the ideal L2 self and L2 self-concept in the relationship between family influence and students’ success in English as a Medium of Instruction (EMI). Using AMOS and Sobel techniques, the study tested its hypotheses with 675 students from 12 universities in Taiwan. Drawing on cultural capital theory and the L2 motivational self theory, the results revealed that the connection between family influenc…
Explaining the relationships between self-learning capacity and academic success in EMI from a self-image perspective
Navigating interactions and challenges in online learning
Purpose With the increasing number of institutions offering online degree programs, there is a growing need to understand the requirements for interactions and the challenges present in online learning environments. Consequently, this qualitative study aims to explore aspects of nontraditional students, typically defined as older than traditional college age, employed full-time or with family responsibilities. Design/methodology/approach This stu…
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Navigating interactions and challenges in online learning
Purpose With the increasing number of institutions offering online degree programs, there is a growing need to understand the requirements for interactions and the challenges present in online learning environments. Consequently, this qualitative study aims to explore aspects of nontraditional students, typically defined as older than traditional college age, employed full-time or with family responsibilities. Design/methodology/approach This stu…
Explaining the relationships between self-learning capacity and academic success in EMI from a self-image perspective
Understanding the role of AI Chatbots in English self-regulated learning
This study examines the constructs that predict Self-Regulated Learning (SRL) in English language learning through AI chatbots among low-achieving undergraduate students, focusing on the roles of social presence, trust in AI, enjoyment, and the Self-Determination Theory (SDT) constructs of perceived autonomy, relatedness, and competence. To achieve this aim, we employed a dual analytical approach that integrates Partial Least Squares Structural E…
Does family influence affect success in EMI? The mediating role of the ideal L2 self and L2 self-concept
This research investigates the mediating role of the ideal L2 self and L2 self-concept in the relationship between family influence and students’ success in English as a Medium of Instruction (EMI). Using AMOS and Sobel techniques, the study tested its hypotheses with 675 students from 12 universities in Taiwan. Drawing on cultural capital theory and the L2 motivational self theory, the results revealed that the connection between family influenc…
Computer Science (2 works) · EFL/ESL Teaching and Learning (2 works) · Psychology (2 works) · Second Language Learning and Teaching (2 works) · Sociology (2 works) · Affect (linguistics (1 work) · AI in Service Interactions (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work)