Mengjia Liu
Biographic Data
| ID | 9609836 |
|---|---|
| NAME | Mengjia Liu |
| GIVEN NAMES | Mengjia |
| FAMILY NAME | Liu |
| SIGNATURE | LIU M |
| AFFILIATIONS | National University of Malaysia |
| ORCID | 0009-0002-2641-2639 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A systematic review of emerging technology applications for teaching English as a foreign language across different educational levels
A culturally responsive blended learning framework for technology-enhanced EFL contexts
This quantitative study develops and validates a novel Culturally Responsive Blended Learning Success (CR-BLS) model for evaluating technology-enhanced EFL instruction effectiveness in collective educational contexts. Conducted at a Chinese university, the research examined an intelligent blended learning ecosystem integrating three widely adopted platforms (U-Campus, GradingNet, and Learning Hub) for content delivery, assessment, and collaborati…
Longitudinal development of L2 speaking accuracy in AI-enhanced smart class
This study investigates the longitudinal development of L2 speaking accuracy in Chinese EFL learners within AI-enhanced smart classroom environments over extended periods. The research examines four key dimensions of speaking accuracy—lexical accuracy, lexical diversity, grammatical accuracy, and grammatical complexity—to establish empirical connections between sustained AI-mediated instruction and measurable linguistic improvement. A corpus-base…
No prominent works on this page.
A systematic review of emerging technology applications for teaching English as a foreign language across different educational levels
A culturally responsive blended learning framework for technology-enhanced EFL contexts
This quantitative study develops and validates a novel Culturally Responsive Blended Learning Success (CR-BLS) model for evaluating technology-enhanced EFL instruction effectiveness in collective educational contexts. Conducted at a Chinese university, the research examined an intelligent blended learning ecosystem integrating three widely adopted platforms (U-Campus, GradingNet, and Learning Hub) for content delivery, assessment, and collaborati…
Longitudinal development of L2 speaking accuracy in AI-enhanced smart class
This study investigates the longitudinal development of L2 speaking accuracy in Chinese EFL learners within AI-enhanced smart classroom environments over extended periods. The research examines four key dimensions of speaking accuracy—lexical accuracy, lexical diversity, grammatical accuracy, and grammatical complexity—to establish empirical connections between sustained AI-mediated instruction and measurable linguistic improvement. A corpus-base…
AI in Service Interactions (1 works) · Blended Learning (1 works) · Computational linguistics (1 works) · Cooperative learning (1 works) · Corpus linguistics (1 works) · Data collection (1 works) · E-Learning and COVID-19 (1 works) · Educational technology (1 works) · Innovative Teaching and Learning Methods (1 works) · Language acquisition (1 works)