Wentao Liu
Datos Biográficos
| ID | 6479813 |
|---|---|
| NOMBRE | Wentao Liu |
| NOMBRES | Wentao |
| APELLIDO | Liu |
| FIRMA | LIU W |
| AFILIACIONES | Hunan Normal University |
| ORCID | 0009-0008-9257-8155 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 7 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 7 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2022 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Decoding the paradox
Boredom has traditionally been viewed as a negative predictor of engagement in English as a foreign language (EFL) learning, yet research on how boredom and engagement vary among learners is limited. This research addresses this gap by examining intraindividual differences among Chinese high school EFL students using an explanatory sequential mixed-methods design. In Study 1, Latent Profile Analysis (LPA) using Mplus 8.7 identified four groups fr…
Elixir and Archaeotoxicology
Mercury and cinnabar were widely used in ancient China. This study aims to assess mercury exposure in ancient Chinese populations and analyze the causes of different mercury exposure patterns. Total mercury (THg) concentration was measured in 99 human skeletal samples across five archaeological sites (fifth century bce to 19th century) in the middle and lower Yellow River regions, using cold vapor atomic absorption spectrometry (CV‐AAS). Elevated…
Beyond emotional exhaustion
What drives college students to use AI for L2 learning? Modeling the roles of self-efficacy, anxiety, and attitude based on an extended technology acceptance model
Prior research highlights the critical role of AI in enhancing second language (L2) learning. However, the factors that practically affect L2 learners to engage with AI resources are still underexplored. Given the widespread availability of digital devices among college students, they are particularly poised to benefit from AI-assisted L2 learning. As such, this study, grounded in an extended Technology Acceptance Model (TAM), investigates the pr…
Validating the AI-assisted second language (L2) learning attitude scale for Chinese college students and its correlation with L2 proficiency
The positive impact of Artificial Intelligence (AI) on second language (L2) learning is well-documented. An individual's attitude toward AI significantly influences its adoption. Despite this, no specific scale has been designed to measure this attitude, particularly in the Chinese context. To address this gap, our study aims to construct the AI-Assisted L2 Learning Attitude Scale for Chinese College Students (AL2AS-CCS) and evaluate its reliabil…
Methodology and Case Studies of Organizational Capability-based Performance Evaluation System
Organizational capabilities are the various competencies that a company needs to successfully implement its business strategies and are the key drivers of sustainable development. In this paper, through the introduction of a performance optimization and improvement project designed by the author a few years ago to address the problems in the performance evaluation of a communication service company based on the need for organizational capability …
Development and Validation of a Risk Stratification Model of Pulmonary Ground-Glass Nodules Based on Complementary Lung-Rads 1.1 and Deep Learning Scores
Purpose To assess the value of novel deep learning (DL) scores combined with complementary lung imaging reporting and data system 1.1 (cLung-RADS 1.1) in managing the risk stratification of ground-glass nodules (GGNs) and therefore improving the efficiency of lung cancer (LC) screening in China. Materials and Methods Overall, 506 patients with 561 GGNs on routine computed tomography images, obtained between January 2017 and March 2021, were enrol…
Sin obras prominentes en esta página.
Methodology and Case Studies of Organizational Capability-based Performance Evaluation System
Organizational capabilities are the various competencies that a company needs to successfully implement its business strategies and are the key drivers of sustainable development. In this paper, through the introduction of a performance optimization and improvement project designed by the author a few years ago to address the problems in the performance evaluation of a communication service company based on the need for organizational capability …
Development and Validation of a Risk Stratification Model of Pulmonary Ground-Glass Nodules Based on Complementary Lung-Rads 1.1 and Deep Learning Scores
Purpose To assess the value of novel deep learning (DL) scores combined with complementary lung imaging reporting and data system 1.1 (cLung-RADS 1.1) in managing the risk stratification of ground-glass nodules (GGNs) and therefore improving the efficiency of lung cancer (LC) screening in China. Materials and Methods Overall, 506 patients with 561 GGNs on routine computed tomography images, obtained between January 2017 and March 2021, were enrol…
What drives college students to use AI for L2 learning? Modeling the roles of self-efficacy, anxiety, and attitude based on an extended technology acceptance model
Prior research highlights the critical role of AI in enhancing second language (L2) learning. However, the factors that practically affect L2 learners to engage with AI resources are still underexplored. Given the widespread availability of digital devices among college students, they are particularly poised to benefit from AI-assisted L2 learning. As such, this study, grounded in an extended Technology Acceptance Model (TAM), investigates the pr…
Validating the AI-assisted second language (L2) learning attitude scale for Chinese college students and its correlation with L2 proficiency
The positive impact of Artificial Intelligence (AI) on second language (L2) learning is well-documented. An individual's attitude toward AI significantly influences its adoption. Despite this, no specific scale has been designed to measure this attitude, particularly in the Chinese context. To address this gap, our study aims to construct the AI-Assisted L2 Learning Attitude Scale for Chinese College Students (AL2AS-CCS) and evaluate its reliabil…
Beyond emotional exhaustion
Decoding the paradox
Boredom has traditionally been viewed as a negative predictor of engagement in English as a foreign language (EFL) learning, yet research on how boredom and engagement vary among learners is limited. This research addresses this gap by examining intraindividual differences among Chinese high school EFL students using an explanatory sequential mixed-methods design. In Study 1, Latent Profile Analysis (LPA) using Mplus 8.7 identified four groups fr…
Elixir and Archaeotoxicology
Mercury and cinnabar were widely used in ancient China. This study aims to assess mercury exposure in ancient Chinese populations and analyze the causes of different mercury exposure patterns. Total mercury (THg) concentration was measured in 99 human skeletal samples across five archaeological sites (fifth century bce to 19th century) in the middle and lower Yellow River regions, using cold vapor atomic absorption spectrometry (CV‐AAS). Elevated…
Computer Science (4 obras) · Mathematics (2 obras) · Mathematics education (2 obras) · Medicine (2 obras) · Psychology (2 obras) · Second language (2 obras) · Structural equation modeling (2 obras) · Alchemy (1 obras) · Algorithm (1 obras) · Anxiety (1 obras)