Hongwu Yang
Biographic Data
| ID | 9554247 |
|---|---|
| NAME | Hongwu Yang |
| GIVEN NAMES | Hongwu |
| FAMILY NAME | Yang |
| SIGNATURE | YANG H |
| AFFILIATIONS | Northwest Normal University |
| ORCID | 0009-0006-1401-451X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A Multivisual Cue-Based Approach for Intelligent Assessment of Student Engagement in the Classroom
A Structural Model of EFL Learners' Behavioural Engagement in AI‐Enhanced Classrooms: The Predictive Roles of Teacher Interpersonal Behaviours, Emotional Engagement, Perceived Classroom Support, and T…
In modern AI‐powered educational environments, understanding the relational dynamics between teachers and students is essential to fostering effective learning experiences. This study aims to investigate the relationship between teacher interpersonal behaviours and students' emotional engagement, perceived classroom support, technology acceptance, and behavioural engagement in AI‐enhanced classrooms. Using a quantitative, correlational research d…
Exploring prompt pattern for generative artificial intelligence in automatic question generation
The construction of questions is an essential component in educational assessment and student learning processes. However, manually constructing questions is a complex task that requires not only professional training, substantial experience, and extensive resources from teachers but is also time-consuming. This article introduces an Automatic Question Generation (AQG) technology based on a prompt pattern to alleviate this burden and address the …
No prominent works on this page.
Exploring prompt pattern for generative artificial intelligence in automatic question generation
The construction of questions is an essential component in educational assessment and student learning processes. However, manually constructing questions is a complex task that requires not only professional training, substantial experience, and extensive resources from teachers but is also time-consuming. This article introduces an Automatic Question Generation (AQG) technology based on a prompt pattern to alleviate this burden and address the …
A Multivisual Cue-Based Approach for Intelligent Assessment of Student Engagement in the Classroom
A Structural Model of EFL Learners' Behavioural Engagement in AI‐Enhanced Classrooms: The Predictive Roles of Teacher Interpersonal Behaviours, Emotional Engagement, Perceived Classroom Support, and T…
In modern AI‐powered educational environments, understanding the relational dynamics between teachers and students is essential to fostering effective learning experiences. This study aims to investigate the relationship between teacher interpersonal behaviours and students' emotional engagement, perceived classroom support, technology acceptance, and behavioural engagement in AI‐enhanced classrooms. Using a quantitative, correlational research d…
Student engagement (2 works) · Advanced Text Analysis Techniques (1 works) · Artificial Intelligence (1 works) · Computer Science (1 works) · E-Learning and COVID-19 (1 works) · Electronic learning (1 works) · Expert finding and Q&A systems (1 works) · Generative grammar (1 works) · Innovative Teaching Methodologies in Social Sciences (1 works) · Intelligent Tutoring Systems and Adaptive Learning (1 works)