Huiying Cai
Biographic Data
| ID | 5791409 |
|---|---|
| NAME | Huiying Cai |
| GIVEN NAMES | Huiying |
| FAMILY NAME | Cai |
| SIGNATURE | CAI H |
| AFFILIATIONS | Jiangnan University |
| ORCID | 0000-0002-1784-4408 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
When AI joins the conversation: The impact of AI-powered teacher dashboard on pre-service teachers' collaborative interaction in the video-based professional learning communities
This study investigates the impact of an AI-powered teacher dashboard on collaborative interaction in video-based pre-service teacher education. A quasi-experimental design was conducted with 48 pre-service teachers in China. They were assigned to either an experimental or control condition. Each condition comprised eight groups, with three pre-service teachers per group. All groups engaged in collaborative discussions aimed at improving lesson d…
Examining teacher change in reflective practice: Insights for professional development on adopting representational scaffolding in the inquiry-based learning
What makes listening comprehension difficult?: A feature-based machine learning approach to understanding item difficulty
Understanding what makes second language (L2) listening comprehension difficult is crucial for advancing language learning and assessment. In L2 listening assessment, a key challenge is developing items with targeted difficulty levels. This difficulty can be influenced by textual and acoustic features from different item segments (i.e. stimuli, stems, and options) embedded in a multi-layered structure, along with task-related features. This study…
Harnessing AI for teacher education to promote inclusive education: Investigating the effects of ChatGPT-supported lesson plan critiques on the development of pre-service teachers' lesson planning ski…
Exploring pre-service teachers’ reflection mediated by an AI-powered teacher dashboard in video-based professional learning: A pilot study
Disfluency doesn’t happen in isolation: Exploring how individual disfluency features co-occur in L2 speaking performances
The construct of second language (L2) utterance fluency is typically operationalized through various individual temporal features. However, in natural speech, fluency (or disfluency) is often characterized by the clustering of multiple temporal features, collectively revealing the speaker’s effort in speech production or disfluency recovery. In this study, we explore the co-occurrence patterns of disfluency features in L2 speech and their associa…
Triangulating natural language processing (NLP)-based analysis of rater comments and many-facet Rasch measurement (MFRM): An innovative approach to investigating raters’ application of rating scales i…
Rater comments tend to be qualitatively analyzed to indicate raters’ application of rating scales. This study applied natural language processing (NLP) techniques to quantify meaningful, behavioral information from a corpus of rater comments and triangulated that information with a many-facet Rasch measurement (MFRM) analysis of rater scores. The data consisted of ratings on 987 essays by 36 raters (a total of 3948 analytic scores and 1974 rater …
Quantitative Research on Chinese Sentences Structure Based on Pattern Grammar
With the proliferation of corpora, various syntactic analysis methodologies have been developed. However, syntactic analysis of Chinese sentences demands a theory that focuses more on word order and the interaction between content and function words, which is satisfied by pattern grammar theory. This study investigates the effectiveness of pattern grammar theory in the analysis of Chinese sentence structure and explores the linguistic characteris…
No prominent works on this page.
Triangulating natural language processing (NLP)-based analysis of rater comments and many-facet Rasch measurement (MFRM): An innovative approach to investigating raters’ application of rating scales i…
Rater comments tend to be qualitatively analyzed to indicate raters’ application of rating scales. This study applied natural language processing (NLP) techniques to quantify meaningful, behavioral information from a corpus of rater comments and triangulated that information with a many-facet Rasch measurement (MFRM) analysis of rater scores. The data consisted of ratings on 987 essays by 36 raters (a total of 3948 analytic scores and 1974 rater …
Quantitative Research on Chinese Sentences Structure Based on Pattern Grammar
With the proliferation of corpora, various syntactic analysis methodologies have been developed. However, syntactic analysis of Chinese sentences demands a theory that focuses more on word order and the interaction between content and function words, which is satisfied by pattern grammar theory. This study investigates the effectiveness of pattern grammar theory in the analysis of Chinese sentence structure and explores the linguistic characteris…
What makes listening comprehension difficult?: A feature-based machine learning approach to understanding item difficulty
Understanding what makes second language (L2) listening comprehension difficult is crucial for advancing language learning and assessment. In L2 listening assessment, a key challenge is developing items with targeted difficulty levels. This difficulty can be influenced by textual and acoustic features from different item segments (i.e. stimuli, stems, and options) embedded in a multi-layered structure, along with task-related features. This study…
Harnessing AI for teacher education to promote inclusive education: Investigating the effects of ChatGPT-supported lesson plan critiques on the development of pre-service teachers' lesson planning ski…
Exploring pre-service teachers’ reflection mediated by an AI-powered teacher dashboard in video-based professional learning: A pilot study
Disfluency doesn’t happen in isolation: Exploring how individual disfluency features co-occur in L2 speaking performances
The construct of second language (L2) utterance fluency is typically operationalized through various individual temporal features. However, in natural speech, fluency (or disfluency) is often characterized by the clustering of multiple temporal features, collectively revealing the speaker’s effort in speech production or disfluency recovery. In this study, we explore the co-occurrence patterns of disfluency features in L2 speech and their associa…
When AI joins the conversation: The impact of AI-powered teacher dashboard on pre-service teachers' collaborative interaction in the video-based professional learning communities
This study investigates the impact of an AI-powered teacher dashboard on collaborative interaction in video-based pre-service teacher education. A quasi-experimental design was conducted with 48 pre-service teachers in China. They were assigned to either an experimental or control condition. Each condition comprised eight groups, with three pre-service teachers per group. All groups engaged in collaborative discussions aimed at improving lesson d…
Examining teacher change in reflective practice: Insights for professional development on adopting representational scaffolding in the inquiry-based learning
Psychology (4 works) · Computer Science (3 works) · Educational technology (3 works) · Professional development (3 works) · Artificial Intelligence (2 works) · Dashboard (2 works) · Faculty Development (2 works) · Language Development and Disorders (2 works) · Linguistics (2 works) · Mathematics education (2 works)