Bei Fang
Biographic Data
| ID | 6507741 |
|---|---|
| NAME | Bei Fang |
| GIVEN NAMES | Bei |
| FAMILY NAME | Fang |
| SIGNATURE | FANG B |
| AFFILIATIONS | Shaanxi Normal University |
| ORCID | 0000-0002-3461-7995 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Empowering teachers' professional development with LLMs
The issue of supporting teachers' professional development has been a significant focus in applied research related to large language models. The research group developed a blended teachers' professional development program, empowering teachers' professional development of instructional design competency in blended learning with a large language model, and conducted an empirical study at a university in northwest China. Utilising a focus group in…
Fine-grained aspect-based opinion mining on online course reviews for feedback analysis
Online learning has developed rapidly and billions of learners have participated in various courses. However, the high dropout rate is universal and learning performance is not satisfactory. Fortunately, learners have posted a large number of reviews which express their feedback opinions. The fine-grained aspects and opinions existing in reviews provide valuable information for educators to improve learning performance. Thus, it is necessary to m…
A systematic review for Mooc dropout prediction from the perspective of machine learning
Empowering teachers' professional development with LLMs
The issue of supporting teachers' professional development has been a significant focus in applied research related to large language models. The research group developed a blended teachers' professional development program, empowering teachers' professional development of instructional design competency in blended learning with a large language model, and conducted an empirical study at a university in northwest China. Utilising a focus group in…
A systematic review for Mooc dropout prediction from the perspective of machine learning
Fine-grained aspect-based opinion mining on online course reviews for feedback analysis
Online learning has developed rapidly and billions of learners have participated in various courses. However, the high dropout rate is universal and learning performance is not satisfactory. Fortunately, learners have posted a large number of reviews which express their feedback opinions. The fine-grained aspects and opinions existing in reviews provide valuable information for educators to improve learning performance. Thus, it is necessary to m…
Empowering teachers' professional development with LLMs
The issue of supporting teachers' professional development has been a significant focus in applied research related to large language models. The research group developed a blended teachers' professional development program, empowering teachers' professional development of instructional design competency in blended learning with a large language model, and conducted an empirical study at a university in northwest China. Utilising a focus group in…
Advanced Text Analysis Techniques (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Data science (1 work) · Empirical research (1 work) · Faculty Development (1 work) · Information retrieval (1 work) · Latent Dirichlet allocation (1 work) · Mathematics education (1 work) · Mutual information (1 work)