Yunchao Fan
Biographic Data
| ID | 8988712 |
|---|---|
| NAME | Yunchao Fan |
| GIVEN NAMES | Yunchao |
| FAMILY NAME | Fan |
| SIGNATURE | FAN Y |
| AFFILIATIONS | Beijing Normal University |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Using AI-empowered assessments and personalized recommendations to promote online collaborative learning performance
As an effective form of pedagogy, online collaborative learning has received increasing application in the field of education. However, learners often feel frustrated with regard to knowledge building, cognitive engagement, and socially shared regulation. To solve these problems, the current study proposed an approach featuring artificial intelligence (AI)-empowered assessments and personalized recommendations. The purpose of this quasi-experimen…
An Artificial Intelligence‐Enabled Group Cognitive Diagnosis Approach With the Goal of Promoting Online Collaborative Learning
The impact of learning analytics interventions on learning achievements
Learning analytics has received increasing attention in the field of education. However, few studies have investigated the overall impact of learning analytics interventions on learning achievements. This study aims to close this research gap and examine the sizes of the overall effects of learning analytics interventions on learning achievements according to research conducted from 2012 to 2021. In total, 33 empirical studies including 3098 part…
Impacts of three approaches on collaborative knowledge building, group performance, behavioural engagement, and socially shared regulation in online collaborative learning
An automatic knowledge graph construction approach to promoting collaborative knowledge building, group performance, social interaction and socially shared regulation in CSCL
Computer‐supported collaborative learning (CSCL) has been an effective pedagogy in the field of education. However, productive collaborative learning often does not occur spontaneously, and learners often have difficulties with collaborative knowledge building and socially shared regulation. To address this research gap, this study proposes an automatic knowledge graph construction approach based on deep neural network models. In total, 63 groups…
An automated analysis of topic distributions and features approach to promoting group performance, collaborative knowledge building and socially shared regulation in online collaborative learning
Online collaborative learning has been widely used in the field of education. However, unrelated or off-topic information is often included in online collaborative learning. Furthermore, the content of online discussion is often too shallow or narrow. To achieve productive collaborative learning, this study proposed and validated an automated analysis of topic distributions and features (AATDF) approach. In total, 189 college students in China pa…
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An automatic knowledge graph construction approach to promoting collaborative knowledge building, group performance, social interaction and socially shared regulation in CSCL
Computer‐supported collaborative learning (CSCL) has been an effective pedagogy in the field of education. However, productive collaborative learning often does not occur spontaneously, and learners often have difficulties with collaborative knowledge building and socially shared regulation. To address this research gap, this study proposes an automatic knowledge graph construction approach based on deep neural network models. In total, 63 groups…
An automated analysis of topic distributions and features approach to promoting group performance, collaborative knowledge building and socially shared regulation in online collaborative learning
Online collaborative learning has been widely used in the field of education. However, unrelated or off-topic information is often included in online collaborative learning. Furthermore, the content of online discussion is often too shallow or narrow. To achieve productive collaborative learning, this study proposed and validated an automated analysis of topic distributions and features (AATDF) approach. In total, 189 college students in China pa…
The impact of learning analytics interventions on learning achievements
Learning analytics has received increasing attention in the field of education. However, few studies have investigated the overall impact of learning analytics interventions on learning achievements. This study aims to close this research gap and examine the sizes of the overall effects of learning analytics interventions on learning achievements according to research conducted from 2012 to 2021. In total, 33 empirical studies including 3098 part…
Impacts of three approaches on collaborative knowledge building, group performance, behavioural engagement, and socially shared regulation in online collaborative learning
Using AI-empowered assessments and personalized recommendations to promote online collaborative learning performance
As an effective form of pedagogy, online collaborative learning has received increasing application in the field of education. However, learners often feel frustrated with regard to knowledge building, cognitive engagement, and socially shared regulation. To solve these problems, the current study proposed an approach featuring artificial intelligence (AI)-empowered assessments and personalized recommendations. The purpose of this quasi-experimen…
An Artificial Intelligence‐Enabled Group Cognitive Diagnosis Approach With the Goal of Promoting Online Collaborative Learning
Computer Science (6 works) · Innovative Teaching and Learning Methods (5 works) · Online Learning and Analytics (5 works) · Psychology (5 works) · Collaborative learning (4 works) · Mathematics education (4 works) · Computer-supported collaborative learning (3 works) · Cooperative learning (3 works) · Data science (3 works) · Knowledge management (3 works)