Junlei Du
Biographic Data
| ID | 9589897 |
|---|---|
| NAME | Junlei Du |
| GIVEN NAMES | Junlei |
| FAMILY NAME | Du |
| SIGNATURE | DU J |
| AFFILIATIONS | Beijing Normal University |
| ORCID | 0000-0002-2881-5223 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Diversified social capital accumulation strategies for cMooc learners
The analysis of learners’ social capital development strategies provides an important perspective for understanding the mechanisms and strategies of connectivist learning. This study employs community detection algorithms, social network analysis, and SIENA to explore the diverse strategies connectivist learners use to accumulate social capital and assess their effectiveness, based on longitudinal observation and analysis of subcommunity interact…
Dynamics of cMooc learner interactions in different social media
Social media may have an impact on people’s interaction patterns and social relationships. Investigating the interaction patterns of learners across various social media platforms can provide profound insights into the characteristics and mechanisms of connectivist learning. This study explores interaction network characteristics and the dynamic evolution of interaction patterns across multiple social media platforms within a cMOOC by using SNA a…
Automatic item generation for educational assessments
This study reviewed automatic item generation (AIG) applications for educational assessments from 2010 to 2024. The analysis included 71 articles and focused on examining types of generated items and assessments, technical approaches, and evaluation models. The results showed that most generated items related to multiple choice questions, and the generated assessments were mainly about computer and medical sciences at college and vocational level…
What participation types of learners are there in connectivist learning
Learners in connectivist learning are diverse. It’s necessary to make a clear understanding of learners’ participation types and characteristics for optimizing the learning support service and learning evaluation in connectivist learning. This study aims to describe different types of learners in connectivist learning from two dimensions of social network and concept network characteristics. We analyzed 10598 collected data output during a 12-wee…
Diversified resource access paths in Moocs
Understanding the evolution of cognitive engagement with interaction levels in online learning environments
Mooc learners' time‐investment patterns and temporal‐learning characteristics
No prominent works on this page.
Mooc learners' time‐investment patterns and temporal‐learning characteristics
What participation types of learners are there in connectivist learning
Learners in connectivist learning are diverse. It’s necessary to make a clear understanding of learners’ participation types and characteristics for optimizing the learning support service and learning evaluation in connectivist learning. This study aims to describe different types of learners in connectivist learning from two dimensions of social network and concept network characteristics. We analyzed 10598 collected data output during a 12-wee…
Diversified resource access paths in Moocs
Understanding the evolution of cognitive engagement with interaction levels in online learning environments
Dynamics of cMooc learner interactions in different social media
Social media may have an impact on people’s interaction patterns and social relationships. Investigating the interaction patterns of learners across various social media platforms can provide profound insights into the characteristics and mechanisms of connectivist learning. This study explores interaction network characteristics and the dynamic evolution of interaction patterns across multiple social media platforms within a cMOOC by using SNA a…
Automatic item generation for educational assessments
This study reviewed automatic item generation (AIG) applications for educational assessments from 2010 to 2024. The analysis included 71 articles and focused on examining types of generated items and assessments, technical approaches, and evaluation models. The results showed that most generated items related to multiple choice questions, and the generated assessments were mainly about computer and medical sciences at college and vocational level…
Diversified social capital accumulation strategies for cMooc learners
The analysis of learners’ social capital development strategies provides an important perspective for understanding the mechanisms and strategies of connectivist learning. This study employs community detection algorithms, social network analysis, and SIENA to explore the diverse strategies connectivist learners use to accumulate social capital and assess their effectiveness, based on longitudinal observation and analysis of subcommunity interact…
Computer Science (7 works) · Online Learning and Analytics (7 works) · Psychology (7 works) · World Wide Web (5 works) · Innovative Teaching and Learning Methods (4 works) · Online and Blended Learning (4 works) · Mathematics education (3 works) · Artificial Intelligence (2 works) · Data science (2 works) · Knowledge management (2 works)