Yulin Tian
Biographic Data
| ID | 9611830 |
|---|---|
| NAME | Yulin Tian |
| GIVEN NAMES | Yulin |
| FAMILY NAME | Tian |
| SIGNATURE | TIAN Y |
| AFFILIATIONS | Beijing Normal University |
| ORCID | 0009-0008-2441-612X |
| 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 |
The measurement and characteristic analysis of learner interaction levels in cMoocs based on path analysis
In the connectivist Massive Open Online Courses (cMOOC) learning environment, learner interaction is crucial for the success of connectivist learning. Measuring learners’ interaction levels is essential for course evaluation. However, existing methods for measuring interaction levels in cMOOCs have limitations, such as single-dimensional focus and poor real-time capabilities. Therefore, based on the social network analysis (SNA) metrics and learn…
Retracted
Research on the influencing factors of users’ continuance intentions of wearable medical devices—a perspective integrating the UTAUT model and gamification elements
With the global aging population and the increasing prevalence of chronic diseases, the application of wearable medical devices in health management has garnered widespread attention. However, despite the significant advantages of these devices in health monitoring and disease prevention, many users discontinue their use within a short period, posing challenges to their long-term adoption. This study develops a research framework by combining the…
No prominent works on this page.
Research on the influencing factors of users’ continuance intentions of wearable medical devices—a perspective integrating the UTAUT model and gamification elements
With the global aging population and the increasing prevalence of chronic diseases, the application of wearable medical devices in health management has garnered widespread attention. However, despite the significant advantages of these devices in health monitoring and disease prevention, many users discontinue their use within a short period, posing challenges to their long-term adoption. This study develops a research framework by combining the…
The measurement and characteristic analysis of learner interaction levels in cMoocs based on path analysis
In the connectivist Massive Open Online Courses (cMOOC) learning environment, learner interaction is crucial for the success of connectivist learning. Measuring learners’ interaction levels is essential for course evaluation. However, existing methods for measuring interaction levels in cMOOCs have limitations, such as single-dimensional focus and poor real-time capabilities. Therefore, based on the social network analysis (SNA) metrics and learn…
Retracted
Computer Science (3 works) · Psychology (3 works) · Human–computer interaction (2 works) · Online Learning and Analytics (2 works) · Behavioral Health and Interventions (1 works) · Cognition (1 works) · Cognitive science (1 works) · Continuance (1 works) · Digital Marketing and Social Media (1 works) · E-Learning and Knowledge Management (1 works)