Automated Author ProfileSun, Chih-Yuan
Sun, Chih-Yuan
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.5 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Unrestricted This study investigates possible relationships among motivational and learning variables (interest, self-efficacy, and self-regulation) and three types of student engagement (behavioral engagement, emotional engagement, and cognitive engagement) in a distance education setting. Participants were 203 students enrolled in online classes in the fall semester of 2008 in the Schools of Gerontology and Engineering at a university in the southwestern U.S. who completed an online survey assessing their levels of situational interest, computer self-efficacy, self-regulation, and engagement in distance education. Situational interest and self-regulation were found to be significantly correlated with three types of engagement (behavioral, emotional, and cognitive), while computer self-efficacy did not appear to be associated with any of those engagement variables. Results suggested that online activities and tools such as multimedia and discussion boards may increase student engagement in online learning, although they do not necessarily increase behavioral or cognitive engagement; that educators should identify students who are taking online courses for the first time and provide necessary technical help to increase their emotional engagement; and that it is important for educators to offer students strategies for increasing their self-regulation in distance education environments.
Authors
- Sun, Chih-Yuan