Automated Author ProfileRiese, Emma
KTH Royal Institute of Technology0000-0002-4525-3568
Riese, Emma
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: 4.7 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Formated version of themes, codes and quotes.
Authors
- Lorås, Madeleine ;
- Riese, Emma ;
- Ukrop, Martin ;
- Effenberger, Tomáš
Themes, codes and quotes.
Authors
- Lorås, Madeleine ;
- Riese, Emma ;
- Ukrop, Martin ;
- Effenberger, Tomáš
ReadMe file
Authors
- Lorås, Madeleine ;
- Riese, Emma ;
- Ukrop, Martin ;
- Effenberger, Tomáš
Teaching assistants (TAs) are heavily used in computer science courses as a way to handle high enrollment and still being able to offer students individual tutoring and detailed assessments. This data is the result of a multi-institutional, multi-national perspective of challenges that TAs in computer science face. 180 reflective essays written by TAs from three institutions across Europe were analyzed and coded. The thematic analysis resulted in five main challenges: becoming a professional TA, student-focused challenges, assessment, defining and using best practice and threats to best practice. In addition, these challenges were all identified within the essays from all three institutions, indicating that the identified challenges are not particularly context-dependent.
Authors
- Lorås, Madeleine ;
- Riese, Emma ;
- Ukrop, Martin ;
- Effenberger, Tomáš