| Publisher |
DZHW |
| Resource Type |
DOI |
| Data Type |
Programming |
| Creator |
Kiesler, Natalie |
| Availability |
open |
| Rights |
DZHW |
| Programming Language |
Java |
| Collection Start Date |
2017 |
| Collection End Date |
2017 |
| Publication Year |
2017 |
| Number of Semesters |
1 |
| Data Protection |
Anonymized |
| Measurement Type |
screencast recording and transcription |
| Population |
CS1 |
| Sample Size |
16 |
| Country |
Germany |
| Educational Institution |
University of Applied Sciences Fulde |
| Learning Environment |
CodingBat |
| Aggregation |
Yes |
| Aggregation Level |
Token level progress of students |
| Related Publication |
@phdthesis{kiesler2022diss,
title = {{Kompetenzförderung in der Programmierausbildung durch Modellierung von Kompetenzen und informativem Feedback}},
author = {Kiesler, Natalie},
year = {2022},
type = {Dissertation},
school = {{Johann Wolfgang Goethe-Universität}},
address = {Frankfurt am Main},
note = {Fachbereich Informatik und Mathematik},
month = {Januar},
} |
| Research Question |
How does informative feedback during the use of (online) self-learning tools with programming exercises affect students? How do students use feedback options and hints in online learning environments? |
| Future Work |
The dataset can be used to evaluate and compare online learning environments with programming exercises for which feedback is offered (if these learning environments offer identical tasks).
Moreover, feedback from experts could be compared with system feedback. Such findings can be incorporated into teaching and the development of learning systems. |
| Fairness Score |
Total score: 62% (moderate)
Findability: 6 of 7
Accessibility: 1 of 3
Interoperability: 3 of 4
Reusability: 5 of 10 |
| Resource | Open Dataset |
|---|