| Publisher |
DZHW |
| Description |
The research project "Digital Programming in Teams" (DiP-iT) investigates how collaborative learning in computer science studies can be didactically developed and supported with digital tools. The project focuses on the use and implementation of learning analytics methods. The DiP-iT project aims to develop didactic and technical support in computer science studies for learning to program in teams. In order to achieve this goal, the sub-study "Gruppenarbeit beim Programmieren lernen" (GAPL; engl: Group work in Learning Programming) first took stock of the initial situation at the three locations of the joint universities (TU Bergakademie Freiberg, Otto-von-Guericke University Magdeburg and Humboldt University Berlin). Interviews with lecturers (data set 1) and students (data set 2) of the three participating universities were conducted to determine the initial situation. It was analyzed to what extent cooperative and collaborative methods are already used in teaching to learn programming. Subsequently, it can be deduced, among other things, how collaborative programming learning can be supported in the future (technically, didactically, organizationally,
etc.), where unused potentials lie and which obstacles must be considered in an implementation.
The lecturers hold basic courses on learning to program in computer science and were asked, for example, about the extent to which they use group work in their courses and what opportunities and risks they see in group work. The students of computer science have already participated in basic courses on learning to program in computer science or are participating in them in the semester of the interview. Among other things, they were asked about the extent to which they used group work in the course, how they experienced group work, and what opportunities and risks they see in group work. |
| Resource Type |
DOI |
| Creator |
Schulz, Sandra;
Berndt, Sarah;
Hawlitschek, Anja; |
| Availability |
restricted |
| Rights |
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Germany (CC BY-NC-SA 3.0) |
| Collection Start Date |
2020 |
| Collection End Date |
2020 |
| Publication Year |
2023 |
| Data Protection |
Anonymized |
| Measurement Type |
Semi-structured Interviews |
| Population |
Lecturers, students |
| Sample Size |
25 |
| Country |
Germany |
| Educational Institution |
TU Bergakademie Freiberg, Otto-von-Guericke-Universität Magdeburg und Humboldt-Universität zu Berlin |
| Related Publication |
@article{doi:10.1080/08993408.2021.2022361,
author = {Sandra Schulz, Sarah Berndt and Anja Hawlitschek},
title = {Exploring students’ and lecturers’ views on collaboration and cooperation in computer science courses - a qualitative analysis},
journal = {Computer Science Education},
volume = {33},
number = {3},
pages = {318-341},
year = {2023},
publisher = {Routledge},
doi = {10.1080/08993408.2021.2022361},
URL = { https://doi.org/10.1080/08993408.2021.2022361},
eprint = {https://doi.org/10.1080/08993408.2021.2022361}
} |
| Fairness Score |
Total score: 47% (initial)
Findability: 6 of 7
Accessibility: 1.5 of 3
Interoperability: 1 of 4
Reusability: 3 of 10 |
| Resource | Open Dataset |
|---|