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Data Package dipit2020


Study Series:
Humboldt-Universität zu Berlin; Otto-von-Guericke Universität Magdeburg
Sponsored by:
  • Federal Ministry of Education and Research
Project Contributors:
Schulz, Sandra ORCID logo;
Berndt, Sarah;
Hawlitschek, Anja
Survey Design:
Survey Data Type:
Qualitative Data
Data available in:
Data Curation:
İkiz-Akıncı, Dilek ORCID logo;
Niebuhr, Johanna
1.0.0 (published at Jan 26, 2023)
Additional Links:

Data Package 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.

Documents related to this Data Package

Data Package

Title Description Document Language DOI File
Daten- und Methodenbericht des Datenpakets „Gruppenarbeit beim Programmieren lernen (GAPL)“  The report includes key content and methodological information of the data package.  German link_off
Gruppenarbeit beim Programmieren lernen (GAPL)  Data Package Overview  German link_off dipit2020_Overview_de.pdf
Group work in Learning Programming (GAPL)  Data Package Overview  English link_off dipit2020_Overview_en.pdf
Datennutzungshinweise  Data Use Instructions of the data package  German link_off dipit2020_DataUseInstructions_de.pdf
Release Notes  The release notes contain information about the current version and changes compared to previous versions.  German link_off

Related Objects

Surveys Instruments (2) Questions Data Sets Publications Concepts
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Questionnaire for lecturers of the courses 
Questionnaire for students of the course 
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