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Data Package dipit2020

Details

Study Series:
Institution(s):
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:
Cross-Section 
Survey Data Type:
Qualitative Data
Data available in:
German
Data Curation:
İkiz-Akıncı, Dilek ORCID logo;
Niebuhr, Johanna
DOI:
Version:
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 dipit2020_Data-Methods_Report.de.pdf
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 dipit2020_ReleaseNotes.md.txt

Related Objects

Surveys (2) Instruments Questions Data Sets Publications Concepts
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Qualitative Data, Semi-structured Interview 
Population: Lecturers who, according to the module structures, have held lectures and/or exercises in corresponding basic courses (1st - 2nd semester) for Bachelor students of (Applied) Computer Science and related courses such as Business Informatics, Computational V... 
Sampling Procedure: Non-probability Sample: Purposive Sample 
Field Period: May 1, 2020 - Jul 31, 2020
Qualitative Data, Semi-structured Interview 
Population: Students in the 3rd to 6th semester of a Bachelor's degree program in (Applied) Computer Science, Business Informatics or Engineering Informatics. The students attended the basic courses for learning programming or introduction to databases between the sum... 
Sampling Procedure: Non-probability Sample: Respondent-assisted Sample 
Field Period: May 1, 2020 - Jul 31, 2020
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