Group work in Learning Programming (GAPL)

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.

本研究项目名为《团队中的数字编程》（DiP-iT），旨在探讨计算机科学领域中协作学习的教学发展与支持方式，并着重于学习分析方法的运用与实施。该项目旨在为计算机科学学习中团队编程的教学与技术支持提供指导。为此，子研究“编程学习中的团队协作”（GAPL；英文名：Group work in Learning Programming）首先对联合大学（TU Bergakademie Freiberg、Otto-von-Guericke University Magdeburg 和 Humboldt University Berlin）的三个地点的初始状况进行了全面评估。通过访谈（数据集1）三位参与大学的讲师（数据集2）和学生，以确定初始状况。分析结果显示，在编程学习中，协作与协作方法在教学中已被广泛采用。据此，我们可以推断出未来如何支持协作编程学习（技术、教学、组织等方面），其中存在的未被充分利用的潜力以及实施过程中必须考虑的障碍。讲师们负责教授计算机科学中的编程基础课程，并被询问他们在课程中运用团队工作的程度以及他们认为团队工作带来的机会和风险。计算机科学专业的学生已经参加过或正在参加计算机科学编程基础课程，并被询问他们在课程中使用团队工作的程度、他们对团队工作的体验以及他们认为团队工作带来的机会和风险。