| Project Title: | Autograders in programming education for INgeneers. |
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| Project code: | AutoPING (within the framework of examING). |
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| Project description/objective: | In recent years, a variety of so-called autograders have been developed to help instructors automatically evaluate and grade programs developed by students according to predefined criteria and rules. One of the most promising web-based open source solutions is CodeOcean. Developed by the Hasso Plattner Institute (University of Potsdam), this software is characterized by its wide range of functions, which not only enable the automatic evaluation and grading of programs, but also provide a complete web-based execution and development environment with a variety of logging, help and collaboration functions. The goal of our project is to develop and test new competence-oriented, digitally supported teaching offers and examinations for programming education at the TU Ilmenau on the basis of an autograder. The experience gained will be used to establish a support structure for the development of further digital teaching offers and exams for programming education. Using CodeOcean as an example, we want to show that the use of autograders offers advantages for students and teachers. |
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| Project Collaborators: | Dr. Daniel Fischer
Jonas Genath, M. Sc.
Gunther Kreuzberger (Virtual Worlds and Digital Games, Fak. WM)
Dr.-Ing. Ulf Döring (Data-intensive Systems and Visualization Group, Fak. IA)
Dr.-Ing. Peter Amthor (Distributed Systems and Operating Systems, Fak. IA) |
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| Term: | 2022-2024 |
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| Keywords: | autograder; programming; automatic feedback; CodeOcean |
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| Project URL/References: | examING project page |
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| Publications: | Peter Amthor, Ulf Döring, Daniel Fischer, Jonas Genath, Gunther Kreuzberger: Erfahrungen bei der Integration des Autograding-Systems CodeOcean in die universitäre Programmierausbildung. In: André Greubel, Sven Strickroth, Michael Striewe (Hrsg.): Proceedings of the Sixth Workshop „Automatische Bewertung von Programmieraufgaben“ (ABP 2023). Gesellschaft für Informatik e.V. (GI), München 2023, S. 67–74, DOI: 10.18420/abp2023-9 |
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