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Auflistung nach Schlagwort "programming education"

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  • Conference demo
    Adaptive Learning Systems in Programming Education: A Prototype for Enhanced Formative Feedback
    (Proceedings of DELFI 2024, 2024) Lohr, Dominic; Berges, Marc; Chugh, Abhishek; Striewe, Michael
    Formative feedback is crucial in programming education, yet many learning systems fall short, concentrating mostly on pinpointing errors rather than guiding learners on how to resolve them. This is particularly unhelpful for novices who often lack advanced skills like debugging. Feedback is considered more valuable when it addresses error causes rather than just symptoms. However, this is challenging using only conventional methods like unit testing. Identifying error causes requires detailed information about both the error and the learner. Our proposed prototype introduces a new approach to integrating programming exercises into adaptive learning systems. It directly categorizes student code into so-called answer classes using a combination of static and dynamic code analysis. When integrated with data derived from a learner model, this approach enables tailored feedback that lowers the barrier to learning programming while keeping motivation high.
  • Konferenzbeitrag
    Automatic Evaluation of Haskell Assignments Using Existing Haskell Tooling
    (Proceedings of the Sixth Workshop "Automatische Bewertung von Programmieraufgaben" (ABP 2023), 2023) Prokosch, Thomas; Strickroth, Sven
    Learning Haskell is hard for many students because of its functional nature. What is more, Haskell uses a sophisticated type system that many students find quite confusing in the beginning. Therefore, providing timely feedback regarding correctness and quality for student Haskell solutions is important, a challenge particularly in large courses. Computer-assisted correction of submissions offers a way to help tutors and students alike, but this requires the computer to understand the language. Parsing the student submissions into a syntax tree and analyzing the syntax tree is one possibility, however, this paper describes a more straightforward approach that uses only a Haskell compiler and a few standard tools. Based on a migration of a Haskell course with manual to automatic correction we classified assignment into different categories and describe this approach in detail for each category.
  • Konferenzbeitrag
    Plagiarism Detection Approaches for Simple Introductory Programming Assignments
    (Proceedings of the Fifth Workshop "Automatische Bewertung von Programmieraufgaben" (ABP 2021),virtual event, October 28-29, 2021, 2021) Strickroth, Sven
    Learning to program is often perceived as hard by students and some students try to cheat. Plagiarisms are reported to be a huge problem particularly for summative-like assignments (e.g., crediting courses or bonus points). It is important to fight plagiarisms from early on – even for simple assignments. Especially for larger courses tool support is required. This paper provides an overview of features for commonly used plagiarism detection tools, discusses how these can be integrated into existing assessment systems, and how their results relate to each other for two data sets of quite simple assignments. Additionally, these specialized tools are compared with a simple Levenshtein distance approach. The paper also outlines limits on very simple assignments.