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Paper "Towards the Automation of Grading Textual Student Submissions to Open-ended Questions" 

The second paper I want to share today is titled “Towards the Automation of Grading Textual Student Submissions to Open-ended Questions” and was published at the European Conference on Software Engineering Education (ECSEE) in 2020. DOI : Preprint:
In this paper we present an algorithm using topic modeling for segmenting the submissions into smaller blocks.

The paper “Toward the Automatic Assessment of Text Exercises” is available open-access:

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Paper "Toward the Automatic Assessment of Text Exercises" 

I published my first short paper titled “Toward the Automatic Assessment of Text Exercises” for the 2nd Workshop on Innovative Software Engineering Education (ISEE) in 2019.

The paper argues that automated assessment provides more individual feedback for students, combined with quicker feedback and grading cycles. We introduce a concept for automatic assessment of text exercises using machine learning techniques.

Following my introduciton, I will post my most important publications to share what I am working on with the academic fediverse. Maybe this helps to discover peers working on similar topics or starts some interesting conversations.

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I have been on Twitter for 13 years but mostly read stuff. My recent tweets have mostly been about my papers or conferences, so I decided to join With this account, I want to give the another go. I am happy to connect with scientists worldwide, especially in the areas of , , , and related fields.

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Hello world, this is my :
I am a doctoral candidate at the Research Group for Applied Software Engineering (Prof. Bruegge) at the Technical University of Munich (TUM). My research focuses on computer science education and automated assessments of textual exercises. In addition, I am teaching the lecture courses Introduction to Software Engineering (~2,200 students) and Patterns in Software Engineering (~700 students) at TUM.

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Scholar Social is a microblogging platform for researchers, grad students, librarians, archivists, undergrads, academically inclined high schoolers, educators of all levels, journal editors, research assistants, professors, administrators—anyone involved in academia who is willing to engage with others respectfully.