Machine learning based feedback on textual student answers in large courses JP Bernius, S Krusche, B Bruegge Computers and Education: Artificial Intelligence 3, 100081, 2022 | 34 | 2022 |
Toward usability problem identification based on user emotions derived from facial expressions JO Johanssen, JP Bernius, B Bruegge 2019 IEEE/ACM 4th International Workshop on Emotion Awareness in Software …, 2019 | 20 | 2019 |
A machine learning approach for suggesting feedback in textual exercises in large courses JP Bernius, S Krusche, B Bruegge 8th ACM Conference on Learning @ Scale, 173-182, 2021 | 13 | 2021 |
Towards the Automation of Grading Textual Student Submissions to Open-ended Questions JP Bernius, A Kovaleva, S Krusche, B Bruegge 4th European Conference on Software Engineering Education, 61-70, 2020 | 7 | 2020 |
Toward the Automatic Assessment of Text Exercises JP Bernius, B Bruegge Workshop on Innovative Software Engineering Education, 19-22, 2019 | 7 | 2019 |
Global software engineering in a global classroom P Schmiedmayer, R Chatley, JP Bernius, S Krusche, K Chaika, K Krinkin, ... ACM/IEEE 44th International Conference on Software Engineering - Software …, 2022 | 3 | 2022 |
Segmenting Student Answers to Textual Exercises Based on Topic Modeling. JP Bernius, A Kovaleva, B Bruegge SEUH, 72-73, 2020 | 3 | 2020 |
Toward Computer-Aided Assessment of Textual Exercises in Very Large Courses JP Bernius 52nd ACM Technical Symposium on Computer Science Education, 1386-1386, 2021 | 2 | 2021 |
Constructive Alignment in Modern Computing Education: An Open-Source Computer-Based Examination System M Linhuber, JP Bernius, S Krusche 23nd Koli Calling International Conference on Computing Education Research, 2023 | 1 | 2023 |
Automatic Assessment of Textual Exercises JP Bernius Technische Universität München, 2022 | | 2022 |