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| In 2025 | 2 |
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| Alexander Tobias Neumann | 1 |
| Julia Jochim | 1 |
| Matthias Jarke | 1 |
| Stefan Decker | 1 |
| Sulayman Sowe | 1 |
| Vera Kristina Lenz-Kesekamp | 1 |
| Yue Yin | 1 |
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| Reports - Research | 2 |
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Direct linkJulia Jochim; Vera Kristina Lenz-Kesekamp – Information and Learning Sciences, 2025
Purpose: Large language models such as ChatGPT are a challenge to academic principles, calling into question well-established practices, teaching and exam formats. This study aims to explore the adaptation process regarding text-generative artificial intelligence (AI) of students and teachers in higher education and to identify needs for change.…
Descriptors: Artificial Intelligence, Student Needs, Higher Education, Technology Uses in Education
Alexander Tobias Neumann; Yue Yin; Sulayman Sowe; Stefan Decker; Matthias Jarke – IEEE Transactions on Education, 2025
Contribution: This research explores the benefits and challenges of developing, deploying, and evaluating a large language model (LLM) chatbot, MoodleBot, in computer science classroom settings. It highlights the potential of integrating LLMs into LMSs like Moodle to support self-regulated learning (SRL) and help-seeking behavior. Background:…
Descriptors: Computer Science Education, Databases, Information Systems, Classroom Environment
