Do Large Language Models Require Prior Knowledge for Learning? A Preliminary Study
LLMs find increasing use as an educational tool, both from the instructors' perspective as well as from the students'. This paper presents a preliminary study investigating the effects of prior knowledge concerning a given topic on the effectiveness of using an LLM (Microsoft Copilot) to study the topic. Choosing Büchi automata as an example, twelve computer science students were tasked with first giving a self-report on prior knowledge, then studying Büchi automata for 15 minutes using only an LLM as a study tool, and afterwards filling out a short topical questionnaire. Two trends could be observed: Prior knowledge of LLMs seems to increase the learning effect while prior knowledge of a topic that is related to the studied topic seems to diminish the learning effect.
Authors
- Louis Kobras
- Marcus Soll (ORCID: https://orcid.org/0000-0002-6845-9825)
Institutions
- Nordakademie (DE)
Publication Details
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1109/educon62633.2025.11016655
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00