Nils Knoth
Biographic Data
| ID | 9493855 |
|---|---|
| NAME | Nils Knoth |
| GIVEN NAMES | Nils |
| FAMILY NAME | Knoth |
| SIGNATURE | KNOTH N |
| AFFILIATIONS | University of Kassel |
| ORCID | 0009-0000-9403-2991 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Perspectives of academic staff on artificial intelligence in higher education
Despite the recent increase in research on artificial intelligence in education (AIED), studies investigating the perspectives of academic staff and the implications for future-oriented teaching at higher education institutions remain scarce. This exploratory study provides initial insight into the perspectives of 112 academic staff by focusing on three aspects considered relevant for sustainable, future-oriented teaching in higher education in t…
Algorithm aversion revisited
Scientific publications on AI education frequently express concerns that students at all educational levels, lacking sufficient AI literacy, may become passive learners due to the use of generative language models and blindly trust AI outputs. Concurrently, recent research has increasingly identified an ‘algorithm aversion’ tendency, leading individuals to regard information generated by AI with scepticism. Both uncritical trust and unfounded ave…
AI literacy and its implications for prompt engineering strategies
Artificial intelligence technologies are rapidly advancing. As part of this development, large language models (LLMs) are increasingly being used when humans interact with systems based on artificial intelligence (AI), posing both new opportunities and challenges. When interacting with LLM-based AI system in a goal-directed manner, prompt engineering has evolved as a skill of formulating precise and well-structured instructions to elicit desired …
No prominent works on this page.
AI literacy and its implications for prompt engineering strategies
Artificial intelligence technologies are rapidly advancing. As part of this development, large language models (LLMs) are increasingly being used when humans interact with systems based on artificial intelligence (AI), posing both new opportunities and challenges. When interacting with LLM-based AI system in a goal-directed manner, prompt engineering has evolved as a skill of formulating precise and well-structured instructions to elicit desired …
Perspectives of academic staff on artificial intelligence in higher education
Despite the recent increase in research on artificial intelligence in education (AIED), studies investigating the perspectives of academic staff and the implications for future-oriented teaching at higher education institutions remain scarce. This exploratory study provides initial insight into the perspectives of 112 academic staff by focusing on three aspects considered relevant for sustainable, future-oriented teaching in higher education in t…
Algorithm aversion revisited
Scientific publications on AI education frequently express concerns that students at all educational levels, lacking sufficient AI literacy, may become passive learners due to the use of generative language models and blindly trust AI outputs. Concurrently, recent research has increasingly identified an ‘algorithm aversion’ tendency, leading individuals to regard information generated by AI with scepticism. Both uncritical trust and unfounded ave…
AI in Service Interactions (2 works) · Artificial Intelligence in Healthcare and Education (2 works) · Computer Science (2 works) · Engineering (2 works) · Engineering ethics (2 works) · Generative grammar (2 works) · Knowledge management (2 works) · Literacy (2 works) · Psychology (2 works) · Adaptation (eye) (1 work)