Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Foreign Countries | 2 |
| Learning Processes | 2 |
| Lecture Method | 2 |
| Teaching Methods | 2 |
| Artificial Intelligence | 1 |
| Automation | 1 |
| Chemistry | 1 |
| College Faculty | 1 |
| Concept Formation | 1 |
| Course Content | 1 |
| Difficulty Level | 1 |
| More ▼ | |
Author
| Christian Seifert | 1 |
| Dominik Diermann | 1 |
| Emilia Eichinger | 1 |
| Jenna Koenen | 1 |
| Simon J. Preis | 1 |
| Verena Oberhofer | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
| Germany | 2 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Emilia Eichinger; Verena Oberhofer; Christian Seifert; Simon J. Preis – International Journal on E-Learning, 2025
Artificial intelligence (AI) is becoming ever better and more powerful, which is why it can be found in many areas of everyday life. AIs like ChatGPT have also found their way into universities and more and more students are trusting them. Previous studies found opportunities of ChatGPT in academic education such as personalized and interactive…
Descriptors: Foreign Countries, Higher Education, Undergraduate Students, Artificial Intelligence
Dominik Diermann; Jenna Koenen – Journal of Chemical Education, 2024
Most chemistry students struggle with interpreting and understanding NMR (nuclear magnetic resonance) spectra and the general concepts of NMR spectroscopy. NMR spectroscopy seems to be difficult to both teach and learn. Therefore, the corresponding courses should be investigated in more detail. We conducted a survey with N = 39 German university…
Descriptors: Chemistry, Science Instruction, Spectroscopy, Nuclear Energy

Peer reviewed
Direct link
