Leveraging AI and network analysis to uncover learning trajectories of energy to Foster knowledge-in-use in science education
- DOI
- 10.1186/s43031-025-00150-y
- Published
- 2025-11-28
- Container
- Disciplinary and Interdisciplinary Science Education Research
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s43031-025-00150-y,
title = {Leveraging AI and network analysis to uncover learning trajectories of energy to Foster knowledge-in-use in science education},
author = {Diana Domenichini and Sebastian Strauß and Sebastian Gombert and Nikol Rummel and Hendrik Drachsler and Knut Neumann and Filippo Chiarello and Gualtiero Fantoni and Marcus Kubsch},
year = {2025},
journal = {Disciplinary and Interdisciplinary Science Education Research},
doi = {10.1186/s43031-025-00150-y},
url = {https://doi.org/10.1186/s43031-025-00150-y}
}RIS
TY - JOUR TI - Leveraging AI and network analysis to uncover learning trajectories of energy to Foster knowledge-in-use in science education AU - Diana Domenichini AU - Sebastian Strauß AU - Sebastian Gombert AU - Nikol Rummel AU - Hendrik Drachsler AU - Knut Neumann AU - Filippo Chiarello AU - Gualtiero Fantoni AU - Marcus Kubsch PY - 2025 JO - Disciplinary and Interdisciplinary Science Education Research DO - 10.1186/s43031-025-00150-y UR - https://doi.org/10.1186/s43031-025-00150-y ER -
APA
Domenichini, D., Strauß, S., Gombert, S., Rummel, N., Drachsler, H., Neumann, K., Chiarello, F., Fantoni, G., & Kubsch, M. (2025). Leveraging AI and network analysis to uncover learning trajectories of energy to Foster knowledge-in-use in science education. Disciplinary and Interdisciplinary Science Education Research. https://doi.org/10.1186/s43031-025-00150-y
Source records
- crossref · retrieved 2026-09-26T05:15:43.694Z