Monitoring students’ well-being through journal analysis—study protocol of an explorative approach using natural language processing on typed and transcribed entries to monitor and generate personalized feedback

Nadine N. Schmitt, Michelle D. Schlicher, Andreas Triantafyllopoulos, Lennart Seizer, Caterina Gawrilow, Carsten Eickhoff, Björn W. Schuller, Johanna Löchner

Open source

DOI
10.3389/fdgth.2026.1863876
Published
2026-08-28
Container
Frontiers in Digital Health
Publisher
Frontiers Media SA
Open access
unknown

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BibTeX

@article{allodium:10.3389/fdgth.2026.1863876,
  title = {Monitoring students’ well-being through journal analysis—study protocol of an explorative approach using natural language processing on typed and transcribed entries to monitor and generate personalized feedback},
  author = {Nadine N. Schmitt and Michelle D. Schlicher and Andreas Triantafyllopoulos and Lennart Seizer and Caterina Gawrilow and Carsten Eickhoff and Björn W. Schuller and Johanna Löchner},
  year = {2026},
  journal = {Frontiers in Digital Health},
  doi = {10.3389/fdgth.2026.1863876},
  url = {https://doi.org/10.3389/fdgth.2026.1863876}
}

RIS

TY  - JOUR
TI  - Monitoring students’ well-being through journal analysis—study protocol of an explorative approach using natural language processing on typed and transcribed entries to monitor and generate personalized feedback
AU  - Nadine N. Schmitt
AU  - Michelle D. Schlicher
AU  - Andreas Triantafyllopoulos
AU  - Lennart Seizer
AU  - Caterina Gawrilow
AU  - Carsten Eickhoff
AU  - Björn W. Schuller
AU  - Johanna Löchner
PY  - 2026
JO  - Frontiers in Digital Health
DO  - 10.3389/fdgth.2026.1863876
UR  - https://doi.org/10.3389/fdgth.2026.1863876
ER  - 

APA

Schmitt, N. N., Schlicher, M. D., Triantafyllopoulos, A., Seizer, L., Gawrilow, C., Eickhoff, C., Schuller, B. W., & Löchner, J. (2026). Monitoring students’ well-being through journal analysis—study protocol of an explorative approach using natural language processing on typed and transcribed entries to monitor and generate personalized feedback. Frontiers in Digital Health. https://doi.org/10.3389/fdgth.2026.1863876

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