Monitoring Mood in a Stream of Self-reflections

Eduard Hoenkamp, Eduard Hoenkamp, Andrew Gibson

2022

Abstract

Burnout and job stress are tragic events that unfortunately occur in many professions. In the teaching profession, however, it affects not just the individual, but also several concomitant parties: students, school, and parents. This has lead to the widespread problem of teacher attrition, where the challenge has become not so much to attract teachers, but to retain them. The present research is based on the reflective writing of early career teachers (ECTs). These ECTs volunteered to write short weekly reflections during a period of about half a year. Spotting potential wellbeing problems in these series of reflections, however, calls for careful reading and studying of such large amounts of texts that manual processing became impracticable. Hence, we developed an algorithm which transforms such a stream of reflections into a 3-D visualization of mood changes, in which times of stress and potential for burnout can be detected more easily. This in turns makes it possible to notice points of concern when there is still time to intervene.

Paper Citation

in Harvard Style

Hoenkamp E. and Gibson A. (2022). Monitoring Mood in a Stream of Self-reflections. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 1: KDIR; ISBN 978-989-758-614-9, SciTePress, pages 292-299. DOI: 10.5220/0011559700003335

in Bibtex Style

@conference{kdir22,
author={Eduard Hoenkamp and Andrew Gibson},
title={Monitoring Mood in a Stream of Self-reflections},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 1: KDIR},
year={2022},
pages={292-299},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011559700003335},
isbn={978-989-758-614-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 1: KDIR
TI - Monitoring Mood in a Stream of Self-reflections
SN - 978-989-758-614-9
AU - Hoenkamp E.
AU - Gibson A.
PY - 2022
SP - 292
EP - 299
DO - 10.5220/0011559700003335
PB - SciTePress