Enhancing presentation skills: key technical features of automated feedback systems - a systematic feature analysis
Oral presentation automated feedback systems (OPAFs) aim to enhance public speaking by offering automated feedback. Despite their potential, most remain at the prototype stage and are not widely adopted in education. This study systematically analyses the implementation of functional features in existing OPAFs and investigates the evaluation methodologies used in published research. A scoring sheet, developed from expert input and supporting literature, was used to analyse 14 systems across 83 features and 12 additional aspects. Results show a low implementation rate of just 16%, with notable gaps in verbal-nonverbal congruency, adaptive feedback, and content structuring. Evaluation methods often focus on usability and user experience, while learning outcomes and pedagogical value are rarely addressed. Most studies rely on lab-based evaluations, limiting generalisability. The findings underline the need for improved feature integration, real-world testing, and collaboration with educators. Addressing these issues could support the transition from experimental tools to effective educational technologies.
Authors
- Nina Mouhammad (ORCID: https://orcid.org/0000-0002-6250-9502)
- Roland Klemke (ORCID: https://orcid.org/0000-0002-9268-3229)
- Daniele Di Mitri (ORCID: https://orcid.org/0000-0002-9331-6893)
- Jan Schneider (ORCID: https://orcid.org/0000-0002-1229-2579)
- S. Hummel
Institutions
- Goethe University Frankfurt (DE)
- Frankfurt Institute for Advanced Studies (DE)
- Leibniz Institute for Financial Research SAFE (DE)
Publication Details
- Journal
- International Journal of Technology Enhanced Learning
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1504/ijtel.2025.148593
- Citations
- 1
- Primary Topic
- Innovative Teaching and Learning Methods
- Type
- article
- Field-Weighted Citation Impact
- 3.44
Funders
- Bundesministerium für Bildung und Forschung
- Leibniz-Gemeinschaft