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.

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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

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article

Enhancing presentation skills: key technical features of automated feedback systems - a systematic feature analysis

Nina Mouhammad, Roland Klemke, Daniele Di Mitri, Jan Schneider et al.
1 citations
International Journal of Technology Enhanced Learning
Innovative Teaching and Learning Methods
3.44
article

Enhancing presentation skills: key technical features of automated feedback systems - a systematic feature analysis

Nina Mouhammad, Roland Klemke, Daniele Di Mitri, Jan Schneider, S. Hummel
article en
1 citations

Abstract

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.

International Journal of Technology Enhanced LearningVol. 17(6)
Goethe University Frankfurt (DE), Frankfurt Institute for Advanced Studies (DE), Leibniz Institute for Financial Research SAFE (DE)
Bundesministerium für Bildung und Forschung, Leibniz-Gemeinschaft
Openalex Percentile: Top 7%
Innovative Teaching and Learning Methods
3.44
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Enhancing presentation skills: key technical features of automated feedback systems - a systematic feature analysis — Nina Mouhammad, Roland Klemke, et al. · International Journal of Technology Enhanced Learning (2025) | TGRS Research Map | TGRS