CategoriesJournal article

New pub: key technical features of automated feedback systems - a systematic feature analysis

New publication alert from the HyTea project titled "Enhancing presentation skills: key technical features of automated feedback systems - a systematic feature analysis", led by PhD candidate Stefan Hummel

The article presents a systematic analysis of oral presentation automated feedback systems (OPAFs), which are designed to support public speaking through automated feedback mechanisms.

Our study assessed 14 existing systems across a comprehensive set of 83 functional features and 12 additional aspects. Although there is an increased interest in these systems, we found that the overall implementation rate of key features remains low at just 16%, with notable gaps in critical areas like verbal-nonverbal congruency, adaptive feedback, and content structuring.

Moreover, evaluation methodologies tend to focus heavily on usability and user experience, while aspects such as learning outcomes and pedagogical value are often overlooked. The majority of studies are lab-based, which raises concerns about the generalisability of findings to real-world educational environments.

Our findings emphasise the importance of improved feature integration, real-world testing, and closer collaboration with educators to help transition these tools from experimental prototypes to effective educational technologies.

This is the first journal article published about the HyTea project and contributed substantially to building a solid foundation for Presentable (www.presentable.info).

This milestone was especially significant as it marks my first article published as the last author. Well done, Stefan, thanks to my co-authors and everyone who supported this research.

Paper available Open Access 🔓 here
https://www.inderscienceonline.com/doi/abs/10.1504/IJTEL.2025.148593

Published by Daniele Di Mitri

Daniele Di Mitri is a professor of Multimodal Learning Technologies at the German University of Digital Science. At the German UDS, he leads the research group "Augmented Feedback" and coordinates the master's in Advanced Digital Realities.  He is an associated researcher at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele Di Mitri received his PhD in Learning Analytics and Wearable Sensor Support from the Open University of the Netherlands. His current research focuses on developing AI-driven, multimodal learning technologies to enhance digital education. It aims to create innovative, responsible solutions that improve learning experiences through advanced feedback systems and ethical integration of technology. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the CrossMMLA, a special interest group of the Society for Learning Analytics Research, and the chair of the special interest group on AI for Education of the European Association for Technology-Enhanced Learning.

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