poster

Supporting Self-development of Speech Delivery for Education Professionals

Authors:

Michał Okrasa,

Mikołaj P. Woźniak,

Natalia Bartłomiejczyk,

Krzysztof Grudzień,

Andrzej RomanowskiAuthors Info & Claims

MUM '22: Proceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia

Pages 251 - 253

https://doi.org/10.1145/3568444.3570588

Published: 29 December 2022 Publication History

Abstract

A rapid shift towards online education witnessed in recent years, re-shaped the necessary skill set of a modern teacher. Delivery of classes in remote and hybrid format became an integral part of education. However, providing feedback on lecturing technique at scale still remains a challenge. We present the design and implementation of Speecoach – an online tool for lecturers that analyses the audio recordings of lectures and provides feedback concerning their style of speech delivery. Our system analyses the pitch, speech rate and volume dynamics of a recording and compares it against the reference model based on a data set of professional-grade talks. Our tool facilitates teachers’ self-development by providing contextualised feedback on the parameters of their speech and comparing it to different forms of public addresses. Our work contributes a prototype tool facilitating public speaking and envisions future developments and studies in life-long learning of education professionals.

Supplementary Material

Additional visualisations and source code of the prototype software. (Supporting_visuals.pdf)

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Additional visualisations and source code of the prototype software. (Supporting_sourcecode.zip)

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Cited By

An YKolanupaka SAn JMa MChhatwal UKalinowski ARogers MSmith B(2024)Is the Lecture Engaging? Lecture Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) System2024 IEEE International Conference on Big Data (BigData)10.1109/BigData62323.2024.10825180(3358-3366)Online publication date: 15-Dec-2024
https://doi.org/10.1109/BigData62323.2024.10825180

Index Terms

Supporting Self-development of Speech Delivery for Education Professionals
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interactive systems and tools

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cover image ACM Other conferences

MUM '22: Proceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia

November 2022

315 pages

ISBN:9781450398206

DOI:10.1145/3568444

Copyright © 2022 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 December 2022

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MUM 2022

MUM 2022: 21th International Conference on Mobile and Ubiquitous Multimedia

November 27 - 30, 2022

Lisbon, Portugal

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Cited By

An YKolanupaka SAn JMa MChhatwal UKalinowski ARogers MSmith B(2024)Is the Lecture Engaging? Lecture Sentiment Analysis for Knowledge Graph-Supported Intelligent Lecturing Assistant (ILA) System2024 IEEE International Conference on Big Data (BigData)10.1109/BigData62323.2024.10825180(3358-3366)Online publication date: 15-Dec-2024
https://doi.org/10.1109/BigData62323.2024.10825180

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