Artificial intelligence as a feedback provider in practicing public speaking
Open accessAbstract
Traditionally, feedback is regarded as crucial in the context of learning and teaching public speaking. In the current course, we analyzed the feedback provided to students by an artificial intelligence (AI) coach and students’ learning experiences in developing public-speaking skills via this tool. The MySpeaker Rhetorich speech coach application served as a platform for practicing public speaking within the course. Students found AI-powered feedback to be advantageous and less biased than feedback from their peers. However, although the AI coach offers benefits, it is not without challenges, and currently, solely relying on it as a teaching tool appears inadequate.Course Voluntary AI-powered public-speaking course.Objectives Participants are able to prepare and deliver a speech and gain basic knowledge and understanding about speech composition and delivery. Participants learn to assess their public-speaking skills by receiving feedback from AI and peers and apply their knowledge on public speaking by providing feedback to others.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Students in one study reported the feedback from the GenAI coach was more objective and kinder than some of the feedback they received from their classmates.
“Still, students in one study reported the feedback from the GenAI coach was more objective and kinder than some of the feedback they received from their classmates (Isotalus et al. 2025).”
From Generative Artificial Intelligence, Formative Epistemic Injustice, and Educators’ Solutions (2026) · cites this paper as Isotalus et al. 2025
In “Feedback from the AI coach” and “Appraisal” (pages not available), students describe AI feedback as neutral, unbiased, and easier to receive than peer feedback. That supports “more objective,” but the paper does not report that students found it kinder; “Peer feedback” also describes some classmates’ feedback as positive and encouraging. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The structure of phenotypic personality traits.
Goldberg, L. R. (1993) · American Psychologist · doi:10.1037/0003-066x.48.1.26 · Cited by 4,816 · see citing works
The structure of phenotypic personality traits.
Goldberg, L. R. (1993) · American Psychologist · doi:10.1037//0003-066x.48.1.26 · Cited by 4,816 · see citing works
van Ginkel, S. O., Gulikers, J. T. M., Biemans, H. J. A., & Mulder, M. (2015) · Educational Research Review · doi:10.1016/j.edurev.2015.02.002 · Cited by 200 · see citing works
Instructor Presence in Online Courses and Student Satisfaction
Ladyshewsky, R. K. (2013) · International Journal for the Scholarship of Teaching and Learning · doi:10.20429/ijsotl.2013.070113 · Cited by 183 · see citing works
I, teacher: Using Artificial Intelligence (AI) and social robots in communication and instruction
Edwards, C., Edwards, A., Spence, P. R., & Lin, X. (2018) · Communication Education · doi:10.1080/03634523.2018.1502459 · Cited by 159 · see citing works
Witt, P. L., & Kerssen‐Griep, J. (2010) · Communication Education · doi:10.1080/03634523.2010.507820 · Cited by 102 · see citing works
AI-Assisted Enhancement of Student Presentation Skills: Challenges and Opportunities
Chen, J., Lai, P. P. Y., Chan, A., Man, V., & Chan, C.-H. (2022) · Sustainability · doi:10.3390/su15010196 · Cited by 53 · see citing works
Twelve tips for implementing a successful peer assessment
Finn, G. M., & Garner, J. (2011) · Medical Teacher · doi:10.3109/0142159x.2010.546909 · Cited by 43 · see citing works
Augmented Education in the Global Age
Araya, D., & Marber, P. (2023) · Routledge eBooks · doi:10.4324/9781003230762 · Cited by 31 · see citing works
Clark-Gordon, C. V., Bowman, N. D., Watts, E. R., Banks, J., & Knight, J. M. (2018) · Communication Education · doi:10.1080/03634523.2018.1428759 · Cited by 30 · see citing works
(2015) · De Gruyter eBooks · doi:10.1515/9783110317459 · Cited by 28 · see citing works
Having it both ways: learning communication skills in face-to-face and online environments
Eklund, M., & Isotalus, P. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1270164 · Cited by 26 · see citing works
Self-citationChollet, M., Marsella, S., & Scherer, S. J. (2021) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-021-00371-1 · Cited by 24 · see citing works
Online Peer Motivational Feedback in a Public Speaking Course
Saidalvi, A., & Samad, A. A. (2019) · GEMA Online Journal of Language Studies · doi:10.17576/gema-2019-1904-14 · Cited by 19 · see citing works
Measuring peer feedback in face-to-face and online public-speaking workshops
Nicolini, K. M., & Cole, A. W. (2019) · Communication Teacher · doi:10.1080/17404622.2017.1400678 · Cited by 12 · see citing works
Baker, M., & Baker, W. H. (2022) · Business and Professional Communication Quarterly · doi:10.1177/23294906221120015 · Cited by 7 · see citing works
Improve Communication Skills using AI
Jadhav, S. V., Shinde, S., Dalal, D. K., Deshpande, T. M., Dhakne, A. S., & Gaherwar, Y. M. (2023) · International Conference on Emerging Smart Computing and Informatics (ESCI) · doi:10.1109/esci56872.2023.10099941 · Cited by 7 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Chen, X., Zou, D., Xie, H., & Cheng, G. (2021). Twenty years of personalized language learning: Topic modeling and knowledge mapping. Educational Technology & Society, 24(1), 205-222. https://doi.org/10.30191/ETS.202101_24(1).0016 · DOI
Cited by
Sorted by citations
Sichterman, B., Banihashem, S. K., Verstappen, M., Schipper, M., Waisvisz, P., Noroozi, O., & van Ginkel, S. O. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2521338 · Cited by 15 · see citing works
KARAGÖL, E., Yıldırım, D., & KORKMAZ, C. B. (2025) · Teaching and Teacher Education · doi:10.1016/j.tate.2025.105180 · Cited by 18 · see citing works
Xun, H., Zhou, C.-Y., Li, Y.-X., & Wu, Y.-K. (2025) · Learning and Motivation · doi:10.1016/j.lmot.2025.102211 · Cited by 6 · see citing works
AI-driven gamified speech training for primary students: framework and evaluation
Sun, X., Xu, Z.-X., Meng, L.-C., & Shi, D.-N. (2025) · Computers and Education Open · doi:10.1016/j.caeo.2025.100312 · Cited by 3 · see citing works
Generative Artificial Intelligence, Formative Epistemic Injustice, and Educators’ Solutions
Smith, S. J. (2026) · Studies in Philosophy and Education · doi:10.1007/s11217-026-10100-4 · Cited by 2 · see citing works
Schmälzle, R., & Lim, S. (2025) · Communication Teacher · doi:10.1080/17404622.2025.2545366 · Cited by 2 · see citing works
Meng, F., & Zou, B. (2026) · Journal of China Computer-Assisted Language Learning · doi:10.1515/jccall-2025-0033 · Cited by 2 · see citing works
La, H., Li, Z., Kong, H., & Peiris, R. L. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3720177 · Cited by 1 · see citing works
Chew, Y. W. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13688-1 · Cited by 1 · see citing works
Ge, L., Xia, Y., & Yang, C. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1747355 · Cited by 4 · see citing works
Clark, L. C., & Smith, A. B. (2026) · Communication Teacher · doi:10.1080/17404622.2026.2701123 · Cited by 1 · see citing works
Stances toward generative AI in teaching and learning: An introduction to the special issue
Jackson, M. H. (2024) · Communication Teacher · doi:10.1080/17404622.2024.2419012 · Cited by 1 · see citing works
A Profile of Public Speaking Competence among Senior High School Students in Jakarta
Siregar, Y., Herlina, H., & Utami, S. R. (2025) · DEIKTIS Jurnal Pendidikan Bahasa dan Sastra · doi:10.53769/deiktis.v5i2.1775
Defining your Why: Cultivating Identity and Belonging through Coaching on Communication
Kwaczala, A. T., Davis, A., & Ellis, H. J. C. (2025) · ASEE Annual Conference & Exposition · doi:10.18260/1-2--56214
Abdullahi, A. (2025) · Medical Science Educator · doi:10.1007/s40670-025-02572-9
URINOVA, U. (2025) · Foreign Languages in Uzbekistan · doi:10.36078/1767694353
Virtually speaking: Harnessing virtual reality to support oral communication pedagogy
Haynal, K., Allen, S. T., & Zhang, L. Z. (2026) · Communication Teacher · doi:10.1080/17404622.2026.2616496
Montoya-Espinoza, L. M., & Coloma-Chong, J. K. (2026) · Revista Científica Ciencia y Método · doi:10.55813/gaea/rcym/v4/n1/161
Integrating Large Language Model Applications in Graduate Applied Behavior Analysis Education
Wilson, J. B., & Karsina, A. (2026) · Behavior Analysis in Practice · doi:10.1007/s40617-026-01159-z
Exploring GenAI as an Alternative to Traditional Language Learning
Eroglu, U., Oran, Ç., Severdim, K., Çelik, K. K., & Hancı-Azizoğlu, E. B. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/407558
OratorPath: An AI-Powered Framework for Enhanced Public Speaking Proficiency
Aizaz, F., Ehsan, L., Tariq, M. T., & Rehman, S. U. (2026) · International Journal of Innovations in Science and Technology · doi:10.33411/ijist/1841
Yılmaz, H. A., & Er, G. (2026) · Language learning & technology · doi:10.64152/10125/73698
Beyond Blended Learning Effects of AI-Driven Feedback on L2 Writing Development
Sultana, S. (2025) · International Journal of Arts and Humanities · doi:10.61424/ijah.v3i3.941
- Authors
- Isotalus, P., Eklund, M., & Karppinen, K.
- Affiliations
- Tampere University (FI)
- Corresponding author
- Isotalus, Pekka
- Venue
- Communication Teacher
- Publisher
- Informa UK Limited
- Published
- 2024-10-02
- Volume
- 39
- Issue
- 1
- Pages
- 78-85
- ISSN
- 1740-4622 (ISSN-L)
- 1740-4630
- OpenAlex
- W4403063148
- Cited by
- 23
- References
- 17
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 1
- FWCI
- 8.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Communication Teacher (publishedVersion, cc-by)
- Tampere University Institutional Repository (Tampere University) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Educational Technology and Pedagogy
- Social Sciences › Psychology › Social Psychology › Communication in Education and Healthcare
- Keywords
- artificial intelligence, AI-generated feedback, public speaking, peer feedback, speech delivery, speech composition, student learning experience, speech education
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review