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AI-Assisted Enhancement of Student Presentation Skills: Challenges and Opportunities

Author

Listed:
  • Julia Chen

    (Educational Development Centre, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China)

  • Pauli Lai

    (Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China)

  • Aulina Chan

    (Language Centre, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China)

  • Vicky Man

    (Language Centre, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China)

  • Chi-Ho Chan

    (Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong SAR, China)

Abstract

Oral presentation is a popular type of assessment in undergraduate degree programs. However, presentation delivery and grading pose considerable challenges to students and faculty alike. For the former, many students who learn English as an additional language may fear giving oral presentations in English due to a lack of confidence. For the latter, faculty who teach multiple classes and have many students may find it difficult to spend adequate time helping students refine their communication skills. This study examines an AI-assisted presentation platform that was built to offer students more opportunities for presentation training without the need for faculty intervention. Surveys with students and teachers were conducted to inform the design of the platform. After a preliminary platform was developed, two methods were employed to evaluate its reliability: a beta test with 24 students and a comparison of AI and human scoring of the presentation performance of 36 students. It was found that students are highly receptive to the platform, but there are noticeable differences between AI and human scoring abilities. The results reveal some limitations of AI and human raters, and emphasize the potential benefit of exploring collaborative AI–human intelligence.

Suggested Citation

  • Julia Chen & Pauli Lai & Aulina Chan & Vicky Man & Chi-Ho Chan, 2022. "AI-Assisted Enhancement of Student Presentation Skills: Challenges and Opportunities," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:196-:d:1012157
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    References listed on IDEAS

    as
    1. Bogdan IANCU, 2019. "Evaluating Google Speech-to-Text API's Performance for Romanian e-Learning Resources," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 23(1), pages 17-25.
    2. Sandra Stefanovic & Elena Klochkova, 2021. "Digitalisation of Teaching and Learning as a Tool for Increasing Students’ Satisfaction and Educational Efficiency: Using Smart Platforms in EFL," Sustainability, MDPI, vol. 13(9), pages 1-14, April.
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    Cited by:

    1. Brian S. Bantugan, PhD & Xue Li & Lu Liu & Yang Liu & Xinge Wang & Meiyuan Yang & Xinyuan Zhang, 2024. "The Adoption of Artificial Intelligence of Selected International Chinese Educators Enrolled as Graduate Students in the College of Education of St. Paul University Manila," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(2), pages 133-146, February.

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