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

Julia Chen (), Pauli Lai, Aulina Chan, Vicky Man and Chi-Ho Chan
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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

Sustainability, 2022, vol. 15, issue 1, 1-19

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.

Keywords: AI-assisted evaluation; oral presentation training; oral presentation scoring; human vs. AI scoring; higher education; English as an additional language (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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