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

Julia Chen*, Pauli Lai, Aulina CHAN, Vicky MAN, Chi Ho Chan

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

12 Citations (Scopus)

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.
Original languageEnglish
Article number196
Number of pages19
JournalSustainability
Volume15
Issue number1
DOIs
Publication statusPublished - 1 Jan 2023

User-Defined Keywords

  • AI-assisted evaluation
  • oral presentation training
  • oral presentation scoring
  • human vs. AI scoring
  • higher education
  • English as an additional language

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