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CHOP: Integrating ChatGPT into EFL Oral Presentation Practice

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Jungyoub Cha, Jieun Han, Haneul Yoo, Alice Oh

Human-Computer Interaction · Submitted 10 Jul 2024

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Based on these insights, we suggest further development opportunities and design improvements for the education community.

how it is stated · hedged possibility 0.82 read the record →

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arXiv ID2407.07393 (version 1)
Pith IDDNNKPPC4, Pith's permanent record of this paper and its review
CitationAlice Oh, Haneul Yoo, Jieun Han, Jungyoub Cha. "CHOP: Integrating ChatGPT into EFL Oral Presentation Practice." arXiv:2407.07393 (2024). https://pith.science/paper/DNNKPPC4
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,432 input tokens.

What the abstract itself states, as probabilities: claims first 0.14 · states limitation 0.43 · human participants 0.97 · controlled comparison 0.05 · randomized assignment 0.02 · states quantitative result 0.76 · compares with prior results 0.07 · mentions code or data availability 0.04.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

English as a Foreign Language (EFL) students often struggle to deliver oral presentations due to a lack of reliable resources and the limited effectiveness of instructors' feedback. Large Language Model (LLM) can offer new possibilities to assist students' oral presentations with real-time feedback. This paper investigates how ChatGPT can be effectively integrated into EFL oral presentation practice to provide personalized feedback. We introduce a novel learning platform, CHOP (ChatGPT-based interactive platform for oral presentation practice), and evaluate its effectiveness with 13 EFL students. By collecting student-ChatGPT interaction data and expert assessments of the feedback quality, we identify the platform's strengths and weaknesses. We also analyze learners' perceptions and key design factors. Based on these insights, we suggest further development opportunities and design improvements for the education community.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 English as a Foreign Language (EFL) students often struggle to deliver oral presentations due to a lack of reliable resources and the limited effectiveness of instructors' feedback. background 0.96 0.06 0.02 asserted 0.99
s1 Large Language Model (LLM) can offer new possibilities to assist students' oral presentations with real-time feedback. background 0.94 0.06 0.03 hedged possibility 0.89
s2 This paper investigates how ChatGPT can be effectively integrated into EFL oral presentation practice to provide personalized feedback. contribution 0.97 0.47 0.05 asserted 0.68
s3 We introduce a novel learning platform, CHOP (ChatGPT-based interactive platform for oral presentation practice), and evaluate its effectiveness with 13 EFL students. contribution 0.94 0.96 0.06 asserted 1.00
s4 By collecting student-ChatGPT interaction data and expert assessments of the feedback quality, we identify the platform's strengths and weaknesses. method 0.97 0.97 0.05 asserted 1.00
s5 We also analyze learners' perceptions and key design factors. method 0.65 0.91 0.03 asserted 0.95
s6 Based on these insights, we suggest further development opportunities and design improvements for the education community. future work 1.00 0.71 0.33 hedged possibility 0.82

What kind of paper the classifier reports this is: method or tool 0.70 · evidence from observation or experiment 1.00.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

English as a Foreign Language (EFL) students often struggle to deliver oral presentations due to a lack of reliable resources and the limited effectiveness of instructors' feedback. Large Language Model (LLM) can offer new possibilities to assist students' oral presentations with real-time feedback. This paper investigates how ChatGPT can be effectively integrated into EFL oral presentation practice to provide personalized feedback. We introduce a novel learning platform, CHOP (ChatGPT-based interactive platform for oral presentation practice), and evaluate its effectiveness with 13 EFL students. By collecting student-ChatGPT interaction data and expert assessments of the feedback quality, we identify the platform's strengths and weaknesses. We also analyze learners' perceptions and key design factors. Based on these insights, we suggest further development opportunities and design improvements for the education community.

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