A study on the design of a customized AI-based speaking diagnosis, learning, and assessment system for public English education.
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| Title: | A study on the design of a customized AI-based speaking diagnosis, learning, and assessment system for public English education. |
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| Authors: | Kim, Heyoung1, Sung, Min-Chang2 mcsung@ginue.ac.kr, Lee, Jin-Hwa1, Choi, Yundeok3 |
| Source: | English Teaching. 2025 Special Issue, Vol. 80, p67-93. 27p. |
| Subject Terms: | *Educational technology, *Language ability testing, *Academic motivation, *Computer assisted instruction, *English language education, *Psychological feedback |
| Abstract: | The purpose of this study is to develop and implement a customized AI-based speaking diagnosis, learning, and assessment system, SpeakMaster, in order to overcome the lack of systematic evaluation and practice opportunities in school English speaking class. This system integrates automated speaking scoring to provide students with feedback on their speaking abilities across pronunciation, conversation, and presentation. This study adopts a design-based research methodology, demonstrating the development and implementation process. 1,451 students and eight teachers in elementary, middle, and high schools participated in the experiment. Data were collected through learning logs, teacher journals, interviews, and post-surveys. The findings indicate that the system design is appropriate for English class, promoting students' flow in engaging speaking practice. Students showed motivation and satisfaction while teachers found the system valuable for monitoring student progress and facilitating speaking assessments. Despite the challenges of improving chatbot performance and enhancing scoring reliability, the results suggest that SpeakMaster shows potential to enhance English speaking education. [ABSTRACT FROM AUTHOR] |
| Copyright of English Teaching is the property of Korea Association of Teachers of English and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 191680690 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A study on the design of a customized AI-based speaking diagnosis, learning, and assessment system for public English education. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kim%2C+Heyoung%22">Kim, Heyoung</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sung%2C+Min-Chang%22">Sung, Min-Chang</searchLink><relatesTo>2</relatesTo><i> mcsung@ginue.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Lee%2C+Jin-Hwa%22">Lee, Jin-Hwa</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Choi%2C+Yundeok%22">Choi, Yundeok</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22English+Teaching%22">English Teaching</searchLink>. 2025 Special Issue, Vol. 80, p67-93. 27p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Educational+technology%22">Educational technology</searchLink><br />*<searchLink fieldCode="DE" term="%22Language+ability+testing%22">Language ability testing</searchLink><br />*<searchLink fieldCode="DE" term="%22Academic+motivation%22">Academic motivation</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+assisted+instruction%22">Computer assisted instruction</searchLink><br />*<searchLink fieldCode="DE" term="%22English+language+education%22">English language education</searchLink><br />*<searchLink fieldCode="DE" term="%22Psychological+feedback%22">Psychological feedback</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The purpose of this study is to develop and implement a customized AI-based speaking diagnosis, learning, and assessment system, SpeakMaster, in order to overcome the lack of systematic evaluation and practice opportunities in school English speaking class. This system integrates automated speaking scoring to provide students with feedback on their speaking abilities across pronunciation, conversation, and presentation. This study adopts a design-based research methodology, demonstrating the development and implementation process. 1,451 students and eight teachers in elementary, middle, and high schools participated in the experiment. Data were collected through learning logs, teacher journals, interviews, and post-surveys. The findings indicate that the system design is appropriate for English class, promoting students' flow in engaging speaking practice. Students showed motivation and satisfaction while teachers found the system valuable for monitoring student progress and facilitating speaking assessments. Despite the challenges of improving chatbot performance and enhancing scoring reliability, the results suggest that SpeakMaster shows potential to enhance English speaking education. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of English Teaching is the property of Korea Association of Teachers of English and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=191680690 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.15858/engtea.80.5.202512.67 Languages: – Code: kor Text: Korean PhysicalDescription: Pagination: PageCount: 27 StartPage: 67 Subjects: – SubjectFull: Educational technology Type: general – SubjectFull: Language ability testing Type: general – SubjectFull: Academic motivation Type: general – SubjectFull: Computer assisted instruction Type: general – SubjectFull: English language education Type: general – SubjectFull: Psychological feedback Type: general Titles: – TitleFull: A study on the design of a customized AI-based speaking diagnosis, learning, and assessment system for public English education. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kim, Heyoung – PersonEntity: Name: NameFull: Sung, Min-Chang – PersonEntity: Name: NameFull: Lee, Jin-Hwa – PersonEntity: Name: NameFull: Choi, Yundeok IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 12 Text: 2025 Special Issue Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10177108 Numbering: – Type: volume Value: 80 Titles: – TitleFull: English Teaching Type: main |
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