AIGC-Assisted Evaluation of Teachers' Tour-Guide Scripts: Construction and Practice of the Six-Step Method

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Title: AIGC-Assisted Evaluation of Teachers' Tour-Guide Scripts: Construction and Practice of the Six-Step Method
Language: English
Authors: Lingman Zhou (ORCID 0009-0002-1054-432X), Ting Xu (ORCID 0009-0008-1035-7704), Yunyao Zhang (ORCID 0000-0003-3166-6924)
Source: Asian Journal of Education and Training. 2025 11(4):224-232.
Availability: Asian Online Journal Publishing Group. 244 Fifth Avenue Suite D42, New York, NY 10001. Fax: 212-591-6094; e-mail: info@asianonlinejournals.com; Web site: http://www.asianonlinejournals.com
Peer Reviewed: Y
Page Count: 9
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Secondary Education
Descriptors: Artificial Intelligence, Scripts, Pedagogical Content Knowledge, Technological Literacy, Writing Evaluation, Career and Technical Education, Secondary School Students, Tourism, Computer Uses in Education, Foreign Countries, Career and Technical Education Teachers, Secondary School Teachers, Teacher Attitudes, Interrater Reliability
Geographic Terms: China
ISSN: 2519-5387
Abstract: Artificial Intelligence Generated Content (AIGC) has garnered significant attention in education due to itsstrengthsin language processing and content creation. It offers a novel technical approach to enhance tools for evaluating tour-guide scripts, which are inherently contextual, audienceoriented, and focused on cultural expression. This paper proposes a six-step method for AIGC-assisted evaluation of teachers' tour-guide scripts within the framework of Technological Pedagogical Content Knowledge (TPACK). The approach leverages the integration of technological knowledge, pedagogical knowledge, and content knowledge to establish a clear human-AI workflow. The six steps include Standard Setting, Standardized Input, AIGC Check, Guided Modification, Comparative Analysis, and Summary and Sharing. The study utilizes vocational students as the research group and employs a combination of teacher-AIGC comparison and mixed methods for evaluation. The focus is on the quantity and types of comments, the focus dimensions, and students' performance in second-round writing. Results indicate that AIGC is effective in ensuring language accuracy and structural completeness. Teachers demonstrate stronger professional judgment in areas related to context and cultural expression. Their collaboration within the six-step process significantly enhances evaluation efficiency. This method provides a clear, repeatable process model and offers practical support for integrating AIGC into tour-guide script teaching.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1494643
Database: ERIC
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  Availability: 0
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  Data: AIGC-Assisted Evaluation of Teachers' Tour-Guide Scripts: Construction and Practice of the Six-Step Method
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  Data: <searchLink fieldCode="AR" term="%22Lingman+Zhou%22">Lingman Zhou</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0002-1054-432X">0009-0002-1054-432X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Ting+Xu%22">Ting Xu</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0008-1035-7704">0009-0008-1035-7704</externalLink>)<br /><searchLink fieldCode="AR" term="%22Yunyao+Zhang%22">Yunyao Zhang</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-3166-6924">0000-0003-3166-6924</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Asian+Journal+of+Education+and+Training%22"><i>Asian Journal of Education and Training</i></searchLink>. 2025 11(4):224-232.
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  Data: Asian Online Journal Publishing Group. 244 Fifth Avenue Suite D42, New York, NY 10001. Fax: 212-591-6094; e-mail: info@asianonlinejournals.com; Web site: http://www.asianonlinejournals.com
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  Data: 9
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  Data: <searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Scripts%22">Scripts</searchLink><br /><searchLink fieldCode="DE" term="%22Pedagogical+Content+Knowledge%22">Pedagogical Content Knowledge</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+Literacy%22">Technological Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Evaluation%22">Writing Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Career+and+Technical+Education%22">Career and Technical Education</searchLink><br /><searchLink fieldCode="DE" term="%22Secondary+School+Students%22">Secondary School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Tourism%22">Tourism</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Uses+in+Education%22">Computer Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Career+and+Technical+Education+Teachers%22">Career and Technical Education Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Secondary+School+Teachers%22">Secondary School Teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Teacher+Attitudes%22">Teacher Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Interrater+Reliability%22">Interrater Reliability</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
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  Data: 2519-5387
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Artificial Intelligence Generated Content (AIGC) has garnered significant attention in education due to itsstrengthsin language processing and content creation. It offers a novel technical approach to enhance tools for evaluating tour-guide scripts, which are inherently contextual, audienceoriented, and focused on cultural expression. This paper proposes a six-step method for AIGC-assisted evaluation of teachers' tour-guide scripts within the framework of Technological Pedagogical Content Knowledge (TPACK). The approach leverages the integration of technological knowledge, pedagogical knowledge, and content knowledge to establish a clear human-AI workflow. The six steps include Standard Setting, Standardized Input, AIGC Check, Guided Modification, Comparative Analysis, and Summary and Sharing. The study utilizes vocational students as the research group and employs a combination of teacher-AIGC comparison and mixed methods for evaluation. The focus is on the quantity and types of comments, the focus dimensions, and students' performance in second-round writing. Results indicate that AIGC is effective in ensuring language accuracy and structural completeness. Teachers demonstrate stronger professional judgment in areas related to context and cultural expression. Their collaboration within the six-step process significantly enhances evaluation efficiency. This method provides a clear, repeatable process model and offers practical support for integrating AIGC into tour-guide script teaching.
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  Data: 2026
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  Data: EJ1494643
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1494643
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 224
    Subjects:
      – SubjectFull: Artificial Intelligence
        Type: general
      – SubjectFull: Scripts
        Type: general
      – SubjectFull: Pedagogical Content Knowledge
        Type: general
      – SubjectFull: Technological Literacy
        Type: general
      – SubjectFull: Writing Evaluation
        Type: general
      – SubjectFull: Career and Technical Education
        Type: general
      – SubjectFull: Secondary School Students
        Type: general
      – SubjectFull: Tourism
        Type: general
      – SubjectFull: Computer Uses in Education
        Type: general
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Career and Technical Education Teachers
        Type: general
      – SubjectFull: Secondary School Teachers
        Type: general
      – SubjectFull: Teacher Attitudes
        Type: general
      – SubjectFull: Interrater Reliability
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: AIGC-Assisted Evaluation of Teachers' Tour-Guide Scripts: Construction and Practice of the Six-Step Method
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            NameFull: Lingman Zhou
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            NameFull: Ting Xu
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            NameFull: Yunyao Zhang
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              Y: 2025
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            – TitleFull: Asian Journal of Education and Training
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