Improving students' learning performance and summarization ability through a Generative AI-enabled Chatbot.
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| Title: | Improving students' learning performance and summarization ability through a Generative AI-enabled Chatbot. |
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| Authors: | Huang, Anna Y. Q.1 anna.yuqing@gmail.com, Chien-Chang Lin1 cclin3123@gmail.com, Sheng-Yi Su1 zxca497@gmail.com, Ruo-Xuan Yen1 apple310565@gmail.com, Yang, Stephen J. H.1 stephen.yang.ac@gmail.com |
| Source: | Educational Technology & Society. Jul2025, Vol. 28 Issue 3, p82-111. 30p. |
| Subject Terms: | *Generative artificial intelligence, *Artificial intelligence, *Computational linguistics, Data mining, Scientific computing |
| Abstract: | Previous studies have demonstrated that summarization activities effectively enhance students' reading comprehension and learning performance. With the ongoing surge in the application of artificial intelligence in education, this study introduces a chatbot with generative artificial intelligence (GenAI) to assist students in reviewing Python programming concepts by refining the summary after class. Consequently, this study aims to assess the efficacy of the proposed a GenAI-enabled chatbot in enhancing the summarization ability and learning performance of novice programmers in college. Experimental results reveal that, the GenAIenabled chatbot not only significantly improves students' programming coding performance but also significantly improves their summarization ability. It is noteworthy that students' summarization proficiency is not only elevated from the outset but also consistently progresses until the end. This study also identified that understanding the Python programming concepts of input/output operations and lists serves as predictors for learning performance in programming concept and coding, respectively. This emphasizes the significance of fundamental programming concept and a nuanced understanding of advanced data types in programming learning. [ABSTRACT FROM AUTHOR] |
| Copyright of Educational Technology & Society is the property of International Forum of Educational Technology & Society (IFETS) 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: 186407757 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Improving students' learning performance and summarization ability through a Generative AI-enabled Chatbot. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Huang%2C+Anna+Y%2E+Q%2E%22">Huang, Anna Y. Q.</searchLink><relatesTo>1</relatesTo><i> anna.yuqing@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Chien-Chang+Lin%22">Chien-Chang Lin</searchLink><relatesTo>1</relatesTo><i> cclin3123@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Sheng-Yi+Su%22">Sheng-Yi Su</searchLink><relatesTo>1</relatesTo><i> zxca497@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Ruo-Xuan+Yen%22">Ruo-Xuan Yen</searchLink><relatesTo>1</relatesTo><i> apple310565@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Stephen+J%2E+H%2E%22">Yang, Stephen J. H.</searchLink><relatesTo>1</relatesTo><i> stephen.yang.ac@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Educational+Technology+%26+Society%22">Educational Technology & Society</searchLink>. Jul2025, Vol. 28 Issue 3, p82-111. 30p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Generative+artificial+intelligence%22">Generative artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Computational+linguistics%22">Computational linguistics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+mining%22">Data mining</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+computing%22">Scientific computing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Previous studies have demonstrated that summarization activities effectively enhance students' reading comprehension and learning performance. With the ongoing surge in the application of artificial intelligence in education, this study introduces a chatbot with generative artificial intelligence (GenAI) to assist students in reviewing Python programming concepts by refining the summary after class. Consequently, this study aims to assess the efficacy of the proposed a GenAI-enabled chatbot in enhancing the summarization ability and learning performance of novice programmers in college. Experimental results reveal that, the GenAIenabled chatbot not only significantly improves students' programming coding performance but also significantly improves their summarization ability. It is noteworthy that students' summarization proficiency is not only elevated from the outset but also consistently progresses until the end. This study also identified that understanding the Python programming concepts of input/output operations and lists serves as predictors for learning performance in programming concept and coding, respectively. This emphasizes the significance of fundamental programming concept and a nuanced understanding of advanced data types in programming learning. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Educational Technology & Society is the property of International Forum of Educational Technology & Society (IFETS) 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.30191/ETS.202507_28(3).SP07 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 30 StartPage: 82 Subjects: – SubjectFull: Generative artificial intelligence Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Computational linguistics Type: general – SubjectFull: Data mining Type: general – SubjectFull: Scientific computing Type: general Titles: – TitleFull: Improving students' learning performance and summarization ability through a Generative AI-enabled Chatbot. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Huang, Anna Y. Q. – PersonEntity: Name: NameFull: Chien-Chang Lin – PersonEntity: Name: NameFull: Sheng-Yi Su – PersonEntity: Name: NameFull: Ruo-Xuan Yen – PersonEntity: Name: NameFull: Yang, Stephen J. H. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 11763647 Numbering: – Type: volume Value: 28 – Type: issue Value: 3 Titles: – TitleFull: Educational Technology & Society Type: main |
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