Implementing a generative AI chatbot using OpenAI API to improve learner interaction in asynchronous distance learning: A user-centered approach.
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| Title: | Implementing a generative AI chatbot using OpenAI API to improve learner interaction in asynchronous distance learning: A user-centered approach. |
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| Authors: | Hsu, Jih-Shih1 hsujs@yuntech.edu.tw, Tsai, Wen-Lung1,2 jasper.dtc@outlook.com |
| Source: | Educational Technology & Society. Apr2026, Vol. 29 Issue 2, p375-403. 29p. |
| Subject Terms: | *Asynchronous learning, *Interactive learning, *Individualized instruction, *Psychological feedback, Chatbots, User-centered system design, Application program interfaces |
| Abstract: | Asynchronous distance learning presents challenges for teachers in monitoring student progress and providing timely academic support due to the lack of real-time interaction. This study employs the OpenAI API to develop a generative artificial intelligence chatbot, integrating it into an asynchronous learning system to address these issues. Guided by User-Centered Design (UCD) principles, the design process of the system incorporates the empathy map, the persona, and the customer journey map to explore user experiences, identify pains, and propose value-driven solutions. The system comprises five modules: Course Unit Management, Online Test Management, Chatbot, Chat Sample Prompts, and Test Sample Prompts. These modules cooperatively offer students personalized learning support, real-time Q&A, and automated test feedback, allowing teachers to monitor student engagement. The usability test of the system was evaluated by teachers and students through using the System Usability Scale (SUS). The averaging results of the evaluation are above 95 for teachers and 85 for students, which indicating excellent system usability and effectiveness. The study found that the chatbot enhances learning recommendations, supports personalized learning, and reduces teacher workload, and Immediate feedback and concept clarification enhance student learning outcomes. This study contributes to the employment of human-centered AI in education, which demonstrating the potential of applying generative AI to enhance asynchronous learning environments. [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: 192828639 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Implementing a generative AI chatbot using OpenAI API to improve learner interaction in asynchronous distance learning: A user-centered approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hsu%2C+Jih-Shih%22">Hsu, Jih-Shih</searchLink><relatesTo>1</relatesTo><i> hsujs@yuntech.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Tsai%2C+Wen-Lung%22">Tsai, Wen-Lung</searchLink><relatesTo>1,2</relatesTo><i> jasper.dtc@outlook.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Educational+Technology+%26+Society%22">Educational Technology & Society</searchLink>. Apr2026, Vol. 29 Issue 2, p375-403. 29p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Asynchronous+learning%22">Asynchronous learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Interactive+learning%22">Interactive learning</searchLink><br />*<searchLink fieldCode="DE" term="%22Individualized+instruction%22">Individualized instruction</searchLink><br />*<searchLink fieldCode="DE" term="%22Psychological+feedback%22">Psychological feedback</searchLink><br /><searchLink fieldCode="DE" term="%22Chatbots%22">Chatbots</searchLink><br /><searchLink fieldCode="DE" term="%22User-centered+system+design%22">User-centered system design</searchLink><br /><searchLink fieldCode="DE" term="%22Application+program+interfaces%22">Application program interfaces</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Asynchronous distance learning presents challenges for teachers in monitoring student progress and providing timely academic support due to the lack of real-time interaction. This study employs the OpenAI API to develop a generative artificial intelligence chatbot, integrating it into an asynchronous learning system to address these issues. Guided by User-Centered Design (UCD) principles, the design process of the system incorporates the empathy map, the persona, and the customer journey map to explore user experiences, identify pains, and propose value-driven solutions. The system comprises five modules: Course Unit Management, Online Test Management, Chatbot, Chat Sample Prompts, and Test Sample Prompts. These modules cooperatively offer students personalized learning support, real-time Q&A, and automated test feedback, allowing teachers to monitor student engagement. The usability test of the system was evaluated by teachers and students through using the System Usability Scale (SUS). The averaging results of the evaluation are above 95 for teachers and 85 for students, which indicating excellent system usability and effectiveness. The study found that the chatbot enhances learning recommendations, supports personalized learning, and reduces teacher workload, and Immediate feedback and concept clarification enhance student learning outcomes. This study contributes to the employment of human-centered AI in education, which demonstrating the potential of applying generative AI to enhance asynchronous learning environments. [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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=192828639 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.30191/ETS.202604_29(2).SP09 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 29 StartPage: 375 Subjects: – SubjectFull: Asynchronous learning Type: general – SubjectFull: Interactive learning Type: general – SubjectFull: Individualized instruction Type: general – SubjectFull: Psychological feedback Type: general – SubjectFull: Chatbots Type: general – SubjectFull: User-centered system design Type: general – SubjectFull: Application program interfaces Type: general Titles: – TitleFull: Implementing a generative AI chatbot using OpenAI API to improve learner interaction in asynchronous distance learning: A user-centered approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hsu, Jih-Shih – PersonEntity: Name: NameFull: Tsai, Wen-Lung IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 11763647 Numbering: – Type: volume Value: 29 – Type: issue Value: 2 Titles: – TitleFull: Educational Technology & Society Type: main |
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