Improving students’ learning performance and summarization ability through a Generative AI-enabled Chatbot
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 (G...
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| Format: | Article |
| Language: | English |
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International Forum of Educational Technology & Society
2025-07-01
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| Series: | Educational Technology & Society |
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| Online Access: | https://www.j-ets.net/collection/published-issues/28_3#h.6ne1z9hnec8b |
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| _version_ | 1849702752173686784 |
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| author | Anna Y. Q. Huang, Chien-Chang Lin, Sheng-Yi Su, Ruo-Xuan Yen and Stephen J. H. Yang |
| author_facet | Anna Y. Q. Huang, Chien-Chang Lin, Sheng-Yi Su, Ruo-Xuan Yen and Stephen J. H. Yang |
| author_sort | Anna Y. Q. Huang, Chien-Chang Lin, Sheng-Yi Su, Ruo-Xuan Yen and Stephen J. H. Yang |
| collection | DOAJ |
| description | 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 GenAI-enabled 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. |
| format | Article |
| id | doaj-art-ac2bcba9160f47e5a4f687208f224c87 |
| institution | DOAJ |
| issn | 1176-3647 1436-4522 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | International Forum of Educational Technology & Society |
| record_format | Article |
| series | Educational Technology & Society |
| spelling | doaj-art-ac2bcba9160f47e5a4f687208f224c872025-08-20T03:17:32ZengInternational Forum of Educational Technology & SocietyEducational Technology & Society1176-36471436-45222025-07-0128382111https://doi.org/10.30191/ETS.202507_28(3).SP07Improving students’ learning performance and summarization ability through a Generative AI-enabled ChatbotAnna Y. Q. Huang, Chien-Chang Lin, Sheng-Yi Su, Ruo-Xuan Yen and Stephen J. H. YangPrevious 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 GenAI-enabled 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. https://www.j-ets.net/collection/published-issues/28_3#h.6ne1z9hnec8bartificial intelligence in educationnatural language processingdata science applications in educationeducational data mining |
| spellingShingle | Anna Y. Q. Huang, Chien-Chang Lin, Sheng-Yi Su, Ruo-Xuan Yen and Stephen J. H. Yang Improving students’ learning performance and summarization ability through a Generative AI-enabled Chatbot Educational Technology & Society artificial intelligence in education natural language processing data science applications in education educational data mining |
| title | Improving students’ learning performance and summarization ability through a Generative AI-enabled Chatbot |
| title_full | Improving students’ learning performance and summarization ability through a Generative AI-enabled Chatbot |
| title_fullStr | Improving students’ learning performance and summarization ability through a Generative AI-enabled Chatbot |
| title_full_unstemmed | Improving students’ learning performance and summarization ability through a Generative AI-enabled Chatbot |
| title_short | Improving students’ learning performance and summarization ability through a Generative AI-enabled Chatbot |
| title_sort | improving students learning performance and summarization ability through a generative ai enabled chatbot |
| topic | artificial intelligence in education natural language processing data science applications in education educational data mining |
| url | https://www.j-ets.net/collection/published-issues/28_3#h.6ne1z9hnec8b |
| work_keys_str_mv | AT annayqhuangchienchanglinshengyisuruoxuanyenandstephenjhyang improvingstudentslearningperformanceandsummarizationabilitythroughagenerativeaienabledchatbot |