Developing generative AI functionalities in a social LMS
Abstract Artificial intelligence (AI) has experienced exponential growth in recent years, profoundly transforming various aspects of life, particularly in education. As a team of educational technology innovators, we have developed a series of generative AI features within our social learning manage...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Springer
2024-12-01
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| Series: | Discover Artificial Intelligence |
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| Online Access: | https://doi.org/10.1007/s44163-024-00168-7 |
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| _version_ | 1846136934498304000 |
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| author | Mengyuan Zhao Puja Kumari Eashwar Madhavan Perumal Zhen Hou |
| author_facet | Mengyuan Zhao Puja Kumari Eashwar Madhavan Perumal Zhen Hou |
| author_sort | Mengyuan Zhao |
| collection | DOAJ |
| description | Abstract Artificial intelligence (AI) has experienced exponential growth in recent years, profoundly transforming various aspects of life, particularly in education. As a team of educational technology innovators, we have developed a series of generative AI features within our social learning management system, CourseNetworking, to boost student engagement in online discussions and enhance instructor efficiency. This article introduces three key features: automated hashtagging, automated post reflection, and AI-driven quiz question generation. We examine the goals and technical implementation of each feature, present solutions to challenges encountered during development and deployment, and share the best practices we have accumulated. Additionally, we outline our plans for future advancements. This paper seeks to foster understanding and collaboration among developers, educators, institutional leaders, and researchers, with the aim of using AI technology to improve educational products and services, ultimately elevating learning experiences and outcomes. |
| format | Article |
| id | doaj-art-b8af208f09294eaa8cf08208bff55fa4 |
| institution | Kabale University |
| issn | 2731-0809 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Artificial Intelligence |
| spelling | doaj-art-b8af208f09294eaa8cf08208bff55fa42024-12-08T12:37:33ZengSpringerDiscover Artificial Intelligence2731-08092024-12-014111110.1007/s44163-024-00168-7Developing generative AI functionalities in a social LMSMengyuan Zhao0Puja Kumari1Eashwar Madhavan Perumal2Zhen Hou3Purdue UniversityIndiana University - Purdue UniversityIndiana University - Purdue UniversityIndiana University - Purdue UniversityAbstract Artificial intelligence (AI) has experienced exponential growth in recent years, profoundly transforming various aspects of life, particularly in education. As a team of educational technology innovators, we have developed a series of generative AI features within our social learning management system, CourseNetworking, to boost student engagement in online discussions and enhance instructor efficiency. This article introduces three key features: automated hashtagging, automated post reflection, and AI-driven quiz question generation. We examine the goals and technical implementation of each feature, present solutions to challenges encountered during development and deployment, and share the best practices we have accumulated. Additionally, we outline our plans for future advancements. This paper seeks to foster understanding and collaboration among developers, educators, institutional leaders, and researchers, with the aim of using AI technology to improve educational products and services, ultimately elevating learning experiences and outcomes.https://doi.org/10.1007/s44163-024-00168-7Generative artificial intelligencePrompt engineeringEducational technologyLearning management systemSocial learning |
| spellingShingle | Mengyuan Zhao Puja Kumari Eashwar Madhavan Perumal Zhen Hou Developing generative AI functionalities in a social LMS Discover Artificial Intelligence Generative artificial intelligence Prompt engineering Educational technology Learning management system Social learning |
| title | Developing generative AI functionalities in a social LMS |
| title_full | Developing generative AI functionalities in a social LMS |
| title_fullStr | Developing generative AI functionalities in a social LMS |
| title_full_unstemmed | Developing generative AI functionalities in a social LMS |
| title_short | Developing generative AI functionalities in a social LMS |
| title_sort | developing generative ai functionalities in a social lms |
| topic | Generative artificial intelligence Prompt engineering Educational technology Learning management system Social learning |
| url | https://doi.org/10.1007/s44163-024-00168-7 |
| work_keys_str_mv | AT mengyuanzhao developinggenerativeaifunctionalitiesinasociallms AT pujakumari developinggenerativeaifunctionalitiesinasociallms AT eashwarmadhavanperumal developinggenerativeaifunctionalitiesinasociallms AT zhenhou developinggenerativeaifunctionalitiesinasociallms |