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 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.

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Institutions

Publication Details

Journal
Discover Artificial Intelligence
Published
2024-12-03
DOI
https://doi.org/10.1007/s44163-024-00168-7
Citations
3
Primary Topic
Speech and dialogue systems
Type
article
Field-Weighted Citation Impact
1.04
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article

Developing generative AI functionalities in a social LMS

Zhen Hou, Mengyuan Zhao, Eswaran Perumal, Puja Kumari
3 citations
Discover Artificial Intelligence
Speech and dialogue systems
1.04
article

Developing generative AI functionalities in a social LMS

Zhen Hou, Mengyuan Zhao, Eswaran Perumal, Puja Kumari
article en
3 citations

Abstract

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.

Discover Artificial IntelligenceVol. 4(1)
Purdue University West Lafayette (US), Indiana University – Purdue University Indianapolis (US)
Openalex Percentile: Top 18%
Speech and dialogue systems
1.04
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Developing generative AI functionalities in a social LMS — Zhen Hou, Mengyuan Zhao, et al. · Discover Artificial Intelligence (2024) | TGRS Research Map | TGRS