MULTI-AGENT ADAPTIVE LEARNING FALL 2024 UPDATE.
We present an update to our multi-agent adaptive learning framework. The original prototype presented an adaptive learning framework using multiple large language model agents using OpenAI's GPT-4o model. Each agent is specialized to a specific aspect of adaptive learning. The agents communicate wit...
| Publicado en: | InSight: Rivier Academic Journal Vol. 20; no. 1; pp. 1 - 13 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | Artículo |
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Rivier College (InSight: Rivier Academic Journal)
Fall2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=192247939&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 192247939 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 19469233 B2BS jtl: InSight: Rivier Academic Journal issn: 19469233 maglogo: N pubinfo: dt: Fall2025 vid: 20 iid: 1 pid: 59866 pub: Rivier College (InSight: Rivier Academic Journal) artinfo: ui: 192247939 ppf: 1 ppct: 12 formats: tig: atl: MULTI-AGENT ADAPTIVE LEARNING FALL 2024 UPDATE. aug: au: Bandari, Sheetal Dondapati, Lakshmi Priya Gadiparthi, Ajay Kumar Gundarapu, Sumanth Jasti, Tarun Vedha Kuthadi, Arun Muddam, Vishal Mude, Sreetega Rayankula, Praveen Kumar Sanem, Shivani Glossner, John affil: Department of Mathematics and Computer Science, Rivier University su: Multiagent systems Instructional systems Generative pre-trained transformers Language models Instant messaging Cloud computing OpenAI Inc. Automatic speech recognition Second language acquisition sug: subj: Multiagent systems Instructional systems Generative pre-trained transformers Language models Instant messaging Cloud computing OpenAI Inc. Automatic speech recognition Second language acquisition keyword: Adaptive Learning Artificial Intelligence Large Language Models Multi-Agent Systems ab: We present an update to our multi-agent adaptive learning framework. The original prototype presented an adaptive learning framework using multiple large language model agents using OpenAI's GPT-4o model. Each agent is specialized to a specific aspect of adaptive learning. The agents communicate with each other using the autogen multi-agent framework. This paper extends our previous work by providing cloud-based account management, bookmarks, progress, and leaderboards. It also expands the subject area beyond mathematics and includes a Telugu language learning module. Other improvements include enhanced state machines, speech input, real-time chat capabilities, and encrypted progress storage. The code implementing the experiments is open-source and available on github1. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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