Location
https://ccse.kennesaw.edu/computing-showcase/cday-programs/fall23program.php
Document Type
Event
Start Date
30-11-2023 4:00 PM
Description
Our investigation delves into the application of Large Language Models (LLMs) and AI in crafting quiz-based learning tools for college students. We sifted through academic resources, utilizing keywords such as "AI," "GPT," "BERT," and "LLM," and pinpointed 24 pivotal papers out of over 80. Our findings highlight a preference for models like GPT-3, with newer technologies like BERT and RAG less represented, suggesting potential avenues for future inquiry. The research employed a structured methodology that encompassed an exhaustive literature review, trend analysis over time, and detailed textual scrutiny of AI technology mentions and innovative methods within the domain. This approach surfaced trends towards personalization in AI-powered educational tools, integrating advanced LLMs such as GPT-4 into practical applications, and crafting varied AI-facilitated question types to cater to diverse educational contexts.
Included in
eUR-525 AI-based Quiz Generation: The Role of LLMs in Digital Education
https://ccse.kennesaw.edu/computing-showcase/cday-programs/fall23program.php
Our investigation delves into the application of Large Language Models (LLMs) and AI in crafting quiz-based learning tools for college students. We sifted through academic resources, utilizing keywords such as "AI," "GPT," "BERT," and "LLM," and pinpointed 24 pivotal papers out of over 80. Our findings highlight a preference for models like GPT-3, with newer technologies like BERT and RAG less represented, suggesting potential avenues for future inquiry. The research employed a structured methodology that encompassed an exhaustive literature review, trend analysis over time, and detailed textual scrutiny of AI technology mentions and innovative methods within the domain. This approach surfaced trends towards personalization in AI-powered educational tools, integrating advanced LLMs such as GPT-4 into practical applications, and crafting varied AI-facilitated question types to cater to diverse educational contexts.