Prototyping the use of Large Language Models (LLMs) for adult learning content creation at scale
Not on the map. Why?
Abstract (arXiv)
As Large Language Models (LLMs) and other forms of Generative AI permeate various aspects of our lives, their application for learning and education has provided opportunities and challenges. This paper presents an investigation into the use of LLMs in asynchronous course creation, particularly within the context of adult learning, training and upskilling. We developed a course prototype leveraging an LLM, implementing a robust human-in-the-loop process to ensure the accuracy and clarity of the generated content. Our research questions focus on the feasibility of LLMs to produce high-quality adult learning content with reduced human involvement. Initial findings indicate that taking this approach can indeed facilitate faster content creation without compromising on accuracy or clarity, marking a promising advancement in the field of Generative AI for education. Despite some limitations, the study underscores the potential of LLMs to transform the landscape of learning and education, necessitating further research and nuanced discussions about their strategic and ethical use in learning design.
Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Jun 2023.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 1; 2024: 6; 2025: 3; 2026: 2.
12 papers.
- 2024Large Language Models for Education: A Survey and Outlookcited by 188
- 2025A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applicationscited by 42
- 2023A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Educationcited by 35
- 2024On the Impact of Fine-Tuning on Chain-of-Thought Reasoningcited by 32
- 2024LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Textcited by 12
- 2024Generating Educational Materials with Different Levels of Readability using LLMscited by 9
- 2024The Life Cycle of Large Language Models: A Review of Biases in Educationcited by 3
- 2025From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classescited by 1
- 2025An Invariant Latent Space Perspective on Language Model Inversioncited by 1
- 2024From Words to Workflows: Automating Business Processescited by 0
- 2026SGA: Plug&Play Geometric Verification for Educational Video Synthesiscited by 0
- 2026An Educator-Guided LLM Pedagogical Agent for Scaffolded Feedback in Conceptual Database Designcited by 0
- 2026An Educator-Guided LLM Pedagogical Agent for Scaffolded Feedback in Conceptual Database Design1 Oct 2026
- 2026SGA: Plug&Play Geometric Verification for Educational Video Synthesis20 Jul 2026
- 2025An Invariant Latent Space Perspective on Language Model Inversion24 Nov 2025
- 2025A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applications21 Mar 2025
- 2025From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes9 Mar 2025
- 2024From Words to Workflows: Automating Business Processes4 Dec 2024
- 2024On the Impact of Fine-Tuning on Chain-of-Thought Reasoning22 Nov 2024
- 2024Generating Educational Materials with Different Levels of Readability using LLMs18 Jun 2024
- 2024The Life Cycle of Large Language Models: A Review of Biases in Education3 Jun 2024
- 2024Large Language Models for Education: A Survey and Outlook26 Mar 2024
- 2024LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text6 Feb 2024
- 2023A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education5 Dec 2023