mlsanityData to 14 Oct 2026

Bridging LMS and generative AI: dynamic course content integration (DCCI) for enhancing student satisfaction and engagement via the ask ME assistant

arXiv 2504.03966 ↗First posted 4 Apr 2025cs.CY cs.AI cs.ETcited by 0

Not on the map. Why?

Abstract (arXiv)

Integration of Large Language Models (LLMs) with Learning Management Systems (LMSs) can enhance task automation and accessibility in education. However, hallucination where LLMs generate inaccurate or misleading information remains a challenge. This study introduces the Dynamic Course Content Integration (DCCI) mechanism, which dynamically retrieves course content from Canvas LMS and structures it within an LLM's context window via prompt engineering, enabling the LLM-powered assistant, Ask ME, to deliver context-aware, curriculum-aligned responses while mitigating hallucinations. A mixed-methods pilot study grounded in Self-Determination Theory (autonomy, competence) and the Technology Acceptance Model (perceived usefulness, ease of use) evaluated DCCI's effectiveness with 120 first-year programming students at E"otv"os Lor'and University. The course focused on foundational programming patterns in C#, including writing program specifications. We analyzed 14,746 logged interactions and a post-course survey completed by 101 students. User satisfaction was measured via a 5-point Likert scale (turn-level ratings), while the survey assessed usability, engagement, and ethical concerns. Results indicated high satisfaction (mean 4.65/5) and strong recognition of Ask ME's ability to provide timely, contextually relevant answers to administrative and course-related queries. 78.06% agreed that Ask ME's Canvas integration reduced platform switching, improving usability, engagement, comprehension, and topic exploration. Many students reported reduced hesitation to ask questions and increased motivation for self-directed learning, though concerns about over-reliance on AI and reduced student-teacher interaction emerged. This study demonstrates that DCCI enhances LLM reliability, student satisfaction, and engagement in AI-driven educational automation, while highlighting the importance of balancing

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 20 of its 95 references that are in the map. First posted on arXiv 4 Apr 2025.

Builds on

20 of 95 references.

References · 20

  1. 2017Attention Is All You Needcited by 60,361
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  3. 2020Language Models are Few-Shot Learnerscited by 32,419
  4. 2024Gemma 2: Improving Open Language Models at a Practical Sizecited by 1,998
  5. 2023A Comprehensive Overview of Large Language Modelscited by 648
  6. 2023Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Modelscited by 148
  7. 2023Hallucinations in Large Multilingual Translation Modelscited by 129
  8. 2024Personalization of Large Language Models: A Surveycited by 104
  9. 2022Parallel Context Windows for Large Language Modelscited by 81
  10. 2024Can AI grade your essays? A comparative analysis of large language models and teacher ratings in multidimensional essay scoringcited by 20
  11. 2023Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Educationcited by 17
  12. 2023Harnessing LLMs in Curricular Design: Using GPT-4 to Support Authoring of Learning Objectivescited by 16
8 more
  1. 2024Large Language Models and User Trust: Consequence of Self-Referential Learning Loop and the Deskilling of Healthcare Professionalscited by 13
  2. 2023Platform-Independent and Curriculum-Oriented Intelligent Assistant for Higher Educationcited by 12
  3. 2023Towards Applying Powerful Large AI Models in Classroom Teaching: Opportunities, Challenges and Prospectscited by 6
  4. 2024Automating Autograding: Large Language Models as Test Suite Generators for Introductory Programmingcited by 6
  5. 2024CourseAssist: Pedagogically Appropriate AI Tutor for Computer Science Educationcited by 5
  6. 2023Scaling Evidence-based Instructional Design Expertise through Large Language Modelscited by 3
  7. 2024Integrating A.I. in Higher Education: Protocol for a Pilot Study with 'SAMCares: An Adaptive Learning Hub'cited by 1
  8. 2024Revolutionizing Undergraduate Learning: CourseGPT and Its Generative AI Advancementscited by 1

Built on by

Not cited yet.