Core Contribution
Ostrowska, Kukla & Majstrak (2026) present an AI tutoring system integrated into the Moodle LMS designed to scaffold students from surface-level fact recall to deep conceptual understanding through adaptive questioning and feedback.
How It Works
The system operates within Moodle's existing infrastructure, using LLM-based tutoring to:
- Detect the depth of student understanding from their responses
- Adaptively scaffold toward deeper comprehension via scaffolding techniques
- Move students through formative-assessment cycles that promote conceptual mastery
This grounded approach — embedding AI tutoring in an existing LMS rather than building standalone tools — addresses deployment barriers identified in the ai-tutor-effectiveness-review. Many intelligent tutoring systems fail to achieve real-world impact because they require new infrastructure; Moodle integration lowers the adoption threshold.
Connections to the Wiki
The system's focus on deep vs. surface learning connects to metacognition research — students must recognize when they have only surface understanding. The adaptive approach aligns with adaptive-learning-systems but emphasizes qualitative shifts in understanding rather than quantitative difficulty adjustment. The Moodle deployment strategy echoes lessons from ai-peer-feedback-systems (AICoFe) about integrating AI tools into existing educational workflows.
Unlike tutoring-specific-vs-general-ai debates about specialized tutors, this system shows how general LLMs can be scaffolded into tutoring roles within familiar platforms. The focus on deep understanding complements pedagogy-ai-mistakes work on using AI errors for higher-order thinking.
Open Questions
- How does in-LMS tutoring compare to standalone systems in learning outcomes?
- Can the deep learning scaffolding generalize across disciplines beyond the tested contexts?
- What is the instructor's role when AI handles adaptive questioning within Moodle?
Related Pages
- codify-socratic-tutoring-programming — Web-based ITS platform with integrated adaptive assessment and analytics
- taklif-ai-interest-based-personalized-assignments — AI integration in LMS assignment workflows