An Application of a Universal Adaptive Learning System (UALS) to Adult Reading Comprehension Strategy Instruction
Abstract
This work-in-progress presents (Universal Adaptive Learning System) UALS, an LLM-powered multi-agent system designed to support the authoring and refinement of adult reading-comprehension lessons. Through an instructor-centered, human-in-the-loop workflow, UALS assists educators in generating adult-relevant texts, comprehension questions, dialogue-based instructional lesson scripts aligned with selected reading comprehension pedagogical strategies. The current prototype supports lesson authoring, module assignment, lesson simulation and analytics, and instructional adjustment. Ongoing development focuses on improving curriculum alignment, educator control, and the pedagogical quality of AI-generated materials. Planned cognitive labs, retrospective interviews, and expert reviews with adult literacy educators will examine the system's usability, feasibility, and instructional value. This work aims to establish a scalable foundation for educator-guided, AI-assisted adult literacy instruction.
Publication Title
2026 2nd International Conference on Federated Learning and Intelligent Computing Systems Flics 2026
Recommended Citation
Zhang, L., Sabatini, J., & Hu, X. (2026). An Application of a Universal Adaptive Learning System (UALS) to Adult Reading Comprehension Strategy Instruction. 2026 2nd International Conference on Federated Learning and Intelligent Computing Systems Flics 2026, 142-145. https://doi.org/10.1109/FLICS70075.2026.11621952
