Abstract
The inequitable distribution of educational resources plays a major role in widening achievement gaps, placing students from lower socioeconomic status (SES) backgrounds at a disadvantage due to systemic barriers that restrict access to these resources. Recent advancements in the development of artificial intelligence (AI), namely ChatGPT by OpenAI, showcased its ability to generate text responses in natural language format based on input prompts. The accessibility and convenience of ChatGPT hold promise for offering personalized learning support. In pursuit of this goal, the authors built Ligare an AI-powered curriculum builder that integrates, optimizes, and presents generated responses with a user-friendly interface. The design process followed rigorous Human-Computer Interaction (HCI) protocols, including pre-development analysis, low- and high-fidelity prototyping, and subsequent evaluation. Although Ligare currently supports only math learning, the evaluation results demonstrate its potential for broader application, highlighting future directions for providing more accessible personalized education and addressing achievement gaps.
Published Version
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