Educational Content
Research on educational content is rapidly evolving, focusing on leveraging artificial intelligence, particularly large language models (LLMs), to generate and personalize learning materials. Current efforts center on creating AI systems capable of generating diverse question types, assessing student work, and even acting as collaborative learning partners, often employing techniques like prompt engineering and semantic matching to analyze and structure educational content. This work holds significant implications for improving teaching efficiency, enhancing learning experiences, and potentially bridging gaps in access to quality educational resources.
Papers
Water and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization
Eduardo Luiz Alba, Matheus Henrique Dal Molin Ribeiro, Gilson Adamczuk, Flavio Trojan, Erick Oliveira Rodrigues
Developing a Tutoring Dialog Dataset to Optimize LLMs for Educational Use
Menna Fateen, Tsunenori Mine