will you be attending AERA 2025?
our team is very happy and grateful to have the opportunity to share two projects during next year's annual meeting of the American Educational Research Association.
In the Special Interest Group on Environmental Education, we will share 'Approaching Environmental Education with Campus-wide Environmental Sensors in Schools: a Case Study from Singapore'. its abstract reads:
This study investigates the impact of integrating low-cost, open-source environmental sensors into geography education for academically lower-performing students in Singapore secondary schools. Using mixed methods from 2020-2024, we examine how technology-enhanced, hands-on learning affects students' critical thinking, inventive reasoning, and self-efficacy. Findings reveal significant improvements in learning approaches, engagement, and self-efficacy. Using everyday environments as learning canvases enabled students to connect their intuitive understandings of their school campus with geographical concepts and improve their data literacy. The paper discusses implications for curriculum design and educational policy, emphasizing strategies to promote equity through technology integration. Recommendations aim to enhance learning outcomes and address achievement gaps, contributing to broader goals of social justice in education.
In the section on Learning and Instruction: Engineering and Computer Science, we will share 'Enhancing Novice Programming Education with an AI-Augmented Learning Tool'; its abstract reads:
This study explores the development and implementation of an AI-augmented coding assistance tool designed for novice programmers. The tool’s impact on learning, problem-solving, and motivation in introductory programming courses was investigated using a mixed-methods approach. The study, grounded in Vygotsky's Zone of Proximal Development theory, cognitive load theory, and self-efficacy theory, was piloted with post-secondary and tertiary students from diverse educational contexts. Findings indicate that the AI tool effectively addressed common programming challenges, reduced cognitive load, and enhanced students' self-efficacy. The tool showed potential for promoting equity in computer science education. This research contributes to understanding how AI can enhance computer science education, particularly for beginners, and has implications for educational practice and policy.
we thank God for this opportunity.