Location
https://www.kennesaw.edu/ccse/events/computing-showcase/sp24-cday-program.php
Document Type
Event
Start Date
25-4-2024 4:00 PM
Description
In the rapidly evolving fields of Artificial Intelligence and Natural Language Processing, significant opportunities have emerged to transform educational practices. Discourse analysis, particularly in science education, plays a critical role in fostering scientific thinking among students. However, the manual application of tools like the Classroom Discourse Analysis Tool is resource-intensive and impractical on a large scale. This abstract proposes the development of an AI-based Discourse Analysis System tailored for educational settings, designed to automate and enrich the analysis of classroom discourse. Leveraging the latest in Artificial Intelligence and Natural Language Processing, this web-based application will provide teachers nationwide with the ability to upload audio transcripts and receive comprehensive, objective feedback on classroom interactions. This system not only promises to streamline the analysis process but also to offer insights that were previously unattainable due to the manual nature of discourse analysis. By providing interactive tutorials, sophisticated feedback systems, and automated assessments, our solution aims to significantly enhance the efficiency and effectiveness of teaching and learning in science education. Ultimately, this initiative seeks to empower educators with advanced tools to cultivate a scientific mindset among students, thereby shaping the future of education.
Included in
GMR-72 AI-based Discourse Analysis System (ADAS) for Improved STEM Education
https://www.kennesaw.edu/ccse/events/computing-showcase/sp24-cday-program.php
In the rapidly evolving fields of Artificial Intelligence and Natural Language Processing, significant opportunities have emerged to transform educational practices. Discourse analysis, particularly in science education, plays a critical role in fostering scientific thinking among students. However, the manual application of tools like the Classroom Discourse Analysis Tool is resource-intensive and impractical on a large scale. This abstract proposes the development of an AI-based Discourse Analysis System tailored for educational settings, designed to automate and enrich the analysis of classroom discourse. Leveraging the latest in Artificial Intelligence and Natural Language Processing, this web-based application will provide teachers nationwide with the ability to upload audio transcripts and receive comprehensive, objective feedback on classroom interactions. This system not only promises to streamline the analysis process but also to offer insights that were previously unattainable due to the manual nature of discourse analysis. By providing interactive tutorials, sophisticated feedback systems, and automated assessments, our solution aims to significantly enhance the efficiency and effectiveness of teaching and learning in science education. Ultimately, this initiative seeks to empower educators with advanced tools to cultivate a scientific mindset among students, thereby shaping the future of education.