Dr. Donggil Song is transforming learning with an artificial intelligence system to help students improve their writing by visualizing their knowledge in real time. |
Image: Texas A&M Engineering
Texas A&M University and Prairie View A&M University (PVAMU) have joined forces to foster productive research and scholarly collaborations, with the aim of positioning both institutions to pursue multidisciplinary research and innovation projects that advance knowledge and make meaningful contributions to society.
As part of this collaborative effort, Dr. Donggil Song, an associate professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M, has been awarded funding through the fiscal year 2023 Texas A&M-PVAMU Grant Program as part of the Panther Research and Innovation for Scholarly Excellence (PRISE) Grant Program to support science, technology, engineering and mathematics (STEM) students.
Song's project, "Combining Knowledge Visualization and Intelligent Tutoring to Support Learning in STEM Education: The Development of KVIS (Knowledge Visualization Intelligent System)," aims to help STEM students improve their writing skills by visualizing their knowledge structure in real time while writing. The project includes an artificial intelligence (AI) agent embedded in the system, which will support students in finding resources and learning specific topics, making them self-regulating learners.
Song explains, "The project aims to create a system to support undergraduate STEM learners’ writing projects, such as essays and summaries. The system will visually represent the learner's current knowledge levels and structure, helping them understand their writing structure and knowledge gaps in real time. This visualization will enable students to write more effectively and efficiently by organizing their ideas and better understanding their current knowledge levels. Another goal is to help students become self-regulated learners supported by an AI agent embedded in the system, which will assist in finding resources and learning specific topics."
The project's $40,000 grant will be split equally between Texas A&M and PVAMU, with at least $10,000 of the budget allocated for graduate student support.
"This pilot project grant support is extremely valuable and significant to pursue further collaboration and expand STEM education research. The engineering technology and industrial design department and Dr. Langari have been tremendously supportive,” Song said.
By collaborating across institutions and disciplines, Texas A&M and PVAMU are working toward advancing STEM education and research and making a positive impact on society.
As part of this collaborative effort, Dr. Donggil Song, an associate professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M, has been awarded funding through the fiscal year 2023 Texas A&M-PVAMU Grant Program as part of the Panther Research and Innovation for Scholarly Excellence (PRISE) Grant Program to support science, technology, engineering and mathematics (STEM) students.
Song's project, "Combining Knowledge Visualization and Intelligent Tutoring to Support Learning in STEM Education: The Development of KVIS (Knowledge Visualization Intelligent System)," aims to help STEM students improve their writing skills by visualizing their knowledge structure in real time while writing. The project includes an artificial intelligence (AI) agent embedded in the system, which will support students in finding resources and learning specific topics, making them self-regulating learners.
Song explains, "The project aims to create a system to support undergraduate STEM learners’ writing projects, such as essays and summaries. The system will visually represent the learner's current knowledge levels and structure, helping them understand their writing structure and knowledge gaps in real time. This visualization will enable students to write more effectively and efficiently by organizing their ideas and better understanding their current knowledge levels. Another goal is to help students become self-regulated learners supported by an AI agent embedded in the system, which will assist in finding resources and learning specific topics."
The project's $40,000 grant will be split equally between Texas A&M and PVAMU, with at least $10,000 of the budget allocated for graduate student support.
"This pilot project grant support is extremely valuable and significant to pursue further collaboration and expand STEM education research. The engineering technology and industrial design department and Dr. Langari have been tremendously supportive,” Song said.
By collaborating across institutions and disciplines, Texas A&M and PVAMU are working toward advancing STEM education and research and making a positive impact on society.