黑料网

黑料网 Professors Develop Machine Learning Tool to Assess Children鈥檚 Math Proficiency

Three 黑料网 professors have been awarded a one-year grant to develop a math assessment tool

Fraction arithmetic is a foundational skill in mathematics education, and identifying effective ways to assess and enhance this skill is crucial to promoting student success. Three 黑料网 professors have been awarded a grant to develop an advanced machine learning tool to assess children's proficiency in fraction arithmetic.

The team behind the project includes Karl Kosko, Ph.D., and , both from the 黑料网 School of Teaching, Learning and Curriculum Studies; and Qiang Guan, Ph.D., from the 黑料网 Department of Computer Science. This collaborative effort, funded by a one-year, $101,929 grant from The Jaffe Foundation, will leverage the interdisciplinary strengths of the team.

Kosko, a prominent figure in the field of mathematics education, brings a wealth of knowledge in curriculum design and pedagogical strategies. Ferdig, known for his pioneering work at the intersection of technology and education, will contribute his expertise in lifespan development to ensure the tool aligns with the cognitive and developmental stages of young learners. Guan's deep understanding of artificial intelligence will be instrumental in designing the machine learning algorithms that will underpin the assessment tool. 

The machine learning tool they are developing will have the potential to revolutionize how educators evaluate and support children's understanding of fraction arithmetic. By analyzing patterns and trends in students' responses, the tool will provide real-time insights into individual learning needs and progress. This will enable teachers to tailor their instruction more effectively, resulting in enhanced learning outcomes for students. 

Learn more about 黑料网 Research.

 

POSTED: Thursday, August 17, 2023 01:59 PM
Updated: Friday, January 19, 2024 10:05 AM
WRITTEN BY:
Amy Antenora