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Session Type: Roundtable Session
Papers included in this roundtable focus on Innovative applications of statistical methods in both higher education and K12 settings. The collection of papers also address issues of student success, education equity and effectiveness, inclusive educational assessment, and personalized learning.
Analyzing Educational Success Post-COVID-19: Introducing the Ongoing Success Measure for Higher Education Data Analysis - Yelenna Rondon, North Shore Community College
Characteristics of and Causal Factors Related to Academically Resilient Students: A Study Based on PISA 2018 Data - Wenbei Li, Beijing Normal University
Fostering Student Development: An Empirical Evaluation of Data-Driven Feedback on Core Competencies - Yanyi Ren, SKT Education Group; Jiaqi Zhang, SKT Education Group
Instance-Based Learning in Content Scoring: Neural-Henry Engine in Practice - Xinhui Xiong, ExamRoom AI; Kenneth Steimel, Educational Testing Service
Toward Fair and Personalized Education Policy: Reducing Racial and State Disparities in Advanced Math Courses - Youmi Suk, Teachers College, Columbia University; Kwangho Kim, Korea University; Chan Park, University of Pennsylvania