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Sainan Xu; Jing Lu; Jiwei Zhang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…
Descriptors: Educational Assessment, Bayesian Statistics, Statistical Inference, Item Response Theory
Lars Esdal – Education Evolving, 2024
To get the equitable, student-centered education system that is wanted and needed--one which honors each unique student, and prepares them for the changing 21st century world--we need to rethink not only the design of learning, but also the what and how of assessment. Assessments are used by people in many different roles and in many different…
Descriptors: Student Educational Objectives, Outcomes of Education, Student Centered Learning, Career Readiness