방법 비교

	Formative Assessment	Cognitive Diagnostic Modeling
분야	Education	Education
계열	Process / pipeline	Latent structure
기원 연도	1998	2010
창시자	Scriven (term); Bloom; Black & Wiliam (modern synthesis)	Tatsuoka; DiBello, Roussos & Stout; Junker & Sijtsma; de la Torre
유형	Instructional process using evidence of learning to adapt teaching and feedback	Restricted latent class models for diagnosing mastery of discrete skills
원전	Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74.	Rupp, A. A., Templin, J., & Henson, R. A. (2010). Diagnostic Measurement: Theory, Methods, and Applications. Guilford Press. ISBN: 9781606235270
별칭	Assessment for Learning, Classroom Formative Assessment, Feedback-Based Assessment, Embedded Formative Assessment	CDM, Diagnostic Classification Models, DCM, DINA / G-DINA Models
관련	4	4
요약	Formative assessment, or assessment for learning, is the practice of gathering evidence of student understanding during instruction and using it immediately to adjust teaching and to give feedback that moves learning forward. Unlike summative assessment, which measures learning after the fact for grading or accountability, formative assessment is woven into the teaching cycle. Synthesized influentially by Black and Wiliam, it is defined not by the type of instrument but by whether the resulting evidence actually changes subsequent instruction and learning.	Cognitive diagnostic models (CDMs), also called diagnostic classification models, are restricted latent class models that report not a single ability score but a profile of which discrete skills or attributes a student has mastered. Each item is linked to the attributes it requires through a Q-matrix, and the model classifies every examinee into one of the possible binary mastery patterns. CDMs answer 'which specific skills does this student lack' rather than 'how much overall ability does this student have,' making them central to fine-grained diagnostic and formative assessment.