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Tae Yeon Kwon; A. Corinne Huggins-Manley; Jonathan Templin; Mingying Zheng – Journal of Educational Measurement, 2024
In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…
Descriptors: Classification, Accuracy, Student Evaluation, Sequential Approach
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Tae Yeon Kwon; A. Corinne Huggins-Manley; Jonathan Templin; Mingying Zheng – Grantee Submission, 2023
In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…
Descriptors: Classification, Accuracy, Student Evaluation, Sequential Approach
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Winter, Neal – International Journal of Music Education, 2004
In order to evaluate the effects of an integrated curriculum on the learning of popular music, the Sting Curriculum was designed for senior secondary students of mixed ability. This nine-week program was presented to a sample of students aged between 16 and 18 years in urban Sydney (Australia). This article draws on some of the results from this…
Descriptors: Integrated Curriculum, Music Education, Music, Sequential Approach
Kellogg, Ann – 1995
This manual provides a sequential procedure for conducting functional vocational evaluations for secondary school students as required by the Individuals with Disabilities Education Act. This evaluation procedure considers the interactions of the student with instructors, peers, and employers; training needs; work demands; environmental factors;…
Descriptors: Agency Cooperation, Career Counseling, Career Exploration, Compliance (Legal)
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection