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Chen, Binglin; West, Matthew; Ziles, Craig – International Educational Data Mining Society, 2018
This paper attempts to quantify the accuracy limit of "nextitem-correct" prediction by using numerical optimization to estimate the student's probability of getting each question correct given a complete sequence of item responses. This optimization is performed without an explicit parameterized model of student behavior, but with the…
Descriptors: Accuracy, Probability, Student Behavior, Test Items
Pask, Liza; Hughes, Tammy L.; Sutton, Lawrence R. – International Journal of School & Educational Psychology, 2016
"Healthy Relationships & Autism" is a developmentally sequenced, manualized intervention intended for children and adolescents with an autism spectrum disorder (ASD). The curriculum is designed to facilitate healthy interpersonal relationships; three modules cover personal hygiene, sexual knowledge, and a variety of productive…
Descriptors: Autism, Pervasive Developmental Disorders, Children, Adolescents
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Saari, Heikki – International Journal of Science Education, 2003
The purpose of this study was to construct and study the impact of a research-based sequence for teaching the concept of modelling to seventh-grade science students. We identified students' notions of models and the aspects of school science to be addressed regarding the model concept, which were then taken into account when we planned the…
Descriptors: Control Groups, Science Activities, Educational Research, Science Instruction
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