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Direct linkPavlekovic, Margita; Zekic-Susac, Marijana; Djurdjevic, Ivana – Computers & Education, 2009
This paper compares the efficiency of two intelligent methods: expert systems and neural networks, in detecting children's mathematical gift at the fourth grade of elementary school. The input space for the expert system and the neural network model consisted of 60 variables describing five basic components of a child's mathematical gift…
Descriptors: Gifted, Psychological Evaluation, Artificial Intelligence, Grade 4
Chen, Eva; Heritage, Margaret; Lee, John – Journal of Education for Students Placed at Risk, 2005
This article presents initial findings from an evaluation research study of the implementation of a Web-based decision support tool, the Quality School Portfolio (QSP), developed at the National Center for Research on Evaluation, Standards, and Student Testing (CRESST) at the University of California, Los Angeles (UCLA). The study focused on…
Descriptors: Decision Support Systems, Identification, Computer Uses in Education, Teacher Collaboration
