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Waismeyer, Anna; Meltzoff, Andrew N.; Gopnik, Alison – Developmental Science, 2015
How do young children learn about causal structure in an uncertain and variable world? We tested whether they can use observed probabilistic information to solve causal learning problems. In two experiments, 24-month-olds observed an adult produce a probabilistic pattern of causal evidence. The toddlers then were given an opportunity to design…
Descriptors: Toddlers, Young Children, Probability, Causal Models
Li, Shao-Ying; Leon, Shian – Online Submission, 2013
The authors designed instruments from theories and literatures. Data were collected throughout remedial teaching processes and interviewed with vocational school students. By SOLO (structure of the observed learning outcome) taxonomy, the authors made the UMR (unistructural-multistructural-relational sequence) conception cycle of the formative and…
Descriptors: Student Attitudes, Vocational Schools, Problem Solving, Causal Models
Walker, Jessica M. – ProQuest LLC, 2011
Traditional mathematics education focuses on teaching rote procedures to solve problems, though these procedures are not usually motivated by goals. As a result, students have trouble flexibly using procedures and generalizing their knowledge to solve novel problems that differ from the problems they practice during instruction. In the following…
Descriptors: Mathematics Instruction, Mathematical Concepts, Intervention, Teaching Methods
Abdellatif, Hanaa R.; Cummings, Rhoda; Maddux, Cleborne D. – Education, 2008
The ability to use analogical reasoning traditionally has been considered a higher-level ability characteristic of thinking of older children and adults. Such reasoning has not been thought to be accessible to younger children. However, recently, it has been suggested that younger children's ability to understand and solve analogical problems…
Descriptors: Language Usage, Familiarity, Young Children, Logical Thinking
Reis, Janet; Trockel, Mickey; Mulhall, Peter – Youth & Society, 2007
Hierarchical linear modeling is used to assess individual student, family, and school predictors of aggression in 111,662 students in sixth, seventh, and eighth grades. Nine measures of problem-solving strategies, quality of family and peer interaction, and perceptions of school climate are analyzed at the individual student level. Eight measures…
Descriptors: Aggression, Educational Environment, Middle Schools, Early Adolescents
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers