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Gil, Einat; Gibbs, Alison L. – Statistics Education Research Journal, 2017
In this study, we follow students' modeling and covariational reasoning in the context of learning about big data. A three-week unit was designed to allow 12th grade students in a mathematics course to explore big and mid-size data using concepts such as trend and scatter to describe the relationships between variables in multivariate settings.…
Descriptors: Foreign Countries, Secondary School Students, Grade 12, Statistics
Chamberland, Martine; Mamede, Sílvia; St-Onge, Christina; Setrakian, Jean; Schmidt, Henk G. – Advances in Health Sciences Education, 2015
Educational strategies that promote the development of clinical reasoning in students remain scarce. Generating self-explanations (SE) engages students in active learning and has shown to be an effective technique to improve clinical reasoning in clerks. Example-based learning has been shown to support the development of accurate knowledge…
Descriptors: Medical Education, Medical Students, Educational Strategies, Active Learning
Herlina, Elda; Batusangkar, Stain – Journal of Education and Practice, 2015
This journal article discusses Advanced Mathematical Thinking (AMT) and how to enhance it. AMT is ability in representing, abstracting, creative thinking, and mathematical proving. The importance of AMT ability development in accord with government expectation who realize about the importance of mathematical competency mastery for student's life.…
Descriptors: Mathematics Education, Mathematics Skills, Thinking Skills, Abstract Reasoning
Carruthers, Sarah; Stege, Ulrike – Journal of Problem Solving, 2013
This article is concerned with how computer science, and more exactly computational complexity theory, can inform cognitive science. In particular, we suggest factors to be taken into account when investigating how people deal with computational hardness. This discussion will address the two upper levels of Marr's Level Theory: the computational…
Descriptors: Problem Solving, Computation, Difficulty Level, Computer Science
Babalola, Olubi Oluyomi – ProQuest LLC, 2011
The study addresses the automated translation of architectural drawings from 2D Computer Aided Drafting (CAD) data into a Building Information Model (BIM), with emphasis on the nature, possible role, and limitations of a drafting language Knowledge Representation (KR) on the problem and process. The central idea is that CAD to BIM translation is a…
Descriptors: Architectural Education, Building Design, Architecture, Drafting
Garrett, Lauretta – Journal of Developmental Education, 2013
Adult developmental mathematics students often work under great pressure to complete the mathematics sequences designed to help them achieve success (Bryk & Treisman, 2010). Results of a teaching experiment demonstrate how the ability to reason can be impeded by flaws in students' mental representations of mathematics. The earnestness of the…
Descriptors: Adult Education, Adult Learning, Developmental Programs, Mathematics Education
Mioduser, David; Levy, Sharona T.; Talis, Vadim – International Journal of Technology and Design Education, 2009
This study explores young children's abstraction of the rules underlying a robot's emergent behavior. The study was conducted individually with six kindergarten children, along five sessions that included description and construction tasks, ordered by increasing difficulty. We developed and used a robotic control interface, structured as…
Descriptors: Young Children, Kindergarten, Robotics, Abstract Reasoning
Moss, Jarrod; Kotovsky, Kenneth; Cagan, Jonathan – Cognitive Science, 2006
As engineers gain experience and become experts in their domain, the structure and content of their knowledge changes. Two studies are presented that examine differences in knowledge representation among freshman and senior engineering students. The first study examines recall of mechanical devices and chunking of components, and the second…
Descriptors: College Freshmen, College Seniors, Equipment, Knowledge Representation