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Darabi, Aubteen; Arrastia-Lloyd, Meagan C.; Nelson, David W.; Liang, Xinya; Farrell, Jennifer – Advances in Health Sciences Education, 2015
In order to develop an expert-like mental model of complex systems, causal reasoning is essential. This study examines the differences between forward and backward instructional strategies in terms of efficiency, students' learning and progression of their mental models of the electronic transport chain in an undergraduate metabolism course…
Descriptors: Causal Models, Teaching Methods, Learning Processes, Undergraduate Students
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Vamvakoussi, Xenia; Christou, Konstantinos P.; Mertens, Lieve; Van Dooren, Wim – Learning and Instruction, 2011
It is widely documented that the density property of rational numbers is challenging for students. The framework theory approach to conceptual change places this observation in the more general frame of problems faced by learners in the transition from natural to rational numbers. As students enrich, but do not restructure, their natural number…
Descriptors: Foreign Countries, Mathematics Instruction, Comparative Education, Intervals
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Cheon, Jongpil; Grant, Michael M. – Educational Technology Research and Development, 2012
The purpose of this study was to examine the effects of a metaphorical interface on germane cognitive load in Web-based instruction. Based on cognitive load theory, germane cognitive load is a cognitive investment for schema construction and automation. A new instrument developed in a previous study was used to measure students' mental activities…
Descriptors: Instructional Development, Cues, Web Based Instruction, Computer Assisted Instruction
Rus, Vasile; Lintean, Mihai; Azevedo, Roger – International Working Group on Educational Data Mining, 2009
This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory processes during learning of complex science topics. In particular, we focus on detecting students' mental models based on student-generated paragraphs during prior knowledge…
Descriptors: Data Analysis, Prior Learning, Cognitive Structures, College Students
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McGuigan, Nicola; Whiten, Andrew; Flynn, Emma; Horner, Victoria – Cognitive Development, 2007
We investigated whether the tendency to imitate or emulate is influenced by the availability of causal information, and the amount of information available in a display. Three and 5-year-old children were shown by either a live or video model how to obtain a reward from either a clear or an opaque puzzle box. Some of the actions in the sequence…
Descriptors: Imitation, Prior Learning, Modeling (Psychology), Cognitive Structures
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Liu, Zhiliang; Chen, Guanying – English Language Teaching, 2009
To know the age effects in foreign language learning for children in China, we made both qualitative survey on the English teachers, the students and their parents by means of questionnaire; and quantitative survey on the students' scores from junior 1 to senior 2 (5 years) in the secondary school by analyses between those (over 30 students) who…
Descriptors: Foreign Countries, Second Language Learning, Age Differences, Cognitive Structures
Wagemans, L. M. M. J.; And Others – 1992
A study analyzed the prior knowledge state of two university populations: students at the Open University (OU) of the Netherlands and students at the University of Limburg (UL). Analysis of the prior knowledge state was based on an extensive analysis of the literature in relation to theories, models, and practice-based strategies about the…
Descriptors: Business Administration Education, Cognitive Structures, Comparative Analysis, Distance Education
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