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Nia Nurdiani; Nuryani Y. Rustaman; Wawan Setiawan; Didik Priyandoko – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2019
The study was aimed at determining the effectiveness of learning using Technological Pedagogical and Content Knowledge (TPACK) framework in helping the change of reasoning patterns and modes of Biology prospective teachers so that it facilitates in encompassing the Embryology as one of abstract concepts. The subjects used were 49 students of…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Biology, Science Instruction
Heyvaert, Mieke; Deleye, Maarten; Saenen, Lore; Van Dooren, Wim; Onghena, Patrick – International Journal of Research & Method in Education, 2018
When studying a complex research phenomenon, a mixed methods design allows to answer a broader set of research questions and to tap into different aspects of this phenomenon, compared to a monomethod design. This paper reports on how a sequential equal status design (QUAN ? QUAL) was used to examine students' reasoning processes when solving…
Descriptors: High School Students, Problem Solving, Probability, Mixed Methods Research
Chernoff, Egan J.; Mamolo, Ami – Canadian Journal of Science, Mathematics and Technology Education, 2015
The objective of this article is to contribute to research on teachers' probabilistic knowledge and reasoning. To meet this objective, prospective mathematics teachers were presented coin flip sequences and were asked to determine and explain which of the sequences was least likely to occur. This research suggests that certain individuals, when…
Descriptors: Probability, Mathematical Logic, Logical Thinking, Preservice Teachers
Clinton, Virginia; Morsanyi, Kinga; Alibali, Martha W.; Nathan, Mitchell J. – Grantee Submission, 2016
Learning from visual representations is enhanced when learners appropriately integrate corresponding visual and verbal information. This study examined the effects of two methods of promoting integration, color coding and labeling, on learning about probabilistic reasoning from a table and text. Undergraduate students (N = 98) were randomly…
Descriptors: Visual Discrimination, Color, Coding, Probability
Fernbach, Philip M.; Erb, Christopher D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
The authors propose and test a causal model theory of reasoning about conditional arguments with causal content. According to the theory, the acceptability of modus ponens (MP) and affirming the consequent (AC) reflect the conditional likelihood of causes and effects based on a probabilistic causal model of the scenario being judged. Acceptability…
Descriptors: Causal Models, Logical Thinking, Statistical Analysis, Validity
Remigio, Krisette B.; Yangco, Rosanelia T.; Espinosa, Allen A. – Malaysian Online Journal of Educational Sciences, 2014
The study examined the reasoning skills of first year high school students after learning general science concepts through analogies. Two intact heterogeneous sections were randomly assigned to Analogy-Enhanced Instruction (AEI) group and Non Analogy-Enhanced (NAEI) group. Various analogies were incorporated in the lessons of the AEI group for…
Descriptors: Logical Thinking, Thinking Skills, Science Instruction, High School Freshmen
Chernoff, Egan J.; Russell, Gale L. – Canadian Journal of Science, Mathematics and Technology Education, 2012
The purpose of this article is to address the lack of research on teachers' knowledge of probability. As has been the case in prior research, we asked prospective mathematics teachers to determine which of the presented sequences of coin flips was least likely to occur. However, instead of using the traditional perspectives of heuristic and…
Descriptors: Heuristics, Probability, Mathematics Instruction, Mathematics Teachers
Bowers, Jeffrey S.; Davis, Colin J. – Psychological Bulletin, 2012
According to Bayesian theories in psychology and neuroscience, minds and brains are (near) optimal in solving a wide range of tasks. We challenge this view and argue that more traditional, non-Bayesian approaches are more promising. We make 3 main arguments. First, we show that the empirical evidence for Bayesian theories in psychology is weak.…
Descriptors: Bayesian Statistics, Psychology, Brain, Theories
Morsanyi, Kinga; Handley, Simon J.; Evans, Jonathan S. B. T. – Journal of Autism and Developmental Disorders, 2010
The conjunction fallacy has been cited as a classic example of the automatic contextualisation of problems. In two experiments we compared the performance of autistic and typically developing adolescents on a set of conjunction fallacy tasks. Participants with autism were less susceptible to the conjunction fallacy. Experiment 2 also demonstrated…
Descriptors: Control Groups, Autism, Adolescents, Comparative Analysis
Babai, Reuven; Brecher, Tali; Stavy, Ruth; Tirosh, Dina – International Journal of Science and Mathematics Education, 2006
One theoretical framework which addresses students' conceptions and reasoning processes in mathematics and science education is the intuitive rules theory. According to this theory, students' reasoning is affected by intuitive rules when they solve a wide variety of conceptually non-related mathematical and scientific tasks that share some common…
Descriptors: Reaction Time, Probability, Mathematics Instruction, Thinking Skills
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

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