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Baroody, Arthur J.; Purpura, David J.; Eiland, Michael D.; Reid, Erin E. – Grantee Submission, 2015
A 9-month training experiment was conducted to evaluate the efficacy of highly and minimally guided discovery interventions targeting the add-1 rule (the sum of a number and one is the next number on the mental number list) and doubles relations (e.g., an everyday example of the double 5 + 5 is five fingers on the left hand and five fingers on the…
Descriptors: Discovery Learning, Logical Thinking, Thinking Skills, Intervention
Sokolowski, Andrzej; Li, Yeping; Willson, Victor – International Journal of STEM Education, 2015
Background: The process of problem solving is difficult for students; thus, mathematics educators have made multiple attempts to seek ways of making this process more accessible to learners. The purpose of this study was to examine the effect size statistic of utilizing exploratory computerized environments (ECEs) to support the process of word…
Descriptors: Elementary School Mathematics, Elementary School Students, Secondary School Mathematics, Middle School Students
Baroody, Arthur J.; Eiland, Michael D.; Purpura, David J.; Reid, Erin E. – Cognition and Instruction, 2012
A 9-month training experiment evaluated whether computer-assisted discovery learning of arithmetic regularities can facilitate kindergartners' fluency with the easiest sums. After a pretest, kindergartners with at least one risk factor (n = 28) were randomly assigned to either a structured add-0/1 training condition, which focused on recognizing…
Descriptors: Mathematics Achievement, At Risk Students, Discovery Learning, Kindergarten
Baroody, Arthur J.; Eiland, Michael D.; Purpura, David J.; Reid, Erin E. – American Educational Research Journal, 2013
In a 9-month training experiment, 64 first graders with a risk factor were randomly assigned to computer-assisted structured discovery of the add-1 rule (e.g., the sum of 7 + 1 is the number after "seven" when we count), unstructured discovery learning of this regularity, or an active-control group. Planned contrasts revealed that the…
Descriptors: Prerequisites, Risk, Discovery Learning, Control Groups
Kong, S. C. – Computers & Education, 2008
Two cycles of design-based research of a cognitive tool (CT) for teaching fractions have been completed. Following the success of a quasi-experimental study of the enhanced CT derived from the second cycle of design-based research, this article reports the findings of a pre-test-post-test control group empirical study using the enhanced CT in the…
Descriptors: Control Groups, Computer Assisted Instruction, Discovery Learning, Teaching Methods
Veermans, Koen; van Joolingen, Wouter; de Jong, Ton – International Journal of Science Education, 2006
This article describes a study into the role of heuristic support in facilitating discovery learning through simulation-based learning. The study compares the use of two such learning environments in the physics domain of collisions. In one learning environment (implicit heuristics) heuristics are only used to provide the learner with guidance…
Descriptors: Pretests Posttests, Physics, Heuristics, Educational Environment
Glaser, Robert; And Others – 1991
This study seeks to establish which scientific reasoning skills are primarily domain-general and which appear to be domain-specific. The subjects, 12 university undergraduates, each participated in self-directed experimentation with three different content domains. The experimentation contexts were computer-based laboratories in d.c. circuits…
Descriptors: Computer Assisted Instruction, Discovery Learning, Heuristics, Higher Education
Hulshof, Casper D.; de Jong, Ton – Interactive Learning Environments, 2006
Students encounter many obstacles during scientific discovery learning with computer-based simulations. It is hypothesized that an effective type of support, that does not interfere with the scientific discovery learning process, should be delivered on a "just-in-time" base. This study explores the effect of facilitating access to…
Descriptors: Discovery Learning, Computer Simulation, Experiments, Optics
Peer reviewedVeenman, Marcel V. J.; Elshout, Jan J. – Instructional Science, 1994
Investigates a complex aptitude treatment interaction (ATI) of intelligence and metacognitive skill as aptitudes with structuredness of learning environment as treatment, based on a study of undergraduates in simulation environments. Highlights include computer-assisted learning and experiential learning; ATIs and discovery learning; and learning…
Descriptors: Analysis of Variance, Aptitude Treatment Interaction, Computer Assisted Instruction, Discovery Learning
Peer reviewedBeishuizen, J. J. – Journal of Computer Assisted Learning, 1992
Discussion of teaching complex knowledge domains through exploration highlights two experiments that investigated the educational value of a Dutch computer simulation program which models the relationship between erosion and agriculture in a developing country as part of the secondary school geography curriculum. Learning by doing versus learning…
Descriptors: Agriculture, Analysis of Variance, Comparative Analysis, Computer Assisted Instruction
Peer reviewedCanino, Casilda; Cicchelli, Terry – Journal of Educational Computing Research, 1988
Describes aptitude treatment interaction study that used the cognitive styles field dependence and independence matched with computerized algorithmic and discovery treatments to determine mathematics achievement on a criterion-referenced test. Posttest mathematics scores and student responses to the computer are analyzed, and mastery learning is…
Descriptors: Algorithms, Analysis of Covariance, Aptitude Treatment Interaction, Computer Assisted Instruction

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