Contribution: The scheme for virtual emulation experiments based on discrete logic which appropriately lowers students' cognitive burden and possesses manipulatable interactive logic in tune with real experiments is put forward. The relationship between students' experiential learning and the influence of cognitive burden is also discussed.…

Logical thinking and reasoning of geometric space are among the key abilities of science and technology education. This research developed a framework of an alternate reality-based board game incorporating augmented reality (AR) exploration with multi-dimensional scaffolding, including "cognitive scaffolding," "metacognitive…

Children's cognitive control and knowledge at school entry predict growth rates in analogical reasoning skill over time; however, the mechanisms by which these factors interact and impact learning are unclear. We propose that inhibitory control is critical for developing both the relational representations necessary to reason and the ability to…

Probability theory has long been taken as the self-evident norm against which to evaluate inductive reasoning, and classical demonstrations of violations of this norm include the conjunction error and base-rate neglect. Many of these phenomena require multiplicative probability integration, whereas people seem more inclined to linear additive…

The ANDS (A Natural Deduction System) model, described in this article, is a psychological theory of propositional reasoning that makes explicit assumptions about memory and control in deduction. A computer simulation of the ANDS model yields proofs similar to those of untrained subjects. (Author/BW)

Electronic game technologies can prepare novice learners for future learning of complex concepts. This paper describes the underlying instructional design, learning science, cognitive science, and game theory. A structural, or syntactic mapping (structure mapping), approach to game design can produce a game world relationally isomorphic to a…

In this article, 41 models of covariation detection from 2 x 2 contingency tables were evaluated against past data in the literature and against data from new experiments. A new model was also included based on a limiting case of the normative phi-coefficient under an extreme rarity assumption, which has been shown to be an important factor in…

Although computer modelling is widely advocated as a way to offer students a deeper understanding of complex phenomena, the process of modelling is rather complex itself and needs scaffolding. In order to offer adequate support, a thorough understanding of the reasoning processes students employ and of difficulties they encounter during a…

With the exception of a few key writers, counselors largely ignore the benefits that Artificial Intelligence (AI) and Cognitive Psychology (CP) can bring to counseling. It is demonstrated that AI and CP can be integrated into the counseling literature. How AI and CP can offer new perspectives on information processing, cognition, and helping is…

Describes mechanisms of thought associated with making predictions. Concludes that successful predictors had high initial knowledge of the subject matter and were formally operational. Unsuccessful predictors had low initial knowledge and were concretely operational. Systematic manipulation, note taking, and higher-level thinking skills were…

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…