Low-level cognitive skill transfer between two individuals' minds via computer game-based framework
Ahmet Orun

TL;DR
This paper presents a novel computer game-based framework for transferring low-level cognitive skills between individuals by capturing unconscious behaviors and modeling them with AI to facilitate early-stage skill transfer.
Contribution
It introduces a new method combining game environments and AI modeling to transfer procedural cognitive skills, which is a departure from traditional educational approaches.
Findings
Cognitive data from game sessions can be modeled using Bayesian networks.
The framework enables early-stage transfer of procedural skills.
Game-generated cognitive stimuli can be used to train learners.
Abstract
The novel technique introduced here aims to accomplish the first stage of transferring low-level cognitive skills between two individuals (e.g. from expert to learner) to ease the consecutive higher level declarative learning process for the target "learner" individual in a game environment. Such low-level cognitive skill is associated with the procedural knowledge and established at low-level of mind which can be unveiled and transferred by only a novel technique (rather than by a traditional educational environment ) like a highly interactive computer game domain in which a user exposes his/her unconscious mind behaviors via the game-hero non-deliberately during the game sessions. The cognitive data exposed by the game-hero would be recorded, and then be modelled by the artificial intelligence technique like Bayesian networks for an early stage of cognitive skill transfer and the…
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Taxonomy
TopicsIntelligent Tutoring Systems and Adaptive Learning · Educational Games and Gamification · Cognitive Abilities and Testing
