One of the fundamental human cognitive processes is problem solving. As a higher-layer cognitive process, problem solving interacts with many other cognitive processes such as abstraction, searching, learning, decision making, inference, analysis, and synthesis on the basis of internal knowledge representation by the object–attribute-relation (OAR) model. Problem solving is a cognitive process ...

Rule-based cognitive models serve many roles in intelligent tutoring systems (ITS) development. They help understand student thinking and problem solving, help guide many aspects of the design of a tutor, and can function as the “smarts” of a system. Cognitive Tutors using rule-based cognitive models have been proven to be successful in improving student learning in a range of learning domain. ...

The current research investigates a combination of two instructional approaches, tutored problem solving and worked examples. Tutored problem solving with automated tutors has proven to be an effective instructional method. Worked-out examples have been shown to be an effective complement to untutored problem solving, but it is largely unknown whether they are an effective complement to tutored...

Recent studies have tested the addition of worked examples to tutored problem solving, a more effective instructional approach than the untutored problem solving used in prior worked example research. These studies involved Cognitive Tutors, software designed to support problem solving while minimizing extraneous cognitive load by providing prompts for problem sub-goals, step-based immediate fe...

background: physical activity regularly is one of the important aspects of healthy lifestyle, which has an essential role in reducing the burden of disease and death. diabetes is a typical general health problem. the aim of this study to determine the effect of education based on social cognitive theory on promoting physical activity among women with diabetes ii in iran. methods: in this random...

In this paper, an improved energy detector for wideband spectrum sensing is proposed. For a better detection of the spectrum holes the overall band is divided into equal non-overlapping sub-bands. The main objective is to determine the detection thresholds for each of these subbands jointly. By defining the problem as an optimization problem, we aim to find the maximum aggregated opportunistic ...

4CAPS is a cognitive architecture of interest to both cognitive science and AI. 4CAPS is of interest to cognitive science because it supports models of neuroimaging data collected using fMRI and PET. 4CAPS should be of interest to AI because it organizes human information processing in an optimal and mathematically tractable form. This paper focuses on the adaptivity of 4CAPS models in the face...