Background: Increasingly, students are using ChatGPT to assist them in learning and even completing their assessments, raising concerns of academic integrity and loss of critical thinking skills. Many articles suggested educators redesign assessments that are more 'Generative-AI-resistant' and to focus on assessing students on higher order…

Inconsistency in real-world judgments can cause random unfairness, injustice and misallocation of resources. In their recent monograph Kahneman, Sibony, and Sunstein (2021) analyse judgment inconsistency or "Noise," examine its sources and propose remedies. In this commentary on Kahneman et al., we reflect on the major concepts (such as…

A quantum probability model is introduced and used to explain human probability judgment errors including the conjunction and disjunction fallacies, averaging effects, unpacking effects, and order effects on inference. On the one hand, quantum theory is similar to other categorization and memory models of cognition in that it relies on vector…

The authors examined effects of 3 metacognitive approaches and 1 control group on mathematical reasoning, conceptual errors, and metacognitive knowledge. The metacognitive approaches were (a) diagnosing errors (DIA), (b) improvement via self-questioning (IMP), and (c) a combined approach (DIA+IMP). Controls (CONT) received no metacognitive…

The aim of the present study is to provide further evidence that the errors that arise from improper application of the linear model are not random and not easy to overcome. Using three different types of test, we attempt to show that the errors referred to in the literature as "pseudo-analogous" are the result of an epistemological…

This study examined irrelevant/incorrect answers produced by children with Asperger syndrome or high-functioning autism (7-9-year-olds and 10-12-year-olds) and normally developing children (7-9-year-olds). The errors produced were divided into three types: in Type 1, the child answered the original question incorrectly, in Type 2, the child gave a…

Complex working memory span tasks have been shown to predict performance on a number of measures of higher-order cognition including fluid abilities. However, exactly why performance on these tasks is related to higher-order cognition is still not known. The present study examined the patterns of errors made on two common complex span tasks. The…

Presents a human-computer interaction (HCI) conceptions model designed to help in the understanding of the cognitive processes involved when college students learn to program computers. Examines syntactic and algorithmic HCI operational errors and reviews conceptions based on natural language reasoning, independent computer reasoning, and…