Research has shown that hands-on projects promote stem education, namely via problem-solving. CanSat, literally 'satellite in a can', is a stem educational project promoted by the European Space Agency. This paper addresses this issue by researching this STEM project and trying to understand how secondary students solve problems in the STEM CanSat…

Electrophysiology studies have identified two event-related potentials that are modulated by predictive processes during language comprehension: the N400 and a frontal positivity. The N400 is smaller when words are presented within highly restrictive sentences, indicating reduced lexical retrieval costs. Violations of strong predictions generate…

During the past decade, cognitive diagnostic models (CDMs) have become prevalent in providing diagnostic information for learning. Cognitive diagnostic models have generally focused on single cross-sectional time points. However, longitudinal assessments have been commonly used in education to assess students' learning progress as well as…

To achieve adaptive learning, a dynamic assessment system equipped with a cognitive diagnosis was developed for this study, which adopts a three-stage model of diagnosis-intervention-assessment. To examine how this system influenced spatial geometry learning, the study used a quasi-experimental method to investigate student learning outcomes…

The log-linear cognitive diagnosis model (LCDM) is a modern technique that dichotomously classifies individuals (e.g., possession and non-possession) on attributes of a multidimensional construct, which is particularly suited to diagnostic and formative assessments where a classification decision is desired (e.g., to assign intervention or not).…

Selecting an appropriate cognitive diagnostic model (CDM) for data analysis is always challenging. Studies have explored several model fit indices for CDMs. The common results of these studies indicate that Q-matrix misspecifications lead to poor performance of the model fit indices in the context of CDMs. Thus, this study explored whether model…

Cognitive modelling shares many features with statistical modelling, making it seem trivial to borrow from the practices of robust Bayesian statistics to protect the practice of robust cognitive modelling. We take one aspect of statistical workflow--prior predictive checks--and explore how they might be applied to a cognitive modelling task. We…

Purpose: This study examined the relationship between pedagogic inference and the epistemological cognition of pre-school teachers. This paper provides and interests a relationship network with the pedagogy of field by delineating. In accordance with the model of this study, naïve and sophisticated epistemic cognition were determined and…

This article proposes a class of cognitive diagnosis models (CDMs) for polytomously scored items with different link functions. Many existing polytomous CDMs can be considered as special cases of the proposed class of polytomous CDMs. Simulation studies were carried out to investigate the feasibility of the proposed CDMs and the performance of…

The current study provides a methodological review of studies supporting a general factor of intelligence as the primary model for contemporary measures of cognitive abilities. A further evaluation is provided by an empirical evaluation that compares statistical estimates using different approaches in a large sample of children (ages 9-13 years, N…

Standard assessments of cognitive ability have been the preferred method of assessing the probability of student achievement at community colleges, but there is a growing trend in the use of noncognitive factors to assess student potential. Factors related to a student's race/ethnicity and family income have been shown to be correlated with…

Debates about lowering the voting age often center on whether 16- and 17-year-old adolescents possess sufficient cognitive capacity and political knowledge to participate in politics. Little empirical research has examined age differences in adolescents' and adults' complexity of reasoning about political issues. We surveyed adults (n = 778;…

This study aimed to develop the Computational Thinking Test for Elementary School Students (CTT-ES) to assess young children's CT competencies in non-programming contexts and also examine the relationship between CT competencies and CT dispositions. A survey including a pool of CTT-ES candidate items and the Computational Thinking Scale (CTS) was…

This study investigates the reading profiles of rural Grade 5 and 6 students (N = 262), a sample with a high proportion of English language learners. We administered a battery of reading and cognitive assessments to classify students' reading profiles and evaluate if performance on cognitive measures predicted membership in particular profiles.…

For 40 years there has been a call for improvement in assessing the academic potential of children and young people (CYP) with visual impairment. Anecdotal evidence regarding the use of psychometric assessments with CYP with visual impairment suggests that some professional practice has involved the use of assessments normed on a sighted…