Mathematical modeling and applications are an important part of curriculum and considered to be important for students' current and future lives. In this contribution, we focus on mathematical modeling from a cognitive prospective. Following embedding the cognitive perspective within the discourse of mathematical modeling, we describe some of the…

Although working memory (WM) is usually defined as a cognitive system coordinating processing and storage in the short term, in most WM models, memory aspects have been developed more fully than processing systems, and many studies of WM tasks have tended to focus on memory performance. The present study investigated WM functioning without…

According to the multimedia principle, adding relevant pictures to text is beneficial for learning. This beneficial effect is particularly true for text depicted in pictures (illustrated text information) but not for a text that is not illustrated in pictures (non-illustrated text information). The multimedia principle was examined for…

We investigated whether finger pointing is an effective cognitive-load self-management strategy to mitigate the split-attention effect during learning. This effect holds that learning from split-attention examples consisting of spatially separated, but mutually referring text and picture, is less effective than learning from equivalent spatially…

This study aims to investigate how online collaboration can support the learning of science, technology, engineering, and mathematics (STEM) in higher education. Empirical data were collected from 88 postgraduate students studying at the African Centre of Excellence for Innovative Teaching Learning Mathematics and Science (ACEITLMS) using online…

How working memory supports dual-task performance is the focus of a long-standing debate. Most previous research on this topic has focused on participant performance data. In three experiments, we investigated whether changes in participant-reported strategies across single- and dual-task conditions might help resolve this debate by offering new…

Efficient neural encoding of sound plays a critical role in speech and language, and when impaired, may have reverberating effects on communication skills. This study investigated disruptions to neural processing of temporal and spectral properties of speech in individuals with ASD and their parents and found evidence of inefficient temporal…

Although cognitive load (CL) and self-regulated learning (SRL) have been widely recognized as two determinant factors of students' performance, the integration of these two factors is still in its infancy. To further specify why and how CL links with SRL, we first conducted an overview to describe the multiple dimensions of cognitive load (i.e.,…

Short metacognitive prompts--like "minute papers"--are simple enough to be widely adopted by instructors. But do they work? We investigate how they affect college students' performance in quantitative (Physics) and qualitative (Psychology) courses, comparing classes which received metacognitive prompts to those that did not. We find…

Arithmetic word problems are a staple in mathematical curricula yet give individuals of all ages difficulty. Successful word problem solving requires translating the problem into a symbolic arithmetic format. However, the linguistic component may make problem solving more complex and increase cognitive load, specifically the processes that…

In light of the known visuoperceptual strengths and altered language skills in autism, we investigated the impact of problem content (semantic/visuospatial) combined with complexity and presence of lures on fluid reasoning in 43 autistic and 41 typical children (6-13 years old). Increased complexity and presence of lures diminished performance,…

This study aims to evaluate cognitive conflict in constructing mathematical concepts, based on thinking errors. The data were collected through observations of words or sentences, leading to the derivation of qualitative outputs. Furthermore, the results showed that the two selected subjects experienced cognitive conflicts regarding thinking…

Eye tracking technology enables the visualisation of a problem solver's eye movement while working on a problem. The eye movement of experts has been used to draw attention to expert problem solving processes in a bid to teach procedural skills to learners. Such affordances appear as eye movement modelling examples (EMME) in the literature. This…

The purpose of this study is to examine the relationship between adolescents' use of cognitive distortions and their coping strategies for dealing with bullying. This research aims to contribute to the scientific understanding and resolution of bullying behaviors, which are frequently observed in schools and raise concerns among young people.…

Developed to maximize learning performance, learning analytics dashboards (LAD) are becoming increasingly commonplace in education. An LAD's effectiveness depends on how it is used and varies according to users' academic levels. In this study, two LADs and a learning support system were used in a higher education course to support students'…