This article discusses the latest developments of the Sucre4Stem tool, as part of the Sucre initiative, which aims to promote interest in computational thinking and programming skills in K-12 students. The tool follows the Internet of Things approach and consists of two prominent components: 1) SucreCore and 2) SucreCode. SucreCore incorporates an…

Background: When second-career teachers (SCTs) learn to teach, they need to cope with the tension-evoking moments they encounter. Little is known about the coping strategies SCTs use to manage tensions. Aim: The purpose of this study was to investigate the coping strategies SCTs use during the first 1.5 years of teacher training. The SCTs' own…

Background: Problem-solving in early and middle childhood is of high relevance for cognitive developmental research and educational support. Previous research on science problem-solving has focussed on the process and strategies of children handling challenging tasks, but less on providing insights into the cognitive network that enables science…

Diverse samples are valuable to the study of development, and to psychology more broadly. But convenience samples--typically recruited from local populations close to universities--are still the most widely used in developmental science, despite the fact that their use leads to a vast over-representation of Western, White, and high socio-economic…

Group metacognition involves a collective understanding of cognitive processes and collaborative problem-solving mechanisms within a group. This study, conducted through a systematic review of 54 studies, aims to present the evolutionary trajectory of research on group metacognition in (predominantly) online and face-to-face learning environments.…

Algebraic thinking is the ability to generalize about numbers and calculations, find concepts from patterns and functions and form ideas using symbols. It is important to know the student's algebraic thinking process, by knowing the student's thinking process one can find out the location of student difficulties and the causes of these…

This paper advocates for the adoption of Nexus Analysis as a robust analytical framework in Problem-Based Learning (PBL) research. Developed by Scollon and Scollon, Nexus Analysis offers a unique lens for examining the intricate dynamics of PBL by seamlessly integrating micro-level interactions with macrolevel societal discourses. The approach…

Children with Autism Spectrum Disorder (ASD) often exhibit persistent deficits in social communication and interaction, along with restrictive and repetitive patterns of behavior. These characteristics can significantly hinder their ability to navigate social interactions and succeed in academic settings. This study explored the need for…

Educational research outcomes frequently rely on an assumption that measurement metrics have interval-level properties. While most investigators know enough to be suspicious of interval-level claims, and in some cases even question their findings given such doubts, there is a lack of understanding regarding the measurement conditions that create…

In November 2021, The National Audit Office published a report on financial sustainability of schools noting that schools had experienced considerable financial pressures in recent years. The NAO report found that while most schools were financially sustainable, local authority (LA) maintained schools were more likely to be experiencing cost…

The tradition of studies involving the combinatorial approach to recurring numerical sequences has accumulated a few decades of tradition, and several problems continue to attract the interest of mathematicians in several countries. This work specifically discusses the Fibonacci, Pell, and Jacobsthal sequences, focusing on Mersenne sequences. The…

Abstraction is essential to learning mathematics because the mathematical concepts obtained through abstraction will be more meaningful than directly receiving these concepts. This study aims to describe the pre-service teachers' abstraction in constructing relationships among quadrilaterals. This research method was explorative qualitative…

This study analyzes the consequences of item nonresponse to the question about a household's total net income in the European Social Survey (2008-2018). We recognize two mechanisms in avoiding answering the income question: task complexity and question sensitivity, and apply multilevel logistic regressions to predict the probability of refusals or…

Machine learning (ML) techniques have been successfully applied to a wide array of applications. This dissertation aims to take application data handling into account when developing ML-based solutions for real-world problems through a holistic framework. To demonstrate the generality of our framework, we consider two real-world applications: spam…

While methodologies are often presented as standardised procedures which, under specified conditions, should lead to the same conclusions, this case study presents the complex and deeply personal process of research (Addey and Piattoeva 2022). We analyse our application of network ethnography -- an approach presented by Ball (2016) -- to the study…