The ability to properly evaluate one's own academic progress has long been considered a predictor of academic success. However, its distinctive role in the context of computational mathematics remains underexplored. Grounded in social cognitive theory, this study investigates the critical role of self-regulated learning (SRL) strategies in…

This article, situated in the field of didactics of religion, explores the comprehension of religious education (RE) by the editors of Elevkanalen, a subsidiary of TV2, Norway's most significant commercial public broadcaster. They are a unique media enterprise that provides educational resources for primary and lower secondary schools and is…

This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…

Background: Students make many errors in visual programming. In order to learn from these, it is important that students regulate their emotions and view errors as learning opportunities. Aims: This study aimed to explore to what extent momentary emotions, specifically enjoyment, anxiety and boredom, as well as the error learning orientation of…

Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measurement model of the latent variables, then compute factor scores, and finally use these factor scores as observed scores in vector autoregressive…

Programmed control systems are ubiquitous in the present-day world. In current educational practice, however, these systems are hardly being addressed, and little is known about children's spontaneous understandings about such systems. Therefore, we explored pupils' understandings prior to instruction in three concrete settings: a car park, an…

Teaching computational thinking skills to novice college students via programming poses considerable challenges. It involves learning programming language syntax and commands, along with fostering higher-order skills crucial for both computational thinking proficiency and future careers. To address this, we proposed a pedagogical approach…

This study had two objectives: (1) to evaluate the validity of an instrument for measuring differentiated cognitive loads in its Spanish version; and (2) to evaluate the three types of cognitive loads and their relationship with self-efficacy, self-concept, and interest in programming of students in an introductory course. Understanding and…

The emergence of generative AI tools like ChatGPT has sparked investigations into their applications in teaching and learning. In computer programming education, efforts are underway to explore how this tool can enhance instructional practices. Despite the growing literature, there is a lack of synthesis on its use in this field. This rapid review…

Drawing on a situated approach, the authors study the joint effects of lesson plans, digital artefacts (robots and tablets), spatial behaviours of students and teachers, on reconfiguration of space and interactions between students and teachers. Video observations, cluster analyses and structural equation modelling of indicators show that the…

Worldwide, the importance of computational thinking (CT) and its integration into the educational process at all levels of education has been highlighted as a fundamental skill for all. Nowadays, there is strong research interest in the integration of CT into curricula as early as kindergarten. As kindergarten teachers play a key role in this…

STEM education aims to develop 21st-century skills, support economic growth and promote gender equality in STEM fields. It is known that gender stereotypes play a significant role in the formation of STEM identity. The most important factor preventing some high school-level female students from pursuing STEM careers is their lack of participation…

Recent advancements in generative artificial intelligence (GenAI) have drawn significant attention from educators and researchers. However, its effects on learners' programming performance, self-efficacy and learning processes remain inconclusive, while the mechanisms underlying its efficiency-enhancing potential are underexplored. This study…

In recent years, the intersection of music and coding has emerged as a cross-disciplinary approach to engage learners in both musical and computational expression. This article examines the motivations and framing of recent music and coding research through an analysis of 65 articles published between 2004 and 2024. We survey the key findings of…

This research aims to develop a valid and reliable test to determine the coding skill levels of 5-7 years old children in early childhood. The study sample consists of children aged 5-7 who attend primary and pre-school education institutions affiliated to the Ministry of National Education in Agri and Gaziantep city center in the 2020-2021…