Underpinning the teaching of coding with Computational Thinking has proved relevant for diverse learners, particularly given the increasing demand in upskilling for today's labour market. While literature on computing education is vast, it remains unexplored how existing CT conceptualisations relate to the learning opportunities needed for a…

Introduction: This paper merges two neglected components within the psychological sciences broadly and research methods courses specifically: Critical whiteness and qualitative methodologies. Statement of the Problem: In psychology programs, regardless of discipline, research courses remain one area where issues of race and racism, such as…

This study focuses on Grounded Theory, which is one of the qualitative research designs. Glaser and Strauss developed the Grounded Theory; it has been revised by other scientists, resulting in three distinct Grounded Theory approaches: the systematic design (Corbin and Strauss approach), the classical design (Glaser approach), and the…

The growing significance of coding in 21st-century early childhood education extends beyond technical proficiency, encompassing cognitive development, problem-solving, and creativity. Coding is being integrated globally into educational curricula to prepare students for the digital era. This research examines coding's potential impact on cognitive…

Computational thinking (CT) has emerged as a foundational skill for young learners, preparing them to navigate and contribute to an increasingly digital world. This bibliometric analysis utilizes 374 articles from the Web of Science database to explore the research landscape surrounding CT in children's learning, focusing on its applications in…

Much is known about the impact of vocabulary instruction on reading skills, word knowledge, and reading comprehension. However, knowledge of the underlying theories that guide vocabulary instruction and their potential impact on teachers' performance and/or students' achievement has not been investigated. In this content analysis, articles…

Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…

A challenging step in any qualitative research project is data coding and analysis. If the data coding is done appropriately, it will lead the researchers to develop patterns or themes and to make final inferences about the research problem. As such, qualitative researchers are supposed to take systematically informed steps and procedures to…

Computational thinking (CT) has started to attract attention as an important research topic in recent years. It is important to describe the CT field in detail and to determine the research interests and trends of studies in this field. In this most comprehensive and first topic modeling based study in the field of CT, it was aimed to determine…

This paper presents a Systematic Literature Review (SLR) of fifty-seven studies on Distributed Pair Programming (DPP) in higher education, identifying which studies investigated factors on the effectiveness of DPP as a method for learning programming, factors related to mediating and stimulating interactions between students, the…

Statistical tests carry with them a number of assumptions that must be checked. Failing to do so and to report the results of such preliminary analyses introduce a potential threat to the internal validity of a study and to our ability as consumers to put faith in study findings. This article systematically examines the reporting of checks on…

In this paper, we provide an overview of the current efforts in maker education, supported by a review of empirical studies. Our synthesis will inform the community about learning outcomes, potential and common issues, challenges, resources, and future research direction regarding maker education.

Language sample analysis (LSA) has been called the "gold standard" for clinical language assessment with children learning more than one language. The research literature discussing this clinical tool with bilingual children has grown substantially in recent years. This article reviews and synthesizes the literature on LSA in order to…

Three Dimensional Multi-User Virtual Environments (MUVEs) are promising tools in education because of the unique affordances they offer. These learning affordances imply certain actions that in turn can lead to corresponding learning activities. There seems to be a lack of reports on which of the affordances of MUVEs for learning and teaching are…

Mobile devices are considered as the most widely used information and communication technologies. They have provided great advantages in language learning. This study reports a meta-analysis of the effectiveness of using mobile devices on vocabulary learning. A meta-analysis was conducted on research that compared the outcomes from students…