This study utilizes an analysis of diminishing returns to examine the relationship between sample size and item parameter estimation precision when utilizing the Masters' Partial Credit Model for polytomous items. Item data from the standardization of the Batelle Developmental Inventory, 3rd Edition were used. Each item was scored with a…

This study aims to conduct a literature review to explore the justification for including programming and coding in K-12 curricula. Additionally, it considers the value of teaching computational thinking and programming principles, pedagogical strategies, and the advantages and drawbacks of teaching programming to young students. Most studies…

Computational thinking (CT) skills are accepted as fundamental literacy. Although the idea that K-12 teachers should teach students CT skills in an interdisciplinary context is heavily expressed, there is a need for a measurement tool in Turkish that measures teachers' self-efficacy in this regard. This study aims to adapt the T-STEM CT scale,…

The aim of the study was to determine the effect of the programming instruction process carried out by using mBlock programming tool on the students' computational thinking skills. The study design was one group pretest-post-test experimental design. Study group was consisted of 82 students enrolled to a secondary school in Edremit district of Van…

Computational Thinking has been described as an essential skill which everyone should learn and can therefore include in their skill set. Seymour Papert (Papert, 1980) is credited as concretising Computational Thinking in 1980 but Jeanette Wing (Wing, 2006) popularised the term in 2006 and brought it to the international community's attention.…

The purpose of the study is to investigate the elementary education undergraduate students' understanding levels of one dimensional motion which they take in the compulsory general physics course in the second year, third term and instructors' predictions about the students' responses. The study is a descriptive study. The data of the study were…

Technology and smart devices have become ubiquitous staples in every aspect of human life. Given the rise of computation in everyday life, introducing technology to early childhood students requires exposure to logical thinking and problem-solving skills through programming approaches or computational thinking. This research addresses an inquiry…

The aim of this study is to examine the number sense skills of preservice elementary school mathematics teachers. This study was conducted by using the survey model among descriptive research methods. A total of 111 preservice teachers studying at second and third grades in the elementary school mathematics teaching program at a state university…

Contextualization is a method used for mathematics curriculum design within lesson plans and as a pedagogical practice in face-to-face classes. Many researchers are studying the effects of using contextualization in the teaching and the learning process for mathematics (Bottge & Cho, 2013; Perin, 2011; Young, Hodge, Edwards, & Leising,…

This paper is part of a wider action research project taking place at a secondary school in South Wales, UK. The overarching aim of the project is to examine the potential for aspects of literacy and computational thinking to be developed using extensible 'build your own block' programming activities. This paper examines classroom talk at an…

Getting students adopt the habits of mind specific to many disciplines can be seen as an anchor that will support them to solve the problems in their daily lives. Starting from this premise, a new subject, featuring the habits of mind and how to use and improve them in educational environments seems to worth thinking on. This article describes an…

Measurement in geometry is one of the key areas of school mathematics, however, pupils make serious mistakes when solving problems involving measurement and hold misconceptions. This article focuses on the possible links between lower secondary pupils' (n = 870) success in solving non-measurement tasks and calculations tasks on area and volume and…

Computational thinking is generally considered as a kind of analytical way of thinking. According to Wings (2008) it shares with mathematical thinking, engineering thinking and scientific thinking in the general ways in which we may use for solving a problem, designing and evaluating complex systems or understanding computability and intelligence…

Research indicates that understanding levels of abstraction (LOA) and being able to move between the levels is essential to programming success. For K-5 contexts we rename the LOA levels: problem, design, code and running the code. In our qualitative exploratory study, we interviewed five K-5 teachers on their uses of LOA, particularly the design…

This study examines the relationship between sample size and item parameter estimation precision when utilizing the one-parameter model. Item parameter estimates are examined relative to "true" values by evaluating the decline in root mean squared deviation (RMSD) and the number of outliers as sample size increases. This occurs across…