The purpose of this study was to examine the pre-service teachers' computational thinking (CT) skills and self-efficacy (SE) towards teaching CT, who attended a course in which educational games were developed in a block-based programming environment and lesson plans were prepared accordingly. The research was conducted with thirty seven…

Children with intellectual disabilities face obstacles in their numeracy skills development. Stick intelligence is a learning media that is aimed to help these children enhance their numeracy skills. Therefore, this study aims to identify: (1) the numeracy skills of students with intellectual disabilities before using the mathematical intelligence…

Computational thinking (CT) is considered a fundamental skill that everyone in the 21st century should have. Game-based learning (GBL) may be used to teach CT, and it's necessary to clarify how to design and implement game-based CT teaching. The literature was systematically searched for empirical studies published between 2011 and 2021.…

There is a growing number of products for learning the interdisciplinary application of science, technology, engineering, art, and mathematics (STEAM) in K-12. However, there is no general assessment tool for those STEAM creations, so as to help parents or instructors to experience and evaluate the STEAM products created or sold by companies or…

In this study, the role of science and computational thinking (CT) in teaching self-efficacy and design thinking variables were examined to explain the technological pedagogical content knowledge (TPACK) knowledge forms needed by science teachers for integrated Science, Technology, Engineering and Mathematics (STEM) within the framework of the…

As digital technology use increases in K-12 education, greater numbers of strategies become available to support students in mathematics. One technology that provides students diverse representations of mathematical concepts is virtual manipulatives. Although instruction featuring representations with physical manipulatives possesses a large body…

The purpose of this study was to develop a program that incorporates computational thinking into technology education classrooms and to investigate its effect on students. Software (SW) education and physical computing education are frequently addressed topics in technology education, but education about computational thinking (CT) lacks interest…

When the Learning Sciences emerged in 1991, there was an ethos of studying learning in humans and machines in conjunction with one another. This ethos reflected three decades of prior work on the interdisciplinary study of learning; however, in the three decades since the emergence of the Learning Sciences, it seems to have largely disappeared. I…

The three localization perspectives--punctual, local and global--initially proposed for functions, are used to study the objects of Analysis. We provide two examples of how they can support mathematical work: computing the tangent to a curve and computing the limit of a function.

American universities use a procedure based on a rolling six-year graduation rate to calculate statistics regarding their students' final educational outcomes (graduating or not graduating). As an alternative to the six-year graduation rate method, many studies have applied absorbing Markov chains for estimating graduation rates. In both cases, a…

In this article, we seek to understand how university students learn to use programming as an instrument for 'authentic' mathematical investigations. We use the instrumental approach as a framework, focusing on how the transformation of the programming language into an instrument requires that the user develops or mobilizes multiple schemes at…

Social scientists are often interested in estimating the marginal effects of a time-varying treatment on an end-of-study continuous outcome. With observational data, estimating these effects is complicated by the presence of time-varying confounders affected by prior treatments, which may lead to bias in conventional regression and matching…

Latent growth models (LGMs) are an application of structural equation modeling and frequently used in developmental and clinical research to analyze change over time in longitudinal outcomes. Maximum likelihood (ML), the most common approach for estimating LGMs, can fail to converge or may produce biased estimates in complex LGMs especially in…

In narrative synthesis of evidence, it can be the case that the only quantitative measures available concerning the efficacy of an intervention is the direction of the effect, that is, whether it is positive or negative. In such situations, the sign test has been proposed in the literature and in recent Cochrane guidelines as a way to test whether…

The use of computerized adaptive testing algorithms for ranking items (e.g., college preferences, career choices) involves two major challenges: unacceptably high computation times (selecting from a large item pool with many dimensions) and biased results (enhanced preferences or intensified examinee responses because of repeated statements across…