This study investigated the effectiveness of localized learning content (LLC) in enhancing computational thinking (CT) skills and learning motivation among 6th-grade elementary school students in Busan, South Korea. In contrast to conventional methodological approaches, our research focuses on the transformative power of culturally and…

This essay extends beyond the characteristics and discourse of word problems to, more generally, school mathematical problem-solving and the implications entailed by a predominant paper-and-pencil mode of learning and instruction since the modern era of education. Contrasting what I call "one-handed" (with paper-and-pencil) with…

There is a large disconnect between the increasing need for computer science education in K-12 schools and the preservice teacher training provided. Consequently, preservice teachers may graduate feeling unprepared to infuse computer science concepts such as computational thinking (CT) into their teaching. To address this, we created Robotics in…

Knowledge of building code is required for most building design licenses. However, designers often find the process confusing and overwhelming. The cognitive load theory suggests dividing information between visual and verbal formats reduces working memory burden, while concept mapping and mobile apps enhance learning. This study tests the…

The authors provide a comprehensive and practical guide to early childhood mathematics, blending research, practice, and inspiration into a resource that teachers can immediately use. Through anecdotes, illustrative videos with a comprehensive index, and detailed assessment protocols, they show how learning trajectories and formative assessment…

The combination of the quantitative turn in linguistics and the emergence of text analytics has created a demand for new methodological skills among linguists and data scientists. This paper introduces KNIME as a low-code programming platform for linguists interested in learning text analytic methods, while highlighting the considerations…

The purpose of this study was to compare calibration and linking methods for placing pretest item parameter estimates on the item pool scale in a 1-3 computerized multistage adaptive testing design in terms of item parameter recovery. Two models were used: embedded-section, in which pretest items were administered within a separate module, and…

Online calibration is a key technology for item calibration in computerized adaptive testing (CAT) and has been widely used in various forms of CAT, including unidimensional CAT, multidimensional CAT (MCAT), CAT with polytomously scored items, and cognitive diagnostic CAT. However, as multidimensional and polytomous assessment data become more…

With the objective of identifying intrinsic forms of mathematical production in complex analysis (CA), this study presents an analysis of the mathematical activity of five original works that contributed to the development of Cauchy's integral theorem. The analysis of the mathematical activity was carried out through the identification of the…

Computational thinking is seen as a basic and essential skill in the 21st century, but its development issue in accounting education is still relatively limited. Therefore, anchored in Wing's (2006) computational thinking theory, this study makes a case for developing problem-solving skills, which involve abstraction, decomposition,…

To improve the calibration accuracy and calibration efficiency of cognitive diagnostic computerized adaptive testing (CD-CAT) for new items and, ultimately, contribute to the widespread application of CD-CAT in practice, the current article proposed a Gini-based online calibration method that can simultaneously calibrate the Q-matrix and item…

This is a conceptual paper based on existing literature aiming to provide practical information on designing and implementing activities to promote children's computational thinking. Computational thinking is a relatively new term in early childhood education that refers to a specific problem-solving thinking process involving various logical and…

Nowadays, technology has become dominant in the daily lives of most people around the world. Technology is present from children to older people, helping in the most diverse daily tasks and allowing accessibility. However, many times these people are just end-users, without any incentive to develop computational thinking (CT). With advances in…

The pretrained large language models have been widely tested for their performance on some challenging tasks including arithmetic, commonsense, and symbolic reasoning. Recently how to combine LLMs with prompting techniques has attracted lots of researchers to propose their models to automatically solve math word problems. However, most research…

Electricity and magnetism are closely related phenomena with a well-known symmetry found in Maxwell equations. An essential part of any electricity and magnetism course includes the analysis of different field source distributions through Gauss's and Ampere's laws to compute and interpret different physical quantities, such as electric flux,…