Data science education in Japan extends from elementary to high school students. However, some studies show that this has not enhanced interest or curiosity in data science. Therefore, gamification appears to be an efficient method for encouraging high school students' interest in data science, with research indicating that video games are…

There is widespread concern about declining literacy skills in recent young Japanese. The present study investigated how higher-level reading and writing proficiencies are underpinned by basic literacy skills in Japanese adolescents. From a large database of the most popular literacy exams in Japan, we retrospectively analyzed word- and text-level…

The purpose of this study is to describe the politeness approach of the Japanese-Balinese family realm language. The study explores how the use of language politeness strategies is affected by the cultural background of both spouses in intercultural marriages. The study also examines the various factors that influence language politeness…

In statistics classes, the central limit theorem has been demonstrated using simulation-based illustrations. Known population distributions such as a uniform or exponential distribution are often used to consider the behavior of the sample mean in simulated samples. Unlike such simulations, a number of real-data-based simulations are here…

This study elaborates on the pivotal roles of mathematical and statistical models in data-driven predictions in an integrated STEM context using the case of Year 4 students: (?) "a descriptive means" to describe the features of trends and variability of data and (?) "an explanatory means" to explain causal relationships behind…

In inclusive education, students with different needs learn in the same context. With the advancement of artificial intelligence (AI) technologies, it is expected that they will contribute further to an inclusive learning environment that meets the individual needs of diverse learners. However, in Japan, we did not find any studies exploring…

Relying on the background of big data, this paper introduces the blended teaching model into the secondary vocational Japanese oral classroom and explores whether the teaching model is conducive to the improvement of the secondary vocational Japanese oral learning effect and teaching effect. In order to make this research more scientific and…

This study focuses on the problem that the process of building learning habits has not been clearly described. Therefore, we aim to extract the stages of learning habits from log data. We propose a data model to extract stages of learning habits based on the transtheoretical model and apply the model to the learning logs of self-directed extensive…

This study investigated L2 learners' perception changes at each stage of online collaborative writing. Previous studies revealed the familiarity of L2 collaborative learning with Information and Communication Technology (ICT), whereas few described at which stage of the learning process L2 learners' perceptions change. Therefore, this study…

This study investigates typing skill acquisition in Japanese children with developmental dyslexia (DD) and other developmental disorders (ADHD, ASD). Given that phonological processing difficulties impair reading and writing, typing may serve as an alternative skill for written expression. Sixty-one students (ages 7-18) participated in five typing…

Internationally representative data of middle-aged adults 45 - 65 years old [n(United States) = 2,150; n(Japan) = 2,318; n(South Korea) = 2,800] from the 2012 Program for International Assessment of Adult Competencies were analyzed to examine the roles of education and literacy in relation to the digital divide. Results from survey-weighted binary…

The field of learning analytics has been limited by its frequent dependence on learning logs created by students while learning. Most of the research has dealt with the relationships between learning during a course and the achieved results. Although students' in-class behavior affects learning achievement, this remains a challenging aspect to…

Expectations of big data across various fields, including education, are increasing. However, uncovering valuable insights from big data is like locating a needle in a haystack, and it is difficult for teachers to use educational big data on their own. This study aimed to understand changes in student participation rates during classes and…

Juxtaposed with the emerging body of literature about datafication in schooling, this paper examines the increasing encroachment of data into the Japanese education system, in particular, the use of data associated with standardised academic assessments for governance purposes. In so doing, we use the Japanese 'case' to expose the possible limits…

The purpose of this study is to predict the mathematical literacy levels of the students participating in the research through the data obtained from PISA 2015 exam organized by OECD using data mining and to determine the variables that affect mathematics literacy. For this purpose, students' mathematics literacy levels and the variables that…