R and Python are commonly used software languages for data analytics. Using these languages as the course software for the introductory course gives students practical skills for applying statistical concepts to data analysis. However, the reliance upon the command line is perceived by the typical nontechnical introductory student as sufficiently…

With the change in socio-political and educational contexts in global academia, the trend of writing academic papers has arisen among Nepali students and educators in higher education. However, many of them are still unfamiliar with the basic standard to be incorporated in an academic paper. In this context, this study examined the post-graduate…

This pilot study explores the effectiveness of a strategy for overcoming post-primary students' misconceptions within the topic of algebra. Although central to the study of mathematics, algebra can be an area of difficulty for many students. A misconception is typically classified as flawed understanding of a concept causing repeated errors, and…

Numerous studies, examining the acquisition of non-referential it in [-pro-drop] English by learners of [+pro-drop] languages, have revealed that their participants omit non-referential subjects in English if their L1 allows null-subject position. However, due to the specificity of their focus, these studies have not considered other difficulties…

This study compares second-year Japanese university students' strategies to write kanji by hand with their strategies to produce the kanji characters on a computer, taking into account factors such as accuracy in writing, the amount of kanji used, the complexity of the kanji used, as well as how the characters used compare with the sequence…

This article analyzes the braille spelling errors of 16 Greek students who are blind. More specifically, it explores the types of spelling errors, the students' attitudes toward spelling, and the relationship between spelling and reading strategies.

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…