This study aimed to predict the culturally responsive teacher roles based on cultural intelligence and self-efficacy using machine learning classification algorithms. The research group consists of 415 teachers from different branches. The Bayes classifier (NaiveBayes), logistic-regression (SMO), lazy-classifier (KStar), meta-classifier…

Test scores are often used to make decisions about examinees, such as in licensure and certification testing, as well as in many educational contexts. In some cases, these decisions are based upon compensatory scores, such as those from multiple sections or components of an exam. Classification accuracy and classification consistency are two…

Administrative data sets can play a key role in informing and influencing education provision. To date, longitudinal analysis of special educational needs (SEN) in Northern Ireland (NI) has not been a visible feature of policy discourse, even though the number of these pupils has increased at a rate that is proportionally higher than the general…

As in any professional field, aspiring video game artists, designers, and developers must acquire the necessary skills and knowledge for a successful career. Higher education institutions offer varying video game Bachelor's degree programs to meet the diverse needs of the industry. Our objective in this study was to explore these curricula to gain…

A study was conducted to implement the use of a standardized effect size and corresponding classification guidelines for polytomous data with the POLYSIBTEST procedure and compare those guidelines with prior recommendations. Two simulation studies were included. The first identifies new unstandardized test heuristics for classifying moderate and…

Methods based on machine learning have become increasingly popular in many areas as they allow models to be fitted in a highly-data driven fashion and often show comparable or even increased performance in comparison to classical methods. However, in the area of educational sciences, the application of machine learning is still quite uncommon.…

Capacities for abstract thinking and problem-solving are central to human cognition. Processes of abstraction allow the transfer of experiences and knowledge between contexts helping us make informed decisions in new or changing contexts. While we are often inclined to relate such reasoning capacities to individual minds and brains, they may in…

This research is part of the Artificial Intelligence Virtual Trainer (AI-VT) project which aims to create a system that can identify the user's skills from a text by means of machine learning. AI-VT is a case-based reasoning learning support system can generate customized exercise lists that are specially adapted to user needs. To attain this…

Is the ideal of a one-size-fits-all university model--where universities are capable of successfully performing all competencies simultaneously--ever achievable? Has the balance between teaching and research activities grown even more fragile or is such a balance unfeasible? In this paper, we review studies of institutional diversity in higher…

TPACK (Technological Pedagogical Content Knowledge) is an entirely new teaching model in the science of education field, founded about five years ago. There is still some room for improvement and discussion to develop this model. Some studies argue that the model is irrelevant to practical context due to its vague definitions. On the other hand,…

Defining "plagiarism" is not simple, and its complexity is too seldom appreciated. This article offers a comprehensive plagiarism assessment rubric from a four-year study of analyzing students' plagiarism. From qualitative analyses of 120 students' paraphrase samples, we identified seven plagiarism dimensions and employed a five-point…

Calls have been made to determine optimal learning progressions for geology students so that best practices for teaching content knowledge and skills during an undergraduate degree can be determined. To address these calls, there first needs to be understanding of what courses are required. This study was conducted to provide a systematic…

The central argument of this article is that abduction as a "mode of inference" is a key element in the nature of scientists' science and should consequently be introduced in school science. Abduction generally understood as generation and selection of hypotheses permits to articulate the classical scientific contexts of discovery and…

In the context of an afterschool program in which students explore relatively large authentic datasets, we investigated how 11- to 14-year old students worked with categorical variables. During the program, students learned to use the Common Online Data Analysis Platform (CODAP), a statistical analysis platform specifically designed for middle and…

Commonly used cut-points may misclassify physical activity (PA) in people with cystic fibrosis (CF). The aim of this study was to develop and cross-validate condition-specific cut-points in children and adolescents with CF. Thirty-five children and adolescents with CF (15 girls; 11.6 ± 2.8 years) and 28 controls (16 girls; 12.2 ± 2.7 years), had…