Predictive analytics is widely used in various domains, including education, to inform decision-making and improve outcomes. However, many predictive models are proprietary and inaccessible for evaluation or modification by researchers and practitioners, limiting their accountability and ethical design. Moreover, predictive models are often opaque…

Location tracking devices are becoming increasingly popular in practice to study movement of customers or track inventory. However, using location tracking devices in education contexts is quite novel. In this paper, we present a robust Bayesian nonparametric mixture model that clusters location data. We successfully apply this model on location…

Tests of statistical significance often play a decisive role in establishing the empirical warrant of evidence-based research in education. The results from pattern-based assessment items, as introduced in this paper, are categorical and multimodal and do not immediately support the use of measures of central tendency as typically related to…

We explore how crowdworkers can be trained to tackle complex crowdsourcing tasks. We are particularly interested in training novice workers to perform well on solving tasks in situations where the space of strategies is large and workers need to discover and try different strategies to be successful. In a first experiment, we perform a comparison…

Despite positive evidence demonstrating the pedagogical benefits of Text-To-Speech (TTS) synthesisers for second/foreign language learning (Liakin, Cardoso, & Liakina, 2017), there is a need for up-to-date formal evaluations, specifically regarding its potential to promote learning. This study evaluates the voice quality of a TTS system in…

This study examines learners' perceptions of the helpfulness of various multimedia components embedded in digital flashcards for explicit, informal foreign language vocabulary learning. Advanced learners of English (N = 59) studied 48 new words using digital flashcards on smartphones. After ten days, the learners completed perception surveys. The…

Many researchers recognize that factor analysis can be conducted on both correlation matrices and variance-covariance matrices. Although most researchers extract factors from non-distribution free or parametric methods, researchers can also extract factors from distribution free or non-parametric methods. The nature of the data dictates the method…

The aim of this study is to assess the effects that teaching visually impaired (VI) preschool children play skills has on their abilities to initialize and respond to social interactions with their typically developing (TD) peers in a reverse mainstreaming preschool class. The subjects of the study were three female VI students regularly attending…

Prior research has suggested that there may be differences in the ways that male and female students approach their online courses. Using data for 802 high school students enrolled in 14 online courses, this study explored gender differences in the interrelationships among online behaviors and course performance. The findings show that females…

Nonparametric, or kernel, estimation of item response curve (IRC) is a concern theoretically and operationally. Accuracy of this estimation, often used in item analysis in testing programs, is biased when the observed scores are used as the regressor because the observed scores are contaminated by measurement error. In this study, we investigate…

The main aim of this study is to investigate the effects of an English language education program that addresses the academic and cognitive needs of gifted children on their academic achievement and creative thinking levels. To this end, through an experimental research design, the unit "Health Problems" in English course book was…

Despite the understandings that constructivist and multimedia didactics, as well as curricular theory and multiple intelligences theory, have been providing for years, what happens in the classroom and in the teaching process is still mostly teacher-centred. The didactic and methodological scenarios that prevail in our classes are more suitable to…

This study was conducted in order to determine the computer self-efficacy perceptions of gifted students. The research group of this study is composed of gifted students (N = 36) who were studying at the Science and Arts Center in Gümüshane province in the spring semester of the 2012-2013 academic year. The "Computer Self-Efficacy Perception…

Two nonparametric statistical methods, the inverse normal scores method and the rank order transformation, are compared for use in discriminant function analysis. The methods are compared for both normal and non-normal distributions. When the distributions are normal, the rank and inverse normal scores methods are effective substitutes for the…

DETECT is a nonparametric, conditional covariance-based procedure to identify dimensional structure and the degree of multidimensionality of test data. The ability composite or conditional score used to estimate conditional covariance plays a significant role in the performance of DETECT. The number correct score of all items in the test (T) and…