The emerging interest in self-directed learning (SDL) in the context of language learning has focused less on specific learning strategies selected by language learners based on their discoveries. Anchored on Boyatzis' Theory of Self directed Learning (2001) and Classifications of Language Learning Strategies by O'Mally and Chamot (1990), and…

Our study proposes the use of a free classification task for investigating the dimensions used by listeners in their perception of nonnative sounds and for predicting the perceptual discriminability of nonnative contrasts. In a free classification task, participants freely group auditory stimuli based on their perceived similarity. The results can…

The purpose of this study was to examine the relationship between role stress, school-related factors, and the general perceived self-efficacy of elementary school counselors. Specifically, this study was concerned with the predictability of role stress factors (role ambiguity and role conflict) and school-related factors (school classification…

The thriving developer community has a significant impact on the widespread use of R software. To better understand this community, we conducted a study analyzing all R packages available on CRAN. We identified the most popular topics of R packages by text mining the package descriptions. Additionally, using network centrality measures, we…

In two experiments, we examined the impact of color on cognitive performance by asking participants to categorize stimuli presented in three different colors: red, green, and gray (baseline). Participants were either asked to categorize the meaning of words as related to the concepts of "go" or "stop" (Experiment 1) or to…

Cognitive diagnosis models (CDMs) are latent class multidimensional statistical models that help classify people accurately by using a set of discrete latent variables, commonly referred to as attributes. These models require a Q-matrix that indicates the attributes involved in each item. A potential problem is that the Q-matrix construction…

Emotion development research centrally concerns capacities to produce emotions and to think about them. We distinguish these enterprises and consider a novel account of how they might be related. On one recent account, the capacity to have emotions of various kinds comes by way of the acquisition of emotion concepts. This account relies on a…

Machine learning algorithms are used in language processing, automated driving, and for prediction. Though the theory of machine learning has existed since the 1950s, it was not until the advent of advanced computing that their potential has begun to be realized. Gifted education is a field where machine learning has yet to be utilized, even…

The landscape of global higher education is changing rapidly in response to and alongside the geopolitical and geosocial global transformations, with China and East Asia becoming key players in higher education. As China's economic power and strategic reach grows against a context of global uncertainty, it has become increasingly important to…

The paper provides a systemic literature review and a typology of texts that discuss student resistance in the classroom in Higher Education. Analysing 134 empirical and conceptual studies published between 1988 and 2018 for how student resistance is conceptualised, this review identifies three approaches: functional-instrumentalist,…

In this ITEMS module, we provide a didactic overview of the specification, estimation, evaluation, and interpretation steps for diagnostic measurement/classification models (DCMs), which are a promising psychometric modeling approach. These models can provide detailed skill- or attribute-specific feedback to respondents along multiple latent…

In this ITEMS module, we introduce the generalized deterministic inputs, noisy "and" gate (G-DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G-DINA…

Classification accuracy is a key characteristic of screening tools. A goal in classification accuracy is to correctly identify issues that result in a later problem and situations in which the scores identify issues that do not result in a later problem.

We report the results of a convergent validity study examining the externalizing subscale (SRSS-E5, five items) of the adapted Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE 9) with the externalizing subscale of the Teacher Report Form (TRF) with two samples of K-12 students. Results of logistic regression and receiver…

This study aims to investigate the VOT values of English wordinitial plosive consonants produced by young Thai learners to understand current trends in English pronunciation among Thai speakers and its future direction. The study analyzes how phonological mismatches between Thai and English affect the pronunciation of Thai learners, using a speech…