Technology has enabled various alternative educational platforms, such as online courses. Compared to human instructors in traditional educational environments, alternative platforms often show a limited capacity to evaluate the learning progress of students and implement intervention strategies based on the evaluation. Here, we tested…

Humanity is living in a climate emergency where climate change should be significantly mitigated; additionally, greater efforts should be made to adapt to it. To date, relatively little research has been carried out on young people's skills in terms of them mitigating and, in particular, adapting to the changes caused by climate change. The…

Object representations from convolutional neural network (CNN) models of computer vision (LeCun, Bengio, & Hinton, 2015) were used to drive a cognitive model of decision making, the linear ballistic accumulator (LBA) model (Brown & Heathcote, 2008), to predict errors and response times (RTs) in a novel object recognition task in humans.…

This study examined the effect of mood on predictive sentence processing by older adults. A self-paced reading task was implemented among a group of younger adults and older adults to measure their performance in online sentence processing. Half of the sentences were highly predictable, whereas the other half were lowly predictable. Music was used…

This article is a response to commentaries on the article, "Microvariation in Multilingual Situations: The Importance of Property-by-Property Acquisition" (EJ1300541). This response is divided into sections focusing on the following issues: (1) full transfer and the notion of copying; (2) the definition of linguistic proximity; (3) some…

Stability is an important underlying assumption in any form of assessment-supported decision-making. Since early years development is frequently described as unstable, the concept plays a central role in the discussion surrounding early years assessment. This paper describes stability as a set of assumptions about the way individual scores change…

This prospective study was designed to investigate the relationship between self-efficacy, autonomous motivation and engagement within a higher education setup. A convenient sample of 512 students participated in the study through the completion of self-reported questionnaires. Data were analysed using descriptive statistics and PLS-SEM. Results…

We analyze the interaction between Marijuana and Alcohol as correlates of property crimes among Mexican adolescents. Data were drawn from two waves of a Mexican national survey of public high school students in Mexico. A complementary log-log multilevel regression was fitted separately for each survey year, controlling for neighborhood, school,…

The purpose of this study is to define learning analytics, to introduce concepts related to learning analytics and to introduce potential study topics related to learning analytics. Today's education model has changed with evolving social and economic conditions over time. This change in education has created such new situations as individualized…

The aim of the present study was to investigate a think aloud protocol as a novel way to measure indicators of self-control during acts of physical persistence. Using a within-person design, 35 participants (9 males, 26 females) completed two wall-sit persistence tasks, one employing a think aloud protocol, and the other silent. A two-way mixed…

Despite the centrality of research concerning both ethics and leadership styles in education administration, our knowledge of the relations between them is limited. The present study closes this gap by investigating the relations of transformational and transactional leadership with multiple ethical paradigms that have been suggested as relevant…

Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data. The study presented in this paper shows how we used Process Analysis methods on the National Assessment of Educational Progress (NAEP) test data for modeling and predicting student test-taking behavior. Our process-oriented data exploration…

Children's oral language proficiency (OLP) is integral for developing literacy skills. Storytelling or retelling is often used by parents and educators to elicit children's OLP, yet it is less commonly used for assessment purposes. Leveraged by natural language processing and machine learning, this study examined the extent to which computational…

The aims of the current study are twofold. First, we examine the relationship between specific modalities of career interventions and initial employment in IT. Specifically, we take a skills and social learning perspective to distinguish between direct and vicarious experiences of career interventions and relate these experiences to IT…

Statistical analysis of categorical data often relies on multiway contingency tables; yet, as the number of categories and/or variables increases, the number of table cells with few (or zero) observations also increases. Unfortunately, sparse contingency tables invalidate the use of standard good-ness-of-fit statistics. Limited-information fit…