In secure web application development, the role of web services will not continue if it is not trustworthy. Retaining customers with applications is one of the major challenges if the services are not reliable and trustworthy. This article proposes a trust evaluation and decision model where the authors have defined indirect attribute, trust,…

A transcript analysis by Freng, Webber, Blatter, Wing, and Scott found that methodology course performance and enrollment timing predicted grade point average in advanced psychology courses. The present study attempted to replicate and extend Freng et al. by using a larger sample and controlling for additional variables (methodology course…

Researchers have identified the emergence of a global field of academic science. In order to understand the dynamics of this field, this study used latent profile and regression techniques to analyze data gathered for a sample of 114 research universities from around the world. Sociological theory informed the framing and conceptualization of the…

This article proposes a formal model of the human language faculty that accommodates the possibility of 'attrition' (modification or loss) of morphosyntactic properties in a first language. Modeling L1 grammatical attrition entails a quite fundamental paradox: if the structure of the language faculty in principle allows for attrition of…

In recent years we have developed a data analytics pipeline using artificial neural networks to predict prospective student matriculation for university admissions using very limited demographic data. Predictions are generated at the earliest stages of the admissions process and successfully inform recruiting and admissions staff about the…

This article addresses the gap between what works in research and what works in practice. Currently, research in evidence-based education policy and practice focuses on randomized controlled trials. These can support causal ascriptions ("It worked") but provide little basis for local effectiveness predictions ("It will work…

This article analyses the relationship between impostor phenomenon and motivation in academic women. These highly successful academics often express feelings of self-doubt, lack of belongingness, and incompetence, ideas echoed within motivation literature. This project establishes IP prevalence within 1,326 self-identified academic women and…

A growing body of evidence shows that social-emotional skills predict the long-term outcomes of students, even after controlling for differences in academic achievement. Despite the evidence that social-emotional learning (SEL) contributes to student success, few studies have investigated the extent to which educators promote SEL among their…

Bystanders play a crucial role in aggressive behavior in group contexts. Cyberbystanders can react in proactive ways such as assisting a cyberbully or defending the victim. Since school relationships spill over to the online world, the school context is likely to influence students' online behavior. In the present study, we examine the influence…

The present study examines the relative order of noun-adjective sequences within code-switched Determiner Phrases. Several hypotheses have been considered: is this a property defined by the determiner (Bartlett, 2013), the noun (Arnaus et al., 2012) or the adjective (Cantone & MacSwan, 2009)? Or on the contrary, if a carrier phrase is present,…

Quantifying the decoding difficulty (i.e., 'decodability') of text is important for accurately matching young readers to appropriate text and scaffolding reading development. Since no easily accessible, quantitative, word-level metric of decodability exists, we developed a decoding measure (DM) that can be calculated via a web-based scoring…

Mapping multivariate influence of learner characteristics on behavior highlights models in learning. To this end, we explored the relationships between strategies and learning characteristics and used regression analysis to understand how learner characteristics predict learning strategy choices. A cross-sectional research design with 175 students…

This article presents the first-ever big data study of the student evaluation of teaching (SET) using artificial intelligence (AI). We train natural language processing (NLP) models on 1.6 million student evaluations from the US and the UK. We address two research questions: (1) are these models able to predict student ratings from the student…

The Roma, known as well as gypsies, constitute the largest transnational, non-territorial nation. Research has indicated that the majority of Roma students cannot meet school requirements. Teachers' attributions on the causes of Roma students' underachievement have focused on factors such as poverty, illiteracy and different values system.…

Purpose: The study examined age-related differences in the use of semantic context and in the effect of semantic competition in spoken sentence processing. We used offline (response latency) and online (eye gaze) measures, using the "visual world" eye-tracking paradigm. Method: Thirty younger and 30 older adults heard sentences related…