The educational significance of eliciting students' implicit theories of intelligence is well established with the majority of this work focussing on theories regarding entity and incremental beliefs. However, a second paradigm exists in the prototypical nature of intelligence for which to view implicit theories. This study purports to instigate…

This paper investigated the influence of moderating variables on Nigerian undergraduates' emotional intelligence and attitude towards examination. Descriptive survey of the correlational type was employed for the study. One thousand, five hundred and thirty-six (1,536) undergraduates in Nigeria were drawn using purposive and stratified sampling…

The purpose of this study was to evaluate the psychometric properties and measurement invariance of a web-based, self-administered battery of assessments of social-emotional comprehension called "SELweb." Assessment modules measured children's ability to read facial expressions, infer others' perspectives, solve social problems, delay…

Recent advances in computer hardware and algorithms are spawning an explosive growth in the use of computer-based systems aimed at analyzing and ultimately correlating large amounts of experimental and synthetic data. As these machine learning tools become more widespread, it is becoming imperative that scientists and researchers become familiar…

This study evaluated how gender is related to children's intelligence beliefs, goal orientations and academic achievement and whether there are gender differences in how intelligence beliefs and goal orientations are related to academic achievement. The participants, 362 seventh grade students (55.8% girls; M[subscript age] = 13.20,…

MOOCs and online courses have notoriously high attrition [1]. One challenge is that it can be difficult to tell if students fail to complete because of disinterest or because of course difficulty. Utilizing a Deep Knowledge Tracing framework, we account for student engagement by including course interaction covariates. With these, we find that we…

The purpose of this study was to evaluate the psychometric properties and measurement invariance of a web-based, self-administered battery of assessments of social-emotional comprehension called "SELweb." Assessment modules measured children's ability to read facial expressions, infer others' perspectives, solve social problems, delay…

Access to big data, the "new commodity" for the 21st century economies, and its uses and potential abuses, has both conceptual and methodological impacts for the field of comparative and international education. This book examines, from a comparative perspective, the impact of the movement from the so-called knowledge-based economy…

Informed by the perspective of complexity theory, this study seeks to explore two English-as-a-foreign-language (EFL) teacher educators' expertise in Hong Kong. Drawing on data from interviews, field observation, and informal communication over one academic year, the study revealed that the teacher educators' expertise entailed different…

The allocation of merit-based awards and need-based aid is important to both universities and students who wish to attend the universities. Current approaches tend to consider only institution-centric objectives (e.g. enrollment, revenue) and neglect student-centric objectives in their formulations of the problem. There is lack of consideration to…

A lack of diversity permeates the science, technology, engineering, and mathematics (STEM) field. Under-representation within STEM fields can stifle innovation and progressive approaches to the future of STEM. Traditional STEM pathways focus on identifying participants who show academic promise in schools. One segment of young people, youth who…

Non-cognitive factors are considered critical aspects in shaping students' academic achievement. This study aims to analyze and explore the mechanisms of the influence of noncognitive factors on 15-year-old students' abilities in China and the United States. Based on the Programme for International Student Assessment (PISA) 2018 education dataset,…

Large-scale international studies offer researchers a rich source of data to examine the relationship among variables. Machine learning embodies a range of flexible statistical procedures to identify key indicators of a response variable among a collection of hundreds or even thousands of potential predictor variables. Among these, penalized…

The present study performed a systematic comparison of DSM-5 and ICD-11 diagnostic criteria for reading disability. We quantitatively investigated the consequences of using DSM-5 or ICD-11, and of the different ways of implementing each diagnostic criterion on the prevalence of reading disability. We did so in a representative sample of the…

Artificial Intelligence (AI) and Extended Reality (XR) have been employed in several foreign language education applications to increase the availability of experiential learning methods akin to international immersion programs. However, research in multi-modal spoken dialogue in L2 combined with immersive technologies and collaborative learning…