Social efficiency shaped much of public schooling in the United States during the early twentieth century. Simultaneously, Roman Catholic schools proliferated and became increasingly regulated by state departments of education. This led to increased influence of public education reform movements on Catholic schools. This article examines the…

Individuals with autism spectrum disorder (ASD) are hypothesized to exhibit relative strengths in verbal and non-verbal reasoning and weaknesses in working memory and speed of information processing. The purpose of the present investigation was to determine the degree to which this cognitive profile as measured by the Wechsler Intelligence Scale…

New technologies and the knowledge economy are destabilising graduate professions, with artificial intelligence and the analysis of 'big data' making significant impacts on formerly secure jobs. Blockchain technology, offering automated secure credentialling of undergraduate students' activities and achievements, may significantly erode existing…

In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes. As part of comparison of normalization methods, input variables were set as: work discipline, environmental awareness, instrumental motivation, science self-efficacy, and weekly…

Given its societal impacts and applications to numerous fields, machine learning (ML) is an important topic to understand for many students outside of computer science and statistics. However, machine-learning education research is nascent, and research on this subject for non-majors thus far has only focused on curricula and courseware. We…

Involving stakeholders throughout the creation of new educational technologies can help ensure their usefulness and usability in real-world contexts. However, given the complexity of learning analytics (LA) systems, it can be challenging to meaningfully involve non-technical stakeholders throughout their design and development. This article…

Developments in AI, robotics and big data are changing the nature of education. Yet the implications of these technologies for the teaching profession are uncertain. While most educators remain convinced of the need for human teachers, outside the profession there is growing anticipation of a technological reinvention of the ways in which teaching…

This paper discusses our experiences teaching a doctoral-level course in emerging information technologies. The concept of emerging technologies is put into context by describing the technology life cycle. The emerging information technologies of current interest -- Artificial Intelligence and related areas, Collective Human-Computer Intelligence,…

Technology-mediated simulations of teaching practice are becoming a more common way to introduce teachers to the dilemmas of teaching during professional development. In this paper, we show that the inclusion of markers of student emotions in cartoon-based scenarios of teaching changes teachers' appropriateness rating of the actions that the…

The traditional linear regression in applied linguistics (AL) suffers from the drawbacks arising from the strict assumptions namely: linearity, and normality, etc. More advanced methods are needed to overcome the shortcomings of the traditional method and grapple with intricate linguistic problems. However, there is no previous review on the…

In the context of Social Stories™, we compared visual attention to social scenes using BoardMaker™ versus photographic stimuli among typically developing (TD) children and age-matched children with ASD. For visual attention, the dependent measures were the number of fixations and fixation time to eye, mouth, and 'other' (background) areas of…

This study investigated the impact of a chatbot-based micro-learning system on students' learning motivation and performance. A quasi-experiment was conducted with 99 first-year students taking part in a basic computer course on number system conversion. The students were assigned to a traditional learning group or a chatbot-based micro-learning…

This paper provides a novel instructional methodology that is designed to conceptually address the four main challenges faced by 21st century students, who must learn in a multitude of educational settings (face to face, hybrid and online). The online learning neuroscience supported instructional methodology detailed in this article also provides…

Performance in elementary cognitive tasks is moderately correlated with fluid intelligence and working memory capacity. These correlations are higher for more complex tasks, presumably due to increased demands on working memory capacity. In accordance with the binding hypothesis, which states that working memory capacity reflects the limit of a…

The purpose of the study was to compare the deficit profiles of two important types of mathematics difficulties. Three cognitive measures (working memory, processing speed, and reasoning), two mathematics measures (numerical facts retrieval and mathematics vocabulary), and reading comprehension were assessed among 237 Chinese fourth-grade…