Our field experiment extends prior work on college matriculation by testing the extent to which an artificially intelligent (AI) chatbot's outreach and support to college students (N = 4442) reduced summer melt and improved first-year college enrollment at a 4-year university. Specifically, we investigate which students the intervention proves…

The present study analyzed the joint predictive role of verbal working memory (WM), verbal short-term memory (STM), fluid intelligence, and intelligence mindset in reading comprehension, controlling for prior reading comprehension performance, in typically developing Spanish-speaking school-aged children. A sample of 83 children aged 9-10 years…

Forty years have passed since the "Larry P. v. Riles" (1979) decision prohibiting the use of standardized intelligence quotient (IQ) tests to assess African American children in California for special education. While the "Larry P." case has governed the assessment practices of school psychologists for so many years, yet little…

As cutting-edge technologies, such as machine learning (ML), are increasingly involved in science assessments, it is essential to conceptualize how assessment practices are innovated by technologies. To partially meet this need, this article focuses on ML-based science assessments and elaborates on how ML innovates assessment practices in science…

This methodological-theoretical synergy provides an integrative framework of learning analytics through the development of the human-and-machine symbiotic reinforcement learning. The framework intends to address the challenges of the current learning analytics model, including a lack of internal validity, generalizability, immediacy,…

New cognitive infrastructures are emerging as digital platforms and artificial intelligence enable new forms of automated thinking that shape human decision-making. This paper (a) offers a new theoretical perspective on automated thinking in education policy and (b) illustrates how automated thinking is emerging in one specific policy context. We…

The objectives of the study were as follows: (1) to study of the component of the student relationship management system process with intelligent conversational agent platform, (2) to design the student relationship management system process with intelligent conversational agent platform, and (3) to evaluate the student relationship management…

This study aimed to investigate the level of ethical sensitivity among Princess Alia University College Students in Jordan and how this is influenced by their educational level and specialization. To achieve the objects of the study, the ethical sensitivity scale questionnaire (ESSQ) was used, as developed by Narvaez (2001). This was used to…

Although learning styles (LS) have been recognised as a neuromyth, they remain a virtual truism within education. A point of concern is that the term LS has been used within theories that describe them using completely different notions and categorisations. This is the first empirical study to investigate education professionals'…

Longitudinal studies have generally reported poor outcomes in adulthood for the majority of individuals (c.50-60%) with autism. Several factors putatively predict outcome (e.g. IQ), but findings remain mixed. This paper presents an updated meta-analysis of autism outcome studies and extends previous findings with additional analyses (including…

In the literature, there are studies that separately tackled with how the epistemological beliefs and multiple domains of intelligence of the individuals have developed through their experiences. However, no study has investigated the relationship between them. Consequently, this study aims to investigate the pre-service science, elementary…

Machine learning, a subdomain of artificial intelligence, is a widespread technology that is molding how chemists interact with data. Therefore, it is a relevant skill to incorporate into the toolbox of any chemistry student. This work presents a workshop that introduces machine learning for chemistry students based on a set of Python notebooks…

Phonological difficulties characterize children with developmental dyslexia across languages, but whether impaired auditory processing underlies these phonological difficulties is debated. Here the causal question is addressed by exploring whether individual differences in sensory processing predict the development of phonological awareness in 86…

What it means to be human is inherently incomplete or in a state of permanent mutability. This is excellent for it opens the way to the questions of the inhuman, posthuman, and nonhuman to take center stage in the analysis of what it means to be a subject, which is a core question for education. The question of the inhuman at the core of the human…

Advances in computer science and computational linguistics have yielded new, and faster, computational approaches to structuring and analyzing textual data. These approaches perform well on tasks like information extraction, but their ability to identify complex, socially constructed, and unsettled theoretical concepts--a central goal of…