The extant literature aimed at characterizing attentional capability in autistics has presented inconsistent findings. This inconsistency and uncertainty may be the product of different theoretical and methodological approaches used to define attention in autism. In the current study, we investigate whether the allocation of attentional resources…

Child maltreatment is a significant public health concern that affects children's health and well-being throughout their life. Children who are maltreated are at an increased risk of developing a disability or delay and are more vulnerable to a range of mental health-related problems, including depression, anxiety, substance abuse, criminality,…

We conducted a multi-pronged investigation of different types of reporting bias in autism early childhood intervention research. First, we investigated the prevalence of reporting failures of completed trials registered on clinicaltrials.gov, and found that only 7% of registered trials were updated with results on the registration platform and…

This article offers an update on key developments in research related visual literacy, children's reading and children's literature. Beginning with an overview of the field, we chart several distinctive 'turns' or research trajectories: the aesthetic, the intercultural or empathic, and the ethical. We then consider how questions of power,…

Student motivation has been conceived as a crucial factor in the learning processes. However, research in motivation and creative learning in the secondary education music classroom has been limited. Student motivation is explored in this article through a collaborative action research study, in the form of several projects centred on the creation…

The nurturing of learners' ways of knowing is vital for supporting their intellectual growth and their participation in democratic knowledge societies. This paper traces the development of two interrelated theoretical frameworks that describe the nature of learners' epistemic thinking and performance and how education can support epistemic growth:…

Purpose: Institutional framings of doctoral education mostly do not recognize the existential dimension of doctoral experience. This paper aims to offer an expanded understanding of experiences of doctoral researchers in the humanities with the concept of entangled becoming. This concept is developed through an existential lens by using Søren…

As the advantages of course-based undergraduate research experiences (CUREs) become widely accepted as a mainstream high-impact practice for undergraduate STEM education, it is paramount for instructors to be trained in effective practices for CURE development and implementation. The Mentoring the Integration of Research Into the Classroom (MIRIC)…

Involving children as stakeholders and including their voices in updating the Australian Early Years Learning Framework (for children birth to age 5) was a focus of this project design. The design was grounded in participatory approaches with a children's rights perspective, as the team prioritised seeking children's views and encouraging their…

Behavioral threat assessment is a step-by-step process for evaluating individuals who threaten harm to others, making systematic judgments about the seriousness of the threat based on case-specific and dynamic risk factors, and identifying interventions necessary to support the individuals and reduce risk for harming others. On September 3 and 4,…

Although the fields of educational data mining and learning analytics have grown significantly in terms of analytical sophistication and the breadth of applications, the impact on theory-building has been limited. To move these fields forward, studies should not only be driven by learning theories, but should also use analytics to in form and…

Open science has become an important part of contemporary science, and some open science practices (such as data sharing) have been prominent aspects of Educational Data Mining (EDM) since the start of the field. There have been recent pushes for EDM to more fully embrace the range of open science practices that are seen in other fields. In this…

We provide a novel characterization of augmented balancing weights, also known as automatic debiased machine learning (AutoDML). These popular "doubly robust" or "de-biased machine learning estimators" combine outcome modeling with balancing weights -- weights that achieve covariate balance directly in lieu of estimating and…

To develop a deeper understanding of who Child Care and Early Education (CCEE) educators are--and what influences impact the entry, retention, turnover, and advancement (that is, the workforce dynamics) in this industry--the Building and Sustaining the Child Care and Early Education Workforce (BASE) research team identified and documented existing…

This article reflects on the tensions I encountered as an insider researcher during a qualitative study exploring academics' integration of educational technology in a South African higher education institution. While critical qualitative approaches acknowledge research participants' vulnerability to the researcher's interpretation and…