At the final session of the 2022 Literacy Research Association Conference, Catherine Compton-Lilly, Marcus Croom, Mary McVee, and Allison Skerrett presented critical work related to equity, representation, and race in literacy scholarship. Panelists shared concerns and pursued a shared goal. Specifically, as literacy scholars, they recognized that…

The "Standards for Educational and Psychological Testing" have served as a cornerstone for best practices in assessment. As the field evolves, so must these standards, with regular revisions ensuring they reflect current knowledge and practice. The National Council on Measurement in Education (NCME) conducted a survey to gather feedback…

The U.S. Department of Education (Department) is committed to supporting the use of technology to improve teaching and learning and to support innovation throughout educational systems. This report addresses the clear need for sharing knowledge and developing policies for "Artificial Intelligence," a rapidly advancing class of…

The sudden, unexpected breakthrough in the intelligence shown by machines, as a wished for, but very disruptive element, will shape the future of our civilisation and Humans as individuals and collectives. The extreme drive towards commercialisation of newest developments already led to an extremely wide spread of Machine Intelligence Assistants…

Colleges and universities have become increasingly concerned that requiring standardized test scores for admission is an impediment to campus diversity, and these objections have grown with the recent focus on societal inequities. In addition, the pandemic led to the cancellation of test administrations, which, in turn, caused many institutions to…

With the rapid adoption of internet-connected and driver-assist technologies, and the spread of semiautonomous to self-driving cars on roads worldwide, cybersecurity for smart cars is a timely concern and one worth exploring both in the classroom and in the real world. Highly publicized hacks against production cars, and a relatively small number…

This study examines whether beliefs about the malleability of intelligence manifest in growth mindset behaviour and improved math achievement among Finnish and Estonian 4th graders. The sample consists of 368 students, 184 from both countries. Results show that the two mindset-instruments being compared--one capturing the generalised implicit…

A key factor in supporting talent development among gifted students is the fostering of a growth mindset in their learning. However, there has been little research on the subject-specific mindsets of these students and their teachers. This study examined the mindsets of academically gifted Finnish upper-secondary students (N = 164) and Finnish…

Few studies have examined growth and predictors of receptive vocabulary in children with autism spectrum disorder. Here we aimed to compare receptive vocabulary from 4 to 8 years and identify predictors of receptive vocabulary, at 8 years, in children with and without autism spectrum disorder. Participants were drawn from a nationally…

The purpose of the study was to examine the relationship between principal change leadership emotional intelligence (PCLEI) and teacher attitudes towards change (TATC) in Malaysian High-Performing Secondary School (HPSS), Mediocre-Performing Secondary School (MPSS) and Low-Performing Secondary School (LPSS). A total of 1,195 teachers completed the…

The etiology of intelligence and learning difficulties is interpreted and perceived in different ways within society. The present study aims to explore the perceptions of a sample of n=501 Brazilian teachers regarding genetic and environmental influences on intelligence and learning difficulties. Using numerical scales, it was observed that…

This article notes the low rate of highly talented or gifted students formally identified in Spain compared to international benchmarks. These students are not properly identified, so a lack of specific educational responses for these highly talented students is also expected. Trying to counteract this trend, this article presents an enrichment…

This study aims to systematically evaluate the scoring errors made by psychologists in training, in the hopes of providing strong, empirically based guidelines to training programs. Survival analysis was used to determine the number of attempts required for graduate students to achieve proficiency in scoring standardized record forms from the…

The purpose of this study was to build a Random Forest supervised machine learning model in order to predict musical rater-type classifications based upon a Rasch analysis of raters' differential severity/leniency related to item use. Raw scores (N = 1,704) from 142 raters across nine high school solo and ensemble festivals (grades 9-12) were…

Introduction: In recent decades the relationship between emotional intelligence and mental health has been analyzed. One conception of emotional intelligence is as a trait, composed of three dimensions: attention, clarity and repair. On the other hand, mental health is commonly measured by the presence/absence of internalizing and externalizing…