Although specific learning disabilities (SLD) represent the largest category for which school-age children receive special education services, the science and practice of SLD identification continues to evade consensus. Our goal is to bring together trainers and researchers with different perspectives on SLD identification to help spur a move…

Although it is commonly believed that automation aids human decision-making, conflicting evidence raises questions about whether individuals would gain greater advantages from automation in difficult tasks. Our study examines the combined influence of task difficulty and automation reliability on aided decision-making. We assessed decision…

Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…

Cognitive tasks are seldom evaluated on their ability to provide valid and reliable measurements of the construct they intend to measure. This scarcity of psychometric evaluations makes it challenging to evaluate replications of experimental effects and to relate performance in cognitive tasks to other constructs of interest. In developmental…

The present study examined the posited structure of the Wechsler Intelligence Scale for Children--Fifth Edition (WISC-V) ancillary index scores with normative sample participants aged 6-16 years (N = 2200) using a series of confirmatory factor analyzes (CFA) with maximum likelihood estimation. CFA results supported the retention of auditory…

Although some studies have examined the effects of self-regulated learning (SRL) strategies on learning effectiveness, inconsistent results have been reported. Additionally, studies that adopt the perspective of SRL to evaluate the effect of metacognitive skills on students' actual learning effectiveness in digital game-based learning (DGBL)…

Cognitive load studies are mostly centered on information on perceived cognitive load. Single-item subjective rating scales are the dominant measurement practice to investigate overall cognitive load. Usually, either invested mental effort or perceived task difficulty is used as an overall cognitive load measure. However, the extent to which the…

"Productive Struggle: How Artificial Intelligence is Changing Learning, Effort, and Youth Development in Education," recently released by Bellwether, considers the role of GenAI in education. It proposes a criterion for evaluating these new technologies' impact on student learning: When does ease afforded by GenAI enable greater…

Cognitive load is a critical internal state associated with learners' learning process and significantly influences learning outcomes. With the worldwide popularity of video-based learning (VBL), tracking real-time cognitive load variations becomes more and more important for the timely provision of adaptive learning support during the learning…

The intricate relationship between representational competence and content knowledge in organic chemistry has been widely debated, and the ways in which representations contribute to task difficulty, particularly in assessment, remain unclear. This paper presents a multiple-choice test instrument for assessing individuals' knowledge of fundamental…

Identifying the mental models held by students has been widely emphasized as being a pivotal aspect of effective science education. In fact, it allows us to understand students' conceptions, detect teaching-learning difficulties and tailor instruction accordingly. Hence, in this study, the plant nutrition mental models held by upper secondary…

The rapid digital transformation of vocational education and training (VET) has underscored the need to adapt traditional assessment methods to digital formats. However, when transitioning to digital modes, it is crucial to consider factors beyond mere technical implementation, particularly the potential impact of altered presentation formats on…

Task-relevant actions can facilitate mathematical thinking, even for complex topics, such as mathematical proof. We investigated whether such cognitive benefits also occur for action predictions. The action-cognition transduction (ACT) model posits a reciprocal relationship between movements and reasoning. Movements--imagined as well as real ones…

This report describes the process of developing and validating the enhanced ACT. The report describes the changes made to the test content and the processes by which these design decisions were implemented. The authors describe how they shared the overall scope of the enhancements, including the initial blueprints, with external expert panels,…

This report provides an in-depth comparison of TOEFL iBT® and the Duolingo English Test (DET) in terms of the degree to which both tests assess academic language proficiency in listening, reading, writing, and speaking. The analysis is based on publicly available documentation on both tests, including sample test questions available on the test…