The ability to selectively focus on and remember important information, referred to as value-directed remembering, may be crucial for effective memory functioning. In the present study, we investigated the relationships between metacognitive monitoring and control accuracy, selectivity for valuable information, and fluid intelligence. Mediation…

In this paper, the authors propose a novel forwarding strategy based on deep learning that can adaptively route interests/data packets through ethernet links without relying on the FIB table. The experiment was conducted as a proof of concept. They developed an approach and an algorithm that leverage existing intelligent forwarding approaches in…

Participants rated Intuition, Suddenness, Pleasure, and Certainty accompanying their solutions to items of a popular fluid intelligence test -- Raven's Advanced Progressive Matrices (RAPM) -- that varied from easy (around 80% correct) to difficult (around 20% correct). The same ratings were collected from four insight problems interleaved with…

One of the most intriguing questions in cognitive science is the Primary Data Entry (PDE) problem: where does social knowledge come from? After birth, an organism meets with reality, which is transcendental, staying beyond any experience and understanding of this pure reason. Basic approaches to the study of cognition are cognitivism,…

Purpose. The purpose of this qualitative multiple case study was to explore how teachers describe the impact of their principal's emotional intelligence, particularly in the area of relationship management, and its influence on teacher self-efficacy. Methodology. This study followed a qualitative, multiple case study design to further explore how…

Many areas of psychology assume that performance on tasks of interest is stable through time. Here, using time-sensitive modeling of working memory task performance, we show not only was this assumption incorrect, but that certain components of the performance trajectory (e.g., final task performance; rate of change) were independently predictive…

Increasing demographic changes present teachers with the opportunity to educate diverse learners. The opportunity has associated challenges, such as cultural gaps between teachers and students and persisting academic performance gaps. The general problem addressed by this study was that teachers often report feeling unprepared and unequipped to…

The uncontrolled utilization of Artificial Intelligence (AI) tools among higher education students has incited debates about their ethical use, particularly in relation to academic integrity. This qualitative study closely investigates how students engage with AI tools in their academic work and the strategies they uphold to ensure and maintain…

Genetic factors are known to play a role in shaping reading abilities and their underlying cognitive processes. However, understanding how genetic and environmental factors interact to influence reading outcomes remains largely unknown. By evaluating the interplay between genetic and environmental influences on reading performance, this study aims…

The present study examined the relationships between the standardized applied behavior analysis (ABA) direct assessment, the PEAK Comprehensive Assessment (PCA), and established assessments commonly used in educational and clinical settings, including the Childhood Autism Rating Scale - Third Edition (CARS-3), the PDD Behavior Inventory (PDDBI),…

This research aims to determine the influence of emotional intelligence and school principal leadership on teacher work behavior at the Public Senior High Schools (SMA) in Palopo. This research employs a quantitative approach with an ex-post facto causal design, involving 77 teachers from the Public Senior High Schools in Palopo as the research…

With the recent release of Chat-GPT by OpenAI, the automated text generation capabilities of GPT-3 are seen as transformative and potentially systemically disruptive for higher education. While the impact on teaching and learning practices is still unknown, it is apparent that alongside risks these tools offer the potential to augment human…

Artificial intelligence (AI) literacy education for senior secondary students can prepare them for an AI-pervasive future. Although senior secondary students have been targeted, whether they can learn abstract AI concepts, feel empowered to harness AI and understand AI ethical issues is under-researched. We report a 34-h AI literacy programme with…

Researchers and practitioners are paying increasing attention to blockchain's potential for resolving trust, privacy, and transparency-related issues in smart education. Research on educational blockchain is also becoming an active field of research. Based on 206 studies published from 2017 to 2020, we identify contributors, collaborators,…

Asynchronous discussions are a popular feature in online higher education as they enable instructor-student and student-student interactions at the users' own time and pace. AI-driven discussion platforms are designed to relieve instructors of automatable tasks, e.g., low-stakes grading and post moderation. Our study investigated the validity of…