When we memorize multiple words simultaneously, semantic relatedness among those words assists memory. For example, the information about "apple", "banana," and "orange" will be connected via a common concept of "fruits" and become easy to retain and recall. Neural mechanisms underlying this semantic…

Cognitive load theory describes the mechanisms for the transfer of information from human working memory to long-term memory. This theory posits that increasing the number of interactive elements, such as interconnections, may increase cognitive load. This study investigates the impact of interconnections in concept maps on cognitive load,…

Humans are often tasked to remember new faces so that they can recognize the faces later in time. Previous studies found that memory reports for basic visual features (e.g., colors and shapes) are susceptible to systematic distortions as a result of comparison with new visual input, especially when the input is perceived as similar to the memory.…

One of the best-known demonstrations of long-term learning through repetition is the Hebb effect: Immediate recall of a memory list repeated amidst nonrepeated lists improves steadily with repetitions. However, previous studies often failed to observe this effect for visuospatial arrays. Souza and Oberauer (2022) showed that the strongest…

The purpose of this study was to examine the memory abilities of bilingual children with and without developmental language disorder (DLD). We compare groups across short-term, working memory, and declarative long-term systems in the verbal and nonverbal domains. The study also analyzes how memory abilities are related to children's expressive and…

Successful language comprehension requires the rapid deployment of working memory resources alongside the capacity to predict upcoming linguistic input. While previous research views these as competing factors, this dissertation explores a unified theory of processing complexity and evaluates the interaction between memory and prediction. The…

The Hebb repetition effect shows improvement in serial recall of repeated lists compared to random nonrepeated lists. Previous research using simple span tasks found that the Hebb repetition effect is limited to constant uninterrupted lists, suggesting chunking as the mechanism of list learning. However, the Hebb repetition effect has been found…

The initial learning experience is a critical opportunity to support conceptual understanding of abstract STEM concepts. Although hands-on activities and physical three-dimensional models are beneficial, they are seldom utilized and are replaced increasingly by digital simulations and laboratory exercises presented on touchscreen tablet computers.…

The ability of the brain to extract patterns from the environment and predict future events, known as statistical learning, has been proposed to interact in a competitive manner with prefrontal lobe-related networks and their characteristic cognitive or executive functions. However, it remains unclear whether these cognitive functions also possess…

Research investigating pragmatic abilities in healthy aging suggests that both production and comprehension might be compromised; however, it is not clear how pragmatic abilities evolve in late adulthood, as well as when difficulties are more likely to arise. The aim of this study is to investigate the decline of pragmatic skills in aging, and to…

Dropout refers to the phenomenon of students leaving school before completing their degree or program of study. Dropout is a major concern for educational institutions, as it affects not only the students themselves but also the institutions' reputation and funding. Dropout can occur for a variety of reasons, including academic, financial,…

In the profession of education, predicting students' academic success is an essential responsibility. This study introduces a novel methodology for predicting students' pass or fail outcome in certain courses. The system utilises academic, demographic, emotional, and VLE sequence information of students. Traditional prediction methods often…

This article aims to study and implement a deep learning algorithm-based information literacy assistance system for college students to solve the problems of insufficient personalization and untimely feedback in the existing information literacy education methods, so as to improve the information literacy level of college students. This article…

Most cognitive training programs are adaptive, despite limited direct evidence that this maximizes children's outcomes. This randomized controlled trial evaluated working memory training with difficulty of activities presented using adaptive, self-select, or stepwise compared with an active control. At baseline, immediately, and 6-months…

The implementation of artificial intelligence (AI) tools has revolutionized language education. For teachers and students, it provides more options for personalized learning that can be utilized inside or outside of the classroom with real-time feedback. While AI has been pivotal in making language education accessible for students, including…