A growing body of evidence demonstrates that individual differences in declarative memory may be an important predictor of second language (L2) abilities. However, the evidence comes from studies using different declarative memory tasks that vary in their reliance on verbal abilities and task demands, which preclude estimating the size of the…

This book takes the reader on a journey of metacognitive learning. You are invited to explore mental processes to understand and learn key concepts. The authors help readers discover their learning potential by informing them about how thought processes work, while also offering practical strategies and techniques. This book not only offers a deep…

The core task of reading is to look at letters and identify their sounds and meaning. In English, the spelling system is "quasiregular," meaning it includes many reliable patterns (some so reliable they could be called "rules") but also many inconsistent ones (the sound of "EA" in "heat" vs.…

Humans excel at detecting patterns in information, abstracting rules, and making inferences. Underlying these skills is relational reasoning: the cognitive ability to identify and map abstract, generalizable relations between pieces of information. Though this powerful ability supports higher-order cognition, it can also be a processing bottleneck…

We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…

This study investigates when and how awareness of knowledge gaps (AKG) manifests by observing the problem-solving phase of the educational approach known as problem-solving followed by instruction (PS-I). By comprehensively exploring cognitive and metacognitive process of learners during this phase and categorizing students' judgements of…

Purpose: Previous studies have reported the success of distributional learning for adult speakers across segmental and suprasegmental categories immediately after training. On the other hand, second language (L2) perception models posit that the ease with which learners perceive a nonnative speech contrast depends on the perceptual mapping between…

This paper combines recent developments in theories of knowledge (complex dynamic systems), technologies (embodied interactions), and research tools (multimodal data collection and analysis) to offer new insights into how conceptual mathematical understanding can emerge. A complex dynamic system view models mathematics learning in terms of a…

This study assessed the effectiveness of a spatialized mathematics intervention on the mathematical performance and spatial visualization skills of students from an underprivileged Indonesian community. Grade 8 students (N = 407) were assigned to one of twelve experimental classes, receiving the spatial mathematics intervention, or one of seven…

The present study compared Japanese and U.S. preschool children's knowledge of geometric shapes. The main goal was to explore if differences in shape-naming conventions in Japanese and English could explain differences in children's understanding of geometric shapes. In ancient Chinese-based languages (e.g., Japanese), all standard 2D shapes…

Learning analytics dashboards are becoming increasingly common tools for providing feedback to learners. However, there is limited empirical evidence regarding the effects of learning analytics dashboard design features on learners' cognitive load, particularly in digital learning environments. To address this gap, we developed goal-based,…

The advent of the COVID-19 pandemic accelerated the need to conduct synchronous online instruction in which students and faculty were distributed geographically but aggregated digitally onto a single screen on a computer. This approach will likely persist into the future. Thus, a better understanding of how engagement approaches can be adapted to…

Virtual reality (VR) applications are developing rapidly, becoming more and more affordable, and offer various advantages for learning contexts. Dynamic visualizations are generally suitable for depicting continuous processes (e.g., different movement patterns), and particularly dynamic virtual 3D-objects can provide different perspectives on the…

Some theories have proposed that autistic individuals have difficulty learning predictive relationships. We tested this hypothesis using a serial reaction time task in which participants learned to predict the locations of a repeating sequence of target locations. We conducted a large-sample online study with 61 autistic and 71 neurotypical…

Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…