Bayesian Knowledge Tracing (BKT) is a popular interpretable computational model in the educational mining community that can infer a student's knowledge state and predict future performance based on practice history, enabling tutoring systems to adaptively select exercises to match the student's competency level. Existing BKT implementations do…

In recent years, a multitude of datasets of human-human conversations has been released for the main purpose of training conversational agents based on data-hungry artificial neural networks. In this paper, we argue that datasets of this sort represent a useful and underexplored source to validate, complement, and enhance cognitive studies on…

Network analyses of the phonological mental lexicon show that words are clustered into communities and phonologically dissimilar words can be connected to each other through distant paths. Here we investigate whether behavioral traces of the large-scale structure of the phonological lexicon can be obtained. Participants listened to pairs of spoken…

This paper examines the possibilities and limitations of introducing simulated experiments in the psychology domain by practicing a course with graduate students in psychology, in which simulated experiments were conducted in place of real human experiments. The class-learning object was the dual-storage model of human memory. The simulation…

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,…

There are increasingly frequent calls for school mathematics curricula to be informed by robust research evidence. One approach to achieving this is designing evidence-informed learning and teaching resources for the classroom. In this paper, we reflect on our experiences of designing a free and fully resourced complete set of secondary…

This study used a cluster randomized controlled trial to investigate the effectiveness of two approaches to increasing middle school students' science learning when using an inquiry-based science curriculum. Eighty-nine schools, with 253 teachers and 20,591 students, were randomly assigned into one of three conditions: (a) a treatment condition in…

This dissertation examines the possibilities and anxieties that attend a notion haunting Western thought since at least Kant--that reality itself is a revisable construct, a kind of collective game with social and physical rules that simultaneously delimit and solicit radical interactivity. Investigating experiments in the gamification of reality…

What is the link between neuroscience and education? Can one measure the phenomenon of learning and make predictions by charting student performance? How does the knowledge of neuroscience inform educators to objectively and effectively meet the unique needs of all learners and address discrepancies in subsets of student population? Questions like…

This paper discusses a three-level model that synthesizes and unifies existing learning theories to model the roles of artificial intelligence (AI) in promoting learning processes. The model, drawn from developmental psychology, computational biology, instructional design, cognitive science, complexity and sociocultural theory, includes a causal…

Research on the development of active learning and information search behaviors has been growing rapidly, drawing interest from multiple disciplines, from developmental psychology to cognitive science and artificial intelligence. These different perspectives can open pathways to understanding how preschool-age children grow into adaptive and…

The historical tendency to view medicine as both an art and a science may have contributed to a disinclination among clinicians towards cognitive science. In particular, this has had an impact on the approach towards the diagnostic process which is a barometer of clinical decision-making behaviour and is increasingly seen as a yardstick of…

This study explored the effects of a professional development (PD) on neuroeducation general pedagogical knowledge and instructional strategies for three cohorts of in-service teachers on their teaching self-efficacy beliefs. Teacher self-efficacy is one of the most influential factors for teaching practices, student outcomes, and teacher…

Metaphor generation is both a creative act and a means of learning. When learning a new concept, people often create a metaphor to connect the new concept to existing knowledge. Does the manner in which people generate a metaphor, via sudden insight (Aha! moment) or deliberate analysis, influence the quality of generation and subsequent learning…

Perceivers spontaneously segment ongoing activity into discrete events. This segmentation is important for the moment-by-moment understanding of events, but may also be critical for how events are encoded into episodic memory. In 3 experiments, we used priming to test the possibility that perceptual event boundaries organize memory for everyday…