Augmented reality (AR) presents significant opportunities for creating authentic learning environments by accurately mirroring real-world objects, contexts, and tasks. The visual fidelity of AR content, seamlessly integrated into the real world, contributes to its perceived authenticity. Despite acknowledging AR's positive impact on learning,…

Productive peer talk moves have a fundamental role in structuring group discussions and promoting peer interactions. However, there is a lack of comprehensive technical support for developing young learners' skills in using productive peer talk moves. To address this, we designed iTalk-iSee, a participatory visual learning analytical tool that…

Even though past research suggests that visual learning may benefit from conceptual knowledge, current interventions for medical image evaluation often focus on procedural knowledge, mainly by teaching classification algorithms. We compared the efficacy of pure procedural knowledge (three-point checklist for evaluating skin lesions) versus…

Automated image analysis has received increasing attention in social scientific research, yet existing scholarship has mostly covered the application of supervised learning to classify images into predefined categories. This study focuses on the task of unsupervised image clustering, which aims to automatically discover categories from unlabelled…

Previous studies have designed educational methods to cultivate digital citizenship behavior and support the construction of knowledge. However, these methods have not well incorporated personalized feedback mechanisms for enhancing digital citizenship knowledge. Therefore, this study proposed an algorithm that combines concept-effect propagation,…

The COVID-19 pandemic has forced governments and educational institutions around the world to look for viable alternatives to campus-based education. However, pedagogical methods such as Visual Thinking Strategies (VTS) might need to be adapted to low-interactivity distance learning environments, such as datacasting. This paper describes VTS+, a…

The visual system can learn statistical regularities and form search habits that guide attention to a region where a target frequently appears. Although regularities in the real world can change over time, little is known about how such changes affect habit learning. Using a location probability learning task, we demonstrated that a constant…

Preferences for solution methods have an important implication teaching and learning mathematics and students' mathematical performances. In the domain of learning mathematics, there are two modes of processing mathematical information: verbal logical and visual-pictorial. Learners who process mathematical information using verbal logical and…

Despite the recognized importance of emotion in learning (Kim and Pekrun in Handbook of research on educational communications and technology, 4th ed., Springer, pp. 65-75, 2014), instructional material design research primarily focuses on cognition, tending to ignore the affective dimension (Brom et al. in Educ Res Rev 25:100-119, 2018). To…

"Statistical Learning" (SL) involves the extraction of organizing principles from a set of inputs. Recent advances in SL suggest that SL is a componential construct. To better characterize the componential nature of SL, a strategy may be to turn to literature regarding memory and learning. The current study sought to extend the…

Aptitude-treatment interaction (ATI) research is of both theoretical and practical interest to second language (L2) learning, since it provides insights into the processes linking learner-internal individual difference factors and learner-external contextual variables including instructional approach--variables that jointly determine L2 outcomes.…

Visual statistical learning (VSL) has been proposed to underlie literacy development in typically developing (TD) children. A deficit in VSL may thus contribute to the observed problems with written language in children with dyslexia. Interestingly, although many children with developmental language disorder (DLD) exhibit problems with written…

Statistical learning (SL), sensitivity to probabilistic regularities in sensory input, has been widely implicated in cognitive and perceptual development. Little is known, however, about the underlying mechanisms of SL and whether they undergo developmental change. One way to approach these questions is to compare SL across perceptual modalities.…

Creativity is an increasingly recognized construct in technology-enhanced learning. However, our understanding of how creativity interacts with the design of online learning environments to affect learning experiences is still limited. For example, do creative students benefit from different learning environment designs than those benefitting…

Teacher- and student-generated sketches can spawn meaningful note-taking and instructional processes for enhancing learning and knowledge retention.