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,…

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,…

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.…