This study aims to develop a comprehensive competency framework for artificial intelligence (AI) literacy, delineating essential competencies and sub-competencies. This framework and its potential variations, tailored to different learner groups (by educational level and discipline), can serve as a crucial reference for designing and implementing…

This study investigated an international, inter-university and multidisciplinary online course with the aim of helping higher education students develop competencies for solving complex problems in collaboration with their peers and stakeholders. The course design was informed by the knowledge creation framework and ideas about cross-boundary…

Tracking students' learning states to provide tailored learner support is a critical element of an adaptive learning system. This study explores how an automatic assessment is capable of tracking learners' cognitive and emotional states during virtual reality (VR)-based representational-flexibility training. This VR-based training program aims to…

This study examined whether developing earlier forms of knowledge in specific learning environments prepares students better for future learning when they are placed in an unfamiliar learning environment. Forty-one students in the fifth and sixth grades learned to program robot movements using abstract concepts of speed, distance and direction.…

Discusses ways in which new technologies, including multimedia and the World Wide Web, support and enhance a range of skills associated with deep-level processing and meaningful learning such as metacognition, problem solving, and critical thinking. Argues that these technologies are underestimated in their capacity to facilitate intellectual…