Recent development in recommender systems has demonstrated the effectiveness of deep learning recommendation algorithms. There are several existing open-source libraries for research, but not area context-aware recommendations using learning. Therefore, we develop and release DeepCARSKit which is an based library. supports evaluations specifically designed systems, it provides a standard platfo...

background and purpose: two important clinical education methods are problem-based and student-centered. however, education of “clinical decision-making skills” and “application of clinical knowledge” is important. usually training these cases is done in small groups . in this study, new method of scientific textbooks with four factors mentioned above has been implemented in large education gro...

Context awareness is essential in mobile learning being a highly personalized environment with diverse capabilities. Major challenges of context awareness are to define the learning context, how to sense it, and how to react to changes. Our proposed system provides a general architecture that facilitates contextualization using current widely-used web standards. It provides a systematic approac...

Mobile learning is e-learning delivered through mobile computing devices, which represents the next stage of computer-aided, multi-media based learning. Therefore, mobile learning is transforming the way of traditional education. However, as most current e-learning systems and their contents are not suitable for mobile devices, an approach for mobile devices to adapt to e-learning is presented....

In this paper, we describe an innovative project where Web technologies are exploited to foster science learning in an integrated but mobile smart learning environment. Contextawareness is considered a crucial skill in science learning, therefore we imagined a solution to train students for context awareness by illustrating context gaps based on on-site observations and measurements. A componen...

This paper presents an approach to establish and support learning communities. Based on task context information (which is extracted from multiple sources) and relying on the documents users created as primary source of information, the concept of a “peer recommender system” is presented which internally makes use of a mixture of different similarity measures – including, e.g., archive distance...