Introduction: The most important change in medical education is a shift from didactic teacher-centered and subject-based teaching to the use of interactive, problem-based, student-centered learning. Student-centered approach is a teaching approach t that encompasses replacing lectures with active learning, integrating self-paced learning programs and cooperative group situations, ultimately hol...

background: rapid advancement of information and communication technologies has transformed the methods of education. it has created methods which help students achieve deep and effective learning as well as develop a desirable level of creativity. implementation of e-learning in education is one of such methods. the purpose of the present research is to study the impact of self-learning (self-...

AlgoWBIs has been developed to support algorithm learning. The goal to develop this tool is to empower educators and learners with an interactive learning tool to improving algorithm’s skills. The paper focuses on how to trim down the challenges ofalgorithm learning andalso discusses how this tool will improve the effectiveness of computer facilitated interactive learning and will support in re...

Adopting an Information Communication and Technology (ICT) system in an organization is somewhat challenging. User diversity, heavy workload, and different skill gap make the ICT adoption process slower. This research starts from a condition that a conventional ICT learning through short workshop and guidance book is not working well. This research proposes a model called ICT instruction design...

virtual learning is a type of electronic learning system based on the web. it models traditional in- person learning by providing virtual access to classes, tests, homework, feedbacks and etc. students and teachers can interact through chat rooms or other virtual environments. web 2.0 services are usually used for this method. internet audio-visual tools, multimedia systems, a disco cd-roms, vi...

Much more attention has been paid to unsupervised feature selection nowadays due the emergence of massive unlabeled data. The distribution samples and latent effect training a learning method using in effective order need be considered so as improve robustness method. Self-paced is an considering samples. In this study, proposed by integrating framework self-paced subspace learning. Moreover, l...