introduction. education in tabriz medical science university for medical students did not have a fixed and defendable route. students learned most of the lessons theoretically which needed to be practiced and they were graduated from the university without having enough and correct information about them. it is noticeable that almost all of the practical procedures such as, intravenous injectio...

This paper presents a complete description of the improvements that have been conducted for the learning management system at Arab Open University. AOU is the first regional university for open learning in the Middle East and North Africa. The university has strict regulations on the learning process to assure the quality of delivering all learning activities in an optimal way. Accordingly, the...

Learning Non-Taxonomic Relationships is a sub-field of Ontology Learning that aims at automating the extraction of these relationships from text. Several techniques have been proposed based on Natural Language Processing and Machine Learning. However just like for other techniques for Ontology Learning, evaluating techniques for Learning Non-Taxonomic Relationships is an open problem. Three gen...

Formative assessment is deemed the collaborative processes in which teachers and learners are engaged for the purpose of understanding the learners' learning and diagnosing their strengths and weaknesses. On the other hand, teachers' beliefs about formative assessment are paramount and might be influenced by a legion of variables such age, educational background, instructional experience, and g...

We examine the long-run implication of two models of learning with recency bias: recursive weights and limited memory. We show that both models generate similar beliefs, and that both have a weighted universal consistency property. Using the limited memory model we are able to produce learning procedures that are both weighted universally consistent and converge with probability one to strict N...

Several experiments aimed to apply recently proposed statistical procedures which are recommended for analysing multiple 1×n and n×n comparisons of machine learning algorithms were conducted. 11 regression algorithms comprising 5 deterministic and 6 neural network ones implemented in the data mining system KEEL were employed. All experiments were performed using 29 benchmark datasets for regres...

Policy-gradient approaches to reinforcement learning have two common and undesirable overhead procedures, namely warm-start training and sample variance reduction. In this paper, we describe a reinforcement learning method based on a softmax value function that requires neither of these procedures. Our method combines the advantages of policy-gradient methods with the efficiency and simplicity ...

We examine the long-run implication of two models of learning with recency bias: recursive weights and limited memory. We show that both models generate similar beliefs, and that both have a weighted universal consistency property. Using the limited memory model we are able to produce learning procedures that are both weighted universally consistent and converge with probability one to strict N...

Lack of training data hinders automatic recognition and prediction of surgical activities necessary for situationaware operating rooms. We propose using knowledge transfer to compensate for data deficit and improve prediction. We used two approaches to extract and transfer surgical process knowledge. First, we encoded semantic information about surgical terms using word embedding which boosted ...

Background/Study aim The American Society for Gastrointestinal Endoscopy (ASGE) recommends that trainees complete 150 endoscopic ultrasound (EUS) procedures before assessing competency. However, this recommendation is largely based on limited evidence and expert opinion. With new evidence suggesting that this historical threshold is underestimating training requirements, we evaluated the learni...