Learning outcomes are broad statements of what is achieved and assessed at the end of a course of study. The concept of learning outcomes and outcome-based education is high on today's education agenda. The idea has features in common with the move to instructional objectives which became fashionable in the 1960s, but which never had the impact on education practice that it merited. Five import...

We consider learning representations (features) in the setting in which we have access to multiple unlabeled views of the data for learning while only one view is available for downstream tasks. Previous work on this problem has proposed several techniques based on deep neural networks, typically involving either autoencoder-like networks with a reconstruction objective or paired feedforward ne...

Analysis of the convergence rates of modern convex optimization algorithms can be achived through binary means: analysis of emperical convergence, or analysis of theoretical convergence. These two pathways of capturing information diverge in efficacy when moving to the world of distributed computing, due to the introduction of non-intuitive, non-linear slowdowns associated with broadcasting, an...

Personalization techniques offer the possibility to tailor each learner’s experience of a Digital Educational Game (DEG) to their specific needs. Such personalizations can adapt the challenge and difficulty of the DEG to the learner’s cognitive ability, motivation and gaming abilities. In particular, complex story based DEGs have introduced micro adaptive approaches, in which the adaptivity is ...

Objectives: To explore medical student perspectives regarding the importance of biomedical informatics learning objectives to career development, and the amount of emphasis that should be placed on content associated with these objectives in the curriculum. Methods: A Web-based survey was e-mailed to 405 students enrolled at the University of Utah, School of Medicine in spring 2008. Respondents...

Many universities have started to offer a course on the emerging discipline of Software Architecture at either graduate or undergraduate levels. As a result, educators are facing many challenges with respect to which topics to be included in a course on Software Architecture and for which architectural abilities students should be trained and assessed. One way of addressing these challenges is ...

In [1], we introduced mechanical learning and proposed 2 approaches to mechanical learning. Here, we follow one such approach to well describe the objects and the processes of learning. We discuss 2 kinds of patterns: objective and subjective pattern. Subjective pattern is crucial for learning machine. We prove that for any objective pattern we can find a proper subjective pattern based upon le...

Basic science is integral to medical education because it teaches future physicians the fundamental principles of biology they need to become lifelong learners and keep up with expanding medical knowledge. One of these fundamental principles is evolution, which has many practical applications in medicine. Consequently, there is increasing interest in integrating evolutionary biology into medica...

Effective production scheduling requires consideration of the dynamics and unpredictability of the manufacturing environment. An automated learning scheme, utilizing genetic search, is proposed for adaptive control in typical decentralized factory-floor decisionmaking. A high-level knowledge representation for modeling production environments is developed, with facilities for genetic learning w...