Science education is the meaningful pursuit of comprehension, knowledge and understanding of scientific concepts and processes. In Vygotskian, social-constructivist learning, personal interpretation, decision making and community cooperation fosters long-term understanding and transference of learned concepts. In short, the construction of knowledge requires learners to be actively involved in ...

The present study first defined service-learning and highlighted the research outcome from organized project at university. Meanwhile, distinction between volunteerism was also explored by applying existing theoretical knowledge to practicalities, including how two terminologies are different in identifying meaningful learning experiences of students involving more hands-on approaches. On a sim...

Educational video games and simulations hold great potential as measurement tools to assess student levels of understanding, identify effective instructional techniques, and pinpoint moments of learning because they record all actions taken in the course of solving each problem rather than just the answers given. However, extracting meaningful information from the log data produced by education...

Recent literature has demonstrated the difficulty of classifying between composers who write in extremely similar styles (homogeneous style). Additionally, machine learning studies in this field have been exclusively of technical import with little musicological interpretability or significance. We present a supervised machine learning system which addresses the difficulty of differentiating be...

Electronic Health Record Vendor Adherence to Usability Certification Requirements and Testing Standards Manyelectronichealthrecords (EHRs)havepoorusability, leading to user frustration and safety risks.1 Usability is the extent to which the technology helps users achieve their goals in a satisfying, effective, and efficient manner within the constraints and complexities of their work environmen...

OBJECTIVE To provide formulas for estimating notifiable disease reporting volume from 'meaningful use' electronic laboratory reporting (ELR). METHODS We analyzed two years of comprehensive ELR reporting data from 15 metropolitan hospitals and laboratories. Report volumes were divided by population counts to derive generalizable estimators. RESULTS Observed volume of notifiable disease repor...

The problem of keyword spotting in audio data has been explored for many years. Typically researchers use supervised methods to train statistical models to detect keyword instances. However, such supervised methods require large quantities of annotated data that is unlikely to be available for the majority of languages in the world. This thesis addresses this lack-of-annotation problem and pres...

When it comes to lifelong learning and e-learning, we are steadily moving towards distributed and self-organized networks where multiple content providers offer parts and pieces, not complete vertical systems. This spurs development of new methods and techniques to position learners in these networks. Positioning requires that characteristics of the learner are mapped onto characteristics of le...