Student’s satisfaction plays a vital role in success of an educational institute. Hence, many educational institutes continuously improve their service to produce a supportive learning environment to satisfy the student need. For this reason, Educational institutions collect student satisfaction data to make decision about institutional quality, but till now it cannot be determined because stud...

BACKGROUND In athletes, ECG changes from physiological cardiac remodelling are common but can overlap with findings from a pathological disorder. We compared ECG findings in a group of elite high school athletes to a cohort of adolescents with hypertrophic cardiomyopathy (HCM). METHODS/RESULTS We prospectively performed 15-lead ECGs and echocardiograms in 147 elite high school athletes. Stude...

Medical teachers must not only continue to accommodate and assimilate constant changes in medical knowledge, they must also assimilate new approaches to assess both students’ declarative knowledge and procedural skills. Medical schools, postgraduate training programs and licensing bodies (e.g. the General Medical Council) must provide and oversee valid and reliable assessments for students’ com...

It is becoming a standard technique to use learning curves as part of evaluation of intelligent tutoring systems [1,2,3], but such learning curves require a method for attributing errors. That is, the method must determine for each error a student makes what “knowledge component” in the student model is to blame. To this point, alternative methods for error attribution have not been systematica...

This tutorial is an introductory review of color science. The logical and experimental basis of the CIE standard observer and standard observer tools are emphasized. In addition, some aspects of device-calibration are discussed. Finally, the shortcomings of the CIE standard observer are reviewed in order to ready the student for the more advanced tutorials on color appearance.

Contribution: Significant effort has been placed on the development of laboratory exercises for mechanical engineering curricula. Often, however, the exercises are not structured to encourage students to see the labs as a scientific process, instead of a checklist to be completed. Facilitating reflective observation and abstract conceptualization during the concrete experience (CE) of the lab i...

This paper describes the effectiveness of knowledge distillation using teacher student training for building accurate and compact neural networks. We show that with knowledge distillation, information from multiple acoustic models like very deep VGG networks and Long Short-Term Memory (LSTM) models can be used to train standard convolutional neural network (CNN) acoustic models for a variety of...

Predicting student academic performance with a high accuracy facilitates admission decisions and enhances educational services at educational institutions. This raises the need to propose a model that predicts student performance, based on the results of standardized exams, including university entrance exams, high school graduation exams, and other influential factors. In this study, an approa...