Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…

The need to teach medical students plain language for their future engagement in pain communication can no longer be underestimated. Pain education has traditionally neglected the teaching of pain language, yet patients' descriptive accounts have been acknowledged as the standard in medical care. English for Medical Purposes (EMP) can make its…

Recent years have shown increasing awareness for the importance of adaptivity in e-learning. Since the learning style of each learner is different. Adaptive e-learning hypermedia system (AEHS) must fit different learner's needs. A number of AEHS have been developed to support learning styles as a source for adaptation. However, these systems…

To evoke public emphasis on the professional skills training in vocational education, the Ministry of Education (MOE) in Taiwan has recently focused on the certificate of information skills. However, the lack of a systematic and institutionally certified instructor training model within Taiwan not only varies the quality of certified instructors,…

This article aims to establish the effects of masked priming by translation equivalents in Spanish-English bilinguals with a high-intermediate level of proficiency in their second language. Its findings serve as evidence to support the hypothesis that semantic representations mediate the mental association among non-cognates from a speaker's first…

Assigning difficulty level indicators to the knowledge units helps the learners plan their learning activities more efficiently. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty levels of knowledge units. Firstly, the authors present the hierarchical structure and properties of the knowledge map.…

We evaluated the effects of 2 types of training on the emergence of bidirectional intraverbal relations with 4 typically developing children. Tact training involved reinforcing foreign-language vocalizations in the presence of visual stimuli, and listener training involved reinforcing selections of visual stimuli following vocal presentations of…

We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…