Classifying Web Queries by User Intent aims to identify the type of information need behind the queries. In this paper we use a set of features extracted only from the terms including in the query, without any external or additional information. We automatically extracted the features proposed from two different corpora, then implemented machine learning algorithms to validate the accuracy of t...

The Context Aware Recommender Systems aim to combine a set of technologies and knowledge about the user context in order to deliver the most appropriate information to the user need at just the right time. It is called Proactive Recommendation. In this paper, we propose an approach for context-aware proactive recommendation in a mobile environment that aims at providing users with relevant info...

This study examines the training needs of juvenile justice personnel regarding their work with youth who have disabilities, particularly learning disabilities. Proportionate stratified cluster sampling was used to survey juvenile detention and court services personnel statewide about previous training and confidence of knowledge in these areas. Findings indicate that less than two-thirds (62%) ...

BACKGROUND Working and learning go hand in hand during interprofessional collaborative practice. Patients' nursing records are designed to record patient care and health status. It is not known whether these records are also used to keep track of interprofessional contacts or interprofessional learning between team members. This study explored the usefulness of patients' nursing records in opti...

This  paper  describes  how  English  as  a  Foreign  Language  (EFL)  teachers  can  bring  reliable, valid, user-friendly assessment into their classrooms, and thus improve the quality of learning that  occurs  there.  Based  on  the  experience  of  the  author  as  a  an  EFL  teacher  and  teacher-trainer, it is suggested that the promotion and development of autonomy, intrinsic motivation...