School Counselor Consultation Preparation: A National Study

The authors examined trends in school counselor consultation preparation using data collected from 238 program websites, 73 program survey responses, and 57 syllabi. The results indicated an emphasis on consultation content related to theories, stakeholders, and topics, rather than experiential practice. The findings suggest a need to incorporate and assess more application-specific consultation activities and assignments.     

What Students Should Know About Technology: The Case of Scientific Visualization

Journal of Science Education and Technology - Starting with the focal question, “what should students know about technology?” we describe and illustrate a way of designing educational...     

Evaluation of a teacher's classroom performance using the Florida performance measurement system

This article documents the use of the screening and formative observation instruments of the Florida Performance Measurement System; a system whose content validity, reliability, and predictive validity has been established for use in evaluating beginning, certified, and master teachers. A videotaped lesson, taught by the Secretary of Education, William Bennett, was coded and the data analyzed by reference to the norms of high school teacher performance in Florida. The specific strengths and areas of potential improvement of the teacher's performance are identified and constructive changes in performance suggested.     

Illustrating the Utility of Differential Bundle Functioning Analyses to Identify and Interpret Group Differences on Achievement Tests

What is differential bundle functioning and how is this different from differential item functioning? Can test specifications be used to identify and aid in the interpretation of differential bundle functioning? How can differential bundle functioning lead to an improved understanding of why groups perform differently on achievement tests?     

OSGS—A Personalized Online Store for E-Commerce Environments

Current online stores suffer from a cardinal problem. There are too many products to offer, and customers find themselves lost due to the vast selection. As opposed to traditional stores, there is little or no guidance that helps the customers as they search. In this paper, we propose a new approach for designing a successful personalized online store enabling the successful searching of customers in the store. This approach is based on algorithms commonly used in recommendation systems, but which are rarely used for searches in online stores. We employ this approach for both keyword and browse searches, and present an implementation of this approach. We compared several search guide algorithms experimentally, and the experiments' results show that the suggested algorithms are applicable to the domain of online stores.