While the influence of presentation formats have been widely studied in Bayesian reasoning tasks, we present the first systematic investigation of how presentation formats influence information search decisions. Four experiments were conducted across different probabilistic environments, where subjects (N = 2,858) chose between 2 possible search…

Recommender systems aim to support users in their decision-making process while interacting with large information spaces and recommend items of interest to users based on preferences they have expressed, either explicitly or implicitly. Recommender systems are increasingly used with product and service selection over the Internet. Although…

Developments in computer and information technologies continue to give opportunities for designing advanced E-learning systems while entailing objective and technical evaluation methodologies. Design and development of E-learning systems require time-consuming and labor-intensive processes; therefore any decision about these systems and their…

Purpose: The paper's aim is to propose a core journal decision method, called the local impact factor (LIF), which can evaluate the requirements of the local user community by combining both the access rate and the weighted impact factor, and by tracking citation information on the local users' articles. Design/methodology/approach: Many…

The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…

Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…

Information Technology has brought significant benefits to organizations by allowing greater information sharing within and across firm boundaries leading to performance improvements. Emerging technologies such as Service Oriented Architecture (SOA) and Web2.0 have transformed the volume and process of information sharing. However, a comprehensive…

This comparison of two approaches to the development of computerized supports for decision making--expert systems and multivariate models--focuses on computerized systems that assist professionals with tasks related to diagnosis or classification in human services. Validation of both expert systems and statistical models is emphasized. (39…

Examines the functional characteristics of intelligent computer-assisted instruction (ICAI), proposes a structural model that defines expertise requirements for the development of an ICAI system, and discusses the requirements of a multidisciplinary cooperative effort for its development. Knowledge acquisition, learning needs, and instructional…

A consultation quality control model (CQCM) developed for an expert system (ES) integrated both ES performance measures and end-user judgment values. Simple decision theory concepts were used to design the CQCM. Results show end users belong to different categories characterized by utility functions and the weights they assign to ES consultation…

This paper discusses the factors involved in making decisions about a multimedia display system. Theoretical factors, including gaining and holding learner attention, specific attention-getting devices, encoding and retrieval of information by learners, and presentation of information are considered. Ways that video is associated with computer…

Describes the design and development of a prototype expert system called ONLINE-EXPERT that helps users select online databases and vendors that meet users' needs. Search strategies are discussed; knowledge acquisition and knowledge bases are described; and the Analytic Hierarchy Process (AHP), a decision analysis technique that ranks databases,…

Describes a study of users' document selection behavior that was conducted to build a tentative cognitive model of document selection behavior to be used in designing intelligent information retrieval systems. Topics addressed include studies of relevance and of decision making; value judgments; and document information elements considered during…

Proposes principles for the design of effective document retrieval (DR) systems incorporating users' cognitive behaviors. Addresses three issues: (1) effective representations for documents to enable users' relevance judgments and decision making; (2) efficient presentations of documents to facilitate users' information processing and decision…

Discussion of the use of interactive video (IV) as an instructional medium focuses on its uses in the teaching of professional interpersonal skills. Topics discussed include the use of IV for tutorials and simulations; learning theories; a model of skill acquisition; hypothesis testing; and nine principles for interactive video designs. (33…