Higher education institutions should rely on the success of educators to deliver quality education in an increasingly economic context. The definition of the competencies necessary for an effective educator rest on top higher education management. Institutions of higher learning may also enhance cognitive abilities. The development of cognitive…

Contextual multi-armed bandits have previously been used to personalize student support messages given to learners by supplying a model with relevant context about the user, problem, and available student supports. In this work, we propose using careful feature selection with relevant domain knowledge to improve the quality of student support…

In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design and which is based on the explainable k-nearest neighbor algorithm,…

Schools across the United States suffer from low on-time graduation rates. Targeted interventions help at-risk students meet graduation requirements in a timely manner, but identifying these students takes time and practice, as warning signs are often context-specific and reflected in a combination of attendance, social, and academic signals…

In this paper we consider discrimination-aware classification of educational data. Mining and using rules that distinguish groups of students based on sensitive attributes such as gender and nationality may lead to discrimination. It is desirable to keep the sensitive attributes during the training of a classifier to avoid information loss but…

This paper outlines how an existing collaborative forecasting tool called a prediction market (PM) can be integrated into an educational context to enhance information literacy skills and cognitive disciplinary knowledge. The paper makes a number of original contributions. First, it describes how this tool can be packaged as a pedagogical…

This paper introduces a new decision support tool, data mining, in the context of knowledge management. The most striking features of data mining techniques are clustering and prediction. The clustering aspect of data mining offers comprehensive characteristics analysis of students, while the predicting function estimates the likelihood for a…

Outlines research showing different ways that information is used in the decision-making process at high levels in organizations. Patterns of executive information use are described, including conceptual, instrumental, tactical, symbolic, and political use; and implications for the design of information systems that support decision making are…

Eight papers from the FID/II Pre-Conference Seminar (Espoo, Finland, August 24-25, 1988) discuss issues related to the use of information as a tool in the context of business information services, strategic information management, business intelligence systems, information resources management, and the role of information and documentation in…

Satisfaction is a construct that is important to the development of intrinsic motivation and the continuing effort to learn. Research that helps to identify those factors that contribute to satisfaction is useful in the design of electronic support systems for individuals and groups. This paper investigates the impact of "need for…

In order to explore possible impacts of changing information technology on the role of the institutional research analyst, three institutional research foundations, measurement, human information processing, and decision support technology are examined. (Author/MLW)

The conceptual framework, design, and implementation plan for building a decision-support system for enrollment management at a private university are outlined, including information about the computer hardware and software used in implementation. (Author/MSE)

Describes the use of electronic spreadsheet software for library decision support systems using personal computers. Discussion covers templates, formulas for allocating the materials budget, LOTUS 1-2-3 and budget allocations, choosing a formula, the spreadsheet itself, graphing capabilities, and advantages and disadvantages of templates. Six…

This paper focuses on the way a multi-criteria decision making methodology is applied in the case of agent-based selection of offered learning objects. The problem of selection is modeled as a decision making one, with the decision variables being the learner model and the learning objects' educational description. In this way, selection of…

Discusses geoprocessing, a computer mapping technique used by the Portland (Oregon) School District in which geographic analysis and data processing are combined. Several applications for administrative decision-making are discussed, including bus routing and redistricting. (JJD)