Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…

The educational recommendation system to provide support for academic guidance and adaptive learning has always been an important issue of research for smart education. A bad guidance can give rise to difficulties in further studies and can be extended to school dropout. This paper explores the potential of Educational Data Mining for academic…

Bayesian networks (BNs) are tools for representing expert knowledge or evidence. They are especially useful for synthesising evidence or belief concerning a complex intervention, assessing the sensitivity of outcomes to different situations or contextual frameworks and framing decision problems that involve alternative types of intervention.…

The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…

Simple Bayesian approaches can be applied to answer specific questions in evaluating an individualized reading program. A small reading and study skills program located in the counseling center of a major research university collected and compiled data on student characteristics such as class, number of sessions attended, grade point average, and…

The philosophy and assumptions of the Multi-Attribute Utility-Bayesian Decision Theoretic model (MAUT-Bayesian model) are presented. The evaluator uses the MAUT-Bayesian model along with the knowledge of the decision-maker's, and perhaps the evaluator's own values to decide what data should be collected. Appropriate data are presented to the…

The conference theme was "The Promise and Perils of Educational Information Systems," defined as collections of test data on knowledges, skills, interests, and attitudes maintained for the purpose of educational decision making. Topics covered were: "Longer Education: Thinner, Broader, or Higher" (Fritz Machlup); "Testing:…