No abstract

Massive Open Online Courses (MOOCs) have gained significance as a new paradigm in education. MOOCs are open to any interested person and provide education products for a scalable number of learners who have access to the Internet. In recent years, there has been an increasing interest in MOOCs including their types, theories and challenges. Although this is an important and challenging field for Information Systems researchers, a rich and structural literature review has not yet been conducted in this area. The purpose of this article is to present a short review of recent research into MOOCs. Thirty-two papers were selected for review through four search engines with a search of key terms related to MOOCs. On the basis of this review, a holistic definition on MOOCs is presented and an overview of the relevant theories and issues is provided.

Typically, large scientific datasets (order of terabytes)

No abstract

In the data mining field, association rules are discovered having domain knowledge specified as a minimum support threshold. The accuracy in setting up this threshold directly influences the number and the quality of association rules discovered. Often, the number of association rules, even though large in number, misses some interesting rules and the rules' quality necessitates further analysis. As a result, decision making using these rules could lead to risky actions. We propose a framework to discover domain knowledge report as coherent rules. Coherent rules are discovered based on the properties of propositional logic, and therefore, requires no background knowledge to generate them. From the coherent rules discovered, association rules can be derived objectively and directly without knowing the level of minimum support threshold required. We provide analysis of the rules compare to those discovered via the a priori.