Investigating attributes affecting the performance of WBI users

This is the post-print version of the final paper published in Computers and Education. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2013 Elsevier B.V.Numerous research studies have explored the effect of hypermedia on learners' performance using Web Based Instruction (WBI). A learner's performance is determined by their varying skills and abilities as well as various differences such as gender, cognitive style and prior knowledge. In this paper, we investigate how differences between individuals influenced learner's performance using a hypermedia system to accommodate an individual's preferences. The effect of learning performance is investigated to explore relationships between measurement attributes including gain scores (post-test minus pre-test), number of pages visited in a WBI program, and time spent on such pages. A data mining approach was used to analyze the results by comparing two clustering algorithms (K-Means and Hierarchical) with two different numbers of clusters. Individual differences had a significant impact on learner behavior in our WBI program. Additionally, we found that the relationship between attributes that measure performance played an influential role in exploring performance level; the relationship between such attributes induced rules in measuring level of a learners' performance

Practice Writing: Responding to the Needs of the Bench and Bar in First-Year Writing Programs

Do first year legal writing programs really prepare law students for the rigors of practice writing? This article begins to answer this question based on attorney and judge survey results, as well as interviews with judges who had also read student work in preparation for their interview. We found that while legal writing programs do provide a good foundation for legal writing skills, improvement can be made. Important changes that we have made at Pierce Law include shorter, more frequent assignments, variation/flexibility in choice of organizational paradigm, understanding the difference between settled and unsettled areas of law, and increased emphasis on grammar, punctuation, and style

Strategies for adding adaptive learning mechanisms to rule-based diagnostic expert systems

Rule-based diagnostic expert systems can be used to perform many of the diagnostic chores necessary in today's complex space systems. These expert systems typically take a set of symptoms as input and produce diagnostic advice as output. The primary objective of such expert systems is to provide accurate and comprehensive advice which can be used to help return the space system in question to nominal operation. The development and maintenance of diagnostic expert systems is time and labor intensive since the services of both knowledge engineer(s) and domain expert(s) are required. The use of adaptive learning mechanisms to increment evaluate and refine rules promises to reduce both time and labor costs associated with such systems. This paper describes the basic adaptive learning mechanisms of strengthening, weakening, generalization, discrimination, and discovery. Next basic strategies are discussed for adding these learning mechanisms to rule-based diagnostic expert systems. These strategies support the incremental evaluation and refinement of rules in the knowledge base by comparing the set of advice given by the expert system (A) with the correct diagnosis (C). Techniques are described for selecting those rules in the in the knowledge base which should participate in adaptive learning. The strategies presented may be used with a wide variety of learning algorithms. Further, these strategies are applicable to a large number of rule-based diagnostic expert systems. They may be used to provide either immediate or deferred updating of the knowledge base

A Call To Combine Rhetorical Theory and Practice in the Legal Writing Classroom

The theory and practice of law have been separated in legal education to their detriment since the turn of the twentieth century. As history teaches us and even the 2007 Carnegie Report perhaps suggests, teaching practice without theory is as inadequate as teaching theory without practice. Just as law students should learn how to draft a simple contract from taking Contracts, they should learn the theory of persuasion from taking a legal writing course. In an economy where law apprenticeship has reverted from employer to educator, legal writing courses should do more than teach analysis, conventional documents, and the social context in which lawyers write. The legal writing professor\u27s task is to impart to her students the intellectual ballast necessary to navigate complex analytical challenges in the workplace. By combining rhetorical theory and practice in the legal writing classroom, the professor can pique students\u27 interest, hasten their learning, and help them develop transferable skills better than teaching by imitation alone. In addition, teaching the rhetorical nature of law in a legal writing course helps students debunk sooner the myth of black letter law in their doctrinal courses. Finally, as the Carnegie Report indicates, a more holistic approach to teaching can best blend the analytical and practical habits of mind that professional practice demands.... This Article begins with a brief history of the separation of theory and practice in the law classroom and the impact that it has had on the quality and reputation of writing as its own subject. The Article argues that despite a wave of pedagogical advances, legal writing as its own subject has ample room to grow. For legal writing courses to achieve intellectual maturity, they must incorporate rhetorical theory. To ignore it is to confirm Plato\u27s suspicion that rhetoric is a discipline without a subject matter and to enable the insidious undervaluing of our profession. As detailed below, there are several advantages to teaching legal writing as rhetoric. Although not the focus of this Article, a corollary advantage may be to help legal writing faculty achieve academic equality, which benefits teacher and student alike. For a variety of reasons, this Article concludes that legal writing professors are responsible for teaching both practical skills as well as the theories that inform them

"Different actors, different tools? Approaching EU and US democracy promotion in the Mediterranean and the Newly Independent States"

This paper contributes to the research agenda on external democracy promotion by attempting a systematic comparison between the democracy promotion endeavors of two major international actors, the European Union (EU) and the United States of America (US). It first outlines an analytical framework that is then tested for its heuristical value, applying it to EU and US democracy promotion efforts on a global and a regional scale, thus comparing different actors as well as across regions. It concludes by highlighting the differences in design and flexibility of their approaches and relates them to a specificity of EU external relations. While both actors can draw on seemingly similar tool boxes for democracy promotion, the EU tends to limit its own scope of action to a rather cooperative approach due to the emphasis it puts on the standardization and (reciprocal) formalization of relations with third countries, including provisions for democracy promotion

Probabilistic Methodology and Techniques for Artefact Conception and Development

The purpose of this paper is to make a state of the art on probabilistic methodology and techniques for artefact conception and development. It is the 8th deliverable of the BIBA (Bayesian Inspired Brain and Artefacts) project. We first present the incompletness problem as the central difficulty that both living creatures and artefacts have to face: how can they perceive, infer, decide and act efficiently with incomplete and uncertain knowledge?. We then introduce a generic probabilistic formalism called Bayesian Programming. This formalism is then used to review the main probabilistic methodology and techniques. This review is organized in 3 parts: first the probabilistic models from Bayesian networks to Kalman filters and from sensor fusion to CAD systems, second the inference techniques and finally the learning and model acquisition and comparison methodologies. We conclude with the perspectives of the BIBA project as they rise from this state of the art