Knowledge base systems are brittle when the users of the knowledge base are unfamiliar with its content and structure. Querying a knowledge base requires users to state their questions in precise and complete formal representations that relate the facts in the question with relevant terms and relations in the underlying knowledge base. This requirement places a heavy burden on the users to become deeply familiar with the contents of the knowledge base and prevents novice users to effectively using the knowledge base for problem solving. As a result, the utility of knowledge base systems is often restricted to the developers themselves. The goal of this work is to help users, who may possess little domain expertise, to use unfamiliar knowledge bases for problem solving. Our thesis is that the difficulty in using unfamiliar knowledge bases can be addressed by an approach that funnels natural questions, expressed in English, into formal representations appropriate for automated reasoning. The approach uses a simplified English controlled language, a domain-neutral ontology, a set of mechanisms to handle a handful of well known question types, and a software component, called the Question Mediator, to identify relevant information in the knowledge base for problem solving. With our approach, a knowledge base user can use a variety of unfamiliar knowledge bases by posing their questions with simplified English to retrieve relevant information in the knowledge base for problem solving. We studied the thesis in the context of a system called ASKME. We evaluated ASKME on the task of answering exam questions for college level biology, chemistry, and physics. The evaluation consists of successive experiments to test if ASKME can help novice users employ unfamiliar knowledge bases for problem solving. The initial experiment measures ASKME's level of performance under ideal conditions, where the knowledge base is built and used by the same knowledge engineers. Subsequent experiments measure ASKME's level of performance under increasingly realistic conditions. In the final experiment, we measure ASKME's level of performance under conditions where the knowledge base is independently built by subject matter experts and the users of the knowledge base are a group of novices who are unfamiliar with the knowledge base. Results from the evaluation show that ASKME works well on different knowledge bases and answers a broad range of questions that were posed by novice users in a variety of domains. / text

This applied dissertation explored dual enrollment viability when compared to other acceleration mechanisms: (a) advanced placement, (b) advanced international certificate of education, (c) international baccalaureate, and (d) college-level examination program. This multicase, qualitative study explored the competitiveness of dual enrollment versus other acceleration mechanism using Porter’s model and the strengthsweaknessesopportunities- threats analysis as the theoretical frameworks. The study used one-on-one interviews to gather primary comparative information. Five groups were interviewed: (a) the vendors of the acceleration mechanisms, (b) state education officials, (c) district personnel, (d) high school representatives, and (e) higher education representatives. The acceleration mechanisms’ educational objectives, their positioning, and any acceleration mechanisms’ benefits to the various stakeholders were examined. Dual enrollment was compared to the other acceleration mechanisms to develop recommendations for improving the competitive positioning and viability of dual enrollment in Florida. The study found that acceleration-mechanism options were complex and dynamic programs that were highly influenced by government policies and funding. Educational entities viewed the value of acceleration mechanisms differently, especially dual enrollment. All groups agreed that acceleration mechanisms provided rigorous curriculum for high school students to prepare for college. However, educational entities first wanted to protect their own interests and funding. In terms of dual enrollment, financial considerations remained a substantial motivation for the program. The study showed that all acceleration mechanisms offered benefits to participating students. However, the multifaceted and ever-changing nature of acceleration mechanisms provided no clear advantages or benefits for dual enrollment versus other acceleration mechanisms. Several recommendations are made that addressed concerns about the longterm value of dual enrollment for Florida institutions and students.