Air Force Institute of Technology Research Report 2009

This report summarizes the research activities of the Air Force Institute of Technology’s Graduate School of Engineering and Management. It describes research interests and faculty expertise; lists student theses/dissertations; identifies research sponsors and contributions; and outlines the procedures for contacting the school. Included in the report are: faculty publications, conference presentations, consultations, and funded research projects. Research was conducted in the areas of Aeronautical and Astronautical Engineering, Electrical Engineering and Electro-Optics, Computer Engineering and Computer Science, Systems and Engineering Management, Operational Sciences, Mathematics, Statistics and Engineering Physics

Air Force Institute of Technology Research Report 2018

This Research Report presents the FY18 research statistics and contributions of the Graduate School of Engineering and Management (EN) at AFIT. AFIT research interests and faculty expertise cover a broad spectrum of technical areas related to USAF needs, as reflected by the range of topics addressed in the faculty and student publications listed in this report. In most cases, the research work reported herein is directly sponsored by one or more USAF or DOD agencies. AFIT welcomes the opportunity to conduct research on additional topics of interest to the USAF, DOD, and other federal organizations when adequate manpower and financial resources are available and/or provided by a sponsor. In addition, AFIT provides research collaboration and technology transfer benefits to the public through Cooperative Research and Development Agreements (CRADAs). Interested individuals may discuss ideas for new research collaborations, potential CRADAs, or research proposals with individual faculty using the contact information in this document

Managing Learner’s Affective States in Intelligent Tutoring Systems

Abstract. Recent works in Computer Science, Neurosciences, Education, and Psychology have shown that emotions play an important role in learning. Learner’s cognitive ability depends on his emotions. We will point out the role of emotions in learning, distinguishing the different types and models of emotions which have been considered until now. We will address an important issue con-cerning the different means to detect emotions and introduce recent approaches to measure brain activity using Electroencephalograms (EEG). Knowing the influ-ence of emotional events on learning it becomes important to induce specific emo-tions so that the learner can be in a more adequate state for better learning or memorization. To this end, we will introduce the main components of an emotion-ally intelligent tutoring system able to recognize, interpret and influence learner’s emotions. We will talk about specific virtual agents that can influence learner’s emotions to motivate and encourage him and involve a more cooperative work, particularly in narrative learning environments. Pushing further this paradigm, we will present the advantages and perspectives of subliminal learning which inter

A Contrastive Corpus Analysis between Modern Art Criticism and Photography Criticism for Curriculum Development in Art ESP

The field of ESP encompasses a number of areas. In the developing area of English for Art Purposes or Art ESP, there is almost no material in publication for Art schools and other programs to use. This dissertation addresses the need for material in this field by using contrastive corpus analysis to identify suitable material for this subject and then discusses how contrastive analysis software can also be used to help create content in the form of lesson plans and curriculum material. This study focuses on the unique language features of modern art criticism and photography criticism by looking at the driving differences that characterize each genre by asking the following research questions: 1.Can the language of photography criticism in terms of indicative linguistic features be considered as a distinct genre from modern art criticism? 2.If so, which features drive these differences, and how can the identification of these features be used to create content material for use with nonnative English speakers? This study used a contrastive analysis method by utilizing a computational tool called the Gramulator to isolate and identify the characteristic features that differentiate a Photography Criticism corpus of 48 samples and a Modern Art Criticism corpus of 94 samples. The main findings were viewed in terms of one, two and three word collocations. The software tool also viewed the amount of narrative and science language used in each corpus. The results for this section of the study showed a predicted result of a high rate of scientific language with 30 out of 48 samples showing science language. The Modern Art results were more surprising with a very near split of 44 out of 94 showing science language and 50 out of 94 showing narrative. The software tool was then used to show and discuss how these results could be utilized to create different content for the area of Art ESP. The results were then concluded to support the claim that these are two separate genres of writing