Air Force Institute of Technology Research Report 2017

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)

Air Force Institute of Technology Research Report 2012

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

Implementing a Quantitative Analysis Design Tool for Future Generation Interfaces

The implementation of Multi-Aircraft Control (MAC) for use with Remotely Piloted Aircraft (RPA) has resulted in the need of a platform to evaluate interface design. The Vigilant Spirit Control Station (VSCS), developed by the Air Force Research Laboratory, addresses this need by permitting the rapid prototyping of different interface concepts for future MAC-enabled systems. A human-computer interaction (HCI) Index, originally applied to multi-function displays was applied to the prototype Vigilant Spirit interface. A modified version of the HCI Index was successfully applied to perform a quantitative analysis of the baseline VSCS interface and two modified interface designs. The modified HCI Index incorporates the Hick-Hyman decision time, Fitts\u27 Law time, and the physical actions calculated by the Keystroke-level model. The analysis indicates that the average time for the modified interfaces is statistically less than the average time of the original VSCS interface. These results revealed the effectiveness of the tool and demonstrated in the design of future generation interfaces or modifying existing interfaces

A model for systematically investigating relationships between variables that affect the performance of novice programmers

This research was motivated by an interest in novices learning to program and a desire to understand the factors that affect their learning. The traditional approach to performing such an investigation has been to select factors which may be important and then perform statistical tests on a few potential relationships. A new research model is proposed and tested to ensure that a thorough and systematic investigation of the data is performed. This thesis describes the data, defines the model and explains the application and validation of the model. The research process is managed by a control algorithm that is the heart of the model. This algorithm is seeded by a hypothesis that connects two variables of interest and dictates the testing of a series of hypotheses; as it does this, it also delves deeper into the data to identify additional relationships. In this research the model was applied to investigate the relationships between: learning style and achievement; programming behaviour and achievement; and learning style and programming behaviour. Learning style was assessed using Kolb’s Learning Style Inventory, achievement was based on exam score and programming behaviour was extracted from a log of student activities using a programming tool. The largest number of significant relationships was found between aspects of behaviour and achievement. The model was validated by classifying the significant hypotheses based on the research model’s tree structure, the section of the programming tool in use and the literature. These three classification schemes provided a structure to explore their similarities and differences. The model was thus demonstrated to be robust and repeatable by comparing the results with those from both using a programming tool, and expert opinion. This research has revealed several attributes of the learning behaviour that affected the students’ results within this group, including aspects of timeliness and overall volume of activity. These are suitable targets for future investigations. The research model could be applied to other data sets where an in-depth investigation into pairwise data is required.

Air Force Institute of Technology Research Report 2011

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 2015

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 Engineering and Management, Operational Sciences, Mathematics, Statistics and Engineering Physics

Air Force Institute of Technology Research Report 2015

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 Engineering and Management, Operational Sciences, Mathematics, Statistics and Engineering Physics

Efficient Use of Teaching Technologies with Programming Education

Learning and teaching programming are challenging tasks that can be facilitated by using different teaching technologies. Visualization systems are software systems that can be used to help students in forming proper mental models of executed program code. They provide different visual and textual cues that help student in abstracting the meaning of a program code or an algorithm. Students also need to constantly practice the skill of programming by implementing programming assignments. These can be automatically assessed by other computer programs but parts of the evaluation need to be assessed manually by teachers or teaching assistants.There are a lot of existing tools that provide partial solutions to the practical problems of programming courses: visualizing program code, assessing student programming submissions automatically or rubrics that help keeping manual assessment consistent. Taking these tools into use is not straightforward. To succeed, the teacher needs to find the suitable tools and properly integrate them into the course infrastructure supporting the whole learning process. As many programming courses are mass courses, it is a constant struggle between providing sufficient personal guidance and feedback while retaining a reasonable workload for the teacher.This work answers to the question "How can the teaching of programming be effectively assisted using teaching technologies?" As a solution, different learning taxonomies are presented from Computer Science perspective and applied to visualization examples so the examples could be used to better support deeper knowledge and the whole learning process within a programming course. Then, different parts of the assessment process of programming assignments are studied to find the best practices in supporting the process, especially when multiple graders are being used, to maintain objectivity, consistency and reasonable workload in the grading.The results of the work show that teaching technologies can be a valuable aid for the teacher to support the learning process of the students and to help in the practical organization of the course without hindering the learning results or personalized feedback the students receive from their assignments. This thesis presents new visualization categories that allow deeper cognitive development and examples on how to integrate them efficiently into the course infrastructure. This thesis also presents a survey of computer-assisted assessment tools and assessable features for teachers to use in their programming assignments. Finally, the concept of rubric-based assessment tools is introduced to facilitate the manual assessment part of programming assignments