Digital Commons Network^™

A Computational Model Of Trust Based On Dynamic Interaction In The Stack Overflow Community, Patrick O’Neill

Dissertations

A member’s reputation in an online community is a quantified representation of their trustworthiness within the community. Reputation is calculated using rules-based algorithms which are primarily tied to the upvotes or downvotes a member receives on posts. The main drawback of this form of reputation calculation is the inability to consider dynamic factors such as a member’s activity (or inactivity) within the community. The research involves the construction of dynamic mathematical models to calculate reputation and then determine to what extent these results compare with rules-based models. This research begins with exploratory research of the existing corpus of knowledge. Constructive …

An Investigation Of Three Subjective Rating Scales Of Mental Workload In Third Level Education, Nha Vu Thanh Nguyen

Dissertations

Mental Workload assessment in educational settings is still recognized as an open research problem. Although its application is useful for instructional design, it is still unclear how it can be formally shaped and which factors compose it. This paper is aimed at investigating a set of features believed to shape the construct of mental workload and aggregating them together in models trained with supervised machine learning techniques. In detail, multiple linear regression and decision trees have been chosen for training models with features extracted respectively from the NASA Task Load Index and the Workload Profile, well-known self-reporting instruments for assessing …

Estimating Wasi Iq Scores To Assist In Identifying Elementary School Gifted Students, Debra Garrett Pregler

Dissertations

Identifying gifted students early is important so they may receive adaptations in their learning environment including admittance into gifted programs (Subotnik, Olszweski-Kubilius, & Worrell, 2012). An effective method to increase the likelihood of identifying gifted students is needed (Pfeiffer, 2003). Admission at the elementary level primarily uses the individually-administered intelligence test; yet, the test is only administered to students nominated to the gifted program. The purpose of this study was to determine if individually-administered IQ test scores were related to specific information available to the elementary school counselor to aid in the determination of unidentified gifted elementary school students who …

From Business Understanding To Deployment: An Application Of Machine Learning Algorithms To Forecast Customer Visits Per Hour To A Fast-Casual Restaurant In Dublin, Odunayo David Adedeji

Dissertations

This research project identifies the significant factors that affects the number of customer visits to a fast-casual restaurant every hour and proceeds to develop several machine learning models to forecast customer visits. The core value proposition of fast-casual restaurants is quality food delivered at speed which means they have to prepare meals in advance of customers visit but the problem with this approach is in forecasting future demand, under estimating demand could lead to inadequate meal preparation which would leave customers unsatisfied while over estimation of demand could lead to wastage especially with restaurants having to comply with food safety …

An Exploration Study Of Using The Universities Performance And Enrolments Features For Predicting The International Quality, Aeshah Althagafi

Dissertations

Quality ranking systems are crucial in the assessment of the academic performance of an institution because these assessment systems give details about how different learning institutions deliver their services. Education quality is also of paramount importance to the students because it is through quality education that these students develop skills that are needed in the job market. Besides, education enhances a student's academic and reasoning capacities. When universities are subjected to ranking systems, they are likely to improve their quality to be ranked high in the system. When the university administrators are exposed to ranking, competition gears up. Through competition, …

An Analysis Of The Act Sub-Scores’ Ability To Predict The Outcome Of College Algebra Through The Lens Of Modern Chaos Theory, Johnathan Jay Mcewen

Dissertations

ACT scores are widely used to predict outcomes in coursework and serve as placement guidelines for college level courses such as college algebra. Due to a changing college environment, the appropriateness of these placement decisions takes on a new, more critical light. Given the rate of success for current predictions in college algebra, and the resulting consequences for misplacement, this study examines the predictive potential of the ACT scores through the examination of non-linear variables and a metaphorically chaotic interpretational lens.

The literature base for this study reveals, almost to exclusion, the use of linear models for the prediction of …

A Regression Study Of Salary Determinants In Indian Job Markets For Entry Level Engineering Graduates, Rajveer Singh

Dissertations

The economic liberalisation of Indian markets in early 90s boosted the economic growth of the nation in various sectors over the next two decades. One such sector that has seen a massive growth in this time is Information Technology (IT). The IT industry has played a very crucial role in transforming India from a slow moving economy to one of the largest exporters of IT services. This growth created a huge demand in the labour markets for skilled labour, which in turn made engineering one of the top choices of study after high school over the years. In addition, the …

An Exploration Of The Relationship Between The Partisan-Business Cycle And Economic Inequality Within Developed Economies, Richard O'Doherty

Dissertations

Recent contributions to the study of inequality have provided strong evidence towards the presence of an established trend, over several decades, of growing economic inequality (with a particular focus on distribution within their tails; i.e. top 10%, 1%) across countries with developed economies and indications of similar trends across developing economies. While the causality and influencing factors to these trends has widely been discussed, and has range from declining domestic growth rates as economies move towards high mass consumption states to globalisation, political decision making and policy application been referred to as both contributory or an instrument for dampening such …

Creating A Framework For Success For High School African American Males: A Policy Advocacy Document, Ilandus Hampton Sr.

Dissertations

The policy advocacy document is an alternative to the traditional doctoral dissertation. This approach arose from the educational administration preparation reform agenda which calls for more thoughtful approaches to educational policy development, a concern that educational leadership express itself in a moral context, and a desire to develop reflective practices in administration. (Browder, 1995). This document attempts to ensure public schools, high schools in particular, are providing African American males with the skills and knowledge necessary to be academically successful so that they are given the opportunity and support necessary to achieve economic and social advancements throughout life. The policy …

An Understanding Of Student Satisfaction, Lorraine Sweeney

Dissertations

Retention is a challenge for all third level institutions and retention rates remain higher than colleges would like them to be, this has intensified in recent years as participants in higher education has increased and diversified. Third level institutions which would not only benefit from increased fees but also through low cost word of mouth promotion and an enhanced reputation. As such, an important concern for colleges is retaining students and understanding the reasons why students may choose to leave a program. While student satisfaction and retention is a well researched topic there remains questions to be answered in terms …

An Evaluation Of Selection Strategies For Active Learning With Regression, Jack O'Neill

Dissertations

While active learning for classification problems has received considerable attention in recent years, studies on problems of regression are rare. This paper provides a systematic review of the most commonly used selection strategies for active learning within the context of linear regression. The recently developed Exploration Guided Active Learning (EGAL) algorithm, previously deployed within a classification context, is explored as a selection strategy for regression problems. Active learning is demonstrated to significantly improve the learning rate of linear regression models. Experimental results show that a purely diversity-based approach to