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In this project, the use of deep neural networks for the process of selecting actions to execute within an environment to achieve a goal is explored. Scenarios like this are common in crafting based games such as Terraria or Minecraft. Goals in these environments have recursive sub-goal dependencies which form

In this project, the use of deep neural networks for the process of selecting actions to execute within an environment to achieve a goal is explored. Scenarios like this are common in crafting based games such as Terraria or Minecraft. Goals in these environments have recursive sub-goal dependencies which form a dependency tree. An agent operating within these environments have access to low amounts of data about the environment before interacting with it, so it is crucial that this agent is able to effectively utilize a tree of dependencies and its environmental surroundings to make judgements about which sub-goals are most efficient to pursue at any point in time. A successful agent aims to minimizes cost when completing a given goal. A deep neural network in combination with Q-learning techniques was employed to act as the agent in this environment. This agent consistently performed better than agents using alternate models (models that used dependency tree heuristics or human-like approaches to make sub-goal oriented choices), with an average performance advantage of 33.86% (with a standard deviation of 14.69%) over the best alternate agent. This shows that machine learning techniques can be consistently employed to make goal-oriented choices within an environment with recursive sub-goal dependencies and low amounts of pre-known information.
ContributorsKoleber, Derek (Author) / Acuna, Ruben (Thesis director) / Bansal, Ajay (Committee member) / W.P. Carey School of Business (Contributor) / Software Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
Effective communication and engineering are not a natural pairing. The incongruence is because engineering students are focused on making, designing and analyzing. Since these are the core functions of the field there is not a direct focus on developing communication skills. This honors thesis explores the role and expectations for

Effective communication and engineering are not a natural pairing. The incongruence is because engineering students are focused on making, designing and analyzing. Since these are the core functions of the field there is not a direct focus on developing communication skills. This honors thesis explores the role and expectations for student engineers within the undergraduate engineering education experience to present and communicate ideas. The researchers interviewed faculty about their perspective on students' abilities with respect to their presentation skills to inform the design of a workshop series of interventions intended to make engineering students better communicators.
ContributorsAlbin, Joshua Alexander (Co-author) / Brancati, Sara (Co-author) / Lande, Micah (Thesis director) / Martin, Thomas (Committee member) / Industrial, Systems and Operations Engineering Program (Contributor) / Software Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Education of any skill based subject, such as mathematics or language, involves a significant amount of repetition and pratice. According to the National Survey of Student Engagements, students spend on average 17 hours per week reviewing and practicing material previously learned in a classroom, with higher performing students showing a

Education of any skill based subject, such as mathematics or language, involves a significant amount of repetition and pratice. According to the National Survey of Student Engagements, students spend on average 17 hours per week reviewing and practicing material previously learned in a classroom, with higher performing students showing a tendency to spend more time practicing. As such, learning software has emerged in the past several decades focusing on providing a wide range of examples, practice problems, and situations for users to exercise their skills. Notably, math students have benefited from software that procedurally generates a virtually infinite number of practice problems and their corresponding solutions. This allows for instantaneous feedback and automatic generation of tests and quizzes. Of course, this is only possible because software is capable of generating and verifying a virtually endless supply of sample problems across a wide range of topics within mathematics. While English learning software has progressed in a similar manner, it faces a series of hurdles distinctly different from those of mathematics. In particular, there is a wide range of exception cases present in English grammar. Some words have unique spellings for their plural forms, some words have identical spelling for plural forms, and some words are conjugated differently for only one particular tense or person-of-speech. These issues combined make the problem of generating grammatically correct sentences complicated. To compound to this problem, the grammar rules in English are vast, and often depend on the context in which they are used. Verb-tense agreement (e.g. "I eat" vs "he eats"), and conjugation of irregular verbs (e.g. swim -> swam) are common examples. This thesis presents an algorithm designed to randomly generate a virtually infinite number of practice problems for students of English as a second language. This approach differs from other generation approaches by generating based on a context set by educators, so that problems can be generated in the context of what students are currently learning. The algorithm is validated through a study in which over 35 000 sentences generated by the algorithm are verified by multiple grammar checking algorithms, and a subset of the sentences are validated against 3 education standards by a subject matter expert in the field. The study found that this approach has a significantly reduced grammar error ratio compared to other generation algorithms, and shows potential where context specification is concerned.
ContributorsMoore, Zachary Christian (Author) / Amresh, Ashish (Thesis director) / Nelson, Brian (Committee member) / Software Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Description

The COVID-19 pandemic has forced educators since 2020 to shift from all in-person learning to virtual learning through applications like Zoom. Students are now part of a collage of faces including their teachers’ who often may be dealing with technical glitches, foreign-looking interfaces, and unintentionally disruptive students. On the other

The COVID-19 pandemic has forced educators since 2020 to shift from all in-person learning to virtual learning through applications like Zoom. Students are now part of a collage of faces including their teachers’ who often may be dealing with technical glitches, foreign-looking interfaces, and unintentionally disruptive students. On the other side, students may struggle to find a stable working environment as they learn from home. Distance learning has been explored well before 2020, but its necessity, given the nature of a virus that preys on in-person interaction, has forced itself to the top of relevant conversation. . The issues with distance learning in primary education have roots in long standing issues with the education system as a whole. Without greater public awareness of the woes in our education system, the status quo of declining academic success, teacher salaries, and increasing classroom sizes will continue in the future. The problems with distance learning specifically represent a much more everlasting issue that is lack of accountability and action of lawmakers who are able to make these reforms.

ContributorsManuel, Aditya Thomas (Author) / Martin, Thomas (Thesis director) / Weinman, Melissa (Committee member) / School of Life Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description

Intellectual property (IP) is the lifeblood of the U.S. economy. Despite being an important motivator for innovation, IP laws and IP protections are largely unknown by most individuals outside of the legal field. The purpose of this work is to condense some of the most fundamental concepts in U.S. intellectual

Intellectual property (IP) is the lifeblood of the U.S. economy. Despite being an important motivator for innovation, IP laws and IP protections are largely unknown by most individuals outside of the legal field. The purpose of this work is to condense some of the most fundamental concepts in U.S. intellectual property law and describe them in an understandable way for non-lawyers. This thesis covers basic information on U.S. patents, copyrights, trademarks, trade secrets, and the ways in which they impact both science and society. Additionally, this thesis discusses the need for better IP education and presents a solution to this problem in the form of a partly completed draft for an educational book. The book itself is meant to illustrate how the research of this thesis can be utilized in introductory educational materials while also demonstrating the potential for presenting IP law concepts in a fun and visual way.

ContributorsFarmer, Bethany (Author) / Blanks, Zachary (Co-author) / Martin, Thomas (Thesis director) / Prosser, Eric (Committee member) / Irving, Tom (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-05
ContributorsFarmer, Bethany (Author) / Blanks, Zachary (Co-author) / Martin, Thomas (Thesis director) / Prosser, Eric (Committee member) / Irving, Tom (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-05
ContributorsFarmer, Bethany (Author) / Blanks, Zachary (Co-author) / Martin, Thomas (Thesis director) / Prosser, Eric (Committee member) / Irving, Tom (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2023-05
Description

Intellectual property (IP) is the lifeblood of the U.S. economy. Despite being an important motivator for innovation, IP laws and IP protections are largely unknown by most individuals outside of the legal field. The purpose of this work is to condense some of the most fundamental concepts in U.S. intellectual

Intellectual property (IP) is the lifeblood of the U.S. economy. Despite being an important motivator for innovation, IP laws and IP protections are largely unknown by most individuals outside of the legal field. The purpose of this work is to condense some of the most fundamental concepts in U.S. intellectual property law and describe them in an understandable way for non-lawyers. This thesis covers basic information on U.S. patents, copyrights, trademarks, trade secrets, and the ways in which they impact both science and society. Additionally, this thesis discusses the need for better IP education and presents a solution to this problem in the form of a partly completed draft for an educational book. The book itself is meant to illustrate how the research of this thesis can be utilized in introductory educational materials while also demonstrating the potential for presenting IP law concepts in a fun and visual way.

ContributorsBlanks, Zachary (Author) / Farmer, Bethany (Co-author) / Martin, Thomas (Thesis director) / Prosser, Eric (Committee member) / Irving, Tom (Committee member) / Barrett, The Honors College (Contributor) / School of Molecular Sciences (Contributor)
Created2023-05
ContributorsBlanks, Zachary (Author) / Farmer, Bethany (Co-author) / Martin, Thomas (Thesis director) / Prosser, Eric (Committee member) / Irving, Tom (Committee member) / Barrett, The Honors College (Contributor) / School of Molecular Sciences (Contributor)
Created2023-05
ContributorsBlanks, Zachary (Author) / Farmer, Bethany (Co-author) / Martin, Thomas (Thesis director) / Prosser, Eric (Committee member) / Irving, Tom (Committee member) / Barrett, The Honors College (Contributor) / School of Molecular Sciences (Contributor)
Created2023-05