Matching Items (3)
Filtering by
- All Subjects: Computer Science
Description
The purpose of this paper is to develop an understanding of Navajo students' perspectives on how engineering can be used to improve life in their own communities on the Navajo reservation. Branching off an existing study that aims to develop a culturally-contextualized engineering design curriculum for middle schools in the Navajo Nation, this research focuses on a curriculum module entitled, "Future Chapter Presidents". This module is inspired by the Future City Competition where middle school students are tasked with imagining a better future. To make "Future Chapter Presidents" more culturally-relevant, students are instead tasked with proposing solutions that will improve life on the reservation. This module emphasizes engineering design alongside teaching Navajo Nation government standards by having students in the class run for a position in their local government. Students are prompted with creating a campaign poster that showcases their proposed solutions directed at their own communities. In order to analyze students' perspectives and understanding of how engineering can be used to improve life on the reservation, thematic analysis is used to study each individual poster. Meanwhile, because the researchers conducting this study are not Navajo, Tribal Critical Race Theory (Brayboy, 2006) was applied to ensure that the content of the posters are interpreted from an Indigenous lens. The results of this study can be used to inform future curriculum development for engineering design modules in the Navajo Nation and expand upon existing literature that provides understanding of how Navajo students experience and understand engineering in the context of their culture.
ContributorsPangan, Tyrine Jamella Duenas (Author) / Jordan, Shawn (Thesis director) / Foster, Christina (Committee member) / Software Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12
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 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
Description
ASU’s Software Engineering (SER) program adequately prepares students for what happens after they become a developer, but there is no standard for preparing students to secure a job post-graduation in the first place. This project creates and executes a supplemental curriculum to prepare students for the technical interview process. The trial run of the curriculum was received positively by study participants, who experienced an increase in confidence over the duration of the workshop.
ContributorsSchmidt, Julia J (Author) / Roscoe, Rod (Thesis director) / Bansal, Srividya (Committee member) / Software Engineering (Contributor) / Human Systems Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05