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This dissertation shares the results of a study of the community of the mobile augmented reality game Pokémon Go. It also serves to build on and expand the framework of Distributed Teaching and Learning (DTALS), which here is used as a framework through which to explore the game’s community (Gee

This dissertation shares the results of a study of the community of the mobile augmented reality game Pokémon Go. It also serves to build on and expand the framework of Distributed Teaching and Learning (DTALS), which here is used as a framework through which to explore the game’s community (Gee & Gee, 2016; Holmes, Tran, & Gee, 2017).  DTALS serves to expand on other models which examine learning in out-of-school contexts, and in particular on the connections between classroom and out-of-school learning, which numerous scholars argue is of critical importance (Sefton-Green, 2004; Vadeboncoeur, Kady-Rachid, & Moghtader, 2014). This framework serves to build bridges as well as fill gaps in some key literature on learning in out-of-school contexts, including connected learning (Ito et al., 2009), participatory culture (Jenkins, Purushotma, Weigel, Clinton, & Robison, 2009), learning ecologies (Barron, 2006), and affinity spaces (Gee, 2004; Gee & Hayes, 2012). The model also focuses on teaching in addition to learning in and across informal contexts.

While DTALS can be used to examine any number of phenomena, this dissertation focuses on the community around Pokémon Go. The game, with its emphasis on geography and community, presents unique opportunities for research. This research draws on existing video game research which focuses on not only games but their communities, and in particular the learning and literacy activities which occur in these communities (Gee & Hayes, 2012; Hayes & Duncan, 2012; Squire, 2006; Steinkuehler, 2006).

The results here are presented as three separate manuscripts. Chapter Two takes a broad view of a local community of players, and discusses different player types and how they teach and learn around the game. Chapter Three focuses on families who play the game together, and in particular three focal parents who share their perceptions of the game's merits, especially its potential to promote family bonding and learning. Chapter Four discusses teaching, in particular guides written about the game and the ways in which they are situated in particular Discourses (Gee, 2014). Finally, Chapter Five offers implications from these three chapters, including implications for designers and researchers as well as calls for future research.
ContributorsTran, Kelly Michaela (Author) / Gee, Elisabeth R (Thesis advisor) / Gee, James P (Committee member) / Serafini, Frank (Committee member) / Arizona State University (Publisher)
Created2018
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Description
Graph theory is a critical component of computer science and software engineering, with algorithms concerning graph traversal and comprehension powering much of the largest problems in both industry and research. Engineers and researchers often have an accurate view of their target graph, however they struggle to implement a correct, and

Graph theory is a critical component of computer science and software engineering, with algorithms concerning graph traversal and comprehension powering much of the largest problems in both industry and research. Engineers and researchers often have an accurate view of their target graph, however they struggle to implement a correct, and efficient, search over that graph.

To facilitate rapid, correct, efficient, and intuitive development of graph based solutions we propose a new programming language construct - the search statement. Given a supra-root node, a procedure which determines the children of a given parent node, and optional definitions of the fail-fast acceptance or rejection of a solution, the search statement can conduct a search over any graph or network. Structurally, this statement is modelled after the common switch statement and is put into a largely imperative/procedural context to allow for immediate and intuitive development by most programmers. The Go programming language has been used as a foundation and proof-of-concept of the search statement. A Go compiler is provided which implements this construct.
ContributorsHenderson, Christopher (Author) / Bansal, Ajay (Thesis advisor) / Lindquist, Timothy (Committee member) / Acuna, Ruben (Committee member) / Arizona State University (Publisher)
Created2018
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Description
Among researchers, educators, and other stakeholders in literacy education, there has been a growing emphasis on developing literacy pedagogies that are more responsive to the ways young people experience literacy in their everyday lives, which often make use of digital media and other technologies for exchanging meaning. This dissertation project

Among researchers, educators, and other stakeholders in literacy education, there has been a growing emphasis on developing literacy pedagogies that are more responsive to the ways young people experience literacy in their everyday lives, which often make use of digital media and other technologies for exchanging meaning. This dissertation project sought to explore the nature of these digital-age literacies in the context of children learning through and about new technologies. Conducting a year-long, multimethod observational study of an out-of-school library-based program designed to engage students in self-directed learning around the domain of computer programming, this project was framed around an analysis of digital-age literacies in design, discourse, and practice. To address each of these areas, the project developed a methodology grounded in interpretive, naturalistic, and participant-observation methodologies in collaboration with a local library Code Club in a metropolitan area of the Southwestern U.S between September 2016 and December 2017. Participants in the project included a total of 47 students aged 8-14, 3 librarians, and 3 parents. Data sources for the project included (1) artifactual data, such as the designed interfaces of the online platforms students regularly engaged with, (2) observational data such as protocol-based field notes taken during and after each Code Club meeting, and (3) interview data, collected during qualitative interviews with students, parents, and library facilitators outside the program. These data sources were analyzed through a multi-method interpretive framework, including the multimodal analysis of digital artifacts, qualitative coding, and discourse analysis. The findings of the project illustrate the multidimensional nature of digital-age literacy experiences as they are rendered “on the screen” at the content level, “behind the screen” at the procedural level, and “beyond the screen” at the contextual level. The project contributes to the literature on literacy education by taking an multi-method, interdisciplinary approach to expand analytical perspectives on digital media and literacy in a digital age, while also providing an empirical account of this approach in a community-embedded context of implementation.
ContributorsAguilera, Earl (Author) / Gee, Elisabeth R (Thesis advisor) / Gee, James P (Committee member) / Serafini, Frank (Committee member) / Arizona State University (Publisher)
Created2018
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Description
A great deal of contemporary research argues that humans learn from experience. This research, however, rarely explicates what constitutes an experience for humans, let alone experiences that lead to deep learning for human flourishing. Experience is constituted of inner and out sensations processed in certain ways. Thus, a biologically realistic

A great deal of contemporary research argues that humans learn from experience. This research, however, rarely explicates what constitutes an experience for humans, let alone experiences that lead to deep learning for human flourishing. Experience is constituted of inner and out sensations processed in certain ways. Thus, a biologically realistic theory of learning must be based on a theory of sensation and how sense making derives from sensation. This dissertation seeks such a theory in the emerging literature on what kinds of creatures humans are and what this implies about how they learn and flourish. This literature ranges across several different disciplines, including neuroscience, evolutionary biology, and work on how affect guides cognition and action. Humans are as able to learn from experiences they have had in media as they are from experiences they have had in the real world. In either case, however, humans do not learn deeply from random experiences. They learn best from experiences that have been designed to recruit affect, help them manage their attention, and give them ways to assess the success of actions they take toward goals. Thus, teaching in the sense of experience design—a task for teachers in schools, as well as media designers and artists of all different sorts—is fundamental to human learning and flourishing. The dissertation defines flourishing in terms of the state of a human being’s allostatic load, a variable which can be measured. Since I am interested how experience designers design sensation to create sense making and sense making that can enhance human flourishing, I am interest in experience design in the arts, a domain that has traditionally been seen as an important source of insight built on sensation. I use examples from traditional and contemporary art in the dissertation. The last chapter is an extended study of the anime Attack on Titan I show how the design of Attack on Titan uses sensation to engender deep contemplation and discussion of complex political, historical, and philosophical issues. The way it achieves this goal has important implications for teaching and learning in and out of school.
ContributorsZhang, Qing (Author) / Gee, James P (Thesis advisor) / Gee, Elisabeth R (Thesis advisor) / Glenberg, Arthur M (Committee member) / Arizona State University (Publisher)
Created2022
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Description
Plagiarism is a huge problem in a learning environment. In programming classes especially, plagiarism can be hard to detect as source codes' appearance can be easily modified without changing the intent through simple formatting changes or refactoring. There are a number of plagiarism detection tools that attempt to encode knowledge

Plagiarism is a huge problem in a learning environment. In programming classes especially, plagiarism can be hard to detect as source codes' appearance can be easily modified without changing the intent through simple formatting changes or refactoring. There are a number of plagiarism detection tools that attempt to encode knowledge about the programming languages they support in order to better detect obscured duplicates. Many such tools do not support a large number of languages because doing so requires too much code and therefore too much maintenance. It is also difficult to add support for new languages because each language is vastly different syntactically. Tools that are more extensible often do so by reducing the features of a language that are encoded and end up closer to text comparison tools than structurally-aware program analysis tools.

Kitsune attempts to remedy these issues by tying itself to Antlr, a pre-existing language recognition tool with over 200 currently supported languages. In addition, it provides an interface through which generic manipulations can be applied to the parse tree generated by Antlr. As Kitsune relies on language-agnostic structure modifications, it can be adapted with minimal effort to provide plagiarism detection for new languages. Kitsune has been evaluated for 10 of the languages in the Antlr grammar repository with success and could easily be extended to support all of the grammars currently developed by Antlr or future grammars which are developed as new languages are written.
ContributorsMonroe, Zachary Lynn (Author) / Bansal, Ajay (Thesis advisor) / Lindquist, Timothy (Committee member) / Acuna, Ruben (Committee member) / Arizona State University (Publisher)
Created2020
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Description
This dissertation takes up the topic of simulations in social studies education. Though simulations are taken up widely by social studies educators, and though they are described as best practice in social studies standards documents and teacher evaluation rubrics, the term lacks specificity. Additionally, design, research, and implementation efforts associated

This dissertation takes up the topic of simulations in social studies education. Though simulations are taken up widely by social studies educators, and though they are described as best practice in social studies standards documents and teacher evaluation rubrics, the term lacks specificity. Additionally, design, research, and implementation efforts associated with social studies simulations often lack theoretical grounding and clarity. A major consequence of this lack of conceptual and theoretical clarity is curriculum violence perpetrated upon young people, particularly along racial and socioeconomic lines, as the result of poorly conceived simulations.This dissertation is presented as three standalone manuscripts, bookended by an Introduction and a Conclusion. In the Introduction, I present an overview of the social studies simulation literature. In Chapter Two, I propose mechanics analysis, a methodological approach to systematically analyzing social studies simulations and games. In Chapter Three, I report on an empirical study using mechanics analysis to analyze three digital social studies-themed simulation games: Offworld Trading Company, Frostpunk, and Surviving Mars. In Chapter Four, I build on the previous two chapters to coordinate the salient research and theory across three field—history and social studies education, learning sciences, and games scholarship—to propose a design theory for a particular kind of simulation game: disciplinarily integrated, consequentially engaging simulation games, or DICES. Finally, I conclude with Chapter Five, in which I highlight what I view as the implications of this work as a whole, including for teachers, teacher educators, researchers, and designers.
ContributorsKessner, Taylor Milan (Author) / Harris, Lauren M (Thesis advisor) / Gee, Elisabeth R (Thesis advisor) / Nelson, Brian C (Committee member) / Stoddard, Jeremy (Committee member) / Arizona State University (Publisher)
Created2021