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- All Subjects: Learning
- Creators: Nelson, Brian
- Creators: Gee, Elisabeth R
Description
This research study investigated the effects of high fidelity graphics on both learning and presence, or the "sense of being there," inside a Virtual Learning Environment (VLE). Four versions of a VLE on the subject of the element mercury were created, each with a different combination of high and low fidelity polygon models and high and low fidelity shaders. A total of 76 college age (18+ years of age) participants were randomly assigned to one of the four conditions. The participants interacted with the VLE and then completed several posttest measures on learning, presence, and attitudes towards the VLE experience. Demographic information was also collected, including age, computer gameplay experience, number of virtual environments interacted with, gender and time spent in this virtual environment. The data was analyzed as a 2 x 2 between subjects ANOVA.
The main effects of shader fidelity and polygon fidelity were both non- significant for both learning and all presence subscales inside the VLE. In addition, there was no significant interaction between shader fidelity and model fidelity. However, there were two significant results on the supplementary variables. First, gender was found to have a significant main effect on all the presence subscales. Females reported higher average levels of presence than their male counterparts. Second, gameplay hours, or the number of hours a participant played computer games per week, also had a significant main effect on participant score on the learning measure. The participants who reported playing 15+ hours of computer games per week, the highest amount of time in the variable, had the highest score as a group on the mercury learning measure while those participants that played 1-5 hours per week had the lowest scores.
The main effects of shader fidelity and polygon fidelity were both non- significant for both learning and all presence subscales inside the VLE. In addition, there was no significant interaction between shader fidelity and model fidelity. However, there were two significant results on the supplementary variables. First, gender was found to have a significant main effect on all the presence subscales. Females reported higher average levels of presence than their male counterparts. Second, gameplay hours, or the number of hours a participant played computer games per week, also had a significant main effect on participant score on the learning measure. The participants who reported playing 15+ hours of computer games per week, the highest amount of time in the variable, had the highest score as a group on the mercury learning measure while those participants that played 1-5 hours per week had the lowest scores.
ContributorsHorton, Scott (Author) / Nelson, Brian (Thesis advisor) / Savenye, Wilhelmina (Committee member) / Atkinson, Robert (Committee member) / Arizona State University (Publisher)
Created2014
Description
Many web search improvements have been developed since the advent of the modern search engine, but one underrepresented area is the application of specific customizations to search results for educational web sites. In order to address this issue and improve the relevance of search results in automated learning environments, this work has integrated context-aware search principles with applications of preference based re-ranking and query modifications. This research investigates several aspects of context-aware search principles, specifically context-sensitive and preference based re-ranking of results which take user inputs as to their preferred content, and combines this with search query modifications which automatically search for a variety of modified terms based on the given search query, integrating these results into the overall re-ranking for the context. The result of this work is a novel web search algorithm which could be applied to any online learning environment attempting to collect relevant resources for learning about a given topic. The algorithm has been evaluated through user studies comparing traditional search results to the context-aware results returned through the algorithm for a given topic. These studies explore how this integration of methods could provide improved relevance in the search results returned when compared against other modern search engines.
ContributorsVan Egmond, Eric (Author) / Burleson, Winslow (Thesis advisor) / Syrotiuk, Violet (Thesis advisor) / Nelson, Brian (Committee member) / Arizona State University (Publisher)
Created2014
Description
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.
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
Description
As interest in making and STEM learning through making and tinkering continue to rise, understanding the nature, process, and benefits of learning STEM through making have become important topics for research. In addition to understanding the basics of learning through making and tinkering, we need to understand these activities, examine their potential benefits, and find out ways to facilitate such learning experiences for all learners with resources that are readily available. This dissertation is a study of children’s learning while tinkering inspired by the Educational Maker Movement. It is motivated by the projects that children playfully create with broken toys, art and craft resources, and other found objects, and the connections of such activities to learning. Adopting a sociocultural lens this dissertation examines eight to twelve-year-olds’ learning while tinkering in collaboration with friends and family, as well as on their own.
Using a case study methodology and studying interactions and transactions between children, materials, tools, and designs this study involves children learning while tinkering over a week-long workshop as well as over the summer in the Southwest. The three hallmarks of this study are, first, an emphasis on sociocultural nature of the development of tinkering projects; second, an emphasis on meaning making while tinkering with materials, tools, and design, and problem-solving; and third, an examination of the continuation of tinkering using newly acquired tools and skills beyond the duration of the workshop. In doing so, this dissertation contributes to the ongoing discussion of children’s playful tinkering, how and why it counts as learning, and STEM learning associated with tinkering. Implications for future learning and the ways in which tinkering connects to children’s everyday fabric of activities are considered.
Using a case study methodology and studying interactions and transactions between children, materials, tools, and designs this study involves children learning while tinkering over a week-long workshop as well as over the summer in the Southwest. The three hallmarks of this study are, first, an emphasis on sociocultural nature of the development of tinkering projects; second, an emphasis on meaning making while tinkering with materials, tools, and design, and problem-solving; and third, an examination of the continuation of tinkering using newly acquired tools and skills beyond the duration of the workshop. In doing so, this dissertation contributes to the ongoing discussion of children’s playful tinkering, how and why it counts as learning, and STEM learning associated with tinkering. Implications for future learning and the ways in which tinkering connects to children’s everyday fabric of activities are considered.
ContributorsParekh, Priyanka (Author) / Gee, Elisabeth R (Thesis advisor) / Zuiker, Steven (Committee member) / Jordan, Michelle (Committee member) / Arizona State University (Publisher)
Created2018
Description
Can a skill taught in a virtual environment be utilized in the physical world? This idea is explored by creating a Virtual Reality game for the HTC Vive to teach users how to play the drums. The game focuses on developing the user's muscle memory, improving the user's ability to play music as they hear it in their head, and refining the user's sense of rhythm. Several different features were included to achieve this such as a score, different levels, a demo feature, and a metronome. The game was tested for its ability to teach and for its overall enjoyability by using a small sample group. Most participants of the sample group noted that they felt as if their sense of rhythm and drumming skill level would improve by playing the game. Through the findings of this project, it can be concluded that while it should not be considered as a complete replacement for traditional instruction, a virtual environment can be successfully used as a learning aid and practicing tool.
ContributorsDinapoli, Allison (Co-author) / Tuznik, Richard (Co-author) / Kobayashi, Yoshihiro (Thesis director) / Nelson, Brian (Committee member) / Computer Science and Engineering Program (Contributor) / School of International Letters and Cultures (Contributor) / Computing and Informatics Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
This thesis investigates students' learning behaviors through their interaction with an educational technology, Web Programming Grading Assistant. The technology was developed to facilitate the grading of paper-based examinations in large lecture-based classrooms and to provide richer and more meaningful feedback to students. A classroom study was designed and data was gathered from an undergraduate computer-programming course in the fall of 2016. Analysis of the data revealed that there was a negative correlation between time lag of first review attempt and performance. A survey was developed and disseminated that gave insight into how students felt about the technology and what they normally do to study for programming exams. In conclusion, the knowledge gained in this study aids in the quest to better educate students in computer programming in large in-person classrooms.
ContributorsMurphy, Hannah (Author) / Hsiao, Ihan (Thesis director) / Nelson, Brian (Committee member) / School of Computing, Informatics, and Decision Systems Engineering (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Web-Based Programming Grading Assistant: An Investigation of the Role of Students Reviewing Behavior
Description
Paper assessment remains to be an essential formal assessment method in today's classes. However, it is difficult to track student learning behavior on physical papers. This thesis presents a new educational technology—Web Programming Grading Assistant (WPGA). WPGA not only serves as a grading system but also a feedback delivery tool that connects paper-based assessments to digital space. I designed a classroom study and collected data from ASU computer science classes. I tracked and modeled students' reviewing and reflecting behaviors based on the use of WPGA. I analyzed students' reviewing efforts, in terms of frequency, timing, and the associations with their academic performances. Results showed that students put extra emphasis in reviewing prior to the exams and the efforts demonstrated the desire to review formal assessments regardless of if they were graded for academic performance or for attendance. In addition, all students paid more attention on reviewing quizzes and exams toward the end of semester.
ContributorsHuang, Po-Kai (Author) / Hsiao, I-Han (Thesis advisor) / Nelson, Brian (Committee member) / VanLehn, Kurt (Committee member) / Arizona State University (Publisher)
Created2017
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 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
Description
Distributed self-assessments and reflections empower learners to take the lead on their knowledge gaining evaluation. Both provide essential elements for practice and self-regulation in learning settings. Nowadays, many sources for practice opportunities are made available to the learners, especially in the Computer Science (CS) and programming domain. They may choose to utilize these opportunities to self-assess their learning progress and practice their skill. My objective in this thesis is to understand to what extent self-assess process can impact novice programmers learning and what advanced learning technologies can I provide to enhance the learner’s outcome and the progress. In this dissertation, I conducted a series of studies to investigate learning analytics and students’ behaviors in working on self-assessments and reflection opportunities. To enable this objective, I designed a personalized learning platform named QuizIT that provides daily quizzes to support learners in the computer science domain. QuizIT adopts an Open Social Student Model (OSSM) that supports personalized learning and serves as a self-assessment system. It aims to ignite self-regulating behavior and engage students in the self-assessment and reflective procedure. I designed and integrated the personalized practice recommender to the platform to investigate the self-assessment process. I also evaluated the self-assessment behavioral trails as a predictor to the students’ performance. The statistical indicators suggested that the distributed reflections were associated with the learner's performance. I proceeded to address whether distributed reflections enable self-regulating behavior and lead to better learning in CS introductory courses. From the student interactions with the system, I found distinct behavioral patterns that showed early signs of the learners' performance trajectory. The utilization of the personalized recommender improved the student’s engagement and performance in the self-assessment procedure. When I focused on enhancing reflections impact during self-assessment sessions through weekly opportunities, the learners in the CS domain showed better self-regulating learning behavior when utilizing those opportunities. The weekly reflections provided by the learners were able to capture more reflective features than the daily opportunities. Overall, this dissertation demonstrates the effectiveness of the learning technologies, including adaptive recommender and reflection, to support novice programming learners and their self-assessing processes.
ContributorsAlzaid, Mohammed (Author) / Hsiao, Ihan (Thesis advisor) / Davulcu, Hasan (Thesis advisor) / VanLehn, Kurt (Committee member) / Nelson, Brian (Committee member) / Bansal, Srividya (Committee member) / Arizona State University (Publisher)
Created2022