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- Genre: Doctoral Dissertation
Description
Statistics is taught at every level of education, yet teachers often have to assume their students have no knowledge of statistics and start from scratch each time they set out to teach statistics. The motivation for this experimental study comes from interest in exploring educational applications of augmented reality (AR) delivered via mobile technology that could potentially provide rich, contextualized learning for understanding concepts related to statistics education. This study examined the effects of AR experiences for learning basic statistical concepts. Using a 3 x 2 research design, this study compared learning gains of 252 undergraduate and graduate students from a pre- and posttest given before and after interacting with one of three types of augmented reality experiences, a high AR experience (interacting with three dimensional images coupled with movement through a physical space), a low AR experience (interacting with three dimensional images without movement), or no AR experience (two dimensional images without movement). Two levels of collaboration (pairs and no pairs) were also included. Additionally, student perceptions toward collaboration opportunities and engagement were compared across the six treatment conditions. Other demographic information collected included the students' previous statistics experience, as well as their comfort level in using mobile devices. The moderating variables included prior knowledge (high, average, and low) as measured by the student's pretest score. Taking into account prior knowledge, students with low prior knowledge assigned to either high or low AR experience had statistically significant higher learning gains than those assigned to a no AR experience. On the other hand, the results showed no statistical significance between students assigned to work individually versus in pairs. Students assigned to both high and low AR experience perceived a statistically significant higher level of engagement than their no AR counterparts. Students with low prior knowledge benefited the most from the high AR condition in learning gains. Overall, the AR application did well for providing a hands-on experience working with statistical data. Further research on AR and its relationship to spatial cognition, situated learning, high order skill development, performance support, and other classroom applications for learning is still needed.
ContributorsConley, Quincy (Author) / Atkinson, Robert K (Thesis advisor) / Nguyen, Frank (Committee member) / Nelson, Brian C (Committee member) / Arizona State University (Publisher)
Created2013
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
The construction industry has been growing over the past few years, but it is facing numerous challenges, related to craft labor availability and declining productivity. At the same time, the industry has benefited from computational advancements by leveraging the use of Building Information Modeling (BIM) to create information rich 3D models to enhance the planning, designing, and construction of projects. Augmented Reality (AR) is one technology that could further leverage BIM, especially on the construction site. This research looks at the human performance attributes enabled using AR as the main information delivery tool in the various stages of construction. The results suggest that using AR for information delivery can enhance labor productivity and enable untrained personnel to complete key construction tasks. However, its usability decreases when higher accuracy levels are required. This work contributes to the body of knowledge by empirically testing and validating the performance effects of using AR during construction tasks and highlights the limitations of current generation AR technology related to the construction industry. This work serves as foundation of future industry-based AR applications and research into potential AR implementations.
ContributorsChalhoub, Jad M (Author) / Ayer, Steven K. (Thesis advisor) / Ariaratnam, Samuel T. (Committee member) / Atkinson, Robert K. (Committee member) / Arizona State University (Publisher)
Created2019
Description
The present study explored the use of augmented reality (AR) technology to support cognitive modeling in an art-based learning environment. The AR application used in this study made visible the thought processes and observational techniques of art experts for the learning benefit of novices through digital annotations, overlays, and side-by-side comparisons that when viewed on mobile device appear directly on works of art.
Using a 2 x 3 factorial design, this study compared learner outcomes and motivation across technologies (audio-only, video, AR) and groupings (individuals, dyads) with 182 undergraduate and graduate students who were self-identified art novices. Learner outcomes were measured by post-activity spoken responses to a painting reproduction with the pre-activity response as a moderating variable. Motivation was measured by the sum score of a reduced version of the Instructional Materials Motivational Survey (IMMS), accounting for attention, relevance, confidence, and satisfaction, with total time spent in learning activity as the moderating variable. Information on participant demographics, technology usage, and art experience was also collected.
Participants were randomly assigned to one of six conditions that differed by technology and grouping before completing a learning activity where they viewed four high-resolution, printed-to-scale painting reproductions in a gallery-like setting while listening to audio-recorded conversations of two experts discussing the actual paintings. All participants listened to expert conversations but the video and AR conditions received visual supports via mobile device.
Though no main effects were found for technology or groupings, findings did include statistically significant higher learner outcomes in the elements of design subscale (characteristics most represented by the visual supports of the AR application) than the audio-only conditions. When participants saw digital representations of line, shape, and color directly on the paintings, they were more likely to identify those same features in the post-activity painting. Seeing what the experts see, in a situated environment, resulted in evidence that participants began to view paintings in a manner similar to the experts. This is evidence of the value of the temporal and spatial contiguity afforded by AR in cognitive modeling learning environments.
Using a 2 x 3 factorial design, this study compared learner outcomes and motivation across technologies (audio-only, video, AR) and groupings (individuals, dyads) with 182 undergraduate and graduate students who were self-identified art novices. Learner outcomes were measured by post-activity spoken responses to a painting reproduction with the pre-activity response as a moderating variable. Motivation was measured by the sum score of a reduced version of the Instructional Materials Motivational Survey (IMMS), accounting for attention, relevance, confidence, and satisfaction, with total time spent in learning activity as the moderating variable. Information on participant demographics, technology usage, and art experience was also collected.
Participants were randomly assigned to one of six conditions that differed by technology and grouping before completing a learning activity where they viewed four high-resolution, printed-to-scale painting reproductions in a gallery-like setting while listening to audio-recorded conversations of two experts discussing the actual paintings. All participants listened to expert conversations but the video and AR conditions received visual supports via mobile device.
Though no main effects were found for technology or groupings, findings did include statistically significant higher learner outcomes in the elements of design subscale (characteristics most represented by the visual supports of the AR application) than the audio-only conditions. When participants saw digital representations of line, shape, and color directly on the paintings, they were more likely to identify those same features in the post-activity painting. Seeing what the experts see, in a situated environment, resulted in evidence that participants began to view paintings in a manner similar to the experts. This is evidence of the value of the temporal and spatial contiguity afforded by AR in cognitive modeling learning environments.
ContributorsShapera, Daniel Michael (Author) / Atkinson, Robert K (Thesis advisor) / Nelson, Brian C (Committee member) / Erickson, Mary (Committee member) / Arizona State University (Publisher)
Created2016
Description
Environmental remote sensing has seen rapid growth in the recent years and Doppler wind lidars have gained popularity primarily due to their non-intrusive, high spatial and temporal measurement capabilities. While lidar applications early on, relied on the radial velocity measurements alone, most of the practical applications in wind farm control and short term wind prediction require knowledge of the vector wind field. Over the past couple of years, multiple works on lidars have explored three primary methods of retrieving wind vectors viz., using homogeneous windfield assumption, computationally extensive variational methods and the use of multiple Doppler lidars.
Building on prior research, the current three-part study, first demonstrates the capabilities of single and dual Doppler lidar retrievals in capturing downslope windstorm-type flows occurring at Arizona’s Barringer Meteor Crater as a part of the METCRAX II field experiment. Next, to address the need for a reliable and computationally efficient vector retrieval for adaptive wind farm control applications, a novel 2D vector retrieval based on a variational formulation was developed and applied on lidar scans from an offshore wind farm and validated with data from a cup and vane anemometer installed on a nearby research platform. Finally, a novel data visualization technique using Mixed Reality (MR)/ Augmented Reality (AR) technology is presented to visualize data from atmospheric sensors. MR is an environment in which the user's visual perception of the real world is enhanced with live, interactive, computer generated sensory input (in this case, data from atmospheric sensors like Doppler lidars). A methodology using modern game development platforms is presented and demonstrated with lidar retrieved wind fields. In the current study, the possibility of using this technology to visualize data from atmospheric sensors in mixed reality is explored and demonstrated with lidar retrieved wind fields as well as a few earth science datasets for education and outreach activities.
Building on prior research, the current three-part study, first demonstrates the capabilities of single and dual Doppler lidar retrievals in capturing downslope windstorm-type flows occurring at Arizona’s Barringer Meteor Crater as a part of the METCRAX II field experiment. Next, to address the need for a reliable and computationally efficient vector retrieval for adaptive wind farm control applications, a novel 2D vector retrieval based on a variational formulation was developed and applied on lidar scans from an offshore wind farm and validated with data from a cup and vane anemometer installed on a nearby research platform. Finally, a novel data visualization technique using Mixed Reality (MR)/ Augmented Reality (AR) technology is presented to visualize data from atmospheric sensors. MR is an environment in which the user's visual perception of the real world is enhanced with live, interactive, computer generated sensory input (in this case, data from atmospheric sensors like Doppler lidars). A methodology using modern game development platforms is presented and demonstrated with lidar retrieved wind fields. In the current study, the possibility of using this technology to visualize data from atmospheric sensors in mixed reality is explored and demonstrated with lidar retrieved wind fields as well as a few earth science datasets for education and outreach activities.
ContributorsCherukuru, Nihanth Wagmi (Author) / Calhoun, Ronald (Thesis advisor) / Newsom, Rob (Committee member) / Huang, Huei Ping (Committee member) / Chen, Kangping (Committee member) / Dahm, Werner (Committee member) / Arizona State University (Publisher)
Created2017
Description
In the last decade, the educational field, in general, has experienced increasing interest in applying augmented reality (AR) for educational purposes. Studies have shown that when AR is effectively applied in education, it can increase students’ learning interest and concentration (Zhang et al., 2014), reduce cognitive overload (Bower et al., 2014, p.1), and provide a more authentic learning experience (Klopfer, 2008). This study uses both cognitive and sociocultural theoretical perspectives to better understand the role of AR in peer interaction by investigating language-related episodes (LREs) during collaborative dialogue. The current study investigates whether mobile-based AR influence the number, nature, outcome, and correction orientation of LREs during two oral and writing-focused activities of ten advanced L2 Spanish dyads using AR and non-AR mobile applications. The results show significant differences in the incidence of LREs in both settings (AR vs non-AR) and modality focus (oral vs writing-focused). Although significant differences were found between mechanical LREs vs. lexical and grammatical LREs, no significant differences were found between lexical and grammatical LREs in both modalities and settings. Likewise, the correction orientation was similar in both modalities, whereas the LRE outcomes were significantly different in both settings. Immediate posttests were administered to determine whether participants retained the results of the LREs based on the LRE outcome types. The posttests showed a strong correlation between the recognition and production scores of the grammatical structures. However, no significant differences were found in the recognition or production of grammatical structures nor the production of lexical items between the two settings.
ContributorsDomaz, Silvana (Author) / Lafford, Barbara (Thesis advisor) / Smith, Bryan (Thesis advisor) / Tecedor, Marta (Committee member) / Arizona State University (Publisher)
Created2020
Description
The construction industry requires effective communication between project stakeholders in various locations. This communication can be facilitated by in-person site visits or phone calls. However, these traditional methods can lead to wasted travel time or the omission of critical visual site details. In theory, augmented reality (AR) can support consistent understandings of site environments in a similar way to in-person visits also with the efficiency of phone calls. Similar to the telestrator (i.e. video marker) seen during a football game, virtual content is overlayed over a real physical view of a space. While many studies explored the potential benefits of AR application for communication in controlled environments, they also mentioned the necessity to implement AR in uncontrolled environments. This dissertation’s main objective is to explore AR in live construction sites. First, this research explores literature through a comprehensive review to understand what has been documented in the literature: what shows consensus, what shows divergence among the existing studies, and understand the different contexts that would trigger challenges. Second, this research evaluates the utilization of augmented reality (AR) by exploring practitioners performing AR calls on field in real-time highway construction. During these trials, an on-site user engaged in an AR call with an off-site user. These calls were analyzed, and follow-up interviews were then conducted with the users to get a rich understanding of the users’ behaviors and perceptions. This field testing enabled the author to explore beneficial and challenging factors that affected the use of AR, categorize them, and identify ways in which AR technologies may, and may not, immediately support site-based communication for ongoing construction application. Third, this research establishes a decision-making framework that incorporates the advantageous and challenging factors outlined in paper 2. This framework considers various contextual factors and user behaviors related to the application in order to address and mitigate some of the challenges. This framework is given to users to test its content, comprehensiveness, and workflow. The framework is then updated and developed based on three rounds of Delphi panels to get a final consensus from users. The results of this dissertation offer a tool for users who never used AR on site before, support its use when it is effective, and avoid it when it is not.
ContributorsEl Kassis, Rita (Author) / Ayer, Steven SA (Thesis advisor, Committee member) / El Asmar, Mounir MEA (Thesis advisor, Committee member) / Parrish, kristen KP (Committee member) / Arizona State University (Publisher)
Created2023
Description
Evidence suggests that Augmented Reality (AR) may be a powerful tool for
alleviating certain, lightly held scientific misconceptions. However, many
misconceptions surrounding the theory of evolution are deeply held and resistant to
change. This study examines whether AR can serve as an effective tool for alleviating
these misconceptions by comparing the change in the number of misconceptions
expressed by users of a tablet-based version of a well-established classroom simulation to
the change in the number of misconceptions expressed by users of AR versions of the
simulation.
The use of realistic representations of objects is common for many AR
developers. However, this contradicts well-tested practices of multimedia design that
argue against the addition of unnecessary elements. This study also compared the use of
representational visualizations in AR, in this case, models of ladybug beetles, to symbolic
representations, in this case, colored circles.
To address both research questions, a one-factor, between-subjects experiment
was conducted with 189 participants randomly assigned to one of three conditions: non
AR, symbolic AR, and representational AR. Measures of change in the number and types
of misconceptions expressed, motivation, and time on task were examined using a pair of
planned orthogonal contrasts designed to test the study’s two research questions.
Participants in the AR-based condition showed a significantly smaller change in
the number of total misconceptions expressed after the treatment as well as in the number
of misconceptions related to intentionality; none of the other misconceptions examined
showed a significant difference. No significant differences were found in the total
number of misconceptions expressed between participants in the representative and
symbolic AR-based conditions, or on motivation. Contrary to the expectation that the
simulation would alleviate misconceptions, the average change in the number of
misconceptions expressed by participants increased. This is theorized to be due to the
juxtaposition of virtual and real-world entities resulting in a reduction in assumed
intentionality.
alleviating certain, lightly held scientific misconceptions. However, many
misconceptions surrounding the theory of evolution are deeply held and resistant to
change. This study examines whether AR can serve as an effective tool for alleviating
these misconceptions by comparing the change in the number of misconceptions
expressed by users of a tablet-based version of a well-established classroom simulation to
the change in the number of misconceptions expressed by users of AR versions of the
simulation.
The use of realistic representations of objects is common for many AR
developers. However, this contradicts well-tested practices of multimedia design that
argue against the addition of unnecessary elements. This study also compared the use of
representational visualizations in AR, in this case, models of ladybug beetles, to symbolic
representations, in this case, colored circles.
To address both research questions, a one-factor, between-subjects experiment
was conducted with 189 participants randomly assigned to one of three conditions: non
AR, symbolic AR, and representational AR. Measures of change in the number and types
of misconceptions expressed, motivation, and time on task were examined using a pair of
planned orthogonal contrasts designed to test the study’s two research questions.
Participants in the AR-based condition showed a significantly smaller change in
the number of total misconceptions expressed after the treatment as well as in the number
of misconceptions related to intentionality; none of the other misconceptions examined
showed a significant difference. No significant differences were found in the total
number of misconceptions expressed between participants in the representative and
symbolic AR-based conditions, or on motivation. Contrary to the expectation that the
simulation would alleviate misconceptions, the average change in the number of
misconceptions expressed by participants increased. This is theorized to be due to the
juxtaposition of virtual and real-world entities resulting in a reduction in assumed
intentionality.
ContributorsHenry, Matthew McClellan (Author) / Atkinson, Robert K (Thesis advisor) / Johnson-Glenberg, Mina C (Committee member) / Nelson, Brian C (Committee member) / Arizona State University (Publisher)
Created2019
Description
Underground infrastructure is a critical part of the essential utility services provided to society and the backbone of modern civilization. However, now more than ever before, the disastrous events of a striking underground utilities cost billions of dollars each year in societal damages. Advanced technology and sophisticated visualization techniques such as augmented reality (AR) now play a significant role in mitigating such devastating consequences. Therefore, it is vitally important to coordinate resources, share information, and ensure efficient communication between construction personnel and utility owners. Besides, geographic information systems (GIS) provide a solution for interoperability in the construction industry. Applying such technologies in the field of underground construction requires accurate and up-to-date information. However, there is currently limited research that has integrated AR and GIS and evaluated the effectiveness and usability of the combination in this domain. The main objective of this research was to develop an integrated AR-GIS for mapping and capturing underground utilities using a mobile device. To achieve these objectives, a design research approach utilized to develop and evaluate a mobile extended-reality (XR-GIS) application. This research has produced an efficient solution for data collection and sharing among stakeholders in the underground construction industry. The main challenge in creating a reliable and adaptive outdoor AR system is the accurate registration of virtual objects in the real world. Due to the limited accuracy of smartphones, this study used an external Global Positioning System (GPS) devices to reduce positional error. The primary motivation behind this research is to make the construction industry more aware of the benefits of leveraging AR to prevent utility strikes and enhance public safety.
This dissertation fills the gap in the knowledge regarding applying Augmented Reality (AR) in the underground infrastructure mapping. This study’s three research objectives are:
(1) Identify the challenges and barriers facing the underground construction industry when applying AR.
(2) Develop an integrated AR-GIS for mapping and capturing underground utilities using a mobile device.
(3) Evaluate the horizontal accuracy of the captured data used by the AR phone application XR-GIS that has been developed by the author.
ContributorsFenais, Amr (Author) / Ariaratnam, Samuel T (Thesis advisor) / Ayer, Steven K (Committee member) / Kaloush, Kamil (Committee member) / Arizona State University (Publisher)
Created2020
Description
The country is facing infrastructure crises simultaneous with a labor shortage in fields related to construction management and engineering. These challenges necessitate better and quicker preparation of the incoming workforce so they are prepared to take on responsibilities with more skill and efficiency than has been expected previously. Educators can play a key role in equipping the leaders of this upcoming generation to deal with these challenges. If students are expected to graduate with more preparation and expertise, then educators must also adjust the ways in which they teach. There are many ways that these changes can be accomplished, and researchers play a critical role in exploring new classroom techniques and technologies that may improve the way education is delivered. This dissertation focuses on a high-impact emerging technology, augmented reality (AR), as a training mechanism for students that has the potential to play a crucial role in enhancing the way construction education is delivered. First, this research explores what skills and competencies are most frequently reported as critical needs by industry members by thematically coding open-ended responses of construction internship supervisors. Leveraging the results of this data, this research explores the viability of utilizing AR to simulate hands-on training and authentic learning in ways that target these skills and competencies. The research presented in this dissertation consists of a series of subject tests involving custom-developed augmented reality applications. These full-scale, highly interactive construction mixed reality applications are designed to expose students to simulations of high-impact learning experiences but without the recurring costs of physical materials. Student behaviors and performance during these subject tests are thematically coded to reveal student behaviors and perceptions that contribute to learning objectives. The results of this research demonstrate high potential for AR as an educational tool while also suggesting best practices for creating and implementing these types of activities based on surprising and sometimes counterintuitive student behaviors during these AR experiences.
ContributorsMcCord, Kieren (Author) / Ayer, Steven K. (Thesis advisor) / London, Jeremi S. (Committee member) / El Asmar, Mounir (Committee member) / Arizona State University (Publisher)
Created2022