Matching Items (11)
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- All Subjects: Education
- Creators: Buss, Ray R
- Member of: ASU Electronic Theses and Dissertations
- Status: Published
Description
Advancements in mobile technologies have significantly enhanced the capabilities of mobile devices to serve as powerful platforms for sensing, processing, and visualization. Surges in the sensing technology and the abundance of data have enabled the use of these portable devices for real-time data analysis and decision-making in digital signal processing (DSP) applications. Most of the current efforts in DSP education focus on building tools to facilitate understanding of the mathematical principles. However, there is a disconnect between real-world data processing problems and the material presented in a DSP course. Sophisticated mobile interfaces and apps can potentially play a crucial role in providing a hands-on-experience with modern DSP applications to students. In this work, a new paradigm of DSP learning is explored by building an interactive easy-to-use health monitoring application for use in DSP courses. This is motivated by the increasing commercial interest in employing mobile phones for real-time health monitoring tasks. The idea is to exploit the computational abilities of the Android platform to build m-Health modules with sensor interfaces. In particular, appropriate sensing modalities have been identified, and a suite of software functionalities have been developed. Within the existing framework of the AJDSP app, a graphical programming environment, interfaces to on-board and external sensor hardware have also been developed to acquire and process physiological data. The set of sensor signals that can be monitored include electrocardiogram (ECG), photoplethysmogram (PPG), accelerometer signal, and galvanic skin response (GSR). The proposed m-Health modules can be used to estimate parameters such as heart rate, oxygen saturation, step count, and heart rate variability. A set of laboratory exercises have been designed to demonstrate the use of these modules in DSP courses. The app was evaluated through several workshops involving graduate and undergraduate students in signal processing majors at Arizona State University. The usefulness of the software modules in enhancing student understanding of signals, sensors and DSP systems were analyzed. Student opinions about the app and the proposed m-health modules evidenced the merits of integrating tools for mobile sensing and processing in a DSP curriculum, and familiarizing students with challenges in modern data-driven applications.
ContributorsRajan, Deepta (Author) / Spanias, Andreas (Thesis advisor) / Frakes, David (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2013
High school students' perceptions of teaching and their intention to choose teaching as a profession
Description
This study was conducted to (a) explore high achieving high school students' perceptions of the teaching profession, (b) examine the influence of these perceptions on intentions to teach, and (c) test a recruitment suite of tools to determine the effectiveness of recruitment messaging and strategies. The Theory of Planned Behavior (TPB) served as the theoretical framework for this study. Using the TPB allowed examination of students' behavioral, normative, and control beliefs as well as their attitudes, subjective norms, and efficacy and how those components affected intentions to teach. Participants included high school seniors in the top 20% of their class. A mixed methods approach was employed to identify how the characteristics that students value when considering a profession were aligned with those they believed to be true about the teaching profession. Additionally mixing methods allowed for a more thorough exploration of the matter and an in-depth depiction of perceptions and intentions to teach. Results from a confirmatory path analysis showed students' perceived behavioral control, a measure of efficacy, and attitudes toward teaching were predictive of intention to teach and accounted for 25% of the variation in intention to teach scores. A series of exploratory structural equation models was developed to examine additional paths that might be useful in understanding students' intention to teach. Three additional, important paths were found among TPB variables that accounted for an additional 14% of the variation in intention scores. Additionally, these paths had implications for recruitment practice. Five themes emerged from the qualitative data--status, societal importance, influences of important others, teaching as a backup option, and barriers. The discussion focused on implications for recruitment practice and research, limitations, and conclusions. The following conclusions were drawn: (a) students must be provided with knowledge about the teaching profession to overcome stereotypical beliefs, (b) recruitment must begin much earlier, (c) parents must be better informed about teaching, (d) use of a longer recruitment process with multiple touch points must be used to inform and inspire students, and (e) students must be provided with practice teaching opportunities and systematic observational opportunities, which can foster increased efficacy for teaching.
ContributorsCruz, Crystal (Author) / Buss, Ray R (Thesis advisor) / Barnett, Joshua (Committee member) / Bentz, Matthew (Committee member) / Arizona State University (Publisher)
Created2013
Description
In any instructional situation, the instructor's goal is to maximize the learning attained by students. Drawing on the adage, 'we learn best what we have taught,' this action research project was conducted to examine whether students, in fact, learned college algebra material better if they taught it to their peers. The teaching-to-learn process was conducted in the following way. The instructor-researcher met with individual students and taught a college algebra topic to a student who served as the leader of a group of four students. At the next step, the student who originally learned the material from the instructor met with three other students in a small group session and taught the material to them to prepare an in-class presentation. Students in these small group sessions discussed how best to present the material, anticipated questions, and prepared a presentation to be shared with their classmates. The small group then taught the material to classmates during an in-class review session prior to unit examinations. Quantitative and qualitative data were gathered. Quantitative data consisted of pre- and post-test scores on four college algebra unit examinations. In addition, scores from Likert-scale items on an end-of-semester questionnaire that assessed the effectiveness of the teaching-to-learn process and attitudes toward the process were obtained. Qualitative data consisted of field notes from observations of selected small group sessions and in-class presentations. Additional qualitative data included responses to open-ended questions on the end-of-semester questionnaire and responses to interview items posed to groups of students. Results showed the quantitative data did not support the hypothesis that material, which was taught, was better learned than other material. Nevertheless, qualitative data indicated students were engaged in the material, had a deeper understanding of the material, and were more confident about it as a result of their participation in the teaching-to-learn process. Students also viewed the teaching-to-learn process as being effective and they had positive attitudes toward the teaching-to-learn process. Discussion focused on how engagement, deeper understanding and confidence interacted with one another to increase student learning. Lessons learned, implications for practice, and implications for further action research were also discussed.
ContributorsNicoloff, Stephen J (Author) / Buss, Ray R (Thesis advisor) / Zambo, Ronald (Committee member) / Shaw, Phyllis J (Committee member) / Arizona State University (Publisher)
Created2011
Description
Implementation of a Multi-tiered System of Support (MTSS) has proven to be a ‘big hairy audacious goal’ within the literature and applied settings. Positive Behavior Intervention and Support (PBIS) has utilized a similar framework and was represented under the MTSS umbrella. If implemented with fidelity, both MTSS and PBIS have been shown to have positive outcomes for learners, staff members, and school systems. To implement one component of PBIS, a coaching procedure which consisted of instruction, modeling, rehearsal, and feedback was provided for three middle school teachers. Two Tier 1 PBIS classroom management practices were the focus of the coaching intervention—opportunities to respond and encouragement of appropriate behavior through positive points of contact. This study utilized a mixed methods approach which incorporated a single-subject design, specifically a nonconcurrent multiple baseline design across participants, to assess the effects of the coaching intervention on the implementation of the two classroom management practices, student on-task behavior, and the social validity of the intervention. Findings indicated an increase in both practices as well as an increase in student on-task behavior, from baseline to intervention phases of the study. Additionally, all participants reported high levels of social validity of the coaching intervention. The discussion was focused on triangulation of the quantitative and qualitative data, which indicated these findings were complementary. Connections of the findings to the research literature, implications for future practice and research, limitations, and conclusions have been provided.
ContributorsTurner, Katie M (Author) / Buss, Ray R (Thesis advisor) / Mathur, Sarup (Committee member) / Wood, Chandalee (Committee member) / Arizona State University (Publisher)
Created2023
Description
Realistic lighting is important to improve immersion and make mixed reality applications seem more plausible. To properly blend the AR objects in the real scene, it is important to study the lighting of the environment. The existing illuminationframeworks proposed by Google’s ARCore (Google’s Augmented Reality Software Development Kit) and Apple’s ARKit (Apple’s Augmented Reality Software Development Kit) are computationally expensive and have very slow refresh rates, which make them incompatible for dynamic environments and low-end mobile devices. Recently, there have been other illumination estimation frameworks such as GLEAM, Xihe, which aim at providing better illumination with faster refresh rates. GLEAM is an illumination estimation framework that understands the real scene by collecting pixel data from a reflecting spherical light probe. GLEAM uses this data to form environment cubemaps which are later mapped onto a reflection probe to generate illumination for AR objects.
It is noticed that from a single viewpoint only one half of the light probe can be observed at a time which does not give complete information about the environment. This leads to the idea of having a multi-viewpoint estimation for better performance. This thesis work analyzes the multi-viewpoint capabilities of AR illumination frameworks that use physical light probes to understand the environment. The current work builds networking using TCP and UDP protocols on GLEAM. This thesis work also documents how processor load sharing has been done while networking devices and how that benefits the performance of GLEAM on mobile devices. Some enhancements using multi-threading have also been made to the already existing GLEAM model to improve its performance.
ContributorsGurram, Sahithi (Author) / LiKamWa, Robert (Thesis advisor) / Jayasuriya, Suren (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2022
Description
A core reform area of President Obama’s Race to the Top (RTT) framework, the Statewide Longitudinal Data Systems (SLDS) program, offered funding to states for the development of their own data systems. As a result, Arizona received funding to build a longitudinal student data system. However the targeted audience—teachers—needed training to move from a state of ‘data rich but information poor’ to one of developing actionable knowledge.
In this mixed methods action research study, six teachers from three schools participated in job-embedded data-informed decision making (DIDM) and root cause analysis (RCA) professional development to improve their abilities to employ DIDM and RCA strategies to determine root causes for student achievement gaps. This study was based on the theories of situated learning, specifically the concept of communities of practice (CoP), change theory, and the Concerns-Based Adoption Model (CBAM). Because teachers comprise most of the workforce in a district, it is important to encourage them to shift from working in isolation to effectively implement and sustain changes in practice. To address this concern, an online wiki provided an avenue for participants to interact, reflect, and share experiences across schools as they engaged in the application of new learning.
The results from this ten-week study indicated an increase in participant readiness levels to: (a) use and manage data sources, (b) apply strategies, and (c) collaborate with others to solve problems of practice. Results also showed that participants engaged in collaborative conversation using the online wiki when they wanted to share concerns or gain further information to make decisions. The online collaboration results indicated higher levels of online discussion occurred when participants were attempting to solve a problem of practice during the learning process.
Overall, participants (a) used collaborative strategies to seek, create, and/or utilize multiple sources of data, not just student learning data, (b) worked through implementation challenges when making changes in practice, and (c) sought further types of data collection to inform their decisions about root causes. Implications from this study warrant further investigation into the use of an online CoP as an avenue for increasing teacher collaboration across schools.
In this mixed methods action research study, six teachers from three schools participated in job-embedded data-informed decision making (DIDM) and root cause analysis (RCA) professional development to improve their abilities to employ DIDM and RCA strategies to determine root causes for student achievement gaps. This study was based on the theories of situated learning, specifically the concept of communities of practice (CoP), change theory, and the Concerns-Based Adoption Model (CBAM). Because teachers comprise most of the workforce in a district, it is important to encourage them to shift from working in isolation to effectively implement and sustain changes in practice. To address this concern, an online wiki provided an avenue for participants to interact, reflect, and share experiences across schools as they engaged in the application of new learning.
The results from this ten-week study indicated an increase in participant readiness levels to: (a) use and manage data sources, (b) apply strategies, and (c) collaborate with others to solve problems of practice. Results also showed that participants engaged in collaborative conversation using the online wiki when they wanted to share concerns or gain further information to make decisions. The online collaboration results indicated higher levels of online discussion occurred when participants were attempting to solve a problem of practice during the learning process.
Overall, participants (a) used collaborative strategies to seek, create, and/or utilize multiple sources of data, not just student learning data, (b) worked through implementation challenges when making changes in practice, and (c) sought further types of data collection to inform their decisions about root causes. Implications from this study warrant further investigation into the use of an online CoP as an avenue for increasing teacher collaboration across schools.
ContributorsWann, Patti Ann (Author) / Marley, Scott C. (Thesis advisor) / Buss, Ray R (Committee member) / Ewbank, Ann D (Committee member) / Arizona State University (Publisher)
Created2016
Description
Mary Lou Fulton Teachers College at Arizona State University recently adopted a "technology infusion" approach to prepare teacher candidates (TC) to integrate technology into their instruction and meet the International Society for Technology in Education Standards for Teachers (ISTE Standards*T) by infusing technology integration approaches into methods courses. At the onset of the technology infusion approach, one important ISTE Standard-T was neglected in the curriculum--that is, digital citizenship (DC), i.e., the responsible, legal, and ethical use of technology. To address this problem of practice, a suite of teaching materials and support services was created, the Technology Infusion Support System (TISS), to help instructors effectively teach DC. The suite consisted of four online modules on essential DC topics including copyright/fair use, digital footprint/social media, acceptable use policies, and responsible student behavior. The support component consisted of ongoing just-in-time support from a technology integration specialist, an instructor's guide, and a resource folder.
This mixed methods action research study was conducted to examine: DC instruction by those who used the TISS and the influence of DC instruction on TC's intention to promote and model DC in their future classrooms. With respect to the second objective, the Theory of Planned Behavior (TPB) guided study efforts.
Participants included teacher education faculty members who taught DC in technology-infused methods courses, their students, and the technology infusion specialists who provided ongoing support to instructors throughout the duration of the study. Data gathered included survey data, observations, focus group interviews, instructor interviews, and researcher journal entries. Results suggested the TISS was a useful intervention in a college using a technology infusion approach. Course instructors provided consistent instruction on a topic outside of their area of expertise. Further, there was a significant increase in the students' intention to promote and model DC in their future classrooms. The discussion focuses on explaining: the effectiveness of DC instruction; how instruction in DC changes students' intentions to promote and model DC; and the usefulness of the TPB model in understanding how attitudes toward DC, and perceived behavioral control, i.e., efficacy, influence intention to promote and model DC.
This mixed methods action research study was conducted to examine: DC instruction by those who used the TISS and the influence of DC instruction on TC's intention to promote and model DC in their future classrooms. With respect to the second objective, the Theory of Planned Behavior (TPB) guided study efforts.
Participants included teacher education faculty members who taught DC in technology-infused methods courses, their students, and the technology infusion specialists who provided ongoing support to instructors throughout the duration of the study. Data gathered included survey data, observations, focus group interviews, instructor interviews, and researcher journal entries. Results suggested the TISS was a useful intervention in a college using a technology infusion approach. Course instructors provided consistent instruction on a topic outside of their area of expertise. Further, there was a significant increase in the students' intention to promote and model DC in their future classrooms. The discussion focuses on explaining: the effectiveness of DC instruction; how instruction in DC changes students' intentions to promote and model DC; and the usefulness of the TPB model in understanding how attitudes toward DC, and perceived behavioral control, i.e., efficacy, influence intention to promote and model DC.
ContributorsLindsey, LeeAnn (Author) / Buss, Ray R (Thesis advisor) / Zucker, Stanley (Committee member) / Fritschi, Jennifer (Committee member) / Arizona State University (Publisher)
Created2015
Description
Computational thinking, the fundamental way of thinking in computer science, including information sourcing and problem solving behind programming, is considered vital to children who live in a digital era. Most of current educational games designed to teach children about coding either rely on external curricular materials or are too complicated to work well with young children. In this thesis project, Guardy, an iOS tower defense game, was developed to help children over 8 years old learn about and practice using basic concepts in programming. The game is built with the SpriteKit, a graphics rendering and animation infrastructure in Apple’s integrated development environment Xcode. It simplifies switching among different game scenes and animating game sprites in the development. In a typical game, a sequence of operations is arranged by players to destroy incoming enemy minions. Basic coding concepts like looping, sequencing, conditionals, and classification are integrated in different levels. In later levels, players are required to type in commands and put them in an order to keep playing the game. To reduce the difficulty of the usability testing, a method combining questionnaires and observation was conducted with two groups of college students who either have no programming experience or are familiar with coding. The results show that Guardy has the potential to help children learn programming and practice computational thinking.
ContributorsWang, Xiaoxiao (Author) / Nelson, Brian C. (Thesis advisor) / Turaga, Pavan (Committee member) / Walker, Erin (Committee member) / Arizona State University (Publisher)
Created2017
Description
As higher education embraces innovative educational models, support for the faculty members who must carry them out remains a vital ingredient for success. Despite this need, many institutions adopt innovations such as blended learning for all of the benefits afforded, with minimal consideration to meaningfully equip professors teaching these courses. “Faculty Learning Communities” (FLC’s) provide a powerful model of supporting and equipping faculty in their teaching practice. Nevertheless, ongoing and collaborative faculty development was historically unavailable to professors teaching undergraduate blended courses at Lancaster Bible College. Thus, the purpose of this qualitative action research study was to examine the ways that faculty perceived an FLC during the design and facilitation of a blended course. The Community of Inquiry (CoI) framework guided the design and facilitation of the FLC in fall 2018, as well as providing insight into measuring how learning communities formed during the FLC and while participants taught their courses. This FLC model blended learning for participants by occurring four times on campus, with online sessions following each in-person meeting. The faculty developer provided resources and support as faculty collaborated in designing their blended courses for the spring 2019 semester. Faculty perceptions of support were gathered in a focus group at the end of fall semester. During the spring 2019 semester, the faculty developer observed both on-campus and online sessions of the blended courses and led a second focus group about faculty perceptions of effectiveness and support. Qualitative data sets included video recordings of the FLC, focus groups, and class observations, field notes, and screenshots of online environments during the FLC and courses. Findings demonstrated substantial evidence of CoI measures of social presence, cognitive presence, and teaching presence were present in both the FLC and participants’ courses. These results affirmed the CoI framework provided a meaningful platform for faculty development. Additionally, participants perceived the FLC as supportive for their blended teaching practices, making direct mentions of support and indicating belief that broader institutional change be implemented toward this end to enhance faculty development opportunities. Limitations and implications of the study, as well as desired future research were explored.
ContributorsHarbin, Justin (Author) / Rotheram-Fuller, Erin (Thesis advisor) / Foulger, Teresa (Committee member) / Clawson, Penny (Committee member) / Buss, Ray R (Committee member) / Arizona State University (Publisher)
Created2019
Description
The United States is facing an unprecedented teacher shortage. With many studies estimating that 17-33% of teachers leave the profession within their first five years of starting a career, something needs to change to keep new teachers in the classroom. This study evaluates the effectiveness of peer observation as a learning tool to supplement the training of preservice teachers on an elementary campus. Observational learning theory and adult learning theory created the lens through which peer observations were implemented and evaluated in this study. Specifically, this study aimed to answer the following research questions: (a) How do conversations about teaching practices evolve over time between the preservice teacher participant and the researcher within the context of discussions following peer observations? and (b) How do peer observations influence the teaching practices of preservice teachers?
This study found that the preservice teachers who participated in the peer observation intervention improved in their teaching practices over the course of the semester, valued the experience of peer observation visits, and increased their ability to talk about teaching and learning in more sophisticated and complex terms.
This study found that the preservice teachers who participated in the peer observation intervention improved in their teaching practices over the course of the semester, valued the experience of peer observation visits, and increased their ability to talk about teaching and learning in more sophisticated and complex terms.
ContributorsSchenk, Matthew D (Author) / Bertrand, Melanie (Thesis advisor) / Buss, Ray R (Committee member) / Hacker, Stacie C (Committee member) / Arizona State University (Publisher)
Created2016