ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
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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.
RQ1: How does the visibility of an instructor in a public speaking video lesson affect students' perception of presence?
RQ2: How does the visibility of an instructor in a public speaking video lesson affect student learning?
RQ3: How do self-explanation (Constructive) and note-taking (Active) types of learning activities affect students' perception of presence compared to passive lessons when presented in a video lesson?
RQ4: How do self-explanation (Constructive) and note-taking (Active) types of learning activities affect student learning compared to passive lessons when presented in a video lesson?
Additionally, the study collected qualitative feedback from participants on their experience in order to improve understanding of how to effectively design lectures for public speaking courses.
Results of the study were unable to statistically distinguish between students assigned to treatments that varied in both modality and level of activity. However, a significant finding of this study is that learning gains and students' perception of instructor presence were positive across all conditions.
The lack of significant differences by treatment indicates that the design attributes at the center of the study may be unnecessary considerations for developing content for online learning. Consequently, the improved performance of participants regardless of their assigned treatment in this study identifies a limitation to the application of Media Equation Theory and the Interactive-Constructive-Active-Passive (ICAP) Framework for designing online learning content for public speaking students as well as identifies two key implications: 1) exposure to an online lesson can increase learning; and 2) exposure to an online lesson can serve as a cost-effective alternative for producing lessons in public speaking courses.
schools, curricula, grades and tests. Unschool practitioners have complete freedom to choose what they want to learn, when, to what level, and for how long. Unschooling families use the World Wide Web to provide a bespoke academic experience at home. This study compares qualitative data collected from questionnaires and semi-structured interviews conducted with 10 unschooling families with quantitative data collected from 5 children within these families using a tracking and monitoring software. The software captured the duration of use, keystrokes, mouseclicks, and screenshots for all programs and websites for 14 days. Children stated they used technology less than 6 hours a day, and parents stated children used them less than 8 hours a day. Quantitative data shows the children use technology at least 10 hours a day, suggesting usage self-reports may not be reliable. The study revealed hardware form factor was the number one determinate of application use. Almost exclusively social media was used on smartphones, internet browsing on tablets, and creative endeavors such as modding, hacking, fan fiction writing, and video game level building all took place exclusively on laptops and desktops. Concurrent use of differing hardware form factors was the norm observed. Participants stated YouTube, Wikipedia and Khan Academy were the websites most used for knowledge gathering. The tracking software verified YouTube and Wikipedia were the most used websites, however when accessed on the PC, those sites were used almost exclusively for video game related purposes. Over 90% of the total PC use was spent on video games. More traditional educational activities were done primarily on tablets and on parent smartphones with parental engagement. Khan Academy was not used by the
participants in the 14 day monitoring period. 90 day web browser logs indicated Khan Academy was used by individuals no more than 3 times in a 90 day period,
demonstrating the inherent risks in relying upon internet usage self-reports without
quantitative software for verification. Unschooling children spent between 30 and 60 hours a week using technology.