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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- All Subjects: Education
- Creators: Savenye, Wilhelmina
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.
Inherent in this process was an attempt to create a valid instrument for measuring media literacy awareness, comprehension, critical thinking and attitudes about social responsibilities among future media makers. Items were presented from the perspective of a creator of entertainment products. A demographic survey was used to collect data on past media literacy education and media viewing habits of this niche group, while evaluation data provided insights into the thought processes of students as they considered issues of media literacy -- sometimes for the first time -- in their own lives, in the lives of others, and in their future careers. Factorial analysis was used to test the effectiveness of the instrument. Analyses of variance were employed to measure pretest-posttest differences in treatment groups and Paired Samples T-tests to measure differences across the entire sample. Responses to open-ended evaluation questions were analyzed and coded and presented by item.
Results showed positive changes in comprehension and filmmaker responsibility attitudes across treatment groups and significant positive differences in media awareness and critical thinking among students across treatment groups. Results did not align with treatment groups: the students who watched film clips and participated in focused discussions gained knowledge but did not achieve significantly greater mean scores than those who did not participate in these treatments.
Findings support those in the research literature that holistic media literacy instruction, which incorporates aspects of creating as well as consuming entertainment products, can open new pathways of criticality about media issues. Media should be presented in context and with direction from the instructor. In eight evaluation items, some 90% of the young media makers agreed that the media violence lesson influenced their thinking and that they would consider material taught in this lesson when creating future media products.
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.
The study consisted of four conditions: (a) an attitudinal and demographic pre-survey, (b) five mobile instructional modules, (c) mobile quizzes, and (d) an attitudinal post-survey. A total of 311 participants in higher education were enrolled in the study. One hundred thirty-seven participants completed all four conditions of the study. Participants were randomly assigned to experimental conditions in a 2 x 2 factorial design. The levels of the first factor, distribution of instructional content, were: once-per-day and once-per-week. The levels of the second factor, testing, were: a quiz after each module plus a comprehensive quiz and a single comprehensive quiz after all instruction. The dependent variable was learning outcomes in the form of quiz-score results. Attitudinal survey results were analyzed using Principal Axis Factoring to reveal three components, (a) student perceptions about the use of mobile devices in education,
(b) student perceptions about instructors’ beliefs for mobile devices for learning, and (c) student perceptions about the use of mobile devices post-instruction.
The results revealed several findings. There was no significant effect for type of delivery of instruction in a one-way ANOVA. There was a significant effect for testing in a one-way ANOVA There were no main effects of delivery and testing in a 2 x 2 factorial design and there was no main interaction effect, and there was a significant effect of testing on final quiz scores controlling for technical beliefs in a 2 x 2 ANCOVA. The significant difference in testing was contradictory to some literature.
Ownership of personal mobile devices in persons aged 18–29 is practically all-inclusive. Thus, future research on student attitudes and the implementation of personal smartphones for microlearning and testing is still needed to develop and integrate mobile-ready content for higher education.