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- Genre: Doctoral Dissertation
Description
The current study is a follow up to a previous evaluation of Believe It!, an internet-based career development program for adolescent girls. This study attempted to extend the program's effectiveness by manipulating animated agent appearance based on literature suggesting that agent appearance has implications for human-computer program interface. Participants included 52 Latinas (ages 11 to 14) randomly assigned to view one of two versions of the revised career program. Each version contained identical content but included animated agents designed to represent different ethnicities. Pre and post-treatment scores for three career belief measures and an occupational stereotype measure were analyzed using a MANCOVA. The results were not significant and further analyses revealed that the results were confounded by complications with the perceived ethnicity of the animated agents. Despite a lack of significance the results provide enriching information about Latina adolescent perception of ethnicity.
ContributorsHardy, Amanda (Author) / Horan, John (Thesis advisor) / Atkinson, Robert (Committee member) / Homer, Judith (Committee member) / Arizona State University (Publisher)
Created2011
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
This quantitative, quasi-experimental study examined the effectiveness of three types of online guided-practice activities designed to increase learning of visual art concepts, the color concepts of hue, tint, shade, value, and neutral colors in particular, among fifth grade students in a large school district in the southwestern United States. The study's results indicated that, when students were given a limited amount of time to engage in practice activities, there was no statistically significant difference among the three types of guided practice and the control group. What was effective, however, was the instructional component of this study's instruments.
ContributorsDelahunt, Michael (Author) / Erickson, Mary (Thesis advisor) / Atkinson, Robert (Committee member) / Young, Bernard (Committee member) / Arizona State University (Publisher)
Created2014
Description
This experimental pretest-posttest design study extended the field of media literacy research to pre-professionals in the entertainment industry. Specifically, it investigated the effects of lecture, film screenings and focused discussions on media literacy general awareness, comprehension, critical thinking and attitudes about filmmakers' responsibility after a unit of instruction on media violence designed specifically for university film majors.
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.
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.
ContributorsTrotta, Laurie (Author) / Savenye, Wilhelmina (Thesis advisor) / Atkinson, Robert (Committee member) / Bitter, Gary (Committee member) / Arizona State University (Publisher)
Created2014
Description
This study aims to uncover whether English Central, an online English as a Second Language tool, improves speaking proficiency for undergraduate students with developing English skills. Eighty-three advanced English language learners from the American English and Culture Program at Arizona State University were randomly assigned to one of three conditions: the use of English Central with a learner-control, shared-control, and a no-treatment condition. The two treatment groups were assigned approximately 14.7 hours of online instruction. The relative impact of each of the three conditions was assessed using two measures. First, the Pearson Versant Test (www.versanttest.com), a well-established English-as-a-second-language speaking test, was administered to all of the participants as a pre- and post-test measure. Second, students were given a post-treatment questionnaire that measured their motivation in using online instruction in general, and English Central specifically. Since a significant teacher effect was found, teachers involved in this study were also interviewed in order to ascertain their attitude toward English Central as a homework tool. Learner outcomes were significantly different between the shared and learner conditions. Student motivation was predictive of learning outcomes. Subjects in the shared condition outperformed those in the learner condition. Furthermore, those in the shared condition scored higher than the control condition; however, this result did not reach statistical significance. Results of the follow-up teacher survey revealed that while a teacher's view of the tool (positive or negative), was not a predictor of student success, teacher presentation of the tool may lead to a significant impact on student learning outcomes.
ContributorsDixon, Shane Y. (Shane Yahlu) (Author) / Atkinson, Robert (Thesis advisor) / Savenye, Wilhelmina (Committee member) / Nelson, Brian (Committee member) / Arizona State University (Publisher)
Created2015
Description
The purpose of this instructional design and development study was to describe, evaluate and improve the instructional design process and the work of interdisciplinary design teams. A National Science Foundation (NSF) funded, Transforming Undergraduate Education in Science (TUES) project was the foundation for this study. The project developed new curriculum materials to teach learning content in unsaturated soils in undergraduate geotechnical engineering classes, a subset of the civil engineering. The study describes the instructional design (ID) processes employed by the team members as they assess the need, develop the materials, disseminate the learning unit, and evaluate its effectiveness, along with the impact the instructional design process played in the success of the learning materials with regard to student achievement and faculty and student attitudes. Learning data were collected from undergraduate geotechnical engineering classes from eight partner universities across the country and Puerto Rico over three phases of implementation. Data were collected from students and faculty that included pretest/posttest scores and attitudinal survey questions. The findings indicated a significant growth in the learning with the students of the faculty who were provided all learning materials. The findings also indicated an overall faculty and student satisfaction with the instructional materials. Observational and anecdotal data were also collected in the form of team meeting notes, personal observations, interviews and design logs. Findings of these data indicated a preference with working on an interdisciplinary instructional design team. All these data assisted in the analysis of the ID process, providing a basis for descriptive and inferential data used to provide suggestions for improving the ID process and the work of interdisciplinary instructional design teams.
ContributorsOrnelas, Arthur (Author) / Savenye, Wilhelmina C. (Thesis advisor) / Atkinson, Robert (Committee member) / Bitter, Gary (Committee member) / Houston, Sandra (Committee member) / Arizona State University (Publisher)
Created2015
Description
Concerted efforts have been made within teacher preparation programs to integrate teaching with technology into the curriculum. Unfortunately, these efforts continue to fall short as teachers' application of educational technology is unsophisticated and not well integrated. The most prevalent approaches to integrating technology tend to ignore pedagogy and content and assume that the technology integration knowledge for all contexts is the same. One theoretical framework that does acknowledge content, pedagogy, and context in conjunction with technology is Technological Pedagogical Content Knowledge (TPACK) and was the lens through which teacher development was measured and interpreted in this study. The purpose of this study was to investigate graduate teacher education students' knowledge and practice of teaching with technology as well as how that knowledge and practice changes after participation in an educational technology course. This study used a mixed-methods sequential explanatory research design in which both quantitative and qualitative data were gathered from 82 participants. TPACK pre- and postcourse surveys were administered to a treatment group enrolled in an educational technology course and to a nonequivalent control group enrolled in a learning theories course. Additionally, pre- and postcourse lesson plans were collected from the treatment group. Select treatment group participants also participated in phone interviews. Analyses compared pre- and post-course survey response differences within and between the treatment and control groups. Pre- and postlesson plan rubric score differences were compared within the treatment group. Quantitative text analyses were performed on the collected lesson plans. Open and axial coding procedures were followed to analyze interview transcripts. The results of the study revealed five significant findings: 1) graduate students entering an educational technology course reported lower ability in constructs related to teaching with technology than in constructs related to teaching in a traditional setting; 2) TPACK was malleable and TPACK instruments were sensitive to that malleability; 3) significant gains in reported and demonstrated TPACK constructs were found after participating in an educational technology course; 4) TPACK construct ability levels vary significantly by participant characteristics; and 5) influences on teaching knowledge and practice range from internet resources, to mentor teachers, and to standardized curriculum packages.
ContributorsSabo, Kent (Author) / Atkinson, Robert (Thesis advisor) / Archambault, Leanna (Committee member) / Savenye, Wilhelmina (Committee member) / Arizona State University (Publisher)
Created2013
Description
ABSTRACT The phenomenon of cyberbullying has captured the attention of educators and researchers alike as it has been associated with multiple aversive outcomes including suicide. Young people today have easy access to computer mediated communication (CMC) and frequently use it to harass one another -- a practice that many researchers have equated to cyberbullying. However, there is great disagreement among researchers whether intentional harmful actions carried out by way of CMC constitute cyberbullying, and some authors have argued that "cyber-aggression" is a more accurate term to describe this phenomenon. Disagreement in terms of cyberbullying's definition and methodological inconsistencies including choice of questionnaire items has resulted in highly variable results across cyberbullying studies. Researchers are in agreement however, that cyber and traditional forms of aggression are closely related phenomena, and have suggested that they may be extensions of one another. This research developed a comprehensive set of items to span cyber-aggression's content domain in order to 1) fully address all types of cyber-aggression, and 2) assess the interrelated nature of cyber and traditional aggression. These items were administered to 553 middle school students located in a central Illinois school district. Results from confirmatory factor analyses suggested that cyber-aggression is best conceptualized as integrated with traditional aggression, and that cyber and traditional aggression share two dimensions: direct-verbal and relational aggression. Additionally, results indicated that all forms of aggression are a function of general aggressive tendencies. This research identified two synthesized models combining cyber and traditional aggression into a shared framework that demonstrated excellent fit to the item data.
ContributorsLerner, David (Author) / Green, Samuel B (Thesis advisor) / Caterino, Linda (Committee member) / Atkinson, Robert (Committee member) / Nakagawa, Kathryn (Committee member) / Arizona State University (Publisher)
Created2013
Description
Recent legislation allowing educational agencies to use Response to Intervention (RTI) in determining whether a child has a specific learning disability, coupled with a focus on large-scale testing and accountability resulted in the increasing use of curriculum based measurement (CBM) as a tool for understanding students' progress towards state standards, particularly in reading through the use of oral reading fluency measures. Extensive evidence of oral reading fluency's predictability of reading comprehension exists, but little research on differential effects across racial, gender, and socioeconomic subgroups is available. This study investigated racial, gender, and socioeconomic bias in DIBELS Oral Reading Fluency (DIBELS ORF) probes predictive and concurrent relationship with MAP reading comprehension scores for African American and Caucasian students. Participants were 834 second through fifth grade students in a school district located in a southeastern US state. The dataset consisted of student fall and spring DIBELS ORF scores and spring MAP reading comprehension scores. Concurrent correlation results between spring DIBELS ORF and MAP reading comprehension scores were moderate to large and statistically significant across all grades and demographic groups; however, correlations between fall DIBELS ORF and MAP reading comprehension scores were generally weak. Stepwise multiple regression analyses were used to examine the best variable, or combination of variables, in predicting MAP reading comprehension scores. Models differed for each grade level; however, spring DIBELS ORF scores were always included, whether alone or in combination with demographic variables, in the best prediction model. Potthoff's procedure was used to simultaneously test for slope and intercept differences among regression equations to determine if DIBELS ORF scores from fall and spring differentially predicted MAP reading comprehension scores across demographic groups. Nine of 24 simultaneous contrasts demonstrated a significant effect; seven were related to race, one was related to gender, and one was related to socioeconomic status. Racial bias in predicting MAP reading comprehension performance from spring DIBELS ORF was found. Differential prediction among gender and SES groups was not consistent indicating little to no practical significance. Results are discussed in the context of practical implications of differential validity, both predictive and concurrent, and potential impact on disproportionality.
ContributorsAdkins, Jill (Author) / Caterino, Linda C. (Thesis advisor) / Atkinson, Robert (Committee member) / Nakagawa, Kathryn (Committee member) / Arizona State University (Publisher)
Created2013
Description
Temporal data are increasingly prevalent and important in analytics. Time series (TS) data are chronological sequences of observations and an important class of temporal data. Fields such as medicine, finance, learning science and multimedia naturally generate TS data. Each series provide a high-dimensional data vector that challenges the learning of the relevant patterns This dissertation proposes TS representations and methods for supervised TS analysis. The approaches combine new representations that handle translations and dilations of patterns with bag-of-features strategies and tree-based ensemble learning. This provides flexibility in handling time-warped patterns in a computationally efficient way. The ensemble learners provide a classification framework that can handle high-dimensional feature spaces, multiple classes and interaction between features. The proposed representations are useful for classification and interpretation of the TS data of varying complexity. The first contribution handles the problem of time warping with a feature-based approach. An interval selection and local feature extraction strategy is proposed to learn a bag-of-features representation. This is distinctly different from common similarity-based time warping. This allows for additional features (such as pattern location) to be easily integrated into the models. The learners have the capability to account for the temporal information through the recursive partitioning method. The second contribution focuses on the comprehensibility of the models. A new representation is integrated with local feature importance measures from tree-based ensembles, to diagnose and interpret time intervals that are important to the model. Multivariate time series (MTS) are especially challenging because the input consists of a collection of TS and both features within TS and interactions between TS can be important to models. Another contribution uses a different representation to produce computationally efficient strategies that learn a symbolic representation for MTS. Relationships between the multiple TS, nominal and missing values are handled with tree-based learners. Applications such as speech recognition, medical diagnosis and gesture recognition are used to illustrate the methods. Experimental results show that the TS representations and methods provide better results than competitive methods on a comprehensive collection of benchmark datasets. Moreover, the proposed approaches naturally provide solutions to similarity analysis, predictive pattern discovery and feature selection.
ContributorsBaydogan, Mustafa Gokce (Author) / Runger, George C. (Thesis advisor) / Atkinson, Robert (Committee member) / Gel, Esma (Committee member) / Pan, Rong (Committee member) / Arizona State University (Publisher)
Created2012