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The relationship between parent and child acculturation gaps and the child's well-being for Asian American families, with the child's perceived family conflict as a potential mediating variable were examined in this study. In addition to linear relationships of acculturation gaps, curvilinear relationships were also examined. The sample consisted of 165 first or second generation Asian Americans, aged between 18 to 22. Results indicated that native culture gap is predictive of participants' self-report of depression, and family conflict did function as a mediator to the relationship between native culture gap and depression. The curvilinear relationship between acculturation gaps and well-being was not supported by the results of the study. Further implications and future directions are discussed.
ContributorsShi, Yue (Author) / Tracey, Terence (Thesis advisor) / Homer, Judith (Committee member) / Atkinson, Robert (Committee member) / Arizona State University (Publisher)
Created2015
Description
Computational thinking, the creative thought process behind algorithmic design and programming, is a crucial introductory skill for both computer scientists and the population in general. In this thesis I perform an investigation into introductory computer science education in the United States and find that computational thinking is not effectively taught at either the high school or the college level. To remedy this, I present a new educational system intended to teach computational thinking called Genost. Genost consists of a software tool and a curriculum based on teaching computational thinking through fundamental programming structures and algorithm design. Genost's software design is informed by a review of eight major computer science educational software systems. Genost's curriculum is informed by a review of major literature on computational thinking. In two educational tests of Genost utilizing both college and high school students, Genost was shown to significantly increase computational thinking ability with a large effect size.
ContributorsWalliman, Garret (Author) / Atkinson, Robert (Thesis advisor) / Chen, Yinong (Thesis advisor) / Lee, Yann-Hang (Committee member) / Arizona State University (Publisher)
Created2015
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
Description
With the unveiling of the National Educational Technology Plan 2010, both preservice and inservice K12 teachers in the United States are expected to create a classroom environment that fosters the creation of digital citizens. However, it is unclear whether or not teacher education programs build this direct instruction, or any other method of introducing students to the National Education Technology Standards (NETS), "a standard of excellence and best practices in learning, teaching and leading with technology in education," into their curriculum (International Society for Technology in Education, 2012). As with most teaching skills, the NETS and standards-based technology integration must be learned through exposure during the teacher preparation curriculum, either through modeling, direct instruction or assignments constructed to encourage standards-based technology integration. This study attempted to determine the extent to which preservice teachers at Arizona State University (ASU) enrolled in the Mary Lou Fulton Teachers College (MLFTC) can recognize the National Education Technology Standards (NETS) published by the International Society for Technology in Education (ISTE) and to what extent preservice teachers are exposed to technology integration in accordance with the NETS-T standards in their preparation curriculum in order to answer the questions of whether or not teacher education curriculum provides students an opportunity to learn and apply the NETS-T and if preservice teachers in core teacher preparation program courses that include objectives that integrate technology are more likely to be able to identify NETS-T standards than those in courses that do not include these elements In order to answer these questions, a mixed-method design study was utilized to gather data from an electronic survey, one-on-one interviews with students, faculty, and administrators, and document analysis of core course objectives and curriculum goals in the teacher certification program at ASU. The data was analyzed in order to determine the relationship between the preservice teachers, the NETS-T standards, and the role technology plays in the curriculum of the teacher preparation program. Results of the analysis indicate that preservice teachers have a minimum NETS-T awareness at the Literacy level, indicating that they can use technology skills when prompted and explore technology independently.
ContributorsLewis, Carrie L (Author) / Nelson, Brian (Thesis advisor) / Archambault, Leanna (Thesis advisor) / Savenye, Wilhelmenia (Committee member) / Atkinson, Robert (Committee member) / Arizona State University (Publisher)
Created2013
Description
The purpose of this survey study was to collect data from pre-K-12 educators in the U.S. regarding their perceptions of the purpose, conceptions, use, impact, and results of educational research. The survey tool was based on existing questionnaires and case studies in the literature, as well as newly developed items. 3,908 educators in a database developed over 10+ years at the world's largest education company were sent a recruiting email; 400 elementary and secondary teachers in the final sample completed the online survey containing 48 questions over a three-week deployment period in the spring of 2013. Results indicated that overall teachers believe educational research is important, that the most important purpose of research is to increase effectiveness of classroom practice, yet research is not frequently sought out during the course of practice. Teachers perceive results in research journals as the most trustworthy yet also perceive research journals the most difficult to access (relying second-most often for research via in-service trainings). These findings have implications for teachers, administrators, policy-makers, and researchers. Educational researchers should seek to address both the theoretical and the applied aspects of learning. Professional development must make explicit links between research findings and classroom strategies and tactics, and research must be made more readily available to those who are not currently seeking additional credentialing, and therefore do not individually have access to scholarly literature. Further research is needed to expand the survey sample and refine the survey instrument. Similar research with administrators in pre-K-20 settings as well as in-depth interviews would serve to investigate the "why" of many findings.
ContributorsMahoney, Shawn (Author) / Savenye, Wilhelmina (Thesis advisor) / Nelson, Brian (Committee member) / Atkinson, Robert (Committee member) / Arizona State University (Publisher)
Created2013