Matching Items (3)
Filtering by
- All Subjects: education technology
- All Subjects: Feedback
- All Subjects: Blended Instruction Classes
- Creators: Arnold, Madison
- Creators: Daliri, Ayoub AD
- Member of: Theses and Dissertations
- Status: Published
Web-Based Programming Grading Assistant: An Investigation of the Role of Students Reviewing Behavior
Description
Paper assessment remains to be an essential formal assessment method in today's classes. However, it is difficult to track student learning behavior on physical papers. This thesis presents a new educational technology—Web Programming Grading Assistant (WPGA). WPGA not only serves as a grading system but also a feedback delivery tool that connects paper-based assessments to digital space. I designed a classroom study and collected data from ASU computer science classes. I tracked and modeled students' reviewing and reflecting behaviors based on the use of WPGA. I analyzed students' reviewing efforts, in terms of frequency, timing, and the associations with their academic performances. Results showed that students put extra emphasis in reviewing prior to the exams and the efforts demonstrated the desire to review formal assessments regardless of if they were graded for academic performance or for attendance. In addition, all students paid more attention on reviewing quizzes and exams toward the end of semester.
ContributorsHuang, Po-Kai (Author) / Hsiao, I-Han (Thesis advisor) / Nelson, Brian (Committee member) / VanLehn, Kurt (Committee member) / Arizona State University (Publisher)
Created2017
Description
In this study, I used two computational models (state-space model and simple DIVA model) to determine the speech motor system’s sensitivity to auditory errors that are relevant vs. irrelevant and introduced gradually or suddenly. I applied formant perturbations (first and second formants of /ɛ/ were shifted toward formants of /æ/) to generate auditory errors. Then I measured subjects’ adaptive responses to the formant perturbations. I examined (a) the accuracy of models in explaining the adaptive responses (b) the relationship between the models’ parameters and the adaptive responses. My results showed that both models predict the adaptive responses to errors. However, the models’ parameters differently correlated with the adaptive responses, suggesting that while the models perform similarly, they provide different insights about adaptive responses to auditory errors. These results have important implications for speech motor learning and production models and shed light on neural processes involved in generating adaptive responses.
ContributorsKasraeian, Kimiya (Author) / Daliri, Ayoub AD (Thesis advisor) / Luo, Xin XL (Committee member) / Rogalsky, Corianne CR (Committee member) / Arizona State University (Publisher)
Created2021
Description
This paper outlines a responsible innovation framework to evaluate technologies designed for education. Traditionally, technologies being implemented for development of education come from foreign nations with less cultural understanding of the needs of the country they are trying to serve. This framework outlines categories that impact the success or failure of an educational technology. The framework is explained and then applied to the SolarSPELL case; an offline digital library designed to bring information to resource constrained areas around the world. The purpose of this research is to explore the factors determining success and failure of educational technology projects and design a framework that can be used moving forward to assess projects prior to the final implementation stage to encourage more successful projects. The framework designed in this research proved useful for evaluating educational technology designed for resource constrained areas.
ContributorsArnold, Madison (Author) / Parmentier, Mary Jane (Thesis director) / Hosman, Laura (Committee member) / School for the Future of Innovation in Society (Contributor) / Walter Cronkite School of Journalism & Mass Comm (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12