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Description
Distributed self-assessments and reflections empower learners to take the lead on their knowledge gaining evaluation. Both provide essential elements for practice and self-regulation in learning settings. Nowadays, many sources for practice opportunities are made available to the learners, especially in the Computer Science (CS) and programming domain. They may choose to utilize these opportunities to self-assess their learning progress and practice their skill. My objective in this thesis is to understand to what extent self-assess process can impact novice programmers learning and what advanced learning technologies can I provide to enhance the learner’s outcome and the progress. In this dissertation, I conducted a series of studies to investigate learning analytics and students’ behaviors in working on self-assessments and reflection opportunities. To enable this objective, I designed a personalized learning platform named QuizIT that provides daily quizzes to support learners in the computer science domain. QuizIT adopts an Open Social Student Model (OSSM) that supports personalized learning and serves as a self-assessment system. It aims to ignite self-regulating behavior and engage students in the self-assessment and reflective procedure. I designed and integrated the personalized practice recommender to the platform to investigate the self-assessment process. I also evaluated the self-assessment behavioral trails as a predictor to the students’ performance. The statistical indicators suggested that the distributed reflections were associated with the learner's performance. I proceeded to address whether distributed reflections enable self-regulating behavior and lead to better learning in CS introductory courses. From the student interactions with the system, I found distinct behavioral patterns that showed early signs of the learners' performance trajectory. The utilization of the personalized recommender improved the student’s engagement and performance in the self-assessment procedure. When I focused on enhancing reflections impact during self-assessment sessions through weekly opportunities, the learners in the CS domain showed better self-regulating learning behavior when utilizing those opportunities. The weekly reflections provided by the learners were able to capture more reflective features than the daily opportunities. Overall, this dissertation demonstrates the effectiveness of the learning technologies, including adaptive recommender and reflection, to support novice programming learners and their self-assessing processes.
ContributorsAlzaid, Mohammed (Author) / Hsiao, Ihan (Thesis advisor) / Davulcu, Hasan (Thesis advisor) / VanLehn, Kurt (Committee member) / Nelson, Brian (Committee member) / Bansal, Srividya (Committee member) / Arizona State University (Publisher)
Created2022
Description
This paper examines the effect of a weekly student self-assessment assignment on student performance in an undergraduate math course. Self-assessment is an increasingly popular type of formative assessment with close ties to self-regulated learning theory. In this randomized controlled trial, 88 students enrolled in MAT 142 were divided into four treatment groups, receiving the self-assessment assignment for either half the semester, the full semester, or not at all. There was no main effect of the treatment on students’ course performance (F(3,80) = 0.154, p = 0.999). However, students’ level of compliance with the assignments (F(1, 63) = 6.87, p = 0.011) and class attendance (F(1, 83) = 12.34, p < 0.001) both significantly predicted exam scores, suggesting that conscientiousness predicts performance. I conducted focus groups to understand how students felt toward the self-assessments. Participants expressed distaste toward the assignments and provided suggestions for improvements. I describe these improvements, among others, in an effort to outline future directions for this research. I also describe a new model of student self-assessment based on theories of adaptive testing and self-regulated learning.
ContributorsDuque-Baird, Santiago (Author) / Zheng, Yi (Thesis director) / West, Stephen G. (Thesis director) / Slominski, Tara (Committee member) / Barrett, The Honors College (Contributor) / Department of English (Contributor) / Department of Psychology (Contributor)
Created2024-05
Description
This study explores positivist and Indigenous research paradigms as they relate to Indigenous language reclamation. Paradigms, as defined by Kuhn (2012) describe verifiable epistemological approaches that can be utilized in providing solutions for researchers and practitioners. Moreover, in the modern realm of academia, research paradigms are the keystones of research. Nevertheless, when a Eurocentric paradigm such as positivism is utilized in an Indigenous space, it can lead to further colonial trauma. Thus, through an analysis of the philosophical components from the two paradigms this study proposes a paradigmatic pivot in how linguistic students approach research. The purpose of recommending this pedagogical shift is to encourage the academy to normalize the use of Indigenous research paradigms which are intrinsically infused with Indigenous epistemologies and intercultural best practices. Furthermore, to exhibit the expediency and validity of Indigenous research paradigms, this study utilizes Walker’s (2001) Medicine Wheel paradigm to create a self-assessment tool which seeks to assist linguistic students in achieving a more relationally accountable sense of cultural awareness.
ContributorsDillard, S (Author) / Gelderen, Elly van (Thesis advisor) / Quintero, Henry (Committee member) / Macksoud, Ruby (Committee member) / Arizona State University (Publisher)
Created2019