Matching Items (4)
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- All Subjects: Design-based Research
- All Subjects: massive open online course
- Creators: Cunningham, James
- Creators: Weinberg, Andrea
- Member of: Theses and Dissertations
Description
Learning analytics application is evolving into a student-facing solution. Student-facing learning analytics dashboards (SFLADs), as one popular application, occupies a pivotal position in online learning. However, the application of SFLADs faces challenges due to teacher-centered and researcher-centered approaches. The majority of SFLADs report student learning data to teachers, administrators, and researchers without direct student involvement in the design of SFLADs. The primary design criteria of SFLADs is developing interactive and user-friendly interfaces or sophisticated algorithms that analyze the collected data about students’ learning activities in various online environments. However, if students are not using these tools, then analytics about students are not useful. In response to this challenge, this study focuses on investigating student perceptions regarding the design of SFLADs aimed at providing ownership over learning. The study adopts an approach to design-based research (DBR; Barab, 2014) called the Integrative Learning Design Framework (ILDF; Bannan-Ritland, 2003). The theoretical conjectures and the definition of student ownership are both framed by Self-determination theory (SDT), including four concepts of academic motivation. There are two parts of the design in this study, including prototypes design and intervention design. They are guided by a general theory-based inference which is student ownership will improve student perceptions of learning in an autonomy-supportive SFLAD context. A semi-structured interview is used to gather student perceptions regarding the design of SFLADs aimed at providing ownership over learning.
ContributorsLi, Siyuan (Author) / Zuiker, Steven (Thesis advisor) / Cunningham, James (Committee member) / Lande, Micah (Committee member) / Arizona State University (Publisher)
Created2019
Description
This qualitative, design-based research study explored the design, implementation, and outcomes of a professional development for mid-career K-8 science and engineering teachers. The Responsive and Empowering Science and Engineering Teacher (RESET) professional development was designed to support teachers in developing role identities as culturally responsive teachers, change agents disrupting inequitable educational practices, and advocates of students’ equitable access to and participation in science and engineering disciplines. Four mid-career K-8 teachers participated in RESET, which was embedded in a five-week summer program focused on solar energy engineering. The teachers engaged in activities designed to increase their knowledge of and pedagogical strategies for culturally responsive teaching. After each key event, teachers reflected on their experiences in terms of their role identities, including their purposes and goals, self-perceptions, beliefs, and perceived action possibilities for that role. Teachers also engaged in critical discussions examining how the strategies and practices might contribute to more equitable science and engineering practices. An embedded case study design was used, with RESET as the focal case and the four teachers as embedded cases, to examine teachers’ experiences during RESET and actions during the school year. I analyzed teacher surveys, semi-structured interviews, written reflections, audio recordings of the critical discussions, and researcher memos from during RESET and school year observations to determine the influence of RESET on teachers’ role identity development and actions. I also analyzed a series of conjecture maps created to detail the design and adaptations of RESET to explore the extent to which RESET’s targeted enactment processes and outcomes had been achieved and design and process conjectures had been supported. Findings varied across participants, with all four participants at least somewhat achieving the targeted outcomes, indicating that all of the teachers’ role identities were influenced by RESET. Three of four teachers translated their learning into actions as culturally responsive science and engineering teachers during the school year. In terms of RESET’s design, several of the conjectures were supported or partially supported. Implications for the second iteration of RESET and for the general scholarship on professional development for mid-career K-8 science and engineering teachers are discussed.
ContributorsWakefield, Wendy (Author) / Jordan, Michelle (Thesis advisor) / Weinberg, Andrea (Thesis advisor) / Boveda, Mildred (Committee member) / Arizona State University (Publisher)
Created2021
Description
Today’s science education has been highly criticized in the United States despite reform efforts that attempt to promote more wholistic and integrated goals for teaching and learning science, which include both the understanding of key content and the acquisition of scientific skills. Outdoor education may be a means with which to better engage students in science, but educators often find this type of teaching difficult to adopt for a variety of reasons. Nature journaling may be a useful access point to outdoor education for teachers experiencing those barriers. This study examines a six-month implementation of nature journaling activities in a high school Ecology & Animal Behavior course. It was found that students completing nature journaling in this classroom utilized both scientific knowledge and scientific practices in their work, and that instances and depth of these demonstrations increased as a general trend over time, which may be considered successful learning according to situativity theory. Further, students communicated their understanding of what they were accomplishing through their journal work as highly beneficial, though their own perceptions of their competencies in scientific practices did not change. Though additional research needs to be conducted, this study points to a potentially positive relationship between modern science education and outdoor learning through nature journal activities.
ContributorsSuloff, Sarah (Author) / Weinberg, Andrea (Thesis advisor) / Jordan, Michelle (Committee member) / Franz, Nico (Committee member) / Arizona State University (Publisher)
Created2021
Description
One persisting problem in Massive Open Online Courses (MOOCs) is the issue of student dropout from these courses. The prediction of student dropout from MOOC courses can identify the factors responsible for such an event and it can further initiate intervention before such an event to increase student success in MOOC. There are different approaches and various features available for the prediction of student’s dropout in MOOC courses.In this research, the data derived from the self-paced math course ‘College Algebra and Problem Solving’ offered on the MOOC platform Open edX offered by Arizona State University (ASU) from 2016 to 2020 was considered. This research aims to predict the dropout of students from a MOOC course given a set of features engineered from the learning of students in a day. Machine Learning (ML) model used is Random Forest (RF) and this model is evaluated using the validation metrics like accuracy, precision, recall, F1-score, Area Under the Curve (AUC), Receiver Operating Characteristic (ROC) curve. The average rate of student learning progress was found to have more impact than other features. The model developed can predict the dropout or continuation of students on any given day in the MOOC course with an accuracy of 87.5%, AUC of 94.5%, precision of 88%, recall of 87.5%, and F1-score of 87.5% respectively. The contributing features and interactions were explained using Shapely values for the prediction of the model. The features engineered in this research are predictive of student dropout and could be used for similar courses to predict student dropout from the course. This model can also help in making interventions at a critical time to help students succeed in this MOOC course.
ContributorsDominic Ravichandran, Sheran Dass (Author) / Gary, Kevin (Thesis advisor) / Bansal, Ajay (Committee member) / Cunningham, James (Committee member) / Sannier, Adrian (Committee member) / Arizona State University (Publisher)
Created2021