Date
9-9-2022
Department
School of Education
Degree
Doctor of Philosophy
Chair
Treg Hopkins
Keywords
Self-regulated Learning, Perceived Learning, Curiosity Scores, Packback
Disciplines
Education
Recommended Citation
Rizzuto, Rosemarie, "The Relationship of Perceived Learning and Self-Regulated Learning of Undergraduate Students and the Curiosity Scores Generated by Packback" (2022). Doctoral Dissertations and Projects. 3850.
https://digitalcommons.liberty.edu/doctoral/3850
Abstract
Institutions work to improve their retention rates. Research supports academically and socially integrated students are more likely to develop a commitment to the institution and persist to graduation. Historically these theories emphasized perceived learning and self-regulated learning as contributing factors for student retention. Curiosity is a motivational factor that improves student engagement and academic integration. Discussion boards are used with face-to-face, online, and hybrid courses. Instructors use the virtual workspace to build a collaborative community for students to engage with one another, the instructor, and the course material. Packback uses artificial intelligence (AI) to heighten student engagement on discussion board posts by providing immediate feedback to students and publishing a leader board with curiosity scores. Through the lens of Connectivism and the Community of Inquiry Model for online learning, this predictive correlational study explored the relationship of perceived learning and self-regulated learning of students enrolled in an undergraduate political science course and the curiosity score generated by Packback. The study involved a convenience sample from a land grant institution located in the southeastern United States . The Cognitive, Affective, and Psychomotor (CAP) survey measured perceived learning using a seven-point Likert scale. The Online Self-Regulated Learning Questionnaire (OSLQ) measured self-regulated learning behaviors using a five-point Likert scale. Packback’s Curiosity Score is generated through an algorithm using presentation, credibility, and effort. A multiple regression analysis demonstrated a lack of sufficient evidence to support a predictive relationship between perceived learning and self-regulated learning (predictor variables) upon curiosity scores (criterion variable) generated by Packback.
