Potential Abstract: This research article presents an activity theoretic analysis of the practice of ungrading in education, focusing on the concept of transgression and its implications for student learning outcomes. Ungrading, a practice that challenges traditional grading systems by emphasizing feedback and growth over grades, remains a controversial and understudied topic in educational research. By utilizing educational data mining techniques, this study aims to uncover patterns and insights into the effects of ungrading on student engagement, motivation, and achievement.
Drawing on the theoretical framework of activity theory, this study examines the interactions between students, teachers, and the learning environment within the context of ungrading. By considering how these interactions shape and are shaped by the practice of ungrading, this research seeks to provide a nuanced understanding of the potential benefits and challenges associated with this approach.
Through a mixed-methods approach that integrates quantitative analysis of student performance data with qualitative data from interviews and observations, this study aims to address the following research questions: How do students and teachers perceive the practice of ungrading? What are the key factors that influence the effectiveness of ungrading in promoting student learning and development? How can educational data mining techniques be used to uncover patterns and insights related to ungrading practices?
This research contributes to the existing literature on ungrading and educational data mining by offering a comprehensive analysis of the practice through an activity theoretic lens. By unpacking unanswered questions surrounding the practice of ungrading and its potential impact on student learning outcomes, this study seeks to inform educators, researchers, and policymakers about the complexities and possibilities of adopting alternative assessment practices in education.
Potential References:
- Activity theory as a conceptual framework for understanding teacher approaches to information and communication technologies
- A systematic review on educational data mining
- Exploring the innovation modes and evolution of the cloud-based service using the activity theory on the basis of big data
- Understanding student learning pathways in traditional online history courses: utilizing process mining analysis on clickstream data
- Clustering algorithms applied in educational data mining
