Integration of Learning Analytics into the ARC-Tutoring Workbench

Abstract

The evolving educational landscape increasingly demands tools that provide personalized and data-driven support for students and tutors. This research presents the design and development of the ARC Tutoring Workbench, a comprehensive dashboard that integrates multiple modules—Login, Descriptive Learning Analytics (LA), Diagnostic LA, Predictive LA, an avatar-based chatbot, and a Time Management tool. The primary goal of this workbench is to enhance academic performance and streamline task management for students while enabling tutors to provide targeted assistance. For students, the workbench leverages Learning Analytics to present current performance scores, diagnose learning gaps, and predict future outcomes. This predictive capability empowers students to focus on areas requiring improvement, ultimately supporting better academic achievement. Additionally, the Time Management tool facilitates effective planning by allowing students to organize their tasks and milestones, while the chatbot provides valuable support in crafting reports and designing presentations. Tutors benefit from comprehensive data visualization and analysis tools that enable them to monitor the performance of all their students. The dashboard highlights students in need of additional help, allowing tutors to provide tailored guidance. Advanced filtering options allow tutors to dig deeper into student data, fostering a more personalized and efficient approach to education. Access to the dashboard is secured through a robust login system, ensuring that students and tutors can only view their respective dashboards. By integrating these modules into a unified system, the ARC Tutoring Workbench fosters an environment of informed decision-making and proactive intervention, ultimately enhancing the teaching and learning experience. This research contributes to the field of educational technology by demonstrating how integrated dashboards can support personalized learning and targeted instruction. Datei-Upload durch TIB