PALM: PAnoramic Learning Map Integrating Learning Analytics and Curriculum Map for Scalable Insights Across Courses
Mahiro Ozaki, Li Chen, Shotaro Naganuma, Valdemar \v{S}v\'abensk\'y, Fumiya Okubo, Atsushi Shimada

TL;DR
PALM is a scalable learning analytics dashboard that integrates curriculum data to improve students' awareness of their learning behaviors and academic progress, fostering self-regulation and engagement.
Contribution
This paper introduces PALM, a novel curriculum-level learning analytics system that combines multilayered educational data for scalable insights across courses.
Findings
PALM improves students' awareness of their learning behaviors.
PALM outperforms existing systems in visual appeal and usability.
PALM enhances self-regulated learning and engagement.
Abstract
This study proposes and evaluates the PAnoramic Learning Map (PALM), a learning analytics (LA) dashboard designed to address the scalability challenges of LA by integrating curriculum-level information. Traditional LA research has predominantly focused on individual courses or learners and often lacks a framework that considers the relationships between courses and the long-term trajectory of learning. To bridge this gap, PALM was developed to integrate multilayered educational data into a curriculum map, enabling learners to intuitively understand their learning records and academic progression. We conducted a system evaluation to assess PALM's effectiveness in two key areas: (1) its impact on students' awareness of their learning behaviors, and (2) its comparative performance against existing systems. The results indicate that PALM enhances learners' awareness of study planning and…
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