Přehled o publikaci
2026
PALM: PAnoramic Learning Map Integrating Learning Analytics and Curriculum Map for Scalable Insights Across Courses
OZAKI, Mahiro; Li CHEN; Shotaro NAGANUMA; Valdemar ŠVÁBENSKÝ; Fumiya OKUBO et al.Basic information
Original name
PALM: PAnoramic Learning Map Integrating Learning Analytics and Curriculum Map for Scalable Insights Across Courses
Authors
OZAKI, Mahiro; Li CHEN; Shotaro NAGANUMA; Valdemar ŠVÁBENSKÝ; Fumiya OKUBO and Atsushi SHIMADA
Edition
New York, NY, USA, Proceedings of the 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), p. 7103-7108, 6 pp. 2026
Publisher
IEEE
Other information
Language
English
Type of outcome
Proceedings paper
Country of publisher
United States of America
Confidentiality degree
is not subject to a state or trade secret
Publication form
electronic version available online
Marked to be transferred to RIV
No
Organization
Fakulta informatiky – Repository – Repository
ISBN
979-8-3315-3358-8
ISSN
Keywords in English
Visualization
Changed: 22/3/2026 00:50, RNDr. Daniel Jakubík
Abstract
In the original language
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 reflection, particularly by improving perceived behavioral control through the visual presentation of individual learning histories and statistical trends, which clarify the links between learning actions and outcomes. Although PALM requires ongoing refinement as a system, it received significantly higher evaluations than existing systems in terms of visual appeal and usability. By serving as an information resource with previously inaccessible insights, PALM enhances self-regulated learning and engagement, representing a significant step beyond conventional LA toward a comprehensive and scalable approach.