D 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

References:

URL, URL

Marked to be transferred to RIV

No

Organization

Fakulta informatiky – Repository – Repository

ISBN

979-8-3315-3358-8

ISSN

DOI

https://doi.org/10.1109/SMC58881.2025.11343513

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.
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