TY - GEN
T1 - Practical Visualization of Learning and Teaching Behaviour Patterns Using Moodle Blocks
AU - Smith, Angela
AU - Graf, Sabine
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Dashboards that illustrate the behaviour patterns of students and/or instructors can be enormously valuable for students and instructors. They can be used to promote self-reflection or support monitoring student activity. However, many dashboards simply display available data without considering whether this data is useful or supports learning success. In contrast, this research established useful visualizations based on underlying behavioural theories, developing three Moodle blocks as dashboards to explore the question: How to provide useful and understandable information about student and instructor behaviours in the form of instructor and student dashboards? While the focus of this paper is on the dashboard designs, this research is part of a larger project that uses artificial intelligence to (1) verify and depict the usefulness of the information presented with respect to its impact on student success, failure or dropout likelihood and (2) recommend alternative behaviour patterns for students and instructors to increase student success. The resulting dashboards are useful tools that allow students and instructors to self-monitor, encouraging behaviour changes that could lead to greater learning success.
AB - Dashboards that illustrate the behaviour patterns of students and/or instructors can be enormously valuable for students and instructors. They can be used to promote self-reflection or support monitoring student activity. However, many dashboards simply display available data without considering whether this data is useful or supports learning success. In contrast, this research established useful visualizations based on underlying behavioural theories, developing three Moodle blocks as dashboards to explore the question: How to provide useful and understandable information about student and instructor behaviours in the form of instructor and student dashboards? While the focus of this paper is on the dashboard designs, this research is part of a larger project that uses artificial intelligence to (1) verify and depict the usefulness of the information presented with respect to its impact on student success, failure or dropout likelihood and (2) recommend alternative behaviour patterns for students and instructors to increase student success. The resulting dashboards are useful tools that allow students and instructors to self-monitor, encouraging behaviour changes that could lead to greater learning success.
KW - behaviour patterns
KW - dashboards
KW - learning behaviour theory
KW - learning management system
KW - Moodle
KW - user-centric
KW - visualizations
UR - https://www.scopus.com/pages/publications/105035835472
U2 - 10.1109/SWC65939.2025.00075
DO - 10.1109/SWC65939.2025.00075
M3 - Published Conference contribution
AN - SCOPUS:105035835472
T3 - Proceedings - 2025 IEEE Smart World Congress, SWC 2025, 2025 IEEE Ubiquitous Intelligence and Computing, Autonomous and Trusted Computing, Digital Twin, Metaverse, Scalable Computing and Communications
SP - 345
EP - 352
BT - Proceedings - 2025 IEEE Smart World Congress, SWC 2025, 2025 IEEE Ubiquitous Intelligence and Computing, Autonomous and Trusted Computing, Digital Twin, Metaverse, Scalable Computing and Communications
T2 - 2025 IEEE Smart World Congress, SWC 2025
Y2 - 18 August 2025 through 22 August 2025
ER -