Abstract
Identifying learners’ problem-solving strategies from telemetry data is a critical task for serious games. Traditional methods like sequence mining, text replays, and statistical analysis often necessitate labor-intensive manual iterations to configure data appropriately and typically focus only on predominant trends. To improve our understanding of learner behaviors, this paper introduces a novel interactive visualization system that leverages player journeys-node-edge graphs depicting trends in sequences of player actions. We also present player segmentation, a new approach aimed at revealing and representing strategies that might otherwise be ignored, filtered out, or dismissed as outliers. We evaluated the effectiveness of our system through a mixed-methods study with 12 participants from our target demographic (game analysts). The results show that segmentation significantly reduces the time needed to identify strategies, suggesting that categorizing data based on causal factors can offer analysts more intuitive and insightful explanations.
Original language | English |
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Title of host publication | Serious Games - 10th Joint International Conference, JCSG 2024, Proceedings |
Editors | Jan L. Plass, Xavier Ochoa |
Publisher | Springer |
Pages | 77-90 |
Number of pages | 14 |
ISBN (Electronic) | 978-3-031-74138-8 |
ISBN (Print) | 978-3-031-74137-1 |
DOIs | |
Publication status | Published - 31 Oct 2024 |
Event | 10th Joint Conference on Serious Games, JCSG 2024 - New York City, United States Duration: 7 Nov 2024 → 8 Nov 2024 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 15259 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 10th Joint Conference on Serious Games, JCSG 2024 |
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Country/Territory | United States |
City | New York City |
Period | 7/11/24 → 8/11/24 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Keywords
- learning analytics
- mixed-methods evaluation
- segmentation
- visual analytics
- visualization systems