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Norum, Reilly; Lee, Ji-Eun; Ottmar, Erin – Grantee Submission, 2022
This preliminary study examined whether distinct student profiles (N = 760) emerged based on their behavioral patterns in an online algebraic learning game. We applied k-means clustering analysis to clickstream data collected in the game and then examined how students' behavioral patterns varied across the clusters using data visualization. The…
Descriptors: Computer Games, Game Based Learning, Student Characteristics, Visual Aids
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Ji-Eun Lee; Aravind Stalin; Vy Ngo; Katharine Drzewiecki; Cindy Trac; Erin Ottmar – Grantee Submission, 2021
We apply an advanced data visualization technique, "Sankey diagram," to explore how middle-school students (N = 343) solved problems in a game-based algebraic notation tool. The results indicate that there is a large variation in the types of students' strategies to solve the problems, with some approaches being more efficient than…
Descriptors: Mathematics Instruction, Middle School Students, Problem Solving, Game Based Learning
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Mallas, Andreas; Xenos, Michalis – International Association for Development of the Information Society, 2019
Merging the content of learning with the motivation of games can be a successful combination, if done properly and supported by the appropriate tool. Towards this goal, we developed Diagram[character omitted]atic an environment used to gamify the in-classroom activity of designing diagrams during a lecture. Using Diagram[character omitted]atic the…
Descriptors: Educational Games, Game Based Learning, Handheld Devices, Computer Oriented Programs