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This study introduces VISID, a visual analytics tool to understand user interaction strategies in digital learning environments. It helps analyze how users engage with interactive exhibits, revealing distinct learning patterns.

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Area of Science:

Human-Computer Interaction
Educational Technology
Data Visualization

Background:

Interactive digital exhibits in informal learning settings aim to enhance user engagement and knowledge transfer.
Analyzing user interaction logs is crucial for understanding behavior but presents challenges in linking actions to cognitive processes.
Existing research on analyzing user interaction data in educational contexts is limited.

Purpose of the Study:

To develop a visual analytics approach for exploring user interaction strategies in interactive digital environments.
To address the challenge of analyzing interaction logs and coupling them with cognitive learning processes.
To support both individual user-level analysis and multi-user comparisons of exploration strategies.

Main Methods:

Developed a visual analytics approach utilizing algorithmic methods to identify similarities in user interactions.
Implemented the approach in an interactive visual analytics prototype system named VISID.
Conducted an experimental study with 14 science center visitors using event sequences from interaction log data.

Main Results:

Identified task-solving exploration strategies like "cascading" and "nested-loop" that correlate with different levels of Bloom's taxonomy.
Demonstrated the system's ability to reveal user exploration strategies at individual and multi-user levels.
Validated the approach through an application scenario with diverse participants and tasks of increasing complexity.

Conclusions:

The VISID system provides a novel approach for analyzing user interactions in digital learning environments.
The identified strategies offer insights into cognitive learning processes during interaction with exhibits.
Further research is needed to assess the generalizability and scalability of the system with real-world data.