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Wednesday, June 12 • 4:00pm - 5:00pm
Analyzing Log File Data to Understand Players

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Analyzing Log File Data to Understand Players

There is great interest in using games to assess players’ knowledge, skills, and abilities. However, while games are capable of collecting information about micro-processes of players as they move through the environment, procedures for translating this information into inferences about player proficiencies are not well known. This workshop will introduce participants to specific techniques for uncovering patterns in log file data. Participants will conduct and interpret analyses using R software to uncover player groups, action clusters, and patterns of action that can illuminate differences between players at different levels of constructs of interest. Players will leave with steps and practical skills for using log file data to make inferences about player characteristics.

Kristen DiCerbo

avatar for Kristen DiCerbo

Kristen DiCerbo

Vice President of Education Research, Pearson
Kristen is the Vice-President of Education Research at Pearson, working to integrate learning science research into digital products. Her personal research program centers around game-based assessment, specifically the collaborative design of games as both learning and assessment tools and the use of statistical models to turn data into evidence of student knowledge, skills, and attributes. She has worked on a computer networking game at Cisco... Read More →

Wednesday June 12, 2013 4:00pm - 5:00pm
Class of '24

Attendees (34)