@inproceedings{457c4aac29bf4574b678d097818efe95,
title = "A tool for integrating log and video data for exploratory analysis and model generation",
abstract = "Analysis of students' log data to understand their process as they solve problems is an essential part of educational technology research. Models of correct and buggy student behavior can be generated from this log data and used as a basis for intelligent feedback. Another important technique for understanding problem-solving process is video protocol analysis, but historically, this has not been well integrated with log data. In this paper, we describe a tool to 1) facilitate the annotation of log data with information from video data, and 2) automatically generate models of student problem-solving process that include both video and log data. We demonstrate the utility of the tool with analysis of student use of a teachable robot system for geometry.",
keywords = "cognitive modeling, intelligent tutor, log analysis tool",
author = "Victor Girotto and Elissa Thomas and Cecil Lozano and Kasia Muldner and Winslow Burleson and Erin Walker",
year = "2014",
doi = "10.1007/978-3-319-07221-0_9",
language = "English (US)",
isbn = "9783319072203",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "69--74",
booktitle = "Intelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings",
note = "12th International Conference on Intelligent Tutoring Systems, ITS 2014 ; Conference date: 05-06-2014 Through 09-06-2014",
}