A tool for integrating log and video data for exploratory analysis and model generation

Victor Girotto, Elissa Thomas, Cecil Lozano, Kasia Muldner, Winslow Burleson, Erin Walker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 12th International Conference, ITS 2014, Proceedings
PublisherSpringer Verlag
Pages69-74
Number of pages6
ISBN (Print)9783319072203
DOIs
StatePublished - 2014
Event12th International Conference on Intelligent Tutoring Systems, ITS 2014 - Honolulu, HI, United States
Duration: Jun 5 2014Jun 9 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8474 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Intelligent Tutoring Systems, ITS 2014
Country/TerritoryUnited States
CityHonolulu, HI
Period6/5/146/9/14

Keywords

  • cognitive modeling
  • intelligent tutor
  • log analysis tool

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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