Logible: Detecting, Analyzing and Visualizing Behavior Sequences for Investigating Learning Behavior
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Authors
Author (Corporation)
Publication date
2021
Typ of student thesis
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Type
04B - Conference paper
Editors
Wichmann, Astrid
Hoppe, H. Ulrich
Rummel, Nikol
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Parent work
General Proceedings of the 1st Annual Meeting of the International Society of the Learning Sciences 2021
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International Society of the Learning Sciences
Place of publication / Event location
Bochum
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Abstract
Logible is a highly sensitive web-based interactive tool that automatically detects behavior sequences from raw log files. It further analyzes and visualizes sequences and allows for comparisons of behavior data between different experimental conditions without the use of other software. Logible was developed based on an iterative, exploratory, and rule-based method devised to find meaningful sequences from 92 data sets of students who learned individually or collaboratively with an enhanced video-based environment. The tool is customizable and thus enables researchers to investigate learning behavior with various kinds of sequentially logged interaction data (from web-based video environments, online learning platforms etc.).
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ISBN
978-1-7373306-0-8
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Language
English
Created during FHNW affiliation
Yes
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Publication status
Published
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Peer review of the complete publication
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Closed
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Citation
Ruf, A., Jäger, J., Niederhauser, M., Zahn, C., & Opwis, K. (2021). Logible: Detecting, Analyzing and Visualizing Behavior Sequences for Investigating Learning Behavior. In A. Wichmann, H. U. Hoppe, & N. Rummel (Eds.), General Proceedings of the 1st Annual Meeting of the International Society of the Learning Sciences 2021. International Society of the Learning Sciences. https://irf.fhnw.ch/handle/11654/32645