Mining Sequential Patterns to Explore Users' Learning Behavior in a Visual Programming App

Visual programming environments combined with problem-solving are useful for promoting students' motivation of learning programming. The purpose of this work is to use a blockly visual programming educational app for university students and analyze their learning behavior patterns. The study us...

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Bibliographic Details
Published in:2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC) Vol. 2; pp. 126 - 129
Main Author: Shih, Wen-Chung
Format: Conference Proceeding
Language:English
Published: IEEE 01.07.2018
Subjects:
Data mining
educational app
Encoding
Games
learning behavior
Programming profession
sequential pattern mining
visual programming environments
Visualization
ISBN:1538626675, 9781538626672
ISSN:0730-3157
Online Access:Get full text
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Summary:Visual programming environments combined with problem-solving are useful for promoting students' motivation of learning programming. The purpose of this work is to use a blockly visual programming educational app for university students and analyze their learning behavior patterns. The study uses a sequential pattern mining tool to mine the students' behavioral patterns. The preliminary results showed that the proposed method can find behavior patterns of high-achievement students and low-achievement students.
ISBN:1538626675
9781538626672
ISSN:0730-3157
DOI:10.1109/COMPSAC.2018.10216