Mining Learners' Behavioral Sequential Patterns in a Blockly Visual Programming Educational Game

被引：0

作者：

Shih, Wen-Chung ^{[1
]}

机构：

[1] Asia Univ, Dept Comp Sci & Informat Engn, Taichung, Taiwan

来源：

2017 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, MANAGEMENT SCIENCE AND APPLICATION (ICIMSA 2017) | 2017年

关键词：

sequential pattern mining; visual programming environments; educational games; learners' behavior; PERFORMANCE;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Previous researches have claimed that visual programming environments are helpful for learning programming by problem-solving. The purpose of this work is to use a blockly visual programming educational game for university students and analyze their sequential learning behaviors. The study presented a two-level sequential pattern mining algorithm to mine the students' behavioral patterns.

引用

页码：77 / 78

页数：2

共 8 条

[1]

[Anonymous], 1996, ADV DATABASE TECHNOL, DOI DOI 10.1007/BFB0014140

[2]

Bakeman R., 1997, OBSERVING INTERACTIO

[3] Exploring students' computational practice, design and performance of problem-solving through a visual programming environment [J].

Chao, Po-Yao .

COMPUTERS & EDUCATION, 2016, 95 :202-215

[4]

Han J, 2012, MOR KAUF D, P1

[5]

Pan Y., DATA COLLECTION MODE, P164

[6] Clustering and Sequential Pattern Mining of Online Collaborative Learning Data [J].

Perera, Dilhan ;

Kay, Judy ;

Koprinska, Irena ;

Yacef, Kalina ;

Zaiane, Osmar R. .

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2009, 21 (06) :759-772

[7]

Sun JCY, 2017, EDUC TECHNOL SOC, V20, P45

[8] A Situational Analytic Method for User Behavior Pattern in Multimedia Social Networks [J].

Zhang, Zhiyong ;

Sun, Ranran ;

Wang, Xiaoxue ;

Zhao, Changwei .

IEEE TRANSACTIONS ON BIG DATA, 2019, 5 (04) :520-528

← 1 →