Predicting correctness of problem solving from lowlevel log data in intelligent tutoring systems

EDM'09 - Educational Data Mining 2009: 2nd International Conference on Educational Data Mining

Volumn , Issue , 2009, Pages 230-239

  Luo, Si ^a   Yan, Ping Xin ^a   Cetintas, Suleyman ^b   Hord, Casey ^b  

^a Purdue University   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SPARSENESS PROBLEM; DOMAIN SPECIFIC; ESTIMATE MODEL; EXPERT KNOWLEDGE; INTELLIGENT TUTORING SYSTEM; LEARNING-BASED METHODS; LOG DATA; LOG FILE; MODELING PROCESS; MOUSE MOVEMENTS; POSSIBLE SOLUTIONS; RIDGE-REGRESSION ALGORITHM; TIME FEATURES;

ALGORITHMS; COMPUTER AIDED INSTRUCTION; DATA MINING; EDUCATION COMPUTING; REGRESSION ANALYSIS; STUDENTS;

PROBLEM SOLVING;

EID: 84857472114     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

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