Data mining to generate individualised feedback

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6095 LNCS, Issue PART 2, 2010, Pages 303-305

  Dominguez, Anna Katrina ^a   Yacef, Kalina ^a   Curran, James ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT TUTORING SYSTEM; ONLINE LEARNING SYSTEMS; POSITIVE FEEDBACK; TOPIC AREAS;

COMPUTER AIDED INSTRUCTION; FEEDBACK;

STUDENTS;

EID: 77955895091     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13437-1_52     Document Type: Conference Paper

References (4)

1. Anderson, J.R., Reiser, B.J.: The LISP tutor: it approaches the effectiveness of a human tutor. Byte 10, 159-175 (1985)
2. Mitrovic, A.: An intelligent SQL tutor on the web. International Journal of Artificial Intelligence in Education (IJAIED) 13, 173-197 (2003)
3. Brusilovsky, P.: ELM-ART: An Adaptive Versatile System for Web-based Instruction. International Journal of Artificial Intelligence in Education 12, 351-384 (2001)
4. Dominguez, A.K., Yacef, K., Curran, J.R.: Data Mining for Individualised Hints in eLearning. In: Educational Data Mining (EDM 2010) Conference, Pittsburgh, USA (2010) (submitted)