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Volumn 72, Issue , 2014, Pages 23-36

A system for knowledge discovery in e-learning environments within the European Higher Education Area - Application to student data from Open University of Madrid, UDIMA

Author keywords

E learning; Educational data mining; Educational performance; Moodle; Reference model

Indexed keywords

COMPUTER AIDED INSTRUCTION; DATA MINING; EDUCATION COMPUTING; LEARNING SYSTEMS; STUDENTS; TEACHING;

EID: 84888082608     PISSN: 03601315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compedu.2013.10.009     Document Type: Article
Times cited : (107)

References (47)
  • 2
    • 77954605151 scopus 로고    scopus 로고
    • The state of educational data mining in 2009: A review and future visions
    • R. Baker, and K. Yacef The state of educational data mining in 2009: a review and future visions Journal of Educational Data Mining 1 1 2009 3 17
    • (2009) Journal of Educational Data Mining , vol.1 , Issue.1 , pp. 3-17
    • Baker, R.1    Yacef, K.2
  • 8
    • 79955025464 scopus 로고    scopus 로고
    • Applying data mining techniques to e-learning problems
    • L. C. Jain, R. Tedman, and D. Tedman, Eds. Studies in computational intelligence Springer-Verlag New York
    • F. Castro, A. Vellido, A. Nebot, and F. Mugica Applying data mining techniques to e-learning problems L. C. Jain, R. Tedman, and D. Tedman, Eds. Evolution of teaching and learning paradigms in intelligent environment Studies in computational intelligence Vol. 62 2007 Springer-Verlag New York 183 221
    • (2007) Evolution of Teaching and Learning Paradigms in Intelligent Environment , vol.62 VOL. , pp. 183-221
    • Castro, F.1    Vellido, A.2    Nebot, A.3    Mugica, F.4
  • 9
    • 47649106926 scopus 로고    scopus 로고
    • Mining key formative assessment rules based on learner portfiles for web-based learning systems
    • Japan
    • C. Chen, M. Chen, and Y. Li Mining key formative assessment rules based on learner portfiles for web-based learning systems Proc. IEEE Int. Conf. Adv. Learn. Technol., Niigata 2007 Japan 1 5
    • (2007) Proc. IEEE Int. Conf. Adv. Learn. Technol., Niigata , pp. 1-5
    • Chen, C.1    Chen, M.2    Li, Y.3
  • 11
    • 0034347058 scopus 로고    scopus 로고
    • Discovering Decision Knowledge from Web Log Portfolio for Managing Classroom Processes by Applying Decision Tree and Data Cube Technology
    • DOI 10.2190/5JNM-B6HP-YC58-PM5Y
    • G. Chen, C. Liu, K. Ou, and B. Liu Discovering decision knowledge from web log portfolio for managing classroom processes by applying decision tree and data cube technology Journal of Educational Computing Research 23 3 2000 305 332 (Pubitemid 33222878)
    • (2000) Journal of Educational Computing Research , vol.23 , Issue.3 , pp. 305-332
    • Chen, G.-D.1    Liu, C.-C.2    Ou, K.-L.3    Liu, B.-J.4
  • 13
    • 0002433547 scopus 로고    scopus 로고
    • From data mining to knowledge discovery: An overview
    • U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy, AAAI Press/The MIT Press Menlo Park, CA.
    • U.M. Fayyad, G. Piatetsky-Shapiro, and P. Smyth From data mining to knowledge discovery: an overview U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy, Advances in knowledge discovery and data mining 1996 AAAI Press/The MIT Press Menlo Park, CA. 1 34
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 1-34
    • Fayyad, U.M.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 14
    • 84888103361 scopus 로고    scopus 로고
    • La evaluación de la formación universitaria semipresencial y en línea en el contexto del EEES mediante el uso de los informes de actividad de la plataforma Moodle
    • M. Galán, and D. Rodríguez La evaluación de la formación universitaria semipresencial y en línea en el contexto del EEES mediante el uso de los informes de actividad de la plataforma Moodle RIED. Revista Iberoamericana de Educación a Distancia 15 1 2012 159 178
    • (2012) RIED. Revista Iberoamericana de Educación A Distancia , vol.15 , Issue.1 , pp. 159-178
    • Galán, M.1    Rodríguez, D.2
  • 17
    • 58349101059 scopus 로고    scopus 로고
    • Planning of educational training courses by data mining: Using China Motor Corporation as an example
    • C. Huang, W. Lin, W. Wang, and W. Wang Planning of educational training courses by data mining: using China Motor Corporation as an example Expert Systems with Applications 36 3 2009 7199 7209
    • (2009) Expert Systems with Applications , vol.36 , Issue.3 , pp. 7199-7209
    • Huang, C.1    Lin, W.2    Wang, W.3    Wang, W.4
  • 20
    • 78651252829 scopus 로고    scopus 로고
    • Predicting students' academic performance: Comparing artificial neural network, decision tree and linear regression
    • Z. Ibrahim, and D. Rusli Predicting students' academic performance: comparing artificial neural network, decision tree and linear regression Proc. Annu. SAS Malaysia Forum, Kuala Lumpur, Malaysia 2007 1 6
    • (2007) Proc. Annu. SAS Malaysia Forum, Kuala Lumpur, Malaysia , pp. 1-6
    • Ibrahim, Z.1    Rusli, D.2
  • 23
    • 67650236153 scopus 로고    scopus 로고
    • Dropout prediction in e-learning courses through the combination of machine learning techniques
    • I. Lykourentzou, I. Giannoukos, V. Nikolopoulos, G. Mpardis, and V. Loumos Dropout prediction in e-learning courses through the combination of machine learning techniques Computers & Education 53 3 2009 950 965
    • (2009) Computers & Education , vol.53 , Issue.3 , pp. 950-965
    • Lykourentzou, I.1    Giannoukos, I.2    Nikolopoulos, V.3    Mpardis, G.4    Loumos, V.5
  • 24
    • 77958151914 scopus 로고    scopus 로고
    • Mining diagnostic assessment data for concept similarity
    • T. Madhyastha, and E. Hunt Mining diagnostic assessment data for concept similarity Journal of Educational Data Mining 1 1 2009 72 91
    • (2009) Journal of Educational Data Mining , vol.1 , Issue.1 , pp. 72-91
    • Madhyastha, T.1    Hunt, E.2
  • 29
    • 77954261499 scopus 로고    scopus 로고
    • Factors influencing adult learners' decision to drop out or persist in online learning
    • J.-H. Park, and H.J. Choi Factors influencing adult learners' decision to drop out or persist in online learning Educational Technology & Society 12 4 2009 207 217
    • (2009) Educational Technology & Society , vol.12 , Issue.4 , pp. 207-217
    • Park, J.-H.1    Choi, H.J.2
  • 32
    • 33845663518 scopus 로고    scopus 로고
    • Educational data mining: A survey from 1995 to 2005
    • DOI 10.1016/j.eswa.2006.04.005, PII S0957417406001266
    • C. Romero, and S. Ventura Educational data mining: a survey from 1995 to 2005 Expert Systems with Applications 1 33 2007 135 146 (Pubitemid 44959924)
    • (2007) Expert Systems with Applications , vol.33 , Issue.1 , pp. 135-146
    • Romero, C.1    Ventura, S.2
  • 35
    • 37849007735 scopus 로고    scopus 로고
    • The classroom sentinel: Supporting data driven decision-making in the classroom
    • M.K. Singley, and R.B. Lam The classroom sentinel: supporting data driven decision-making in the classroom Proc. 13th World Wide Web Conf., Chiba, Japan 2005 315 322
    • (2005) Proc. 13th World Wide Web Conf., Chiba, Japan , pp. 315-322
    • Singley, M.K.1    Lam, R.B.2
  • 37
    • 13244297800 scopus 로고    scopus 로고
    • Learning log database and data mining system for e-learning - On line statistical outlier detection of irregular learning processes
    • M. Ueno, and K. Nagaoka Learning log database and data mining system for e-learning - on line statistical outlier detection of irregular learning processes Proc. Int. Conf. Adv. Learning technol., Tatarstan, Russia 2002 436 438
    • (2002) Proc. Int. Conf. Adv. Learning Technol., Tatarstan, Russia , pp. 436-438
    • Ueno, M.1    Nagaoka, K.2
  • 38
    • 77949592737 scopus 로고    scopus 로고
    • Understanding novice errors and error paths in object-oriented programming through log analysis
    • M.N. Vee, B. Meyer, and K.L. Mannock Understanding novice errors and error paths in object-oriented programming through log analysis Proc. Workshop educ. Data mining, Taiwan 2006 13 20
    • (2006) Proc. Workshop Educ. Data Mining, Taiwan , pp. 13-20
    • Vee, M.N.1    Meyer, B.2    Mannock, K.L.3
  • 41
    • 84888097156 scopus 로고    scopus 로고
    • ATutor,. Accessed July 2013
    • ATutor, http://atutor.ca. Accessed July 2013.
  • 42
    • 84888097771 scopus 로고    scopus 로고
    • Desire2Learn,. Accessed July 2013
    • Desire2Learn, http://www.desire2learn.com. Accessed July 2013.
  • 43
    • 84888120084 scopus 로고    scopus 로고
    • Dokeos,. Accessed July 2013
    • Dokeos, http://www.dokeos.com. Accessed July 2013.
  • 44
    • 84888086208 scopus 로고    scopus 로고
    • eCollege,. Accessed July 2013
    • eCollege, http://www.ecollege.com. Accessed July 2013.
  • 45
    • 84888107694 scopus 로고    scopus 로고
    • European Higher Education Area,. Accessed July 2013
    • European Higher Education Area, http://www.ehea.info. Accessed July 2013.
  • 46
    • 84888119452 scopus 로고    scopus 로고
    • Moodle,. Accessed July 2013
    • Moodle, www.moodle.org. Accessed July 2013.
  • 47
    • 84888090248 scopus 로고    scopus 로고
    • Moodle Statistics,. Accessed July 2013
    • Moodle Statistics, www.moodle.org/stats. Accessed July 2013.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.