메뉴 건너뛰기




Volumn 68, Issue , 2013, Pages 458-472

Predicting students' final performance from participation in on-line discussion forums

Author keywords

Asynchronous discussion forums; Data mining; Distance education and telelearning; Predicting performance; Social network analysis

Indexed keywords

ASYNCHRONOUS DISCUSSION FORUMS; CLASS ASSOCIATION RULES; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; DISTANCE EDUCATION AND TELE-LEARNING; PREDICTING PERFORMANCE; STUDENT PERFORMANCE; UNIVERSITY STUDENTS;

EID: 84880300450     PISSN: 03601315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compedu.2013.06.009     Document Type: Article
Times cited : (462)

References (77)
  • 3
    • 22944481432 scopus 로고    scopus 로고
    • Performance indicators in online distance learning courses: A study of management education
    • J.W. Alstete, and N.J. Beutell Performance indicators in online distance learning courses: a case study of management education Quality Assurance in Education 12 1 2004 6 14 (Pubitemid 38254921)
    • (2004) Quality Assurance in Education , vol.12 , Issue.1 , pp. 6-14
    • Alstete, J.W.1    Beutell, N.J.2
  • 4
    • 67650260875 scopus 로고    scopus 로고
    • Factors influencing university drop out rates
    • F. Araque, C. Roldan, and A. Salguero Factors influencing university drop out rates Computer & Education 53 2009 563 574
    • (2009) Computer & Education , vol.53 , pp. 563-574
    • Araque, F.1    Roldan, C.2    Salguero, A.3
  • 8
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • L. Breiman Random forests Machine Learning 45 1 2001 5 32 (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 10
    • 77957975396 scopus 로고    scopus 로고
    • Assessing the effectiveness of a voluntary online discussion forum on improving students' course performance
    • C.K. Cheng, D.E. Paré, L.M. Collimore, and S. Joordens Assessing the effectiveness of a voluntary online discussion forum on improving students' course performance Computers & Education 56 1 2011 253 261
    • (2011) Computers & Education , vol.56 , Issue.1 , pp. 253-261
    • Cheng, C.K.1    Paré, D.E.2    Collimore, L.M.3    Joordens, S.4
  • 15
    • 27644526567 scopus 로고    scopus 로고
    • Content analysis schemes to analyze transcripts of online asynchronous discussion groups: A review
    • DOI 10.1016/j.compedu.2005.04.005, PII S0360131505000552, Methodological Issues in Researching CSCL
    • B. De Wever, T. Schellens, M. Valcke, and H. Van Keer Content analysis schemes to analyze transcripts of online asynchronous discussion groups: a review Computers & Education 46 1 2006 6 28 (Pubitemid 41562935)
    • (2006) Computers and Education , vol.46 , Issue.1 , pp. 6-28
    • De Wever, B.1    Schellens, T.2    Valcke, M.3    Van Keer, H.4
  • 17
    • 14744278261 scopus 로고    scopus 로고
    • Using data mining as a strategy for assessing asynchronous discussion forums
    • DOI 10.1016/j.compedu.2004.05.003, PII S0360131504000788
    • L.P. Dringus, and T. Ellis Using data mining as a strategy for assessing asynchronous discussion forums Computers & Education 45 1 2005 141 160 (Pubitemid 40324862)
    • (2005) Computers and Education , vol.45 , Issue.1 , pp. 141-160
    • Dringus, L.P.1    Ellis, T.2
  • 21
    • 0029403698 scopus 로고
    • Induction of ripple-down rules applied to modeling large databases
    • B.R. Gaines, and P. Compton Induction of ripple-down rules applied to modeling large databases Journal of Intelligent Information Systems 5 3 1995 211 228
    • (1995) Journal of Intelligent Information Systems , vol.5 , Issue.3 , pp. 211-228
    • Gaines, B.R.1    Compton, P.2
  • 26
    • 54149084558 scopus 로고    scopus 로고
    • Analysis of problem-solving-based online asynchronous discussion pattern
    • H.-T. Hou, K.-E. Chang, and Y.-T. Sung Analysis of problem-solving-based online asynchronous discussion pattern Educational Technology & Society 11 1 2008 17 28
    • (2008) Educational Technology & Society , vol.11 , Issue.1 , pp. 17-28
    • Hou, H.-T.1    Chang, K.-E.2    Sung, Y.-T.3
  • 28
    • 70349208180 scopus 로고    scopus 로고
    • On the relationship between feature selection an classification accuracy
    • A. Janecek, and W. Gansterer On the relationship between feature selection an classification accuracy JMLR: Workshop and conference proceedings 4 2008 90 105
    • (2008) JMLR: Workshop and Conference Proceedings , vol.4 , pp. 90-105
    • Janecek, A.1    Gansterer, W.2
  • 31
    • 84880254245 scopus 로고    scopus 로고
    • Mining student discussions to profile participation and scaffold learning
    • C. Romero, S. Ventura, M. Pchenizky, R. Baker, Routledge
    • J. Kim, E. Shaw, and S. Ravi Mining student discussions to profile participation and scaffold learning C. Romero, S. Ventura, M. Pchenizky, R. Baker, Handbook of educational data mining 2010 Routledge 299 310
    • (2010) Handbook of Educational Data Mining , pp. 299-310
    • Kim, J.1    Shaw, E.2    Ravi, S.3
  • 32
    • 84875207830 scopus 로고    scopus 로고
    • Strategies for encouraging active learning, interaction, and academic integrity in online courses
    • S. Kleinman Strategies for encouraging active learning, interaction, and academic integrity in online courses Communication Teacher 19 1 2005 13 18
    • (2005) Communication Teacher , vol.19 , Issue.1 , pp. 13-18
    • Kleinman, S.1
  • 35
    • 77954923145 scopus 로고    scopus 로고
    • A combinational incremental ensemble of classifiers as a technique for predicting students performance in distance education
    • S. Kotsiantis, K. Patriarcheas, and M. Xenos A combinational incremental ensemble of classifiers as a technique for predicting students performance in distance education Knowledge-Based System 23 6 2010 529 535
    • (2010) Knowledge-Based System , vol.23 , Issue.6 , pp. 529-535
    • Kotsiantis, S.1    Patriarcheas, K.2    Xenos, M.3
  • 36
    • 84874229564 scopus 로고    scopus 로고
    • Predicting student success by mining enrolment data
    • Z.J. Kovacic Predicting student success by mining enrolment data Research in Higher Education Journal 15 2012 1 20
    • (2012) Research in Higher Education Journal , vol.15 , pp. 1-20
    • Kovacic, Z.J.1
  • 39
    • 71649085616 scopus 로고    scopus 로고
    • Using text mining and sentiment analysis for online forums hotspot detection and forecast
    • N. Li, and D.D. Wu Using text mining and sentiment analysis for online forums hotspot detection and forecast Decision Support Systems 48 2010 354 368
    • (2010) Decision Support Systems , vol.48 , pp. 354-368
    • Li, N.1    Wu, D.D.2
  • 40
    • 85084012504 scopus 로고    scopus 로고
    • Classification via clustering for predicting final marks starting from the student participation in forums
    • Chania, Greece
    • M.I. Lopez, J.M. Luna, C. Romero, and S. Ventura Classification via clustering for predicting final marks starting from the student participation in forums 5th International conference on educational data mining Chania, Greece 2012 148 151
    • (2012) 5th International Conference on Educational Data Mining , pp. 148-151
    • Lopez, M.I.1    Luna, J.M.2    Romero, C.3    Ventura, S.4
  • 41
    • 84876194131 scopus 로고    scopus 로고
    • Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data
    • C Márquez-Vera, A Cano, C Romero, and S Ventura Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data Applied Intelligence 38 3 2013 315 330
    • (2013) Applied Intelligence , vol.38 , Issue.3 , pp. 315-330
    • Márquez-Vera, C.1    Cano, A.2    Romero, C.3    Ventura, S.4
  • 45
    • 0030287048 scopus 로고    scopus 로고
    • The expectation-maximization algorithm
    • T.K. Moon The expectation-maximization algorithm Signal Processing Magazine, IEEE 13 6 1996 47 60 (Pubitemid 126518983)
    • (1996) IEEE Signal Processing Magazine , vol.13 , Issue.6 , pp. 47-60
    • Moon, T.K.1
  • 48
    • 49749152799 scopus 로고    scopus 로고
    • Does the discussion help? the impact of a formally assessed online discussion on final student results
    • S. Palmer, D. Holt, and S. Bray Does the discussion help? The impact of a formally assessed online discussion on final student results British Journal of Educational Technology 39 5 2008 837 858
    • (2008) British Journal of Educational Technology , vol.39 , Issue.5 , pp. 837-858
    • Palmer, S.1    Holt, D.2    Bray, S.3
  • 49
    • 79952256986 scopus 로고    scopus 로고
    • A novel classification via clustering method for anomaly based network intrusion detection system
    • M. Panda, and M. Patra A novel classification via clustering method for anomaly based network intrusion detection system International Journal of Recent Trends in Engineering 2 2009 1 6
    • (2009) International Journal of Recent Trends in Engineering , vol.2 , pp. 1-6
    • Panda, M.1    Patra, M.2
  • 51
    • 0000106040 scopus 로고
    • Universal approximation using radial-basis-function networks
    • J. Park, and I.W. Sandberg Universal approximation using radial-basis-function networks Neural Computation 3 2 1991 246 257
    • (1991) Neural Computation , vol.3 , Issue.2 , pp. 246-257
    • Park, J.1    Sandberg, I.W.2
  • 52
    • 48749094678 scopus 로고    scopus 로고
    • Student's perspective on the impact of a web-based discussion forum on student learning
    • San Diego, California
    • J. Patel, and A. Aghayere Student's perspective on the impact of a web-based discussion forum on student learning 36th Annual frontiers in education San Diego, California 2006
    • (2006) 36th Annual Frontiers in Education
    • Patel, J.1    Aghayere, A.2
  • 54
    • 0742320788 scopus 로고    scopus 로고
    • Analyzing student interactions and meaning construction in computer bulletin board discussions
    • J.B. Peña-Shaff, and C. Nicholls Analyzing student interactions and meaning construction in computer bulletin board discussions Computers & Education 42 3 2004 243 265
    • (2004) Computers & Education , vol.42 , Issue.3 , pp. 243-265
    • Peña-Shaff, J.B.1    Nicholls, C.2
  • 55
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • MIT Press
    • J.C. Platt Fast training of support vector machines using sequential minimal optimization Advances in kernels methods: Support vector learning 1999 MIT Press
    • (1999) Advances in Kernels Methods: Support Vector Learning
    • Platt, J.C.1
  • 57
    • 84857496904 scopus 로고    scopus 로고
    • Analyzing participation of students in online courses using social network analysis techniques
    • R. Rabbany, M. Takaffoli, and O. Zaïane Analyzing participation of students in online courses using social network analysis techniques Proceedings of educational data mining 2011 21 30
    • (2011) Proceedings of Educational Data Mining , pp. 21-30
    • Rabbany, R.1    Takaffoli, M.2    Zaïane, O.3
  • 59
    • 35148823785 scopus 로고    scopus 로고
    • Using mobile communication technology in high school education: Motivation, pressure, and learning performance
    • DOI 10.1016/j.compedu.2006.03.008, PII S0360131506000601
    • P.L.P. Rau, Q. Gao, and L.M. Wu Using mobile communication technology in high school education: motivation, pressure, and learning performance Computer & Education 50 1 2008 1 22 (Pubitemid 47538835)
    • (2008) Computers and Education , vol.50 , Issue.1 , pp. 1-22
    • Rau, P.-L.P.1    Gao, Q.2    Wu, L.-M.3
  • 60
    • 84952503562 scopus 로고
    • Thirteen ways to look at the correlation coefficient
    • J.L. Rodgers, and W.A. Nicewander Thirteen ways to look at the correlation coefficient The American Statistician 42 1988 59 66
    • (1988) The American Statistician , vol.42 , pp. 59-66
    • Rodgers, J.L.1    Nicewander, W.A.2
  • 64
    • 43549125222 scopus 로고    scopus 로고
    • Data mining in course management systems: Moodle case study and tutorial
    • DOI 10.1016/j.compedu.2007.05.016, PII S0360131507000590
    • C. Romero, S. Ventura, and E. García Data mining in course management systems: Moodle case study and tutorial Computers & Education 51 1 2008 368 384 (Pubitemid 351680352)
    • (2008) Computers and Education , vol.51 , Issue.1 , pp. 368-384
    • Romero, C.1    Ventura, S.2    Garcia, E.3
  • 67
    • 80052532841 scopus 로고    scopus 로고
    • A study of the relationships among learning styles, participation types, and performance in programming language learning supported by online forums
    • R.S. Shaw A study of the relationships among learning styles, participation types, and performance in programming language learning supported by online forums Computers & Education 58 1 2012 111 120
    • (2012) Computers & Education , vol.58 , Issue.1 , pp. 111-120
    • Shaw, R.S.1
  • 69
    • 84865762361 scopus 로고    scopus 로고
    • Predictive data mining for medical diagnosis: An overview of heart disease prediction
    • J. Soni, U. Ansari, D. Sharma, and S. Soni Predictive data mining for medical diagnosis: an overview of heart disease prediction International Journal of Computer Applications 17 8 2011 43 48
    • (2011) International Journal of Computer Applications , vol.17 , Issue.8 , pp. 43-48
    • Soni, J.1    Ansari, U.2    Sharma, D.3    Soni, S.4
  • 72
    • 2942574808 scopus 로고    scopus 로고
    • An examination of asynchronous communication experiences and perspectives of students in an online course: A case study
    • S. Vonderwell An examination of asynchronous communication experiences and perspectives of students in an online course: a case study The Internet and Higher Education 6 1 2003 77 90
    • (2003) The Internet and Higher Education , vol.6 , Issue.1 , pp. 77-90
    • Vonderwell, S.1
  • 75
    • 77952022003 scopus 로고    scopus 로고
    • An investigation of factors affecting students participation level in an online discussion forum
    • E. Yukselturk An investigation of factors affecting students participation level in an online discussion forum The Turkish Online Journal of Educational Technology 9 2 2010 24 32
    • (2010) The Turkish Online Journal of Educational Technology , vol.9 , Issue.2 , pp. 24-32
    • Yukselturk, E.1
  • 76
    • 80052021793 scopus 로고    scopus 로고
    • Multiple instance learning for classifying students in learning management systems
    • A. Zafra, C. Romero, and S. Ventura Multiple instance learning for classifying students in learning management systems Expert Systems With Applications 38 2011 15020 15031
    • (2011) Expert Systems with Applications , vol.38 , pp. 15020-15031
    • Zafra, A.1    Romero, C.2    Ventura, S.3
  • 77
    • 24044537630 scopus 로고    scopus 로고
    • Hierarchical clustering algorithms for document datasets
    • DOI 10.1007/s10618-005-0361-3
    • Y. Zhao, G. Karypis, and U. Fayyad Hierarchical clustering algorithms for document datasets Data Mining and Knowledge Discovery 10 2 2005 141 168 (Pubitemid 41217849)
    • (2005) Data Mining and Knowledge Discovery , vol.10 , Issue.2 , pp. 141-168
    • Zhao, Y.1    Karypis, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.