메뉴 건너뛰기




Volumn 524, Issue , 2014, Pages 3-28

Which contribution does EDM provide to computer-based learning environments?

Author keywords

Computer based learning environments (CBLE); EDM; Learner's behavior; Prediction of student's performance

Indexed keywords


EID: 84958542541     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-02738-8_1     Document Type: Review
Times cited : (43)

References (60)
  • 1
    • 77958154131 scopus 로고    scopus 로고
    • Data mining for education
    • McGaw, B., Peterson, P., Baker, E. (eds.) 3rd edn. Elsevier, Amsterdam
    • Baker, R.S.J.D.: Data mining for education. In: McGaw, B., Peterson, P., Baker, E. (eds.) International Encyclopedia of Education, vol. 7, 3rd edn., pp. 112-118. Elsevier, Amsterdam (2010
    • (2010) International Encyclopedia of Education , vol.7 , pp. 112-118
    • Baker, R.S.J.D.1
  • 2
    • 84857477373 scopus 로고    scopus 로고
    • A java desktop tool for mining moodle data
    • Pechenizkiy, M., Calders, T., Conati, C., Ventura, S., Romero, C., Stamper, J. (eds.). International Educational Data Mining Society, Eindhoven
    • Pedraza-Perez, R., Romero, C., Ventura, S.: A java desktop tool for mining moodle data. In: Pechenizkiy, M., Calders, T., Conati, C., Ventura, S., Romero, C., Stamper, J. (eds.) Proceedings of 4th International Conference on Educational Data Mining, pp. 319-320. International Educational Data Mining Society, Eindhoven (2011
    • (2011) Proceedings of 4th International Conference on Educational Data Mining , pp. 319-320
    • Pedraza-Perez, R.1    Romero, C.2    Ventura, S.3
  • 3
    • 84868199180 scopus 로고    scopus 로고
    • Examining students' online interaction in a live video streaming environment using data mining and text mining
    • He, W.: Examining students' online interaction in a live video streaming environment using data mining and text mining. Comput. Hum. Behav. 29(1), 90-102 (2013
    • (2013) Comput. Hum. Behav , vol.29 , Issue.1 , pp. 90-102
    • He, W.1
  • 4
    • 79960107927 scopus 로고    scopus 로고
    • Data mining model for higher education system
    • Ayesha, S., Mustafa, T., Sattar, A., Khan, I.: Data mining model for higher education system. Eur. J. Sci. Res. 43(1), 24-29 (2010
    • (2010) Eur. J. Sci. Res , vol.43 , Issue.1 , pp. 24-29
    • Ayesha, S.1    Mustafa, T.2    Sattar, A.3    Khan, I.4
  • 5
    • 84868197192 scopus 로고    scopus 로고
    • Mining educational data to reduce dropout rates of engineering students
    • Pal, S.: Mining educational data to reduce dropout rates of engineering students. Int. J. Inf. Eng. Electron. Bus. 2(1), 1-7 (2012
    • (2012) Int. J. Inf. Eng. Electron. Bus , vol.2 , Issue.1 , pp. 1-7
    • Pal, S.1
  • 7
    • 84891860998 scopus 로고    scopus 로고
    • A survey of educational data-mining research
    • Huebner, R.A.: A survey of educational data-mining research. Res. High. Educ. J. 19, 1-13 (2013
    • (2013) Res. High. Educ. J. , vol.19 , pp. 1-13
    • Huebner, R.A.1
  • 8
    • 84879549462 scopus 로고    scopus 로고
    • Introduction to the special section on educational data mining
    • Calders, T., Pechenizkiy, M.: Introduction to the special section on educational data mining. ACM SIGKDD Explor. 13(2), 3-6 (2011
    • (2011) ACM SIGKDD Explor , vol.132 , Issue.3-6
    • Calders, T.1    Pechenizkiy, M.2
  • 12
    • 84891854769 scopus 로고    scopus 로고
    • Enhancing teaching and learning through educational data mining and learning analytics: An issue brief. US Department of Education
    • Bienkowski, M., Feng, M., Means, B.: Enhancing teaching and learning through educational data mining and learning analytics: An issue brief. US Department of Education, Office of Educational Technology, pp. 1-57 (2012
    • (2012) Office of Educational Technology , pp. 1-57
    • Bienkowski, M.1    Feng, M.2    Means, B.3
  • 15
    • 77954923145 scopus 로고    scopus 로고
    • A combinational incremental ensemble of classifiers as a technique for predicting students' performance in distance education
    • Kotsiantis, S., Patriarcheas, K., Xenos, M.: A combinational incremental ensemble of classifiers as a technique for predicting students' performance in distance education. Knowl-Based Syst. 23(6), 529-535 (2010
    • (2010) Knowl-Based Syst , vol.23 , Issue.6 , pp. 529-535
    • Kotsiantis, S.1    Patriarcheas, K.2    Xenos, M.3
  • 16
    • 71549171729 scopus 로고    scopus 로고
    • Mining lms data to develop an ''early warning'' system for educators: A proof of concept
    • Macfayden, L.P., Dawson, S.: Mining LMS data to develop an ''early warning'' system for educators: A proof of concept. Comput. Educ. 54(2), 588-599 (2010
    • (2010) Comput. Educ , vol.54 , Issue.2 , pp. 588-599
    • Macfayden, L.P.1    Dawson, S.2
  • 17
    • 84877607651 scopus 로고    scopus 로고
    • Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data
    • Romero, C., Zafra, A., Luna, J.M., Ventura, S.: Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data. Expert Syst. 30(2), 162-172 (2013
    • (2013) Expert Syst , vol.30 , Issue.2 , pp. 162-172
    • Romero, C.1    Zafra, A.2    Luna, J.M.3    Ventura, S.4
  • 18
    • 77957257328 scopus 로고    scopus 로고
    • Application of machine learning techniques to analyse student interactions and improve the collaboration process
    • Anaya, A.R., Boticario, J.G.: Application of machine learning techniques to analyse student interactions and improve the collaboration process. Expert Syst. Appl. 38, 1171-1181 (2011
    • (2011) Expert Syst. Appl , vol.38 , pp. 1171-1181
    • Anaya, A.R.1    Boticario, J.G.2
  • 20
    • 77954605151 scopus 로고    scopus 로고
    • The state of educational data mining in 2009: A review and future visions
    • Baker, R.J.D.F., Yacef, K.: The state of educational data mining in 2009: A review and future visions. J. Educ. Data Min. 1(1), 3-17 (2009
    • (2009) J. Educ. Data Min , vol.1 , Issue.1 , pp. 3-17
    • Baker, R.J.D.F.1    Yacef, K.2
  • 21
    • 84995271031 scopus 로고    scopus 로고
    • A survey of data mining in the context of e-Learning
    • ALMazroui, Y.A.: A survey of data mining in the context of e-Learning. Int. J. Inf. Technol. Comput. Sci. 7(3), 8-18 (2013
    • (2013) Int. J. Inf. Technol. Comput. Sci , vol.7 , Issue.3 , pp. 8-18
    • Almazroui, Y.A.1
  • 22
    • 85084016546 scopus 로고    scopus 로고
    • Mining student behavior patterns in reading comprehension tasks
    • Yacef, K., Zaïane, O., Hershkovitz, A., Yudelson, M., Stamper, J. (eds. International Educational Data Mining Society, Chania
    • Peckham, T., McCalla, G.: Mining student behavior patterns in reading comprehension tasks. In: Yacef, K., Zaïane, O., Hershkovitz, A., Yudelson, M., Stamper, J. (eds.) Proceedings of 5th International Conference on Educational Data Mining, pp. 87-94. International Educational Data Mining Society, Chania (2012
    • (2012) Proceedings of 5th International Conference on Educational Data Mining , pp. 87-94
    • Peckham, T.1    McCalla, G.2
  • 23
    • 84857491217 scopus 로고    scopus 로고
    • Mining rare association rules from elearning data
    • Baker, R.S.J.D., Merceron, A., Pavlik Jr., P.I. (eds. International Educational Data Mining Society, Pittsburgh
    • Romero, C., Romero, J.R., Luna, J.M., Ventura, S.: Mining rare association rules from elearning data. In: Baker, R.S.J.D., Merceron, A., Pavlik Jr., P.I. (eds.) Proceedings of 3rd International Conference on Educational Data Mining, pp. 171-180. International Educational Data Mining Society, Pittsburgh (2010
    • (2010) Proceedings of 3rd International Conference on Educational Data Mining , pp. 171-180
    • Romero, C.1    Romero, J.R.2    Luna, J.M.3    Ventura, S.4
  • 24
    • 79955827700 scopus 로고    scopus 로고
    • Activity sequence modeling and dynamic clustering for personalized e-learning
    • Kock, M., Paramythis, A.: Activity sequence modeling and dynamic clustering for personalized e-learning. User Model. User-Adap. Inter. 21(1-2), 51-97 (2011
    • (2011) User Model. User-Adap. Inter , vol.21 , Issue.1-2 , pp. 51-97
    • Kock, M.1    Paramythis, A.2
  • 25
    • 85084012473 scopus 로고    scopus 로고
    • Clustering and visualizing study state sequences
    • D'Mello, S.K., Calvo, R.A., Olney, A. (eds. International Educational Data Mining Society, Memphis
    • Desmarais, M.C., Lemieux, F.: Clustering and visualizing study state sequences. In: D'Mello, S.K., Calvo, R.A., Olney, A. (eds.) Proceedings of 6th International Conference on Educational Data Mining, pp. 224-227. International Educational Data Mining Society, Memphis (2013
    • (2013) Proceedings of 6th International Conference on Educational Data Mining , pp. 224-227
    • Desmarais, M.C.1    Lemieux, F.2
  • 26
    • 85084015233 scopus 로고    scopus 로고
    • Identifying students' characteristic learning behaviors in an intelligent tutoring system fostering self regulated learning
    • Yacef, K., Zaïane, O., Hershkovitz, A., Yudelson, M., Stamper, J. (eds. International Educational Data Mining Society, Chania
    • Bouchet, F., Azevedo, R., Kinnebrew, J.S., Biswas, G.: Identifying students' characteristic learning behaviors in an intelligent tutoring system fostering self regulated learning. In: Yacef, K., Zaïane, O., Hershkovitz, A., Yudelson, M., Stamper, J. (eds.) Proceedings of 5th International Conference on Educational Data Mining, pp. 65-72. International Educational Data Mining Society, Chania (2012
    • (2012) Proceedings of 5th International Conference on Educational Data Mining , pp. 65-72
    • Bouchet, F.1    Azevedo, R.2    Kinnebrew, J.S.3    Biswas, G.4
  • 28
    • 84857496904 scopus 로고    scopus 로고
    • Analyzing participation of students in online courses using social network analysis technique
    • Pechenizkiy, M., Calders, T., Conati, C., Ventura, S., Romero, C., Stamper, J. (eds. International Educational Data Mining Society, Eindhoven
    • Rabbany, R., Takaffoli, M., Zaïane, O.: Analyzing participation of students in online courses using social network analysis technique. In: Pechenizkiy, M., Calders, T., Conati, C., Ventura, S., Romero, C., Stamper, J. (eds.) Proceedings of 4th International Conference on Educational Data Mining, pp. 21-30. International Educational Data Mining Society, Eindhoven (2011
    • (2011) Proceedings of 4th International Conference on Educational Data Mining , pp. 21-30
    • Rabbany, R.1    Takaffoli, M.2    Zaïane, O.3
  • 30
    • 84876471490 scopus 로고    scopus 로고
    • The sum is greater than the parts: Ensembling models of student knowledge in educational software
    • Pardos, Z.A., Gowda, S.M., Baker, R.S.J.D., Heffernan, N.T.: The sum is greater than the parts: Ensembling models of student knowledge in educational software. ACM SIGKDD Explor. 13(2), 37-44 (2011
    • (2011) ACM SIGKDD Explor , vol.13 , Issue.2 , pp. 37-44
    • Pardos, Z.A.1    Gowda, S.M.2    Baker, R.S.J.D.3    Heffernan, N.T.4
  • 31
    • 84879533266 scopus 로고    scopus 로고
    • Mapping question items to skills with non-negative matrix factorization
    • Desmarais, M.C.: Mapping question items to skills with non-negative matrix factorization. ACM SIGKDD Explor. 13(2), 30-36 (2011
    • (2011) ACM SIGKDD Explor , vol.132 , Issue.30-36
    • Desmarais, M.C.1
  • 34
    • 84857480297 scopus 로고    scopus 로고
    • A data model to ease analysis and mining of educational data
    • Baker, R.S.J.D., Merceron, A., Pavlik Jr., P.I. (eds. International Educational Data Mining Society, Pittsburgh
    • Krüger, A., Merceron, A., Wolf, B.: A data model to ease analysis and mining of educational data. In: Baker, R.S.J.D., Merceron, A., Pavlik Jr., P.I. (eds.) Proceedings of 3rd International Conference on Educational Data Mining, pp. 131-140. International Educational Data Mining Society, Pittsburgh (2010
    • (2010) Proceedings of 3rd International Conference on Educational Data Mining , pp. 131-140
    • Krüger, A.1    Merceron, A.2    Wolf, B.3
  • 36
    • 84877786122 scopus 로고    scopus 로고
    • A service oriented architecture to provide data mining services for non-expert data miners
    • Zorrilla, M., Garcia-Saiz, D.: A service oriented architecture to provide data mining services for non-expert data miners. Decis. Support Syst. J. 55(1), 399-411 (2013
    • (2013) Decis. Support Syst. J. , vol.55 , Issue.1 , pp. 399-411
    • Zorrilla, M.1    Garcia-Saiz, D.2
  • 38
    • 84863406966 scopus 로고    scopus 로고
    • EDM visualization tool: Watching students learn
    • Baker, R.S.J.D., Merceron, A., Pavlik Jr., P.I. (eds. International EDM Society, Pittsburgh
    • Johnson, M., Barnes, T.: EDM visualization tool: Watching students learn. In: Baker, R.S.J.D., Merceron, A., Pavlik Jr., P.I. (eds.) Proceedings of 3rd International Conference on Educational Data Mining, pp. 297-298. International EDM Society, Pittsburgh (2010
    • (2010) Proceedings of 3rd International Conference on Educational Data Mining , pp. 297-298
    • Johnson, M.1    Barnes, T.2
  • 39
    • 84878892197 scopus 로고    scopus 로고
    • DRAL: A tool for discovering relevant e-Activities for learners
    • Zafra, A., Romero, C., Ventura, S.: DRAL: A tool for discovering relevant e-Activities for learners. Knowl. Inf. Syst. 36(1), 211-250 (2013
    • (2013) Knowl. Inf. Syst , vol.36 , Issue.1 , pp. 211-250
    • Zafra, A.1    Romero, C.2    Ventura, S.3
  • 40
    • 78650758307 scopus 로고    scopus 로고
    • Learners' navigation behavior identification based on traces analysis
    • Bousbia, N., Rebaï, I., Labat, J-M., Balla, A.: Learners' navigation behavior identification based on traces analysis. User Model. User-Adap. Inter. 20(5), 455-494 (2010
    • (2010) User Model. User-Adap. Inter , vol.20 , Issue.5 , pp. 455-494
    • Bousbia, N.1    Rebaï, I.2    Labat, J.-M.3    Balla, A.4
  • 43
    • 84869789520 scopus 로고    scopus 로고
    • Multimodal learning and teaching corpora exchange: Lessons learned in 5 years by the Mulce project In: Special issue on dataTEL: Datasets and data supported learning in technology-enhanced learning
    • Reffay, C., Betbeder, M-L., Chanier, T.: Multimodal learning and teaching corpora exchange: Lessons learned in 5 years by the Mulce project. In: Special issue on dataTEL: Datasets and data supported learning in technology-enhanced learning. Int. J. Technol. Enhanced Learn. 4(1-2), 11-30 (2012
    • (2012) Int. J. Technol. Enhanced Learn , vol.4 , Issue.1-2 , pp. 11-30
    • Reffay, C.1    Betbeder, M.-L.2    Chanier, T.3
  • 44
    • 84871069884 scopus 로고    scopus 로고
    • Use of machine learning techniques for educational proposes: A decision support system for forecasting students' grades
    • Kotsiantis, S.B.: Use of machine learning techniques for educational proposes: A decision support system for forecasting students' grades. Artif. Intell. Rev. 37(4), 331-344 (2012
    • (2012) Artif. Intell. Rev , vol.37 , Issue.4 , pp. 331-344
    • Kotsiantis, S.B.1
  • 45
    • 77957286385 scopus 로고    scopus 로고
    • Combining unsupervised and supervised classification to build user models for exploratory learning environments
    • Amershi, S., Conati, C.: Combining unsupervised and supervised classification to build user models for exploratory learning environments. J. Educ. Data Min. 1(1), 18-71 (2009
    • (2009) J. Educ. Data Min , vol.1 , Issue.1 , pp. 18-71
    • Amershi, S.1    Conati, C.2
  • 47
    • 84862177782 scopus 로고    scopus 로고
    • Using data mining on student behavior and cognitive style data for improving e-learning systems: A case study
    • Jovanovica, M., Vukicevica, M., Milovanovica, M., Minovica, M.: Using data mining on student behavior and cognitive style data for improving e-learning systems: A case study. Int. J. Comput. Intell. Syst. 5(3), 597-610 (2012
    • (2012) Int. J. Comput. Intell. Syst , vol.5 , Issue.3 , pp. 597-610
    • Jovanovica, M.1    Vukicevica, M.2    Milovanovica, M.3    Minovica, M.4
  • 48
    • 79960053813 scopus 로고    scopus 로고
    • Using educational data mining methods to study the impact of virtual classroom in e-learning
    • Baker, R.S.J.D., Merceron, A., Pavlik Jr., P.I. (eds. International Educational Data Mining Society, Pittsburgh
    • Falakmasir, M., Jafar, H.: Using educational data mining methods to study the impact of virtual classroom in e-learning. In: Baker, R.S.J.D., Merceron, A., Pavlik Jr., P.I. (eds.) Proceedings of 3rd International Conference on Educational Data Mining, pp. 241-248. International Educational Data Mining Society, Pittsburgh (2010
    • (2010) Proceedings of 3rd International Conference on Educational Data Mining , pp. 241-248
    • Falakmasir, M.1    Jafar, H.2
  • 49
    • 84872707825 scopus 로고    scopus 로고
    • Web usage mining for predicting final marks of students that use moodle courses
    • Romero, C., Espejo, P.G., Zafra, A., Romero, J.R., Ventura, S.: Web usage mining for predicting final marks of students that use moodle courses. Comput. Appl. Eng. Educ. J. 21(1), 135-146 (2013
    • (2013) Comput. Appl. Eng. Educ. J. , vol.21 , Issue.1 , pp. 135-146
    • Romero, C.1    Espejo, P.G.2    Zafra, A.3    Romero, J.R.4    Ventura, S.5
  • 50
    • 77955895091 scopus 로고    scopus 로고
    • Data mining to generate individualised feedback
    • Aleven, V., Kay, J., Mostow, J. (eds. Springer, Heidelberg
    • Dominguez, A.K., Yacef, K., Curran, J.: Data mining to generate individualised feedback. In: Aleven, V., Kay, J., Mostow, J. (eds.) ITS 2010, Part II. LNCS, vol. 6095, pp. 303-305. Springer, Heidelberg (2010
    • (2010) ITS 2010, Part II. LNCS , vol.6095 , pp. 303-305
    • Dominguez, A.K.1    Yacef, K.2    Curran, J.3
  • 51
    • 84868199866 scopus 로고    scopus 로고
    • Usage reporting on recorded lectures using educational data mining
    • Gorissen, P., Bruggen, J., Jochems, W.: Usage reporting on recorded lectures using educational data mining. Int. J. Learn. Technol. 7(1), 23-40 (2012
    • (2012) Int. J. Learn. Technol , vol.7 , Issue.1 , pp. 23-40
    • Gorissen, P.1    Bruggen, J.2    Jochems, W.3
  • 53
    • 84857465730 scopus 로고    scopus 로고
    • Spectral clustering in educational data mining
    • Pechenizkiy, M., Calders, T., Conati, C., Ventura, S., Romero, C., Stamper, J. (eds. International Educational Data Mining Society, Eindhoven
    • Trivedi, S., Pardos, Z.A., Sárközy, G.N., Heffernan, N.T.: Spectral clustering in educational data mining. In: Pechenizkiy, M., Calders, T., Conati, C., Ventura, S., Romero, C., Stamper, J. (eds.) Proceedings of 4th International Conference on Educational Data Mining, pp. 129-138. International Educational Data Mining Society, Eindhoven (2011
    • (2011) Proceedings of 4th International Conference on Educational Data Mining , pp. 129-138
    • Trivedi, S.1    Pardos, Z.A.2    Sárközy, G.N.3    Heffernan, N.T.4
  • 54
    • 84944709180 scopus 로고    scopus 로고
    • Collaborative filtering applied to educational data mining
    • Toescher, A., Jahrer, M.: Collaborative filtering applied to educational data mining. J. Mach. Learn. Res. (2010
    • (2010) J. Mach. Learn. Res
    • Toescher, A.1    Jahrer, M.2
  • 55
    • 85084012504 scopus 로고    scopus 로고
    • Classification via clustering for predicting final marks based on student participation in forums
    • Yacef, K., Zaïane, O., Hershkovitz, A., Yudelson, M., Stamper, J. (eds. International EDM Society, Chania
    • López, M.I., Luna, J.M., Romero, C., Ventura, S.: Classification via clustering for predicting final marks based on student participation in forums. In: Yacef, K., Zaïane, O., Hershkovitz, A., Yudelson, M., Stamper, J. (eds.) Proceedings of 5th International Conference on Educational Data Mining, pp. 148-151. International EDM Society, Chania (2012
    • (2012) Proceedings of 5th International Conference on Educational Data Mining , pp. 148-151
    • López, M.I.1    Luna, J.M.2    Romero, C.3    Ventura, S.4
  • 56
    • 84868550135 scopus 로고    scopus 로고
    • A study of enhanced structured web-based discussion in a foreign language learning class
    • Chang, M.M., Lin, M.C., Tsai, M.J.: A study of enhanced structured web-based discussion in a foreign language learning class. Comput. Educ. 61, 232-241 (2013
    • (2013) Comput. Educ , vol.61 , pp. 232-241
    • Chang, M.M.1    Lin, M.C.2    Tsai, M.J.3
  • 57
    • 76649103360 scopus 로고    scopus 로고
    • Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive-Affective states during interactions with three different computer-based learning environments
    • Baker, R.S.Jd., D'Mello, S.K., Rodrigo, M.M.T., Graesser, A.C.: Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive-Affective states during interactions with three different computer-based learning environments. Int. J. Hum-Comput. Stud. 68(4), 223-241 (2010
    • (2010) Int. J. Hum-Comput. Stud , vol.68 , Issue.4 , pp. 223-241
    • Baker, R.S.J.D.1    D'Mello, S.K.2    Rodrigo, M.M.T.3    Graesser, A.C.4
  • 58
    • 85084015190 scopus 로고    scopus 로고
    • Identifying learning behaviors by contextualizing differential sequence mining with action features and performance evolution In
    • Yacef, K., Zaïane, O., Hershkovitz, A., Yudelson, M., Stamper, J. (eds. International EDM Society, Chania
    • Kinnebrew, J.S., Biswas, G.: Identifying learning behaviors by contextualizing differential sequence mining with action features and performance evolution In: Yacef, K., Zaïane, O., Hershkovitz, A., Yudelson, M., Stamper, J. (eds.) Proceedings of 5th International Conference on Educational Data Mining, pp. 57-64. International EDM Society, Chania (2012
    • (2012) Proceedings of 5th International Conference on Educational Data Mining , pp. 57-64
    • Kinnebrew, J.S.1    Biswas, G.2
  • 59
    • 85084014641 scopus 로고    scopus 로고
    • Identifying successful learners from interaction behaviour
    • Yacef, K., Zaïane, O., Hershkovitz, A., Yudelson, M., Stamper, J. (eds. International Educational Data Mining Society, Chania
    • McCuaig, J., Baldwin, J.: Identifying successful learners from interaction behaviour. In: Yacef, K., Zaïane, O., Hershkovitz, A., Yudelson, M., Stamper, J. (eds.) Proceedings of 5th International Conference on Educational Data Mining, pp. 160-163. International Educational Data Mining Society, Chania (2012
    • (2012) Proceedings of 5th International Conference on Educational Data Mining , pp. 160-163
    • McCuaig, J.1    Baldwin, J.2
  • 60
    • 85084013183 scopus 로고    scopus 로고
    • Predicting dropout from social behaviour of students
    • Yacef, K., Zaïane, O., Hershkovitz, A., Yudelson, M., Stamper, J. (eds. International Educational Data Mining Society, Chania
    • Bayer, J., Bydzovska, H., Geryk, J., Obsivac, T., Popelinsky, L.: Predicting dropout from social behaviour of students. In: Yacef, K., Zaïane, O., Hershkovitz, A., Yudelson, M., Stamper, J. (eds.) Proceedings of 5th International Conference on Educational Data Mining, pp. 103-109. International Educational Data Mining Society, Chania (2012
    • (2012) Proceedings of 5th International Conference on Educational Data Mining , pp. 103-109
    • Bayer, J.1    Bydzovska, H.2    Geryk, J.3    Obsivac, T.4    Popelinsky, L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.