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All issues Volume 255 (2019) MATEC Web Conf., 255 (2019) 03002 References
Open Access
Issue
MATEC Web Conf.
Volume 255, 2019
Engineering Application of Artificial Intelligence Conference 2018 (EAAIC 2018)
Article Number 03002
Number of page(s) 8
Section Medical, Material and Social Service
DOI https://doi.org/10.1051/matecconf/201925503002
Published online 16 January 2019
  1. J. P. Campbell, and D. G. Oblinger, EDUCAUSE Review, 42, 4, 40–57 (2007). [Google Scholar]
  2. H. Lakkaraju, Aguiar, E., Shan, C., Miller, D., Bhanpuri, N., Ghani, R., & Addison, K. L., Kdd, 1909–1918 (2015). [CrossRef] [Google Scholar]
  3. S. A. Ferreira and A. Andrade, IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 9, 3, 98–105 (2014). [CrossRef] [Google Scholar]
  4. Analytics - Definition by Gartner. (n.d.). Retrieved from https://www.gartner.com/it-glossary/analytics [Google Scholar]
  5. A. van Barneveld, K. E. Arnold, and J. P. Campbell, Analytics in Higher Education (2012). [Google Scholar]
  6. L. Iten, K. E. Arnold, and M. Pistilli, Eleventh Annual TLT Conference, Purdue University (2008). [Google Scholar]
  7. K. E. Arnold, EDUCAUSE Quarterly, 33,1 (2010). [Google Scholar]
  8. B. Daniel, British J. of Edu. Tech., 46, 5, 904–920 (2015). [CrossRef] [Google Scholar]
  9. A. K. Waljee, P. D. R. Higgins, and A. G. Singal, Clinical and Translational Gastroenterology, 5, 1 (2014). [Google Scholar]
  10. P. J. Goldstein and R. Katz, Educause Center for Analysis And Research (Ecar) (2005). [Google Scholar]
  11. J. Grau-Valldosera and J. Minguillon, LAK 2011- 1st Int. Conf. on Learning Analytics and Knowledge, Banff, AB, Canada (2011). [Google Scholar]
  12. R. Ferguson, Int. J. of Tech. Enhanced Learning, 4, 5 (2012). [Google Scholar]
  13. M. L. Fonti, Doctoral dissertation. Nova Southeastern University. Retrieved from NSUWorks, College of Engineering and Computing (2015). [Google Scholar]
  14. L. Agnihotri and A. Ott, Proceedings of the 7th Int. Conf. on Edu. Data Mining., London (2014). [Google Scholar]
  15. L. P. Macfadyen, S. Dawson, A. Pardo, and D. Gasevic, Research and Practice in Assessment, 9 (2014). [Google Scholar]
  16. L. Najdi and B. Er-Raha, Int. J. of Comp. App., 156, 6, 25–30 (2016). [Google Scholar]
  17. M. Smith, L. Therry, and J. Whale, Higher Education Studies, 2,4 (2012). [CrossRef] [Google Scholar]
  18. G. Kena et al., “The Condition of Education 2014”, (2014). [Google Scholar]
  19. L. D. Singell and G. R. Waddell, Research in Higher Education, 51, 6, 546–572(2010). [CrossRef] [Google Scholar]
  20. M. Mesgarpour, T. Chaussalet, and S. Chahed, 4th Dagstuhl, Germany, 37, 89–100 (2014). [Google Scholar]
  21. C. Márquez-Vera, A. Cano, C. Romero, A. Y. M. Noaman, H. Mousa Fardoun, and S. Ventura, Expert Systems, 33,1,107–124 (2016). [CrossRef] [Google Scholar]
  22. H. U. Dissanayake, Master Thesis, St. Cloud State University (2016). [Google Scholar]
  23. F. Marbouti, H. A. Diefes-Dux, and K. Madhavan, Comp. & Edu, 103, 1–15, (2016). [CrossRef] [Google Scholar]
  24. A. Wolff, Z. Zdrahal, D. Herrmannova, J. Kuzilek, and M. Hlosta, LAK14 - 4th Int. Conf. on Learning Analytics and Knowledge, Indianapolis, Indiana, USA (2014). [Google Scholar]
  25. P. Arcuria, PhD Thesis, Arizona State University, (2014). [Google Scholar]
  26. S. Muthukumaran, PhD Thesis, Simon Fraser University (2010). [Google Scholar]
  27. J. Heaton, Forecasting & Futurism, 7, 6–10 (2013). [Google Scholar]
  28. X. Zhu, F. Kui, and Y. Wang, Int. J. of Distributed Sensor Networks, 9, 12 (2013). [Google Scholar]
  29. M. H. Mohd Yusof and M. R. Mokhtar, Int. J. of Advanced Sc., Eng. and Infor. Tech.,6, 6 (2016). [CrossRef] [Google Scholar]
  30. S. Asadianfam, M. Shamsi, and S. Asadianfam, Int. J. of Computer-Aided Tech. (IJCAx) 2, 3 (2015). [Google Scholar]
  31. R. Finnie, T. Fricker, E. Bozkurt, W. Poirier, and D. Pavlic, Toronto: The Higher Education Quality Council of Ontario (2017). [Google Scholar]
  32. S. Sivakumar, S. Venkataraman, and R. Selvaraj, Indian J. of Sc. and Tech., 9, 4 (2016). [Google Scholar]
  33. A. R. Olivera et al., Sao Paulo Medical Journal, 135, 3, 234–246 (2017). [CrossRef] [Google Scholar]
  34. D. Abbott, Applied Predictive Analytics, Wiley, Indianapolis Indiana, USA (2014). [Google Scholar]
  35. EliteDataScience (2017). [Online]. Available: https://elitedatascience.com/machine-learning-algorithms. [Google Scholar]
  36. M. Subbiah, M. R. Srinivasan, and S. Shanthi, Int. J. of Sc. and Tech. Edu. Research, 1, 2, 32–38, (2011). [Google Scholar]
  37. J. Marques, D. Hobbs, S. Northwest, S. Graf, and S. Northwest, Nuevas Ideas en Informática Educativa TISE, 120–124 (2014). [Google Scholar]
  38. E. Howard, M. Meehan, and A. Parnell, The Internet and Higher Education 37, 66–75 (2018). [CrossRef] [Google Scholar]
  39. M. Norrish, P. Kumar, and T. Heming, J. of Contemporary Medical Education, 2, 4, 199, (2014). [CrossRef] [Google Scholar]
  40. S. Huang and N. Fang, American Society for Engineering Education, p. 17 (2010). [Google Scholar]
  41. T.O. Tran, H.T. Dang, V.T. Dinh, T.M.N. Truong, T.P.T. Vuong, and X.H. Phan, Cybernetics and Information Technologies, 17, no. 2, pp. 164–182, (2017). [CrossRef] [Google Scholar]
  42. A. Nandeshwar, T. Menzies, and A. Nelson, Expert Systems with Applications, 38, 12, 14984–14996, (2011). [CrossRef] [Google Scholar]
  43. R. S. Baker, D. Lindrum, M. J. Lindrum, and D. Perkowski, Journal of Educational Data Mining, Article 1, 1, No 1 (2009). [Google Scholar]
  44. J. Kuzilek, M. Hlosta, D. Herrmannova, Z. Zdrahal, J. Vaclavek, and A. Wolff, “LAK15-5th Int. Conf. on Learning Analytics and Knowledge, Poughkeepsie, New York, USA (2015). [Google Scholar]
  45. M. A. Chatti, A. L. Dyckhoff, U. Schroeder, and H. Thüs, Int. J. of Tech. Enhanced Learning, 4, 5/6, p. 318 (2012). [CrossRef] [Google Scholar]
  46. L. Najdi and B. Er-Raha, Int. J. of Comp. Apps., 156, 6, 25–30, (2016). [Google Scholar]
  47. M. Singh and D. J. Singh, Int. J. of Comp. Sc. and Net. 2, 4 (2013). [Google Scholar]
  48. J.F. Chen, H.N. Hsieh, and Q. Do, Algorithms, 7, 4, 538–553 (2014). [CrossRef] [Google Scholar]
  49. A. M. Shahiri, W. Husain, and N. A. Rashid, Procedia Computer Science, 72, 414–422 (2015). [CrossRef] [Google Scholar]
  50. L. E. Chai, M. S. Mohamad, S. Deris, C. K. Chong, Y. W. Choon, and S. Omatu, International Journal of Bio-Science and Bio-Technology, 6, 1, 41–52 (2014). [CrossRef] [Google Scholar]
  51. M. Vahdat, A. Ghio, L. Oneto, D. Anguita, M. Funk, and M. Rauterberg, Computational Intelligence (2015). [Google Scholar]

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