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Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 918))

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Abstract

Higher education is currently challenged to respond to a massive interest in learning with a current model that shows increasing evidence of too much cost, effort and decreasing efficacy of the operational learning process. Artificial intelligence has gained presence as a solution, but the integration process is already reporting problems and will not be implemented easily, in particular for universities with low degree of automation integrated to their systems. Universities need to quickly adapt and develop organizational and individual competencies, and clarity about the elements for new learning evaluation systems. This work contributes to propose a model to help universities to define these new systems making the most of artificial intelligence tools for academic essays scoring.

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References

  1. QS Quacquarelli Symonds: Understanding the Future of Higher Education. QS Website (2018). http://www.qs.com/understanding-future-higher-education/

  2. Moran, H., Powell, J.: Running a tight ship: can universities plot a course through rough seas? Special Report for the Guardian, HSBC, UUK (2018). https://uploads.guim.co.uk/

  3. Kerr, C.: The Uses of the University, 5th edn. Harvard University Press, Cambridge (2003)

    Google Scholar 

  4. Ferrer-Balas, D., et al.: Going beyond the rhetoric: system-wide changes in universities for sustainable societies. J. Cleaner Prod. 18(7), 607–610 (2010)

    Article  Google Scholar 

  5. INEI: Estadísticas de Educación Superior. Instituto Nacional de Estadísticas Website (2018). https://www.inei.gob.pe/estadisticas/indice-tematico/nivel-de-educacion-alcanzado-8034/

  6. Vedder, R.: Seven Challenges Facing Higher Education. Forbes Magazine. The Center for College Affordability and Productivity (2017). https://www.forbes.com/sites/ccap/

  7. Bok, D.: Universities in the Marketplace. The Commercialization of Higher Education. Princeton University Press, Princeton (2003)

    Google Scholar 

  8. McDonald, M.: Systematic Assessment of Learning Outcomes: Developing Multiple-Choice Exams. Jones & Barlett Learning, Boston (2002)

    Google Scholar 

  9. Warwick, K.: Artificial Intelligence: The Basics. Routledge, London (2013)

    Book  Google Scholar 

  10. Connelly, J., Forsyth, P.: Essay Writing Skills: Essential Techniques to Gain Top Marks. Kogan Page Publishers, London (2012)

    Google Scholar 

  11. Page, E.B.: The imminence of grading essays by computer. Phi Delta Kappa 47, 238–243 (1966)

    Google Scholar 

  12. Shermis, M.D., Burstein, J.C.: Automated Essay Scoring: A Cross-Disciplinary Perspective. Routledge, New York (2003)

    Book  Google Scholar 

  13. Ramalingam, V., Pandian, A., Chetry, P., Nigam, H.: Automated essay grading using machine learning. In: National Conference on Mathematical Techniques and its Applications (NCMTA 2018) (2018). https://doi.org/10.1088/1742-6596/1000/1/012030. http://iopscience.iop.org/article

    Google Scholar 

  14. Shermis, M.D.: The challenges of emulating human behavior in writing assessment. Assessing Writ. J. 22, 91–99 (2014)

    Article  Google Scholar 

  15. Harvard University: Essay Structure. Harvard College Writing Centre (2017). https://writingcenter.fas.harvard.edu

  16. Hoppe, U., Verdejo, M.F.: Artificial Intelligence in Education: Shaping the Future of Learning Through Intelligent Technologies. IOS Press, Amsterdam (2003)

    Google Scholar 

  17. Archibald, R., Feldman, D.: Explaining increases in higher education costs. J. High. Educ. 79(3), 268–295 (2008)

    Article  Google Scholar 

  18. Muller, V., Bostrom, N.: Future progress in artificial intelligence: a survey of expert opinion. In: Fundamental Issues of Artificial Intelligence. Springer (2016)

    Google Scholar 

  19. Dale, R., Moisl, H., Somers, H.: Handbook of Natural Language Processing. Business and Economics. CRC Press, Boca Raton (2000)

    Book  Google Scholar 

  20. Wissner-Gross, A.D., Freer, C.E.: Causal entropic forces. Phys. Rev. Lett. 110, 168702 (2013)

    Article  Google Scholar 

  21. Glaser, R.: Knowing, Learning, and Instruction. Lawrence Erlbaum Publishers, London (1989)

    Google Scholar 

  22. Bird, S., et al.: Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. O’Reilly Media Inc., Sebastopol (2009)

    MATH  Google Scholar 

  23. Le, Q., Mikolov, T.: Distributed Representations of Sentences and Documents. Google Inc. (2014)

    Google Scholar 

  24. Scikit Learn: Scikit-Learn Website (2018). http://scikit-learn.org

  25. Norton, L.S.: Essay-writing: what really counts? High. Educ. J. 20(4), 411–442 (1990)

    Article  Google Scholar 

  26. Mumford, M.D., et al.: Leadership skills for a changing world: Solving complex social problems. Leadersh. Q. J. 11(1), 11–35 (2000)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. GestioDinámica, Lima, Peru

    José Carlos Machicao

  2. Universidad Continental, Lima, Peru

    José Carlos Machicao

Authors
  1. José Carlos Machicao
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Correspondence to José Carlos Machicao .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. Facultad de Geografía, Universidad de Santiago de Compostela, Santiago Compostela, La Coruña, Spain

    Carlos Ferrás

  3. Departamento de Eléctrica, Electrónica y Telecomunicaciones, Universidad de las Fuerzas Armadas “ESPE”, Sangolqui, Ecuador

    Manolo Paredes

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Machicao, J.C. (2019). Higher Education Challenge Characterization to Implement Automated Essay Scoring Model for Universities with a Current Traditional Learning Evaluation System. In: Rocha, Á., Ferrás, C., Paredes, M. (eds) Information Technology and Systems. ICITS 2019. Advances in Intelligent Systems and Computing, vol 918. Springer, Cham. https://doi.org/10.1007/978-3-030-11890-7_78

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