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Strategic Learning Meta-Model (SLM): Architecture of the Personalized Virtual Learning Environment (PVLE) Based on the Cloud Computing

  • Rafaela Blanca Silva-López
  • Iris Iddaly Méndez-Gurrola
  • Oscar Herrera Alcántara
  • Mónica Irene Silva-López
  • Jalil Fallad-Chávez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9414)

Abstract

In this paper a Personalized Virtual Learning Environment (PVLE) architecture is presented which integrates three components is as follows: (I) the Learning Management System (LMS); (II) the Virtual Learning Environment (VLE); and (III) the Ontological Model (OM). The components were implemented as a solution for Cloud Computing. The fieldwork considered two stages: a proof of concept that is used as a benchmark and test cases where the PVLE were applied. We observed during the performance of stage 1 the average scores for thought styles (logical processes, creative, relational) considerably remain unchanged. While in stage 2, we observed the scores average has increased, with a tendency to improve creative, logical and process styles. Therefore, there is a significant contribution in the development of students’ cognitive profile to personalize its learning activities and the use of PVLE.

Keywords

Ontological model Personalized virtual learning environment Cloud computing Strategic learning Virtual learning environment 

References

  1. 1.
    Smyth, K.: The benefits of students learning about critical evaluation rather than being summatively judged. J. Assess. Eval. High. Educ. 29(3), 370–378 (2004). http://www.tandfonline.com/doi/pdf/10.1080/0260293042000197609 CrossRefGoogle Scholar
  2. 2.
    Sangster, A.: Objective tests, learning to learn and learning styles. J. Account. Educ. 5(2), 131–146 (1996). https://www.academia.edu/1087355/Objective_tests_learning_to_learn_and_learining_styles CrossRefGoogle Scholar
  3. 3.
    Cassidy, S.: Assessing ‘inexperienced’ students ability to self-assess: exploring links with learning style and academic personal control. J. Assess. Eval. High. Educ. 32(3), 313–330 (2007)CrossRefGoogle Scholar
  4. 4.
    García-Ros, R., Pérez-González, F.: Assessment preferences of pre-service teachers: analysis according to academic level and relationship with learning styles and motivational orientation. Teach. High. Educ. 16(6), 719–731 (2011). doi: 10.1080/13562517.2011.570434 CrossRefGoogle Scholar
  5. 5.
    Uğur, B., Akkoyunlu, B., Kurbanoğlu, S.: Students’ opinions on blended learning and its implementation in terms of their learning styles. Educ. Inf. Technol. 16(5), 5–23 (2011)Google Scholar
  6. 6.
    Verhoeven, J.C., Heerwegh, D., De Wit, K.: First year university students’ self-perception of ICT skills: Do learning styles matter? Educ. Inf. Technol. 17(1), 109–133 (2010). doi: 10.1007/s10639-010-9149-1. http://download.springer.com/static/pdf/573/art%253A10.1007%252Fs10639-010-9149-1.pdf?auth66=1398547037_849a524bcd42be568e4d014600e5aea3&ext=.pdf CrossRefGoogle Scholar
  7. 7.
    Burnett, C.: Medium for empowerment or a ‘centre for everything’: students’ experience of control in virtual learning environments within a university context. Educ. Inf. Technol. 16(3), 245–258 (2011)CrossRefGoogle Scholar
  8. 8.
    Farrell, G., Leung, Y.: Innovative online assessment using confidence measurement. Educ. Inf. Technol. 9(1), 5–19 (2004). http://link.springer.com/article/10.1023%2FB%3AEAIT.0000024258.29560.3c#page-1 CrossRefGoogle Scholar
  9. 9.
    Marshall, G.: A trio of evaluation and assessment models from pre ICT innovations: lessons from the past. Educ. Inf. Technol. 15(1), 37–50 (2010)CrossRefGoogle Scholar
  10. 10.
    Kolb, D.: Experiential Learning. Prentice-Hall, Englewood Cliffs (1984)Google Scholar
  11. 11.
    Coll, C., Barberà, E., Onrubia, J.: La atención a la diversidad en las prácticas de evaluación. Infancia y Aprendizaje, GRINTIE 90, 111–132 (2000)CrossRefGoogle Scholar
  12. 12.
    Dochy, F., Segers, M.Y., Dierick, S.: Nuevas Vías de Aprendizaje y Enseñanza y sus Consecuencias: una Nueva Era de Evaluación. Revista de Docencia Universitaria, 2(2). Recuperado de http://revistas.um.es/redu/article/view/20051/19411
  13. 13.
    Guzmán, E., Conejo, R.: Self-assessment in a feasible. Adapt. Web-Based Test. Syst. IEEE Trans. Educ. 48(4), 688–695 (2005)Google Scholar
  14. 14.
    Mödritscher, F., Andergassen, M., Lai-Chong, E., García-Barrios, V.: Application of learning curves for didactic model evaluation: case studies. Int. J. Emerg. Technol. Learn. 8(4), 62–69 (2013)Google Scholar
  15. 15.
    Odeh, S., Qaraeen, O.: Evaluation methods and techniques for e-learning software for school students in primary stages. Int. J. Emerg. Technol. Learn. 2(3), 1–8 (2007)Google Scholar
  16. 16.
    Tedman, R., Loudon, R., Wallace, B., Pountney, H.: Integrating regular, on-line evaluation by students into the curriculum review process in an Australian medical program. Int. J. Emerg. Technol. Learn. 4(3), 59–66 (2009)Google Scholar
  17. 17.
    Samarakou, M., Papadakis, A., Fylladitakis, E., Hatziapostolou, A., Tsaganou, G., Gerrit, W.: An open learning environment for the diagnosis, assistance and evaluation of students based on artificial intelligence. Inter. J. Emerg. Technol. Learn. 9(3), 36–44 (2014)CrossRefGoogle Scholar
  18. 18.
    Dahmani, B., Mohammed, S., Catherine, C., Pierre, C.: Adaptive exercises generation using an automated evaluation and a domain ontology: the ODALA+ approach. Int. J. Emerg. Technol. Learn. 6(2), 4–10 (2011)Google Scholar
  19. 19.
    Rezgui, K., Mhiri, H., Ghédira, K.: An ontology-based profile for learner representation in learning networks. Int. J. Emerg. Technol. Learn. 9(3), 16–25 (2014)CrossRefGoogle Scholar
  20. 20.
    Ali, S., Abdel-Rahman, T., Jahankhani, H., Yarandi, M.: Towards an ontological learners? Modelling approach for personalised e-learning. Int. J. Emerg. Technol. Learn. 8(2), 4–10 (2013)Google Scholar
  21. 21.
    Hackelbusch, R.: Ontological representation of academic programs. Int. J. Emerg. Technol. Learn. 1(3), 1–3 (2006)Google Scholar
  22. 22.
    Capuano, N., Mangione, G., Pierri, A., Salerno, S.: Personalization and contextualization of learning experiences based on semantics. Int. J. Emerg. Technol. Learn. 9(7), 5–14 (2014)CrossRefGoogle Scholar
  23. 23.
    Mencke, S., Dumke, R.: Didactical ontologies. Int. J. Emerg. Technol. Learn. 3(1), 65–73 (2008)Google Scholar
  24. 24.
    Hayashi, Y., Bourdeau, J., Mizoguchi, R.: Using ontological engineering to organize learning/instructional theories and build a theory-aware authoring system. Int. J. Artif. Intell. Educ. 19, 211–252 (2009)Google Scholar
  25. 25.
    Colace, F., De Santo, M., Greco, L.: E-learning and personalized learning path: a proposal based on the adaptive educational hypermedia system. Int. J. Emerg. Technol. Learn. 9(2), 9–16 (2014)CrossRefGoogle Scholar
  26. 26.
    Abik, M., Ajhoun, R.: Normalization and personalization of learning situation: NPLS. Int. J. Emerg. Technol. Learn. 4(2), 4–10 (2009)CrossRefGoogle Scholar
  27. 27.
    Jovanovic, D., Milosevic, D., Zizovic, M.: INDeLER: eLearning personalization by mapping student’s learning style and preference to metadata. Int. J. Emerg. Technol. Learn. 3(4), 41–50 (2008)CrossRefGoogle Scholar
  28. 28.
    Saul, C., Wuttke, H.: An adaptation model for personalized e-assessments. Int. J. Emerg. Technol. Learn. 8, 5–12 (2013)CrossRefGoogle Scholar
  29. 29.
    Swinke, T.: A unique, culture-aware, personalized learning environment. Int. J. Emerg. Technol. Learn. 7, 31–36 (2012)CrossRefGoogle Scholar
  30. 30.
    Herrmann Ned, S.L.M.: The Creative Brain. Brain Books, Búfalo (1989)Google Scholar
  31. 31.
    Silva-López, R.B., Silva-López, M.I., Méndez-Gurrola, I., Bravo, M., Sánchez, V.: GODeM: a graphical ontology design methodology. Res. Comput. Sci. 84(2014), 17–28 (2014)Google Scholar
  32. 32.
    Silva-López, R.B., Méndez-Gurrola, I.I., Herrera, O.: Metamodelo de aprendizaje estratégico (MAE): Arquitectura de la capa de infraestructura, solución basada en la cloud computing. Res. Comput. Sci. 93(2015), 175–188 (2015)Google Scholar
  33. 33.
    Silva-López, R., Méndez-Gurrola, I., Sánchez-Arias, V.: Strategic learning, towards a teaching reengineering. Res. Comp. Sci. 65(2013), 133–145 (2013)Google Scholar
  34. 34.
    Silva-López, R.B., Silva-López, M., Méndez-Gurrola, I.I., Bravo, M.: Onto design graphics (ODG): a graphical notation to standardize ontology design. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds.) MICAI 2014, Part I. LNCS, vol. 8856, pp. 443–452. Springer, Heidelberg (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Rafaela Blanca Silva-López
    • 1
  • Iris Iddaly Méndez-Gurrola
    • 1
  • Oscar Herrera Alcántara
    • 1
  • Mónica Irene Silva-López
    • 1
  • Jalil Fallad-Chávez
    • 2
  1. 1.Universidad Autónoma MetropolitanaDistrito FederalMexico
  2. 2.Universidad de Guadalajara, Centro Universitario de La Costa SurAutlán de NavarroMexico

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