Advertisement

Collaborative System for Learning Based on Questionnaires and Tasks

  • Manuel Romero Cantal
  • Alejandro Moreo Fernández
  • Juan Luis Castro Peña
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 239)

Abstract

Virtual Learning Environments allow to improve the learning interactivity in a collaborative scenario where the learning contents are proposed and accessed by both learners and teachers. In this work, we present CSLQT, a new Collaborative System for Learning based on Questionnaires and Tasks. This system is independent of any course structure or content, and provide users with functionalities to create, review, and evaluate new knowledge resources through questions and tasks. The benefits are two-fold: teachers are released from the tedious task of creating all resources, and students are encouraged to gain the necessary knowledge background before creating any new content. Additionally, a Fuzzy controller generates exams satisfying a customized set of objectives, that could be used for evaluation or auto-evaluation purposes. Our experiences with the system in real courses of the University of Granada indicate the tool is actually useful to improve the learning process.

Keywords

Collaborative Learning Resources Virtual Learning Environment Web Application 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Fernández-Manjón, B., Bravo-Rodríguez, J., Gómez-Pulido, J.A., Vega-Rodríguez, J.M.S.P.M.A.: Computers and Education: E-learning, from Theory to Practice. Springer (2007)Google Scholar
  2. 2.
    Alario-Hoyos, C., Bote-Lorenzo, M.L., Gómez-Sánchez, E., Asensio-Pérez, J.I., Vega-Gorgojo, G., Ruiz-Calleja, A.: Glue!: An architecture for the integration of external tools in virtual learning environments. Computers and Education 60(1), 122–137 (2013)CrossRefGoogle Scholar
  3. 3.
    Dillenbourg, P., Schneider, D., Synteta, P.: Virtual learning environments. In: Proceedings of the 3rd Hellenic Conference ”Information & Communication Technologies in Education”, pp. 3–18. Kastaniotis Editions, Greece (2002)Google Scholar
  4. 4.
    Weller, M., Dalziel, J.: Bridging the gap between web 2.0 and higher education. Pratical Benefits of Learning Design, 76–82 (2007)Google Scholar
  5. 5.
    Tsolis, D., Stamou, S., Christia, P., Kampana, S., Rapakoulia, T., Skouta, M., Tsakalidis, A.: An adaptive and personalized open source e-learning platform. Procedia-Social and Behavioral Sciences 9, 38–43 (2010)CrossRefGoogle Scholar
  6. 6.
    Sánchez, R.A., Hueros, A.D., Ordaz, M.G.: E-learning and the university of huelva: A study of webct and the technological acceptance model. Campus-Wide Information Systems 30(2), 5 (2013)CrossRefGoogle Scholar
  7. 7.
    Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340 (1989)Google Scholar
  8. 8.
    Chow, M., Herold, D.K., Choo, T.M., Chan, K.: Extending the technology acceptance model to explore the intention to use second life for enhancing healthcare education. Computers & Education (2012)Google Scholar
  9. 9.
    Escobar-Rodriguez, T., Monge-Lozano, P.: The acceptance of moodle technology by business administration students. Computers & Education 58(4), 1085–1093 (2012)CrossRefGoogle Scholar
  10. 10.
    Lonn, S., Teasley, S.D.: Saving time or innovating practice: Investigating perceptions and uses of learning management systems. Computers & Education 53(3), 686–694 (2009)CrossRefGoogle Scholar
  11. 11.
    Doukas, N., Andreatos, A.: Advancing electronic assessment. International Journal of Computers, Communications & Control 2(1), 56–65 (2007)Google Scholar
  12. 12.
    Perry, S., Bulatov, I., Roberts, E.: The use of e-assessment in chemical engineering education. Chemical Engineering 12 (2007)Google Scholar
  13. 13.
    Dib, H., Adamo-Villani, N.: An E-tool for assessing undergraduate students’ learning of surveying concepts and practices. In: Liñán Reyes, M., Flores Arias, J.M., González de la Rosa, J.J., Langer, J., Bellido Outeiriño, F.J., Moreno-Munñoz, A. (eds.) IT Revolutions. LNICST, vol. 82, pp. 189–201. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  14. 14.
    Verdegay-López, J., Castro, J.: Gsadq: Incorporando información difusa o con incertidumbre al diseño automático de cuestionarios. In: Conferencia de la Asociación Española para la Inteligencia Artificial (2002)Google Scholar
  15. 15.
    Romero, M., Moreo, A., Castro, J.: A cloud of faq: A highly-precise faq retrieval system for the web 2.0. Knowledge-Based Systems x(x) x–x (2013) (available online May 2, 2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Manuel Romero Cantal
    • 1
  • Alejandro Moreo Fernández
    • 1
  • Juan Luis Castro Peña
    • 1
  1. 1.Dep. of Computer Science and Artificial Intelligence, Centro de Investigación en Tecnologías de la Información, y las Telecomunicaciones (CITIC-UGR)University of GranadaGranadaSpain

Personalised recommendations