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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 8

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems

Pitfalls of E-education: from multimedia to digital dementia?

DOI: http://dx.doi.org/10.15439/2016F356

Citation: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 8, pages 913920 ()

Full text

Abstract. This paper presents lessons learned from nearly 25 years long experiences with different forms of E-education. All experiences are definitely positive but during conducted research many pitfalls and traps were recognized and observed. Widely used multimedia materials do not motivate weak students to learn. Instead of learning they do prefer to watch materials in a passive way. Mobile learning in which all materials are available also for smartphones increased this attitude to learning. All quizzes and tests even very sophisticated cannot replace a real exam. Knowledge of the answers on hundreds of questions is not equal to the real knowledge of a certain field. Flipped classroom paradigm forcing to learn at home was not accepted by students. Moreover, E-education creates chances for e-cheating. All these pitfalls and traps lead to the conclusion that E-education is not a straightforward remedy for all current education problems.

References

  1. E. Dale, Audio-visual methods in teaching. The Dryden Press, 1946.
  2. B. S. Bloom, Taxonomy of Educational Objectives Book 1: Cognitive Domain, 2nd edition. Addison Wesley Publishing Company, 1984.
  3. L. W. Anderson, D. R. Krathwohl, P. W. Airasian, K. A. Cruikshank, R. E. Mayer, P. R. Pintrich, J. Raths, and M. C. Wittrock, A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom’s Taxonomy of Educational Objectives, Abridged Edition, 2nd ed. Pearson, 2000.
  4. R. R. Gajewski, “O stylach uczenia sie i I-edukacji,” E-Mentor, vol. 3, no. 4, pp. 28–35, 2005.
  5. O. Mironova, T. Rüütmann, I. Amitan, J. Vilipõld, and M. Saar, “Computer Science E-Courses for Students with Different Learning Styles,” in Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013, pp. 735–738.
  6. O. Mironova, I. Amitan, J. Vendelin, M. Saar, and T. Rüütmann, “Strategies for the Individualization of an Informatics Course,” in Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 2014, vol. 2, p. pages 835–840., http://dx.doi.org/10.15439/2014F259.
  7. M. J. Lage, G. J. Platt, and M. Treglia, “Inverting the Classroom: A Gateway to Creating an Inclusive Learning Environment,” J. Econ. Educ., vol. 31, no. 1, pp. 30–43, 2000, DOI: 10.1080/00220480009596752.
  8. J. Foertsch, G. Moses, J. Strikwerda, and M. Litzkow, “Reversing the Lecture/Homework Paradigm Using eTEACH® Web-based Streaming Video Software,” J. Eng. Educ., vol. 91, no. 3, pp. 267– 274, Jul. 2002, http://dx.doi.org/10.1002/j.2168-9830.2002.tb00703.x.
  9. R. Scheines, J. Smith, G. Leinhardt, and K. Cho, “Replacing lecture with Web-based course materials,” J. Educ. Comput. Res., vol. 32, pp. 1–26, 2003.
  10. J. A. Day and J. D. Foley, “Evaluating a Web Lecture Intervention in a Human-Computer Interaction Course,” IEEE Trans Educ, vol. 49, no. 4, pp. 420–431, Nov. 2006, http://dx.doi.org/10.1109/TE.2006.879792.
  11. G. C. Gannod, “Work in progress; Using podcasting in an inverted classroom,” in Frontiers In Education Conference - Global Engineering: Knowledge Without Borders, Opportunities Without Passports, 2007. FIE ’07. 37th Annual, 2007, p. S3J–1–S3J–2, http://dx.doi.org/10.1109/FIE.2007.4418119.
  12. M. T. Helmick, “Integrated Online Courseware for Computer Science Courses,” in Proceedings of the 12th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, New York, NY, USA, 2007, pp. 146–150, DOI: 10.1145/1268784.1268828.
  13. G. C. Gannod, J. E. Burge, and M. T. Helmick, “Using the Inverted Classroom to Teach Software Engineering,” in Proceedings of the 30th International Conference on Software Engineering, New York, NY, USA, 2008, pp. 777–786, http://dx.doi.org/10.1145/1368088.1368198.
  14. J. Bergmann, A. Sams, and EBSCOhost, Flip your classroom: reach every student in every class every day. Eugene, Or: International Society for Technology in Education, 2012.
  15. J. Bretzmann, Flipping 2.0. Bretzmann Group LLC, 2013.
  16. K. Walsh and P. J. Walsh, Flipped Classroom Workshop in a Book, 1 edition. Kelly Walsh, 2013.
  17. G. B. Johnson, “Student Perceptions on the Flipped Classroom.” The University of British Columbia, 2013.
  18. D. Bryson, “Using Flashcards to Support Your Learning,” J. Vis. Commun. Med., vol. 35, no. 1, pp. 25–29, Mar. 2012, http://dx.doi.org/10.3109/17453054.2012.655720.
  19. M. W. Allen, Designing Successful e-Learning: Forget What You Know About Instructional Design and Do Something Interesting. Pfeiffer, 2007.
  20. M. Ally, Ed., Mobile Learning: Transforming the Delivery of Education and Training. Athabasca University Press, 2009.
  21. H. Crompton, “A Historical Overview of m-Learning,” in Handbook of Mobile Learning, 1 edition., Z. L. Berge and L. Muilenburg, Eds. New York: Routledge, 2013, pp. 3–14.
  22. Z. L. Berge and L. Muilenburg, Eds., Handbook of Mobile Learning, 1 edition. New York: Routledge, 2013.
  23. I. A. Alshalabi and K. Elleithy, “Effective M-learning design Strategies for computer science and Engineering courses,” Int. J. Mob. Netw. Commun. Telemat., vol. 2, no. 1, pp. 1–11, 2012, http://dx.doi.org/10.5121/ijmnct.2012.2101.
  24. I. A. Alshalabi, Sa. Hamada, and K. Elleithy, “Research Learning Theories that Entail M-Learning Education Related to Computer Science and Engineering Courses,” Int. J. Eng. Sci., vol. 2, no. 3, pp. 88–95, 2013.
  25. H. Crompton, “Mobile Learning: New Approach, New Theory,” in Handbook of Mobile Learning, 1 edition., Z. L. Berge and L. Muilenburg, Eds. New York: Routledge, 2013, pp. 47–58.
  26. E. Mavis and S. E. Feldman, “College cheating as a function of subject and situational variables,” J. Educ. Psychol., vol. 55, no. 4, pp. 212–218, 1964, http://dx.doi.org/10.1037/h0045337.
  27. V. J. Haines, G. M. Diekhoff, E. E. LaBeff, and R. E. Clark, “College cheating: Immaturity, lack of commitment, and the neutralizing attitude,” Res. High. Educ., vol. 25, no. 4, pp. 342–354, 1986, http://dx.doi.org/10.1007/BF00992130.
  28. G. M. Diekhoff, E. E. LaBeff, R. E. Clark, L. E. Williams, B. Francis, and V. J. Haines, “College cheating: Ten years later,” Res. High. Educ., vol. 37, no. 4, pp. 487–502, 1996, http://dx.doi.org/10.1007/BF01730111.
  29. K. O. Jones, J. Reid, and R. Bartlett, “E-learning and E-cheating,” presented at the 3rd E-Learning Conference, Coimbra, Portugal, 2006, pp. 45–48.
  30. K. O. Jones, J. Reid, and R. Bartlett, “E-learning and E-cheating,” Commun. Cogn. Monogr., vol. 41, no. 1–2, pp. 61–70, 2008.
  31. K. O. Jones, J. Reid, and R. Bartlett, “Cyber Cheating in an Information Technology Age,” Digithum, no. 10, pp. 19–28, 2008, http://dx.doi.org/10.7238/d.v0i10.508.
  32. Z. Ercegovac and J. V. Richardson, “Academic Dishonesty, Plagiarism Included, in the Digital Age: A Literature Review,” Coll. Res. Libr., vol. 65, no. 4, pp. 301–318, Jul. 2004, http://dx.doi.org/10.5860/crl.65.4.301.
  33. M. Bouville, “Why is Cheating Wrong?,” Stud. Philos. Educ., vol. 29, no. 1, pp. 67–76, Aug. 2009, http://dx.doi.org/10.1007/s11217-009-9148-0.
  34. R. R. Gajewski, “IT in Educational Management: Can it Support Solution of e-Cheating Problem?,” presented at the SAITE 2016, Minho, 2016.
  35. H. Zhou and S. S. Lan, “A Comparative Analysis On Students’ Perceptions And Attitudes Towards Academic Dishonesty Between Students In China And In The United States,” in Proceedings of the Spring 2007 American Society for Engineering Education Illinois-Indiana Section Conference, 2007.
  36. Z. Khan and S. Subramanian, “Students go click, flick and cheat... e-cheating, technologies and more,” J. Acad. Bus. Ethics, vol. 6, pp. 1–26, 2012.
  37. G. G. Ravasco, “Technology-Aided Cheating in Open and Distance e-Learning,” Asian J. Distance Educ., vol. 10, no. 2, pp. 71–77, 2012.
  38. G. G. Ravasco, “Technology-Aided Cheating in ODeL: What Else Do We Need to Know?,” in Creating Spaces and Possibilities, 2012.
  39. J. Sheard, M. Dick, S. Markham, I. Macdonald, and M. Walsh, “Cheating and plagiarism: perceptions and practices of first year IT students,” ACM SIGCSE Bull., vol. 34, no. 3, pp. 183–187, 2002, http://dx.doi.org/10.1145/544465.544468.
  40. J. Sheard and M. Dick, “Computing student practices of cheating and plagiarism: a decade of change.,” in The 16th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, ITiCSE 2011, Darmstadt, Germany, June 27-29, 2011, 2011, pp. 233–237, http://dx.doi.org/10.1145/1999747.1999813.
  41. R. Likert, “A Technique for the Measurement of Attitudes,” Arch. Psychol., no. 140, pp. 1–55, 1932.
  42. M. Spitzer, Digitale Demenz. Droemer Knaur, 2012.
  43. M. Spitzer, The Mind within the Net: Models of Learning, Thinking, and Acting, 1st edition. The MIT Press, 1999.
  44. L. Dossey, “FOMO, digital dementia, and our dangerous experiment,” Explore N. Y. N, vol. 10, no. 2, pp. 69–73, Apr. 2014, http://dx.doi.org/10.1016/j.explore.2013.12.008.
  45. R. R. Gajewski, “How to change the unchanging? Restructuring Polish universities for the XXI century,” in TelE-Learning, D. Passey and M. Kendall, Eds. Springer US, 2002, pp. 297–300.
  46. K. Illeris, Three Dimensions of Learning: Contemporary Learning Theory in the Tension Field Between the Cognitive, the Emotional and the Social. Malabar, Florida: Krieger Publishing Company, 2004.
  47. G. Cheetham and G. Chivers, “How professionals learn in practice: an investigation of informal learning amongst people working in professions,” J. Eur. Ind. Train., vol. 25, no. 5, pp. 247–292, 2001, http://dx.doi.org/10.1108/03090590110395870.