Skip to main content

The Side Effect of Learning Analytics: An Empirical Study on e-Learning Technologies and User Privacy

  • Conference paper
  • First Online:
Computers Supported Education (CSEDU 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 739))

Included in the following conference series:

Abstract

Student monitoring, the most common practice in Learning Analytics (LA), has become easier and more efficient thanks to the use of tracking approach that consists of collecting data of users and of their interactions throughout learning platforms. While LA gives considerable assistance to the tutors in the tasks of monitoring online learning, it also creates major drawbacks for the learners. For instance, tracking approach in LA raises many privacy questions. As for the learners, knowing that their personal data are being used, even for educational purposes, they could radically change their perception on e-learning technologies. Not to mention that these concerns would have a strong impact, sometimes very negatively, on not only their behaviors but also their learning outcomes. To better understand the side effect of LA, more particularly the privacy issues in e-learning, the research effort presented in this paper covers two main aspects. First, it outlines various tracking approaches in e-learning. Second, it analyzes how the learners perceive the use of their personal data and the related privacy issues. To do so, an experiment has been carried out with the participation of students from three different universities in France and one university in Germany. The major contribution of this paper is the awareness-raising of privacy concerns in exploiting tracking data in e-learning, which are often overlooked by researchers and learning content providers.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. May, M., George, S.: Privacy concerns in e-learning: is using tracking system a threat? Int. J. Inf. Educ. Technol. 1, 1–8 (2011)

    Google Scholar 

  2. Popovici, A., Mironov, C.: Students’ perception on using eLearning technologies. Procedia – Soc. Behav. Sci. 180, 1514–1519 (2015)

    Article  Google Scholar 

  3. Gaur, S., Chaudhary, A., Mittal, M.: A comparative study of e-learning technique with traditional teaching techniques. Int. J. Innovative Res. Electr. Electron. Instrum. Control Eng. 3, 23–25 (2015)

    Article  Google Scholar 

  4. Scott, P., Vanoirbeek, C.: Technology-Enhanced Learning (2007)

    Google Scholar 

  5. Manson, P.: Technology-Enhanced Learning: Supporting Learning in the 21st Century (2007)

    Google Scholar 

  6. Gamage, D., Fernando, S., Perera, I.: Factors affecting to effective eLearning: learners perspective. Sci. Res. J. (SCIRJ) 2, 42–48 (2014)

    Google Scholar 

  7. Lau, R.W.H., Yen, N.Y., Li, F., Wah, B.: Recent development in multimedia e-learning technologies. World Wide Web 17, 189–198 (2013)

    Article  Google Scholar 

  8. Mazza, R., Botturi, L.: Monitoring an online course with the GISMO tool: a case study. Int. J. Interact. Learn. Res. 18, 251–265 (2007)

    Google Scholar 

  9. Corbi, A.: Review of current student-monitoring techniques used in eLearning-focused recommender systems and learning analytics. Int. J. Artif. Intell. Interact. Multimedia 2, 44–52 (2014)

    Article  Google Scholar 

  10. May, M., George, S., Prévôt, P.: TrAVis to enhance online tutoring and learning activities: real time visualization of students tracking data. Int. J. Interact. Technol. Smart Educ. 8, 52–69 (2011)

    Article  Google Scholar 

  11. Choquet, C., Iksal, S.: Modeling tracks for the model driven reengineering of a TEL system. JILR 18, 161–184 (2007)

    Google Scholar 

  12. Gómez-Aguilar, D.A., Hernández-García, Á., García-Peñalvo, F.J., Therón, R.: Tap into visual analysis of customization of grouping of activities in eLearning. Comput. Hum. Behav. 47, 60–67 (2015)

    Article  Google Scholar 

  13. Qahmash, A.I.: The impact of e-learning as educational method on student’s learning progress. J. Emerg. Trends Comput. Inf. Sci. 4, 601–605 (2013)

    Google Scholar 

  14. Jermann, P., Soller, A., Muehlenbrock, M.: From mirroring to guiding: a review of state of the art technology for supporting collaborative learning. In: Proceedings of the First European Conference on Computer-Supported Collaborative Learning, Maastricht, The Netherlands, pp. 324–331 (2001)

    Google Scholar 

  15. Martinez Mones, A., Dimitriadis, Y., Morch, A., Ludvigsen, S., Herrer, A., Hoppe, U., Barros, B., Verdejo, F., Hulshof, C., Jong, T., Fessakis, G., Petrou, A., Dimitracopoulou, A., Lund, K., Baker, M., Jermann, P., Dillenbourg, P., Kollias, V., Vosniadou, S.: State of the art on interaction analysis: interaction analysis indicators. Interaction & Collaboration Analysis Supporting Teachers and Students’ Self-regulation, 148 pages (2004)

    Google Scholar 

  16. Alowayr, A., Badii, A.: Review of monitoring tools for e-learning platforms. Int. J. Comput. Sci. Inf. Technol. 6, 79–86 (2014)

    Google Scholar 

  17. Burdescu, D.D., Mihăescu, M.C.: Building intelligent e-learning systems by activity monitoring and analysis. In: Tsihrintzis, G.A., Jain, L.C. (eds.) Multimedia Services in Intelligent Environments, pp. 153–174. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  18. Hardy, J., Antonioletti, M., Bates, S.: E-learner tracking: tools for discovering learner behavior. In: IASTED International Conference on Web-based Education, Austria, pp. 458–463 (2004)

    Google Scholar 

  19. Jeske, D., Backhaus, J., Stamov Roßnagel, C.: Self-regulation during e-learning: using behavioural evidence from navigation log files. J. Comput. Assist. Learn. 30, 272–284 (2014)

    Article  Google Scholar 

  20. Mehra, S.: Emerging trends in learning management systems. Int. J. Comput. Sci. Issues 12, 79–83 (2015)

    Google Scholar 

  21. Softic, S., Taraghi, B., Ebner, M., Vocht, L., Mannens, E., Walle, R.: Monitoring learning activities in PLE using semantic modelling of learner behaviour. In: Holzinger, A., Ziefle, M., Hitz, M., Debevc, M. (eds.) SouthCHI 2013. LNCS, vol. 7946, pp. 74–90. Springer, Heidelberg (2013). doi:10.1007/978-3-642-39062-3_5

    Chapter  Google Scholar 

  22. Kim, J.., Gunn, D.., Schuh, E., Phillips, B., Pagulayan, R.., Wixon, D.: Tracking real-time user experience (TRUE): a comprehensive instrumentation solution for complex systems. In: SIGCHI Conference on Human Factors in Computing Systems, Florence, Italy, pp. 443–452 (2008)

    Google Scholar 

  23. Popescu, E., Cioiu, D.: Instructor support for monitoring and visualizing students’ activity in a social learning environment. In: 2012 IEEE 12th International Conference on Advanced Learning Technologies (ICALT), pp. 371–373 (2012)

    Google Scholar 

  24. Pozzi, F., Manca, S., Persico, D., Sarti, L.: A general framework for tracking and analysing learning processes in computer-supported collaborative learning environments. Innovations Educ. Teach. Int. 44, 169–179 (2007)

    Article  Google Scholar 

  25. May, M., George, S., Prévôt, P.: TrAVis to enhance online tutoring and learning activities: real time visualization of students tracking data. In: IADIS International Conference on E-learning, Freiburg, Germany, pp. 57–64 (2010)

    Google Scholar 

  26. Berge, Z., Collins, M.: Computer-mediated communication and the online classroom in distance learning. Compu.-Mediated Commun. Mag. 2, 6 (1995)

    Google Scholar 

  27. May, M., George, S., Prévôt, P.: A closer look at tracking human & computer interactions in web-based communications. ITSE 5, 170–188 (2008)

    Google Scholar 

  28. May, M., George, S., Prévôt, P.: Tracking human-computer interactions in e-learning: an application to computer mediated communications. In: IADIS International Conference on Interfaces and Human Computer Interaction, Freiburg, Germany, pp. 163–170 (2010)

    Google Scholar 

  29. Lekira, A., Després, C., Jacoboni, P., Choquet, C., Iksal, S.: Using indicators during synchronous tutoring of practical work. In: The 11th IEEE International Conference on Advanced Learning Technologies, pp. 568–572 (2011)

    Google Scholar 

  30. Dimitracopoulou, A.: Computer based interaction analysis supporting self-regulation: achievements and prospects of an emerging research direction. Technol. Inst. Cognition Learn. (TICL) 6, 291–314 (2008)

    Google Scholar 

  31. May, M., George, S.: Using learning tracking data to support students’ self-monitoring. In: International Conference on Computer Supported Education, Noordwijkerhout, The Netherlands, pp. 46–55 (2011)

    Google Scholar 

  32. de Groot, R., Drachman, R., Hever, R., Schwarz, B., Hoppe, U., Harrer, A., De Laat, M., Wegerif, R., McLaren, B., Baurens, B.: Computer supported moderation of e-discussions: the ARGUNAUT approach. In: International Conference of Computer Supported Collaborative Learning, New Jersey, USA, pp. 165–167 (2007)

    Google Scholar 

  33. Gerosa, M.., Pimentel, M., Fuks, H., Lucena, G.: Analyzing discourse structure to coordinate educational forums. In: The 7th International Conference on Intelligent Tutoring Systems, Maceiò, Alagoas, Brazil, pp. 262–272 (2004)

    Google Scholar 

  34. Brooks, C., Panesar, R., Greer, J.: Awareness and collaboration in the iHelp courses content management system. In: Nejdl, W., Tochtermann, K. (eds.) EC-TEL 2006. LNCS, vol. 4227, pp. 34–44. Springer, Heidelberg (2006). doi:10.1007/11876663_5

    Chapter  Google Scholar 

  35. Donath, J.: A semantic approach to visualizing online conversations. Commun. ACM 45, 45–49 (2002)

    Article  Google Scholar 

  36. Shaul, M.: Assessing online discussion forum participation. Int. J. Inf. Commun. Technol. Educ. 3, 39–46 (2007)

    Article  Google Scholar 

  37. Gibbs, W., Olexa, V., Bernas, R.: A visualization tool for managing and studying online communications. Int. J. Educ. Technol. Soc. 9, 232–243 (2006)

    Google Scholar 

  38. Mazza, R., Dimitrova, V.: CourseVis: externalising student information to facilitate instructors in distance learning. In: Artificial Intelligence in Education, Sydney, Australia, pp. 279–86 (2003)

    Google Scholar 

  39. Bratitsis, T., Dimitracopoulou, A.: Data recording and usage interaction analysis in asynchronous discussions: the D.I.A.S. system. In: Proceedings of the 12th International Conference on Artificial Intelligence in Education AIED, Workshop Usage Analysis in Learning Systems, Amsterdam, The Netherlands, 9 pages (2005)

    Google Scholar 

  40. Coffrin, C., Corrin, L., de Barba, P., Kennedy, G.: Visualizing patterns of student engagement and performance in MOOCs. In: Proceedings of the Fourth International Conference on Learning Analytics And Knowledge, pp. 83–92. ACM, New York (2014)

    Google Scholar 

  41. Leony, D., Pardo, A., de la Fuente Valentín, L., de Castro, D.S., Kloos, C.D.: GLASS: a learning analytics visualization tool. In: Proceedings of the 2Nd International Conference on Learning Analytics and Knowledge, pp. 162–163. ACM, New York (2012)

    Google Scholar 

  42. Bandara, I., Ioras, F., Maher, K.: Cyber security concerns in e-learning education. In: ICERI2014 Proceedings, pp. 728–734 (2014)

    Google Scholar 

  43. Esposito, A.: Research ethics in emerging forms of online learning: issues arising from a hypothetical study on a MOOC. Electron. J. e-Learning 10, 315–325 (2012)

    Google Scholar 

  44. Ivanova, M., Grosseck, G., Holotescu, C.: Researching data privacy models in eLearning. In: 2015 International Conference on Information Technology Based Higher Education and Training (ITHET), pp. 1–6 (2015)

    Google Scholar 

  45. Roca, J.C., García, J.J., de la Vega, J.J., JC: The importance of perceived trust, security and privacy in online trading systems. Info. Mngmnt. Comp. Secur. 17, 96–113 (2009)

    Article  Google Scholar 

  46. Brown, T.: Ethics in eLearning. In: Workshop for Net Business Ethics, Honolulu, Hawaii, pp. 1–6 (2008)

    Google Scholar 

  47. Kanuka, H., Anderson, T.: Ethical issues in qualitative e-learning research. Int. J. Qual. Methods 6, 1–14 (2007)

    Article  Google Scholar 

  48. Klobucar, T., Jenabi, M., Kaibel, A., Karapidis, A.: Security and Privacy Issues in Technology Enhanced Learning. IOS Press, Amsterdam (2007)

    Google Scholar 

  49. Anwar, M., Greer, J.: Reputation management in privacy-enhanced e-learning. In: Proceedings of the 3rd Annual Scientific Conference of the LORNET Research Network, Montreal, Canada, 6 pages (2006)

    Google Scholar 

  50. Ben Arfa Rabai, L., Rjaibi, N., Ben Aissa, A.: Quantifying security threats for e-learning systems. In: 2012 International Conference on Education and e-Learning Innovations (ICEELI), pp. 1–6. IEEE (2012)

    Google Scholar 

  51. Yong, J.: Security and privacy preservation for mobile e-learning via digital identity attributes. J. Univ. Comput. Sci. 17, 296–310 (2011)

    Google Scholar 

  52. Borcea-Pfitzmann, K., Liesebach, K., Pfitzmann, A.: Establishing a privacy-aware collaborative eLearning environment. In: Proceedings of the EADTU Annual Conference 2005: Towards Lisbon 2010: Collaboration for Innovative Content in Lifelong Open and Flexible Learning, 8 pages, Rome (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Madeth May .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

May, M., Iksal, S., Usener, C.A. (2017). The Side Effect of Learning Analytics: An Empirical Study on e-Learning Technologies and User Privacy. In: Costagliola, G., Uhomoibhi, J., Zvacek, S., McLaren, B. (eds) Computers Supported Education. CSEDU 2016. Communications in Computer and Information Science, vol 739. Springer, Cham. https://doi.org/10.1007/978-3-319-63184-4_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-63184-4_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63183-7

  • Online ISBN: 978-3-319-63184-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics