Skip to main content

A Methodology Approach to Evaluate Cloud-Based Infrastructures in Support for e-Assessment

  • Conference paper
  • First Online:
Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 96))

Abstract

In the last decade, cloud development has grown exponentially and increasingly companies, administrative and educational institutions decide to make the leap and turn their solutions to a cloud platform. In particular, cloud technologies are applicable to educational contexts, especially in online learning, as online universities historically have their educational services installed on-premises, but the trend is to move them to the cloud. This is mainly because of the evident non-functional benefits of using cloud-based solutions, such as high availability, scalability and real-time responsiveness, which are impossible or too much costly to be achieved on-premises Indeed, these benefits can effectively support the current broad and demanding educational services, such as document sharing, communication, assessment, administrative procedures and reporting tools, which must be available to an increasing number of students and university staff anytime and anywhere. However, from the architectural point of view, cloud-based systems pose some challenges not existing in traditional on-premises systems, such as modularization and separation of services, which require additional work to guarantee performance and data protection against potential risks. In this paper, we focus on the assessment services provided by an innovative cloud-based educational system named TeSLA, which may reduce considerably the university costs and infrastructure maintenance, while offering flexible and effective e-assessment solutions. The ultimate goal of the paper is to propose a methodology to evaluate the TeSLA system from the underlying cloud infrastructure in terms of non-functional requirements.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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

Notes

  1. 1.

    The Universitat Oberta de Catalunya (UOC) located in Barcelona, Spain, offers full distance higher education through the Internet since 1995. UOC's Virtual Campus supports currently about 75,000 students, lecturers and tutors who are involved in some of the 350 official degrees and other post-graduate programs. The UOC web site is found at: https://www.uoc.edu.

  2. 2.

    The TeSLA system (Trust-based authentication & authorship e-assessment analysis) is a project funded by the European Commission with the aim to provide educational institutions with an adaptive trust e-assessment system for assuring e-assessment processes in online environments. The TeSLA web site is found at: https://tesla-project.eu/.

References

  1. Talukder, A.K., Zimmerman, L.A.P.H.: Cloud economics: principles, costs, and benefits. In: Antonopoulos, N., Gillam, L. (eds.) Cloud Computing Computer Communications and Networks. Springer, London (2010)

    Google Scholar 

  2. Prieto, J., Gañán, D.: Engineering cloud-based technological infrastructure. In: Baneres, D., Guerrero-Roldán, A.E., Rodríguez-González, M.E. (eds.) Engineering Data-Driven Adaptive Trust-based e-Assessment Systems. Lecture Notes on Data Engineering and Communications Technologies, vol. 34, ch. 4. Springer. ISBN 978-3-030-29325-3 (2020, in press)

    Google Scholar 

  3. Pecori, R.: A virtual learning architecture enhanced by fog computing and big data streams. Future Internet 10(1), 4 (2018)

    Article  Google Scholar 

  4. González-Martínez, J.A., Bote-Lorenzo, M.L., Gómez-Sánchez, E., Cano-Parra, R.: Cloud computing and education: a state-of-the-art survey. Comput. Educ. 80, 132–151 (2015)

    Article  Google Scholar 

  5. Baneres, D., Rodríguez, M.E., Guerrero-Roldán, A.E., Baró, X.: Towards an adaptive e-assessment system based on trustworthiness. In: Caballé, S., Clarisó, R. (eds.) Formative Assessment, Learning Data Analytics and Gamification in ICT Education, pp. 25–47. Elsevier (2016)

    Google Scholar 

  6. Bañeres, D., Noguera, I., Rodríguez, M.E., Guerrero-Roldán, A.E.: Using an intelligent tutoring system with plagiarism detection to enhance e-assessment. In: INCoS 2018, pp. 363–372 (2018)

    Google Scholar 

  7. Rimal, B.P., Choi, E., Lumb, I.: A taxonomy and survey of cloud computing systems. In: Fifth International Joint Conference on NCM 2009, pp. 44–51. IEEE, August 2009

    Google Scholar 

  8. Jadeja, Y., Modi, K.: Cloud computing-concepts, architecture and challenges. In: 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET), pp. 877–880. IEEE (2012)

    Google Scholar 

  9. Rimal, B.P., Jukan, A., Katsaros, D., Goeleven, Y.: Architectural requirements for cloud computing systems: an enterprise cloud approach. J. Grid Comput. 9(1), 3–26 (2011)

    Article  Google Scholar 

  10. Tsai, W.T., Sun, X., Balasooriya, J.: Service-oriented cloud computing architecture. In: 2010 Seventh International Conference on Information Technology: New Generations (ITNG), pp. 684–689. IEEE, April 2010

    Google Scholar 

  11. Zimmermann, O.: Architectural refactoring for the cloud: a decision-centric view on cloud migration. Computing 99(2), 129–145 (2017)

    Article  MathSciNet  Google Scholar 

  12. Karim, B., Tan, Q., El Emary, I., Alyoubi, B.A., Costa, R.S.: A proposed novel enterprise cloud development application model. Memetic Comput. 8(4), 287–306 (2016)

    Article  Google Scholar 

  13. Felemban, M., Basalamah, S., Ghafoor, A.: A distributed cloud architecture for mobile multimedia services. IEEE Netw. 27(5), 20–27 (2013)

    Article  Google Scholar 

  14. Masud, M.A.H., Huang, X.: An e-learning system architecture based on cloud computing. Int. J. Comput. Electr. Autom. Control Inf. Eng. 6(2), 255–259 (2012)

    Google Scholar 

  15. Cook, J., Jenkins, V.: Getting Started with e-Assessment. University of Bath, Bath (2010)

    Google Scholar 

  16. Ala-Mutka, K.M.: A survey of automated assessment approaches for programming assignments. Comput. Sci. Educ. 15(2), 83–102 (2005)

    Article  Google Scholar 

  17. Ihantola, P., Ahoniemi, T., Karavirta, V., Seppälä, O.: Review of recent systems for automatic assessment of programming assignments. In: Proceedings of the 10th Koli Calling International Conference on Computing Education Research, pp. 86–93 (2010)

    Google Scholar 

  18. Weippl, E.: Security in e-Learning. Advances in Information Security, vol. 16. Springer (2005)

    Google Scholar 

  19. Neila, R., Rabai, L.B.A.: Deploying suitable countermeasures to solve the security problems within an e-learning environment. In: Proceedings of the 7th International Conference on Security of Information and Networks, pp. 33–38 (2014)

    Google Scholar 

  20. Okada, A., Noguera, I., Alexieva, L., Rozeva, A., Kocdar, S., Brouns, F., Ladonlahti, T., Whitelock, D., Guerrero-Roldán, A.: Pedagogical approaches for e-assessment with authentication and authorship verification in Higher Education. Br. J. Educ. Technol. (2019). https://doi.org/10.1111/bjet.12733

    Article  Google Scholar 

  21. Caballé, S.: A computer science methodology for online education research. Int. J. Eng. Educ. 35(2), 548–562 (2019)

    Google Scholar 

  22. Kay, R.H., Loverock, S.: Assessing emotions related to learning new software: the computer emotion scale. Comput. Hum. Behav. 24, 1605–1623 (2008)

    Article  Google Scholar 

  23. Brooke, J.: SUS: a ‘quick and dirty’ usability scale. In: Jordan, P.W., Thomas, B., Weerdmeester, B.A., McClelland, A.L. (eds.) Usability Evaluation in Industry, pp. 189–194, Taylor and Francis, London (1996)

    Google Scholar 

Download references

Acknowledgements

This work has been supported by Spanish Government through the Grant TIN2014-57364-C2-2-R “SMARTGLACIS and the H2020-ICT-2015/H2020-ICT-2015 T project ‘An Adaptive Trust-based e-assessment System for Learning’, Number 688520.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Josep Prieto .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Prieto, J., Gañán, D. (2020). A Methodology Approach to Evaluate Cloud-Based Infrastructures in Support for e-Assessment. In: Barolli, L., Hellinckx, P., Natwichai, J. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2019. Lecture Notes in Networks and Systems, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-030-33509-0_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-33509-0_49

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33508-3

  • Online ISBN: 978-3-030-33509-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics