Skip to main content
Springer Nature Link
Log in

Towards Formally Prioritizing the Activities of Group Course Work Inside Student Teams

  • Conference paper
  • First Online:
Interactive Collaborative Learning (ICL 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 545))

Included in the following conference series:

  • 1501 Accesses

Abstract

Learning to prioritize different activities effectively can help many students to become more efficient towards their work, managing time, energy, and stress. This paper presents an automated tool that helps students and teaches them how, as a team, can prioritize group work. The tool is based on a formal prioritization mechanism that encompasses a model and related process that takes into account the relative importance of each activity from each individual of the group. From individual judgment, the tool works out a prioritized list that reflects the group prioritization. The model is based on a sound mathematical basis to provide the automated support for the prioritization process that will be conducted by each team member while keeping the subjective viewpoint of each member. As a final step, the tool automatically computes the group final prioritized list of activities that reflects the team consensus.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. www.pcrest2.com

  2. www.wikihow.com

  3. www.puskice.org

  4. businessanalystmentor.com

  5. psc-ir.com

  6. NourRazia et al.: A comparative study for prioritization techniques. In: the 1st Informatics Conference (ICF – 2015), 27–29 November 2015, Port Dickson, Negeri Sembilan, Malaysia (2015)

    Google Scholar 

  7. Gosenheimer, C.: Project prioritization: a structured approach to working on what matters most. University of Wisconsin System Board of Regents (2012)

    Google Scholar 

  8. Group Study: Making it Work for You. Carnegie Mellon University Academic Development. www.cmu.edu/acadev. Accessed 01 May 2016

  9. Effective Decision Making in Teams. http://www.foundationcoalition.org/teams. Accessed 18 Apr 2016

  10. Berander, P., Andrews, A.: Requirements prioritization. In: Aurum, A., Wohlin, C. (eds.) Engineering and Managing Software Requirements, pp. 69–94. Springer, Berlin (2005)

    Chapter  Google Scholar 

  11. Waters, K.: Prioritization using MoSCoW. http://www.allaboutagile.com/prioritization-using-moscow/. Accessed 11 Apr 2016

  12. Baer, D.: Dwight Eisenhower nailed a major insight about productivity. Business Insider (2014). http://www.businessinsider.com/dwight-eisenhower-nailed-a-major-insight-about-productivity-2014-4. Accessed 28 Mar 2015

  13. “Action Priority Matrix” an e-book published by MIND Tools Limited (2009). http://inspiredindividuals.org/wp-content/uploads/2012/06/Time-Management-Toolkit2.pdf. Accessed 10 May 2016

  14. Karlsson, J., Wohlin, C., Regnell, B.: An evaluation of methods for prioritizing software requirements. Inf. Softw. Technol. 39(14–15), 939–947 (1998)

    Article  Google Scholar 

  15. Avesani, P., Bazzanella, C., Perini, A., Susi, A.: Facing scalability issues in requirements prioritization with machine learning techniques. In: Proceedings of 13th IEEE International Conference on Requirements Engineering, pp. 297–305 (2015)

    Google Scholar 

  16. Karlsson, J., Ryan, K.: A cost-value approach for prioritizing requirements. IEEE Softw. 14, 67–74 (1997)

    Article  Google Scholar 

  17. Jawale, B., Bhole, A.T.: Adaptive fuzzy hierarchical cumulative voting: a novel approach toward requirement prioritization. Int. J. Res. Eng. Technol. 4(5), 365–370 (2015)

    Article  Google Scholar 

  18. Saaty, T.L.: The analytic hierarchy process. NY, McGraw-Hill, New York (1980)

    MATH  Google Scholar 

  19. Aaqib Iqbal, Farhan, M. Khan, Shahbaz, A. Khan, “A Critical Analysis of Techniques for Requirement Prioritization and Open Research Issues.” International Journal of Reviews in Computing. Vol. 1., 2009

    Google Scholar 

  20. Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1), 83–98 (2008)

    MathSciNet  Google Scholar 

  21. Danesh, S., Ahmad, R.: Study of prioritization techniques using students as subjects. In: Proceedings of the 2009 International Conference on Information Management and Engineering, ICIME 2009, pp. 390–394. IEEE Computer Society, Washington, DC (2009)

    Google Scholar 

  22. Hatton, S.: Early prioritisation of goals. In: Hainaut, J.-L. (ed.) ER 2007. LNCS, vol. 4802, pp. 235–244. Springer, Heidelberg (2007). doi:10.1007/978-3-540-76292-8_29

    Chapter  Google Scholar 

  23. Firesmith, D.: Prioritizing requirements. J. Object Technol. 3(8), 35–47 (2004)

    Article  Google Scholar 

  24. Herrmann, A., Daneva, M.: Requirements prioritization based on benefit and cost prediction: an agenda for future research. In: Proceedings of the 16th IEEE International Requirements Engineering Conference, pp. 125–134 (2008)

    Google Scholar 

  25. Khari, M., Kumar, N.: Comparison of six prioritization techniques for software requirements. J. Global Res. Comput. Sci. 4(1), 38–43 (2013)

    Google Scholar 

  26. Ramzan, M., Jaffar, M.A., Shahid, A.A.: Value based intelligent requirement prioritization (Virp): expert driven fuzzy logic based prioritization technique. Int. J. Innov. Comput. Inf. Control 7(3), 1017–1038 (2011)

    Google Scholar 

  27. Thakurta, R.: A framework for prioritization of quality requirements for inclusion in a software project. Softw. Qual. J. 21(4), 573–597 (2013). Springer

    Article  Google Scholar 

  28. Saranya, B., Subha, R., Palaniswami, S.: A survey on prioritization methodologies to prioritize non-functional requirements. Int. J. Comput. Sci. Bus. Inf. 12(1), 32–44 (2014)

    Google Scholar 

  29. Zajarosova, M.: CRM factors assessment using analytic hierarchy process. In: Proceedings of 2nd International Conference on Education and Social Sciences, INTCESS 2015, 2–4 February 2015, Istanbul, Turkey, pp. 641–647 (2015)

    Google Scholar 

  30. Badri, M., Al Qubaisi, A., Mohaidat, J., Al Dhaheri, H., Yang, G., Al Rashedi, A., Greer, K.: An analytic hierarchy process for school quality and inspection. Int. J. Educ. Manag. 30(3), 437–459 (2016)

    Article  Google Scholar 

  31. Norddin, N., Ahmad, N., Yusof, Z.M.: Selecting best employee of the year using analytical hierarchy process. J. Basic Appl. Sci. Res. 5(11), 72–76 (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Informatics and Computer Science, The British University in Egypt, Cairo, Egypt

    Osman Ibrahim & M. Samir Abou El-Seoud

Authors
  1. Osman Ibrahim
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. Samir Abou El-Seoud
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Samir Abou El-Seoud .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences, Villach, Austria

    Michael E. Auer

  2. International E-Learn Asso&Kaleid Learni, New York, New York, USA

    David Guralnick

  3. Ulster University, Belfast, Ireland

    James Uhomoibhi

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Ibrahim, O., El-Seoud, M.S.A. (2017). Towards Formally Prioritizing the Activities of Group Course Work Inside Student Teams. In: Auer, M., Guralnick, D., Uhomoibhi, J. (eds) Interactive Collaborative Learning. ICL 2016. Advances in Intelligent Systems and Computing, vol 545. Springer, Cham. https://doi.org/10.1007/978-3-319-50340-0_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-50340-0_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50339-4

  • Online ISBN: 978-3-319-50340-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics