Advertisement

A Multi-agent Framework for Research Supervision Management

  • Omar Abdullatif Jassim
  • Moamin A. Mahmoud
  • Mohd Sharifuddin Ahmad
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 373)

Abstract

In this paper, we propose an agent-based framework to enhance, control and manage the research supervision process. The proposed framework consists of three phases which are Research Development Activities, Performance and Completion Measurement, and Tracking Activities. The Research Development Activities phase proposes a number of activities to develop a research. These activities consist of two layers, abstract and detail. Performance and Completion Measurement phase works on measuring a student performance and expected completion date. The Tracking Activities phase presents the proposed activities to track and trigger a student’s tasks. We discuss the components of the framework as possible implementation for a general application of research supervision management.

Keywords

Task Management Supervision Management Research Development Activities Intelligent Software Agents 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Yew, K.: A framework for designing postgraduate research supervision knowledge management systems. In: National Postgraduate Conference (NPC), September 19-20, pp. 1–6 (2011)Google Scholar
  2. 2.
    Ismail, A., Abiddin, N.Z., Hasan, A.: Improving the Development of Postgraduates’ Research and Supervision. International Education Studies 4(1), 78–89 (2011)CrossRefGoogle Scholar
  3. 3.
    Swanson, C.C., Watt, S.: Good Practice in the Supervision & Mentoring of Postgraduate Students. McMaster University (2011)Google Scholar
  4. 4.
    AlBar, A.M.: An Electronic Supervision System Architecture in Education Environments. European Journal of Business and Management 4(8) (2012)Google Scholar
  5. 5.
    Romdhani, I., Tawse, M., Habibullah, S.: Student Project Performance Management System for Effective Final Year and Dissertation Projects Supervision. In: Infonomics Society (ed.) London International Conference on Education, LICE 2011. Infonomics Society, London (2011)Google Scholar
  6. 6.
    Lubega, J., Niyitegeka, M.: Integrating E-Supervision in Higher Educational Learning. In: Aisbett, J., Gibbon, G., Rodrigues, A.J., Kizza, M.J., Nath, R., Renardel, G.R. (eds.) Strengthening the Role of ICT in Development, vol. IV, pp. 351–358 (2008)Google Scholar
  7. 7.
    Hsieh, F., Lin, J.: Project Scheduling Based on Multi-Agent Systems. Journal of Advanced Management Science 3(3) (September 2015)Google Scholar
  8. 8.
    Itaiwi, A.K., Ahmad, M.S., Hamid, N.H.A., Jaafar, N.H., Mahmoud, M.A.: A Framework for Resolving Task Overload Problems Using Intelligent Software Agents. In: 2011 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2011 (2011)Google Scholar
  9. 9.
    Ahmed, M., Ahmad, M.S., Yusoff, M.Z.M.: A Collaborative Framework for Multiagent Systems. International Journal of Agent Technologies and Systems (IJATS) 3(4), 1–18 (2011)Google Scholar
  10. 10.
    Ahmed, M., Ahmad, M.S., Yusoff, M.Z.M.: Mitigating Human-Human Collaboration Problems using Software Agents. In: The 4th International KES Symposium on Agents and Multi-Agent Systems – Technologies and Application (AMSTA 2010), Gdynia, Poland, June 23-25, pp. 203–212 (2010) ISBN:3-642-13479-3 978-3-642-13479-1Google Scholar
  11. 11.
    Sánchez, E., Lama, M., Amorim, R., Riera, A., Vila, X., Barro, S.: The EUME Project: Modelling and Design of an Intelligent Learning Management System. In: Proceedings of the AIED-Workshop on Intelligent Learning Management Systems, Sydney, Australia, pp. 183–191 (2005)Google Scholar
  12. 12.
    Decker, K., Sycara, K., Zeng, D.: Designing a Multi-Agent Portfolio Management System. In: AAAI 1996 Workshop on Internet-Based Information Systems, Portland (1996)Google Scholar
  13. 13.
    Pearson, M., Kayrooz, C.: Enabling Critical Reflection on Research Supervisory Practice. International Journal for Academic Development 9(1), 99–116 (2004)Google Scholar
  14. 14.
    Brew, A.: Conceptions of Research: a phenomenographic study. Studies in Higher Education 26(3), 271–285 (2001)CrossRefGoogle Scholar
  15. 15.
    Blasius, J., Walliman, N., Baiche, B.: Your research project. A step-by-step guide for the first-time researcher. KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie 53(3), 607–608 (2001)CrossRefGoogle Scholar
  16. 16.
    Mmuya, M.: Developing and writing a research proposal: instruction manual (2007)Google Scholar
  17. 17.
    Krauss, S.E., Hamzah, A., Nor, Z.M., Omar, Z., Suandi, T., Ismail, I.A., Zahari, M.Z.: Preliminary investigation and interview guide development for studying how Malaysian farmers’ form their mental models of farming. The Qualitative Report 14(2), 245–260 (2009)Google Scholar
  18. 18.
    Marshall, C., Rossman, G.B.: Data Collection Methods. In: Designing Qualitative Research, ch. 4 (2006) (retrieved June 7, 2006)Google Scholar
  19. 19.
    Waters, E.: The Goodness of Attachment Assessment: There Is A Gold Standard But It Isn’t As Simple As That (2002) (retrieved October 22, 2013)Google Scholar
  20. 20.
    Wögerer, W.: A survey of static program analysis techniques. Vienna University of Technology (2005)Google Scholar
  21. 21.
    French, S.D., Green, S.E., O’Connor, D.A., McKenzie, J.E., Francis, J.J., Michie, S., Grimshaw, J.M.: Developing theory-informed behaviour change interventions to implement evidence into practice: a systematic approach using the Theoretical Domains Framework. Implementation Science 7(1), 38 (2012)CrossRefGoogle Scholar
  22. 22.
    Wilcox, R.R.: Introduction to robust estimation and hypothesis testing. Academic Press (2012)Google Scholar
  23. 23.
    Thabane, L., Ma, J., Chu, R., Cheng, J., Ismaila, A., Rios, L.P., Goldsmith, C.H.: A tutorial on pilot studies: the what, why and how. BMC Medical Research Methodology 10(1), 1 (2010)CrossRefGoogle Scholar
  24. 24.
    Lavendelis, E., et al.: Multi-agent Robotic System Architecture for Effective Task Allocation and Management. In: Recent Researches in Communications, Electronics, Signal Processing & Automatic: Proceedings of the 11th WSEAS International Conference on Signal Processing, Robotics and Automation (ISPRA 2012), United Kingdom, Cambridge, February 22-24, pp. 167–174 (2012)Google Scholar
  25. 25.
    Arauzo, A.J., Pavon, J.: Agent-based modeling and simulation of multiproject scheduling. Inteligencia Artificial (42), 12–20 (2009)Google Scholar
  26. 26.
    Lacouture, J., Gascueña, J.M., Gleizes, M.-P., Glize, P., Garijo, F.J., Fernández-Caballero, A.: ROSACE: Agent-based systems for dynamic task allocation in crisis management. In: Demazeau, Y., Müller, J.P., Rodríguez, J.M.C., Pérez, J.B. (eds.) Advances on PAAMS. AISC, vol. 155, pp. 255–260. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  27. 27.
  28. 28.
    The rise of graduate education and university research, Higher Education in Asia (2014), http://www.uis.unesco.org/Library/Documents/higher-education-asia-graduate-university-research-2014-en.pdf
  29. 29.
    Trends in Higher Education, The Association of Universities and Colleges of Canada (2011), http://www.aucc.ca/wp-content/uploads/2011/05/trends-2011-vol1-enrolment-e.pdf

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Omar Abdullatif Jassim
    • 1
  • Moamin A. Mahmoud
    • 1
  • Mohd Sharifuddin Ahmad
    • 1
  1. 1.Centre for Agent Technology, College of Information TechnologyUniversiti Tenaga NasionalKajangMalaysia

Personalised recommendations