Skip to main content
SpringerLink
Log in
Book cover

E-Learning Paradigms and Applications pp 229–249Cite as

E-Assessment Systems and Online Learning with Adaptive Testing

  • Chapter
  • First Online:

Part of the book series: Studies in Computational Intelligence ((SCI,volume 528))

Abstract

In this paper we explain how a systematic approach to design Assessment as a Service on a cloud with SOA architecture can exploit add on functionalities like online learning with interactive assessment as a type of formative and integrative assessment for the learning process. The idea is realized by a system (computer based program) that systematically asks questions and leads the students towards knowledge construction and discovery. The system should be as simple as possible and intelligent enough to enable the realization of this idea. This online learning tool with adaptive testing uses software agents, where several strategies define the agent’s behavior. We observed that the strategy “3 correct answers in a row” performs the best.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

References

  1. Armenski, G., Gusev, M.: E-testing based on service oriented architecture. In: Proceedings of the 10th CAA International Computer Assisted Assessment Conference, pp. 17–23. © Loughborough University (2006)

    Google Scholar 

  2. Armenski, G., Gušev, M.: Infrastructure for e-testing. Facta Univ. Ser. Electron. Energ. 18(2), 181–204 (2005). http://factaee.elfak.ni.ac.yu/fu2k52/contents.html

  3. Armenski, G., Gusev, M.: The architecture of an ultimate’ e-assessment system. In: ICT Innovations 2012, Web Proceedings. Association for Information and Communication Technologies ICT-ACT (2009)

    Google Scholar 

  4. Bădică, C., Budimac, Z., Burkhard, H.D., Ivanović, M.: Software agents: Languages, tools, platforms. Comput. Sci. Inf. Syst./ComSIS 8(2), 255–298 (2011)

    Article  Google Scholar 

  5. Beck, J., Stern, M., Haugsjaa, E.: Applications of ai in education. Crossroads 3(1), 11–15 (1996)

    Article  Google Scholar 

  6. Blackboard: (2013). http://www.blackboard.com

  7. Brusilovsky, P.: Developing adaptive educational hypermedia systems: From design models to authoring tools. Authoring tools for advanced technology learning environment, pp. 377–409. Kluwer Academic Publishers, Dordrecht (2003)

    Google Scholar 

  8. Brusilovsky, P., Peylo, C.: Adaptive and intelligent web-based educational systems. Int. J. Artif. Intell. Educ. 13(2), 159–172 (2003)

    Google Scholar 

  9. Clark, R., Mayer, R.: E-learning and the science of instruction: proven guidelines for consumers and designers of multimedia learning. Pfeiffer (2011)

    Google Scholar 

  10. Classroom, T.M.V.: (2012). http://manhattan.sourceforge.net

  11. Collins, A.M., Stevens, A.L.: A Cognitive Theory of Interactive Teaching. Bolt Beranek and Newman Inc, Cambridge (1981)

    Google Scholar 

  12. Crisp, G.: Interactive e-assessment: Moving beyond multiple-choice questions. Centre for Learning and Professional Development. Adelaide (Australien): University of Adelaide (2009). http://ipac.kacst.edu.sa/eDoc/2009/173798_1.pdf [10.11.2010]

  13. Dagger, D., O’Connor, A., Lawless, S., Walsh, E., Wade, V.: Service-oriented e-learning platforms: from monolithic systems to flexible services. IEEE Internet Comput. 11(3), 28–35 (2007)

    Article  Google Scholar 

  14. Davies, W.M., Davis, H.C.: Designing assessment tools in a service oriented architecture. In: 1st International ELeGI Conference on Advanced Technology for Enhanced Learning, Vico Equense-Naples, Italy, 15–16 Mar 2005, pp. 1−7 (2005)

    Google Scholar 

  15. Environment, F.L.: (2012). http://fle3.uiah.fi

  16. eSurvey Creator: (2013). http://www.esurveycreator.com

  17. eSurvey Pro: (2013). http://www.esurveypro.com

  18. ETS: (2012). https://www.ets.org/

  19. EL Framework: (2012). http://www.elframework.org/

  20. Franklin, S., Graesser, A.: Is it an agent, or just a program? A taxonomy for autonomous agents. Intelligent Agents III Agent Theories, Architectures, and Languages, pp. 21–35 (1997)

    Google Scholar 

  21. Free Online Surveys: (2013). http://www.freeonlinesurveys.com

  22. Gierłowski, K., Nowicki, K.: A highly scalable, modular architecture for computer aided assessment e-learning systems. Distance Education Environments and Emerging Software Systems: New Technologies, IGI Global (2011)

    Google Scholar 

  23. Gusev, M., Armenski, G.: On-line learning and etesting. In: Information Proceedings of the 24th International Conference on Technology Interfaces ITI 2002, pp. 147–152. IEEE (2002)

    Google Scholar 

  24. IMS Global Learning Consortium: Abstract Framework: (2012). http://www.imsglobal.org/af/index.html

  25. IMS Content Packing Specification: (2012). http://www.imsglobal.org/content/packaging/

  26. IMS Learning Design Specification: (2012). http://www.imsglobal.org/learningdesign/

  27. Kaernbach, C.: Simple adaptive testing with the weighted up-down method. Atten. Percept. Psychophys. 49(3), 227–229 (1991)

    Article  Google Scholar 

  28. Koper, R., van Es, R.: Modelling units of learning from a pedagogical perspective. Online Educ. Using Learn. Objects. 40, 43−58 (2004)

    Google Scholar 

  29. LeAP Project Case Study: Implementing Web Services in an Education Environment: (2012). http://www.education.tas.gov.au/admin/ict/projects/imsdoecasestudy/LeAPProjectCaseSummary.pdf

  30. LRN: (2012). http://dotlrn.org

  31. Luecht, R., Sireci, S.: A review of models for computer-based testing (2012). http://research.collegeboard.org/publications/content/2012/05/review-models-computer-based-testing

  32. Moodle: (2013). http://moodle.org

  33. OKI Project: (2012). http://www.okiproject.org

  34. Paramythis, A., Loidl-Reisinger, S.: Adaptive learning environments and e-learning standards. In: Second European Conference on E-Learning, pp. 369–379 (2003)

    Google Scholar 

  35. Parshall, C., Davey, T., Pashley, P.: Innovative items for computerized testing. In: van der Linden, W.J., Glas, C.A.W. (eds.) Elements of Adaptive Testing, Statistics, for Social and Behavioral Sciences, pp. 215–230. Springer, Berlin (2002)

    Google Scholar 

  36. Patelis, T.: An overview of computer-based testing. The College Board, RN-09, Office of Research and Development (2000). http://www.collegeboard.com/research/html/rn09.pdf

  37. Pearson Vue: (2013). http://www.pearsonvue.com

  38. Prometric: (2013). http://www.prometric.com

  39. Ristov, S., Gusev, M., Armenski, G., Bozinoski, K., Velkoski, G.: Architecture and organization of e-assessment cloud solution. In: 2013 IEEE Global Engineering Education Conference (EDUCON), pp. 736–743 (2013)

    Google Scholar 

  40. Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 3rd edn. Prentice Hall, Englewood Cliffs (2002)

    Google Scholar 

  41. Scalise, K., Gifford, B.: Computer-based assessment in e-learning: A framework for constructing “intermediate constraint” questions and tasks for technology platforms. J. Technol. Learn. Assess. 4(6), 5−44 (2006)

    Google Scholar 

  42. Sclater, N., Howie, K.: User requirements of the ultimate online assessment engine. Comput. Educ. 40(3), 285–306 (2003)

    Article  Google Scholar 

  43. Sclater, N., Low, B., Barr, N.: Interoperability with CAA: does it work in practice? In: Proceedings of the Sixth International Computer Assisted Assessment Conference, Loughborough University, 317−326 (2002)

    Google Scholar 

  44. Tattersall, C., Hermans, H.: Ounls assessment model. In: January 2006 TENCompetence WP6 Meeting (2006). http://dspace.ou.nl/handle/1820/558

  45. TENCompetence—Building the European Network for Lifelong Competence Development: (2012). http://www.tencompetence.org/

  46. Thissen, D., Mislevy, R.: Testing algorithms. In: Wainer, H., Dorans, N., Green, B., Steinberg, L., Flaugher, R., Mislevy, R., Thissen, D. (eds.) Computerized Adaptive Testing: A Primer. Lawrence Erlbaum Associates Inc, London, 101−133 (2000)

    Google Scholar 

  47. Thompson, N., Wiess, D.: Computerised and adaptive testing in educational assessment. Trans. Comput. Based Assess. New Approach. Skills Assess Implications Large-Scale Test. 127–133 (2009)

    Google Scholar 

  48. Thurlow, M., Lazarus, S., Albus, D., Hodgson, J.: Computer-based testing: Practices and considerations. Synth Rep. 78 (2010)

    Google Scholar 

  49. Vossen, G., Westerkamp, P.: E-learning as a web service. In: Proceedings of the Seventh International Database Engineering and Applications Symposium, pp. 242–249. IEEE (2003)

    Google Scholar 

  50. WebCT: (2013). http://www.webct.com

  51. Williamson, D.M., Bennett, R.E., Lazer, S., Bernstein, J., Foltz, P.W., Landauer, T.K., Walter, D., Way, D., Sweeney, K.: Automated Scoring for the Assessment of Common Core Standards (2010). https://www.ets.org/s/commonassessments/pdf/AutomatedScoringAssessCommonCoreStandards.pdf

Download references

Author information

Authors and Affiliations

  1. Faculty of Information Sciences and Computer Engineering, Ss. Cyril and Methodious University, Rugjer Boshkovikj 16, 1000, Skopje, Macedonia

    Marjan Gusev & Goce Armenski

Authors
  1. Marjan Gusev
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Goce Armenski
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marjan Gusev .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Novi Sad, Serbia

    Mirjana Ivanović

  2. Faculty of Education, Science, Technology & Mathematics, University of Canberra, Canberra, South Australia, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Gusev, M., Armenski, G. (2014). E-Assessment Systems and Online Learning with Adaptive Testing. In: Ivanović, M., Jain, L. (eds) E-Learning Paradigms and Applications. Studies in Computational Intelligence, vol 528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41965-2_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-41965-2_8

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41964-5

  • Online ISBN: 978-3-642-41965-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation