Skip to main content

Computer Adaptive Assessment for Learning in a Virtual Learning Environment

  • Conference paper
  • First Online:
Computer Assisted Assessment. Research into E-Assessment (TEA 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 571))

Included in the following conference series:

  • 1619 Accesses

Abstract

In this project, five European countries are working together on the development of an online learning environment through which students can enhance key information processing skills (literacy, numeracy and problem solving in technology rich environments). This paper regards the numeracy learning unit that uses formative computer adaptive testing to offer learning tasks tailored to the students’ ability level. In these formative testing activities students can use hints and feedback to complete the learning tasks. The use of feedback and hints will influence the students’ response behavior. Therefore, for estimating the ability accurately, an IRT model will be used in which the use of these hints and feedback are taken into account. The learning modules are piloted with 900 students from Italy, Portugal and Norway.

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. Van der Kleij, F., Vermeulen, J.A., Schildkamp, K., Eggen, T.: Towards an integrative formative approach of data-based decision making, assessment for learning, and diagnostic testing. In: International Congress for School Effectiveness and Improvement, Chili, January 2013

    Google Scholar 

  2. Bennett, R.E.: Formative assessment: a critical review. Assess. Educ. Principles, Policy Pract. 18, 5–25 (2011). doi:10.1080/0969594X.2010.513678

    Article  Google Scholar 

  3. Black, P., William, D.: Assessment and classroom learning. Assess. Educ. Principles, Policy Pract. 5, 7–74 (1998). doi:10.1080/0969595980050102

    Article  Google Scholar 

  4. Klenowski, V.: Assessment for learning revisited: an Asia-Pacific perspective. Assess. Educ. Principles, Policy Pract. 16, 263–268 (2009). doi:10.1080/09695940903319646

    Article  Google Scholar 

  5. Stobart, G.: Testing times: The uses and abuses of assessment. Routledge, Abingdon (2008)

    Google Scholar 

  6. Hargreaves, E.: Assessment for learning? thinking outside the (black) box. Camb. J. Educ. 35, 213–224 (2005). doi:10.1080/03057640500146880

    Article  Google Scholar 

  7. Hattie, J., Timperley, H.: The power of feedback. Rev. Educ. Res. 77, 81–112 (2007). doi:10.3102/003465430298487

    Article  Google Scholar 

  8. Sadler, D.R.: Formative assessment and the design of instructional systems. Instr. Sci. 18, 119–144 (1989). doi:10.1007/BF00117714

    Article  Google Scholar 

  9. Narciss, S.: Feedback strategies for interactive learning tasks. In: Spector, J.M., Merrill, M.D., van Merrienboer, J.J.G., Driscoll, M.P. (eds.) Handbook of Research on Educational Communications and Technology, 3rd edn, pp. 125–144. Lawrence Erlbaum Associates, Mahaw (2008)

    Google Scholar 

  10. Shute, V.J.: Focus on formative feedback. Rev. Educ. Res. 78, 153–189 (2008). doi:10.3102/0034654307313795

    Article  Google Scholar 

  11. Van der Kleij, F.M., Feskens, R.C.W., Eggen, T.J.H.M.: Effects of feedback in a computer-based learning environment on students’ learning outcomes: a meta-analysis. In: Annual Meeting NCME, San Francisco (2013)

    Google Scholar 

  12. Narciss, S.: Designing and evaluating tutoring feedback strategies for digital learning environments on the basis of the interactive tutoring feedback model. Digit. Educ. Rev. 23, 7–26 (2013)

    Google Scholar 

  13. Ostini, R., Nering, M.L.: Polytomous Item Response Theory Models. SAGE Publications, London (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maaike Heitink .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Heitink, M., Veldkamp, B.P. (2015). Computer Adaptive Assessment for Learning in a Virtual Learning Environment. In: Ras, E., Joosten-ten Brinke, D. (eds) Computer Assisted Assessment. Research into E-Assessment. TEA 2015. Communications in Computer and Information Science, vol 571. Springer, Cham. https://doi.org/10.1007/978-3-319-27704-2_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-27704-2_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27703-5

  • Online ISBN: 978-3-319-27704-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics