Skip to main content
SpringerLink
Log in

Exploring the Role of Online Peer-Assessment as a Tool of Early Intervention

  • Conference paper
  • First Online:
Book cover Emerging Technologies for Education (SETE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10108))

Included in the following conference series:

Abstract

Peer-assessment in education has a long history. Although the adoption of technological tools is not a recent phenomenon, many peer-assessment studies are conducted in manual environments. Automating peer-assessment tasks improves the efficiency of the practice and provides opportunities for taking advantage of large amounts of student-generated data, which will readily be available in electronic format. Data from three undergraduate-level courses, which utilised an electronic peer-assessment tool were explored in this study in order to investigate the relationship between participation in online peer-assessment tasks and successful course completion. It was found that students with little or no participation in optional peer-assessment activities had very low course completion rates as opposed to those with high participation. In light of this finding, it is argued that electronic peer-assessment can serve as a tool of early intervention. Further advantages of automated peer-assessment are discussed and foreseen extensions of this work are outlined.

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

Access this chapter

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 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

Notes

  1. 1.

    See [2] for a meta-analytic review of peer-assessment studies conducted in the previous century and [3] for a comprehensive review of those peer-assessment studies conducted since 2000.

  2. 2.

    See [6] for a comprehensive review of tools that support peer-assessment.

References

  1. Topping, K.: Peer assessment between students in colleges and universities. Rev. Educ. Res. 68(3), 249–276 (1998). doi:10.3102/00346543068003249, URL: http://rer.sagepub.com/content/68/3/249.abstract, http://rer.sagepub.com/content/68/3/249.full.pdf+html

  2. Falchikov N, Goldfinch J (2000) Student peer assessment in higher education: A meta-analysis comparing peer and teacher marks. Review of Educational Research 70(3):287–322, doi:10.3102/00346543070003287, URL http://rer.sagepub.com/content/70/3/287.abstract, http://rer.sagepub.com/content/70/3/287.full.pdf+html

  3. Ashenafi, M.M.: Peer-assessment in higher education twenty-first century practices, challenges and the way forward. Assess. Eval. High. Educ. 1–26 (2015). doi:10.1080/02602938.2015.1100711, URL: http://dx.doi.org/10.1080/02602938.2015.1100711

  4. Ashenafi, M.M., Riccardi, G., Ronchetti, M.: Predicting students’ final exam scores from their course activities. In: Frontiers in Education Conference (FIE), pp. 1–9, 32614 2015. IEEE. doi:10.1109/FIE.2015.7344081

  5. Ashenafi, M.M., Ronchetti, M., Riccardi, G.: Predicting student progress using peer-assessment data. In: 9th International Conference on Educational Data Mining (EDM) (2016)

    Google Scholar 

  6. Luxton-Reilly, A.: A systematic review of tools that support peer assessment. Comput. Sci. Educ. 19(4), 209–232 (2009). doi:10.1080/08993400903384844, URL: http://dx.doi.org/10.1080/08993400903384844, http://dx.doi.org/10.1080/08993400903384844

  7. de Raadt, M., Lai, D., Watson, R.: An evaluation of electronic individual peer assessment in an introductory programming course. In: Proceedings of the Seventh Baltic Sea Conference on Computing Education Research (Koli Calling 2007), vol. 88, pp. 53–64. Australian Computer Society, Inc., Darlinghurst, Australia (2007). URL: http://dl.acm.org/citation.cfm?id=2449323.2449330

  8. Denny, P., Hamer, J., Luxton-Reilly, A., Purchase, H.: Peerwise: Students sharing their multiple choice questions. In: Proceedings of the Fourth International Workshop on Computing Education Research (ICER 2008), pp. 51–58. ACM, New York (2008). doi:10.1145/1404520.1404526, URL: http://doi.acm.org/10.1145/1404520.1404526

  9. Paré, D., Joordens, S.: Peering into large lectures: examining peer and expert mark agreement using peerscholar, an online peer assessment tool. J. Comput. Assist. Learn. 24(6), 526–540 (2008). doi:10.1111/j.1365-2729.2008.00290.x, URL: http://dx.doi.org/10.1111/j.1365-2729.2008.00290.x

  10. Fagen, A.P., Crouch, C.H., Mazur, E.: Peer instruction: results from a range of classrooms. Phys. Teach. 40(4), 206–209 (2002). doi:http://dx.doi.org/10.1119/1.1474140, URL: http://scitation.aip.org/content/aapt/journal/tpt/40/4/10.1119/1.1474140

  11. Simon, B., Kohanfars, M., Lee, J., Tamayo, K., Cutts, Q.: Experience report: peer instruction in introductory computing. In: Proceedings of the 41st ACM Technical Symposium on Computer Science Education (SIGCSE 2010), pp. 341–345. ACM, New York (2010). doi:10.1145/1734263.1734381, URL: http://doi.acm.org/10.1145/1734263.1734381

  12. Kennedy, G.E., Cutts, Q.: The association between students’ use of an electronic voting system and their learning outcomes. J. Comput. Assist. Learn. 21(4), 260–268 (2005). doi:10.1111/j.1365-2729.2005.00133.x, URL: http://dx.doi.org/10.1111/j.1365-2729.2005.00133.x

  13. Yadav, R.K., Gehringer, E.F.: Automated met reviewing: a classifier approach to assess the quality of reviews. In: Computer-Supported Peer Review in Education (CSPRED-2016) (2016)

    Google Scholar 

  14. Wang, Y., Wang, H., Schunn, C., Baehr, E.: Choosing a better moment to assign reviewers in peer assessment: the earlier the better, or the later the better? In: Computer-Supported Peer Review in Education (CSPRED-2016) (2016)

    Google Scholar 

  15. Morris, J., Kidd, J.: Teaching students to give and to receive: improving interdisciplinary writing through peer review. In: Computer-Supported Peer Review in Education (CSPRED-2016) (2016)

    Google Scholar 

  16. Song, Y., Gehringer, E.F., Morris, J., Kid, J., Ringleb, S.: Toward better training in peer assessment: does calibration help? In: Computer-Supported Peer Review in Education (CSPRED-2016) (2016)

    Google Scholar 

  17. Gehringer, E.F.: A survey of methods for improving review quality. In: Cao, Y., Väljataga, T., Tang, Jeff, K.,T., Leung, H., Laanpere, M. (eds.) ICWL 2014. LNCS, vol. 8699, pp. 92–97. Springer, Heidelberg (2014). doi:10.1007/978-3-319-13296-9_10

    Google Scholar 

  18. Babik, D., Gehringer, E.F., Kidd, J., Pramudianto, F., Tinapple, D.: Probing the landscape: Toward a systematic taxonomy of online peer assessment systems in education. In: Computer-Supported Peer Review in Education (CSPRED-2016) (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Information Engineering and Computer Science, University of Trento, Trento, Italy

    Michael Mogessie Ashenafi, Marco Ronchetti & Giuseppe Riccardi

Authors
  1. Michael Mogessie Ashenafi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marco Ronchetti
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Giuseppe Riccardi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Michael Mogessie Ashenafi .

Editor information

Editors and Affiliations

  1. National Yunlin University of Science and Technology, Yunlin, Taiwan

    Ting-Ting Wu

  2. Free University of Bozen-Bolzano, Rome, Italy

    Rosella Gennari

  3. National Cheng-Kung University, Tainan, Taiwan

    Yueh-Min Huang

  4. The Education University of Hong Kong, Hong Kong, Hong Kong

    Haoran Xie

  5. MC Information Multimedia Communication AG, Saarbrücken, Germany

    Yiwei Cao

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Ashenafi, M.M., Ronchetti, M., Riccardi, G. (2017). Exploring the Role of Online Peer-Assessment as a Tool of Early Intervention. In: Wu, TT., Gennari, R., Huang, YM., Xie, H., Cao, Y. (eds) Emerging Technologies for Education. SETE 2016. Lecture Notes in Computer Science(), vol 10108. Springer, Cham. https://doi.org/10.1007/978-3-319-52836-6_67

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-52836-6_67

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52835-9

  • Online ISBN: 978-3-319-52836-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation