A First Step Towards Synthesizing Rubrics and Video for the Formative Assessment of Complex Skills | SpringerLink
Skip to main content

A First Step Towards Synthesizing Rubrics and Video for the Formative Assessment of Complex Skills

  • Conference paper
  • First Online:
Technology Enhanced Assessment (TEA 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 653))

Included in the following conference series:

Abstract

For learners, it can be difficult to imagine how to perform a complex skill from textual information found in a text-based analytic rubric. In this paper we identify three deficiencies of the text-based analytic rubric for the formative assessment of complex skills. We propose to address the text-based analytic rubric’s deficiencies by adding video modeling examples. With the resulting Video Enhanced Rubric we aim to improve the formative assessment of complex skills by fostering learner’s mental model development, feedback quality and complex skill mastery.

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

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /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
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • 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

Similar content being viewed by others

References

  1. Panadero, E., Romero, M.: To rubric or not to rubric? The effects of self-assessment on self-regulation, performance and self-efficacy. Assess. Educ. Principles Policy Pract. 21, 133–148 (2014). doi:10.1080/0969594X.2013.877872

    Article  Google Scholar 

  2. Rusman, E., Martínez-Monés, A., Boon, J., et al.: Computer Assisted Assessment – Research into E-Assessment: Proceedings of International Conference, CAA 2014, Zeist, The Netherlands, June 30–July 1 2014. In: Kalz, M., Ras, E. (eds.), pp. 1–14. Springer International Publishing, Cham (2014)

    Google Scholar 

  3. Thijs, A., Fisser, P., van der Hoeven, M.: 21E Eeuwse Vaardigheden in Het Curriculum Van Het Funderend Onderwijs. Slo 128 (2014)

    Google Scholar 

  4. Janssen-Noordman, A.M., Van Merriënboer, J.J.G.: Innovatief Onderwijs Ontwerpen. Wolters-Noordhoff, Groningen (2002)

    Google Scholar 

  5. Van Merriënboer, J.J.G., Kester, L.: The four-component instructional design model: multimedia principles in environments for complex learning. In: The Cambridge Handbook of Multimedia Learning (2005). doi:10.1017/CBO9781139547369.007

  6. Van Merriënboer, J.J.G., Kirschner, P.A.: Ten Steps to Complex Learning. Lawrence Erlbaum Associates Inc., New Jersey (2007)

    Google Scholar 

  7. Jonsson, A., Svingby, G.: The use of scoring rubrics: reliability, validity and educational consequences. Educ. Res. Rev. 2, 130–144 (2007). doi:10.1016/j.edurev.2007.05.002

    Article  Google Scholar 

  8. Westera, W.: Reframing contextual learning: anticipating the virtual extensions of context 14, 201–212 (2011)

    Google Scholar 

  9. Matthews, W.J., Buratto, L.G., Lamberts, K.: Exploring the memory advantage for moving scenes. Vis. Cogn. 18, 1393–1420 (2010). doi:10.1080/13506285.2010.492706

    Article  Google Scholar 

  10. Panadero, E., Jonsson, A.: The use of scoring rubrics for formative assessment purposes revisited: a review. Educ. Res. Rev. 9, 129–144 (2013). doi:10.1016/j.edurev.2013.01.002

    Article  Google Scholar 

  11. Mertler, C.: Designing scoring rubrics for your classroom. Pract. Assess. Res. Eval. 7, 1–10 (2001)

    Google Scholar 

  12. Brookhart, S.M., Chen, F.: The quality and effectiveness of descriptive rubrics. Educ. Rev. 1–26 (2014). doi:10.1080/00131911.2014.929565

  13. Reynolds-Keefer, L.: Rubric-referenced assessment in teacher preparation: an opportunity to learn by using. Pract. Assess. Res. Eval. 15, 1–9 (2010)

    Google Scholar 

  14. Andrade, H.G.: The effects of instructional rubrics on learning to write. Curr. Issues Educ. 4, 1–39 (2001)

    Google Scholar 

  15. Schamber, J.F., Mahoney, S.L.: Assesing and improving the quality of group critical thinking exhibited in the final projects of collaborative learning groups. J. Gen. Educ. 55, 103–137 (2006). doi:10.1353/jge.2006.0025

    Article  Google Scholar 

  16. Andrade, H., Du, Y.: Student perspectives on rubric-referenced assessment. Pract. Assess. Res. Eval. 10, 1–11 (2005). doi:10.1080/02602930801955986

    Google Scholar 

  17. Good, T.L.: Two decades of research on teacher expectations: findings and future directions. J. Teach. Educ. 38, 32–47 (1987). doi:10.1177/002248718703800406

    Article  Google Scholar 

  18. Panadero, E., Tapia, J.A., Huertas, J.A.: Rubrics and self-assessment scripts effects on self-regulation, learning and self-efficacy in secondary education. Learn. Individ. Differ. 22, 806–813 (2012). doi:10.1016/j.lindif.2012.04.007

    Article  Google Scholar 

  19. Wolters, C.A.: Regulation of motivation: evaluating an underemphasized aspect of self-regulated learning. Educ. Psychol. 38, 189–205 (2003). doi:10.1207/S15326985EP3804_1

  20. Kuhl, J.: A functional-design approach to motivation and self-regulation: the dynamics of personality systems and interactions. In: Handbook of Self-regulation, pp. 111–169 (2000)

    Google Scholar 

  21. Panadero, E., Romero, M., Strijbos, J.W.: The impact of a rubric and friendship on peer assessment: effects on construct validity, performance, and perceptions of fairness and comfort. Stud. Educ. Eval. 39, 195–203 (2013). doi:10.1016/j.stueduc.2013.10.005

    Article  Google Scholar 

  22. Gary, M.S., Wood, R.E.: Mental models, decision rules, and performance heterogeneity. Strateg. Manage. J. 32, 569–594 (2011). doi:10.1002/smj.899

    Article  Google Scholar 

  23. Kim, Y., McDonough, K.: Using pretask modelling to encourage collaborative learning opportunities. Lang. Teach. Res. 15, 183–199 (2011). doi:10.1177/1362168810388711

    Article  Google Scholar 

  24. De Grez, L., Valcke, M., Roozen, I.: The differential impact of observational learning and practice-based learning on the development of oral presentation skills in higher education. High. Educ. Res. Dev. 33, 256–271 (2014). doi:10.1080/07294360.2013.832155

    Article  Google Scholar 

  25. Frerejean, J., van Strien, J.L.H., Kirschner, P.A., Brand-Gruwel, S.: Completion strategy or emphasis manipulation? Task support for teaching information problem solving. Comput. Hum. Behav. 62, 90–104 (2015). doi:10.1016/j.chb.2016.03.048. Manuscript Submission

    Article  Google Scholar 

  26. Andrade, H., Buff, C., Terry, J., et al.: Assessment-driven improvements in middle school students’ writing. Middle Sch. J. 40, 4–12 (2009)

    Article  Google Scholar 

  27. Brookhart, S.M., Chen, F.: The quality and effectiveness of descriptive rubrics. Educ. Rev. 1911, 1–26 (2014). doi:10.1080/00131911.2014.929565

    Google Scholar 

  28. Efklides, A.: Interactions of metacognition with motivation and affect in self-regulated learning: the MASRL model. Educ. Psychol. 46, 6–25 (2011). doi:10.1080/00461520.2011.538645

    Article  Google Scholar 

  29. Schunk, D.H., Usher, E.L.: Assessing self-efficacy for self-regulated learning. In: Handbook of Self-Regulation of Learning and Performance, pp. 282–297 (2011)

    Google Scholar 

  30. Zimmerman, B.J., Kitsantas, A.: Acquiring writing revision and self-regulatory skill through observation and emulation. J. Educ. Psychol. 94, 660–668 (2002). doi:10.1037/0022-0663.94.4.660

    Article  Google Scholar 

  31. Van Dinther, M., Dochy, F., Segers, M.: Factors affecting students’ self-efficacy in higher education. Educ. Res. Rev. 6, 95–108 (2011). doi:10.1016/j.edurev.2010.10.003

    Article  Google Scholar 

  32. Bandura, A.: Theoretical perspectives. In: Self-efficacy: The Exercise of Control, 604 pages. W.H. Freeman, New York (1997)

    Google Scholar 

  33. De Grez, L., Valcke, M., Roozen, I.: The impact of an innovative instructional intervention on the acquisition of oral presentation skills in higher education. Comput. Educ. 53, 112–120 (2009). doi:10.1016/j.compedu.2009.01.005

    Article  Google Scholar 

  34. Brand-Gruwel, S., Wopereis, I., Vermetten, Y.: Information problem solving by experts and novices: analysis of a complex cognitive skill. Comput. Hum. Behav. 21, 487–508 (2005). doi:10.1016/j.chb.2004.10.005

    Article  Google Scholar 

  35. De Grez, L., Valcke, M., Roozen, I.: The impact of goal orientation, self-reflection and personal characteristics on the acquisition of oral presentation skills. Eur. J. Psychol. Educ. 24, 293–306 (2009). doi:10.1007/BF03174762

    Article  Google Scholar 

  36. Mayer, R.E.: Multimedia Learning, 2nd edn. Cambridge University Press, New York (2009). doi:10.1007/s13398-014-0173-7.2

  37. Paivio, A.: Mental Representations: A Dual Coding Approach (2008). doi:10.1093/acprof:oso/9780195066661.001.0001

  38. Ayres, P.: State-of-the-art research into multimedia learning: a commentary on mayer’s handbook of multimedia learning. Appl. Cogn. Psychol. 29, 631–636 (2015). doi:10.1002/acp.3142

    Article  Google Scholar 

  39. Skulmowski, A., Pradel, S., Kühnert, T., et al.: Embodied learning using a tangible user interface: the effects of haptic perception and selective pointing on a spatial learning task. Comput. Educ. 92–93, 64–75 (2016). doi:10.1016/j.compedu.2015.10.011

    Article  Google Scholar 

  40. Moreno, R., Mayer, R.: Interactive multimodal learning environments. Educ. Psychol. Rev. 19, 309–326 (2007). doi:10.1007/s10648-007-9047-2

    Article  Google Scholar 

  41. Schweppe, J., Eitel, A., Rummer, R.: The multimedia effect and its stability over time. Learn. Instr. 38, 24–33 (2015). doi:10.1016/j.learninstruc.2015.03.001

    Article  Google Scholar 

  42. Eitel, A., Scheiter, K.: Picture or text first? Explaining sequence effects when learning with pictures and text. Educ. Psychol. Rev. 27, 153–180 (2014). doi:10.1007/s10648-014-9264-4

  43. Van Merriënboer, J.J.G., Kester, L.: The four-component instructional design model: multimedia principles in environment for complex learning. In: Mayer, R.E. (ed.) The Cambridge Handbook of Multimedia Learning, pp. 104–148. Cambridge University Press, New York (2014)

    Chapter  Google Scholar 

Download references

Acknowledgement

We would like to gratefully acknowledge the contribution of the Viewbrics project, that is funded by the practice-oriented research programme of the Netherlands Initiative for Education Research (NRO), part of The Netherlands Organisation for Scientific Research (NWO).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kevin Ackermans .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Ackermans, K., Rusman, E., Brand-Gruwel, S., Specht, M. (2017). A First Step Towards Synthesizing Rubrics and Video for the Formative Assessment of Complex Skills. In: Joosten-ten Brinke, D., Laanpere, M. (eds) Technology Enhanced Assessment. TEA 2016. Communications in Computer and Information Science, vol 653. Springer, Cham. https://doi.org/10.1007/978-3-319-57744-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-57744-9_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57743-2

  • Online ISBN: 978-3-319-57744-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics