Understanding current practice around the Assessment of Multimedia Artefacts

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Understanding Current Practice around the Assessment of Multimedia Artefacts Denise Whitelock [email protected] DMW - eLC - October 2012

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Transcript of Understanding current practice around the Assessment of Multimedia Artefacts

Page 1: Understanding current practice around the Assessment of Multimedia Artefacts

Understanding Current Practice around the Assessment of Multimedia Artefacts

Denise Whitelock

[email protected]

DMW - eLC - October 2012

Page 2: Understanding current practice around the Assessment of Multimedia Artefacts

Why use multimedia artefacts for a TMA in H817?

• Learning by doing

• Choice

• Story telling in a digital age

• Testing high level skills• Communication,

Synthesis, Evaluation, Reflection

DMW - eLC - October 2012

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Assessment criteria/The tutors perspective

• Marking criteria again open to interpretation

• Ranking easier than marking

• Thurstone’s graded pairs, see eSCAPE project (2006) Richard Kimbell, TERU, Goldsmiths College

DMW - eLC - October 2012

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Assessment criteria/Students perspective

• Assessment literacy?

• Students misunderstood even when explained face to face, Bennett & Barker (2011)

• Need ‘feed forward’, Sadler (1983)

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Peer Assessment

• Peer Assessment and EVS (Bennett & Barker, 2012)

• First year computer science. Designing and implementing a website

• 6% improvement (P<0.001)

• Following year 4% improvement (P<0.001)

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Food for thought?

• Understand what is a good piece of work

• Know own level of performance

• Compare the two

• Practice

• Route to self monitoring

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References

• Bennett, S. & Barker, T. (2012). Using Peer Assessment and Electronic Voting to Improve Practical Skills in First Year Undergraduates. Proceedings of the International Conference on Computers and Assessment CAA 2012, Southampton, July 2012

• Bennett, S., & Barker, T. (2011). The use of electronic voting to encourage the development of higher order thinking skills in learners. Proceedings of the International Conference on Computers and Assessment CAA 2011, Southampton, July 2011

• Draper, S.W. (2009). Catalytic assessment: understanding how MCQs and EVS can foster deep learning, Special Issue, Whitelock, D. (Ed), British Journal of Educational Technology, 40

(2) 285 – 293.

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References 2

• Falchikov, N and Goldfinch, J (2000) Student peer assessment in higher education: A meta-analysis comparing peer and teacher marks. Review of Educational Research 70, (3) 287 – 323.

• Kimbell et al (2007) Phase 2 eSCAPE, http://www.gold.ac.uk/media/e-scape2.pdf (Accessed 9 October 2012)

• Russell, M.B. (2008). Using an electronic voting system to enhance learning and teaching, Engineering Education 3 (2).

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References 3• Sadler, D.R. (1983). Evaluation and the improvement of

academic learning. Journal of Higher Education, 54: 60-79.

• Topping, K. 1998, Peer Assessment Between Students in Colleges and Universities, Review of Educational Research, 68 (3) 249-276.

• Wimshurst, K. and Manning, M., (2012): Feed-forward assessment, exemplars and peer marking: evidence of efficacy, Assessment & Evaluation in Higher Education, DOI:10.1080/02602938.2011.646236

• Zundert, M., Sluijsmans, D. & van Merriënboer, J., (2010) Unravelling Peer Assessment and Instruction, 20 (4) 270-279.

DMW - eLC - October 2012