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Dr David Nicol

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Title: Dr David Nicol


1
Re-engineering Assessment Practices in Scottish
Higher Education
  • Dr David Nicol
  • Project Director
  • Centre for Academic Practice
  • University of Strathclyde
  • d.j.nicol_at_strath.ac.uk

2
Rationale for project
  • Assessment key driver of student learning
  • Assessment is a major cost in HE economies of
    scale limited
  • Assessment influences a wide range of
    organisational, pedagogical and business
    processes in HE

3
Educational basis
  • Enhanced formative assessment resulted in
    learning gains that were among the largest ever
    reported (Black Wiliam, 1998)
  • Assessment does not fully prepare students for
    learning throughout life (Boud, 2000).
  • Assessment predominantly teacher-centred must
    develop learner self-regulation (Nicol
    Macfarlane-Dick, 2004 2005 Yorke, 2003)
  • Gibbs Simpson (2004). FAST project

4
Educational basis
  • Technologies can enrich assessment (Bull
    McKenna, 2004)
  • And help develop learner self-regulation (Nicol
    Milligan, 2005).
  • So far, little attempt to integrate a range of
    technologies to support assessment for learning.

5
Aims of Project
  • Re-engineer assessment practices in 3 HE
    institutions using supportive technologies.
  • Increase range of approaches - self, peer, tutor,
    to enhance motivation self-regulation
  • Integrate technologies online tests, e-voting,
    e-portfolios, VLEs, admin systems and
    online-offline interactions
  • Focus is on large 1st year classes
  • Improve learning quality and/or reduce costs

6
Partners roles
  • Strathclyde Univ 5 departments (one per faculty)
    with large 1st year classes (MechEng, Marketing,
    School of Pharmacy, Psychology, Primary
    Education)
  • Caledonian Business School (faculty reengineering
    core divisions)
  • Glasgow Univ (electronic voting technologies)
  • Allows synergies and comparisons
    (dept/faculty/institution)

7
Implementation models
  • Curriculum re-engineering - holistic
  • Departmental/faculty resources, core team in CAP
    and cross-institutional support LS, ITS, VLE
    team (Strathclyde University)
  • E-learning champions in divisions (Caledonian
    Business School)
  • Software engineer and educational developer
    (Glasgow University)

8
Evaluation baseline and comparison
  • Impact on learning quality assessment experience
    questionnaire, documentation analysis (e.g
    balance of self, peer and tutor assessment) and
    interviews.
  • Cost/workload analysis (staff time on activities)
  • Cost-benefit analysis
  • Institutional changes (cultural, organisational,
    pedagogical and technical)

9
Project deliverables
  • Case studies (exemplars) of re-engineered
    assessment based on learner self regulation
  • Document lessons learned through curriculum
    re-engineering (department/faculty/institution)
  • Evidence of impact cost/quality improvements
  • Workload and cost-benefit models
  • Develop electronic voting software/approaches
  • Identify organisational and support issues

10
Dissemination/ benefits to sector
  • Project website complete documentation
  • Scottish network on e-assessment funded
    separately by Funding Council (50k)
  • JISC HE Academy SFC
  • Conferences and workshops
  • Publications in refereed journals
  • Guidelines for practitioners

11
Questions and discussion
12
Departmental plans (examples)
  • Marketing more effective feedback delivery and
    peer processes
  • School of Pharmacy developing reflection and
    self-assessment skills supported by e-portfolios.
  • Psychology self-testing and dynamic feedback
    through simulations and use of personal response
    system in lectures.

13
Research Evidence
  • Black Wiliam (1998) significant learning gains
    from active S involvement in assessment
  • Yorke (2003) Boud (2000) assessment inhibiting
    development of learning society
  • Nicol Macfarlane-Dick (2004 2005) Nicol and
    Milligan (2005) how self-regulation might be
    supported through assessment
  • Gibbs Simpson (2004) conditions for effective
    assessment in science
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