Promise of Analytics

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  • Promise of Analytics

    1. 1. The Accountability Promises of Academic Analytics Nancy Parker, PhD Athabasca University WCET, Atlanta Nov 2007
    2. 2. Outline <ul><li>Contexts </li></ul><ul><li>Stakeholders expectations </li></ul><ul><li>Data strategies and concerns </li></ul>
    3. 3. Definition <ul><li>Academic Analytics </li></ul><ul><li>The practice of mining institutional data to produce “actionable intelligence” Campbell, DeBlois, Oblinger (2007) </li></ul><ul><li>“ May include reporting, predictive modeling, and what-if analysis and the use of information to automatically trigger business processes.” Goldstein (2005) </li></ul>
    4. 4. Higher Education Communication Challenges <ul><li>Information Asymmetry </li></ul><ul><li>Consumer Education Ratings </li></ul><ul><li>Fraud </li></ul><ul><ul><li>State Control Mechanisms </li></ul></ul><ul><ul><li>Self Regulation </li></ul></ul><ul><ul><li>Mobility </li></ul></ul><ul><ul><li>Aggregators </li></ul></ul>
    5. 5. Web Geography
    6. 6. Public Environment
    7. 7. Clients for Data <ul><li>Governments </li></ul><ul><li>International Competitiveness </li></ul><ul><li>Local Responsiveness </li></ul><ul><li>Taxpayers and Donors </li></ul><ul><li>Returns on Investment </li></ul><ul><li>Learners and their families </li></ul><ul><li>Institutional Governance (Trustees) </li></ul><ul><li>Administrators, Instructors, Researchers </li></ul>
    8. 8. Priority Areas for PSE Data <ul><li>Workforce skills </li></ul><ul><li>Innovation and knowledge transfer </li></ul><ul><li>Active, healthy citizenry </li></ul><ul><li>Quality PSE </li></ul><ul><li>Access and opportunity for under-represented groups </li></ul><ul><li>Lifelong learning </li></ul><ul><li>Affordability </li></ul><ul><li>Canadian Council on Learning </li></ul>
    9. 9. Strategic Intentions <ul><li>Inform policy </li></ul><ul><li>Enhance responsiveness </li></ul><ul><li>Improve learner choice </li></ul><ul><li>Strengthen governance </li></ul>
    10. 10. Purpose and Re-purpose Data Production (Transactional Systems) -- Warehousing -- Validating -- Mining -- Reporting
    11. 11. The Roots of Effectiveness System Contribution Institutional Effectiveness Program Learning Outcomes General Educational Outcomes Course Objectives
    12. 12. Concerns <ul><li>Who determines what data are collected, stored, re-purposed? </li></ul><ul><li>Enterprise wide definitions </li></ul><ul><li>Record retention and release </li></ul><ul><li>How are profiles used (ethical)? </li></ul><ul><li>Privacy (legal) </li></ul><ul><li>Resource Allocation </li></ul>
    13. 13. Getting Out Ahead of the Train
    14. 14. <ul><li>Higher education professionals at once accede to the idea of accountability and regard performance indicators as highly constructed and artificial means of measuring real output. As the term accountability implies, people want to know how to trust one another, to make their trust visible, while (knowing that) the very desire to do so points to the absence of trust. </li></ul><ul><li>Strathern (2000) </li></ul><ul><li>“ The Tyranny of Transparency” </li></ul>

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