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Monitoring Data to Support the First Year Experience. Instructor Behaviours. Learner Characteristics. Institutional Experience. Enrolments. Stage. Potential intervention points. Outcomes. Academic Progression. Learner Behaviours. Course Characteristics. (Image: Khan, 2014).
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Instructor Behaviours Learner Characteristics Institutional Experience Enrolments Stage Potential intervention points Outcomes Academic Progression Learner Behaviours Course Characteristics (Image: Khan, 2014)
Data sources 1 Information to Analytics (I2A) data LearnJCU Student Learning Analytics data 2 YourJCU Subject and Teaching Student Feedback Survey Data 3 4 University Experience Survey (UES) data 5 Course Student Cohort maps
Starting with the low hanging fruit • Given that numerous sources of data are available, where should we start? • Focus attention and energy on key leverage points • Discuss strategies that might be productively deployed given specific contexts and priorities across courses and the institution (McCormick, 2013)
Focussing attention • Transition • Diversity • Design • Engagement • Assessment In groups review a First Year Curriculum Principle and the associated suggested actions Would you modify any of the suggested actions? Are there any additional actions that you would like to suggest? (Kift, 2009)
Data informed decision making • Pro-active • ‘Just-in-time’ • Retrospective sense-making
Ways to engage with data • Unpacking of numbers • Purpose of data collection
Completing the checklist Consider: • Data sources that would inform suggested actions • Potential partnerships Determine: • Possible future actions in relation to each First Year Curriculum Principle