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Study vs. Work: Discussion and Data Analysis
23

Jonathan's study presentation

Nov 17, 2014

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This presentation was a section of a larger one delivered as part of assessment for the University of Queensland course COMP1900.

My presentation addressed an hypothesis that around 10 hours of part-time work per week in addition to an academic study load increased study effectiveness.
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  • 1. Study vs. Work: Discussion and Data Analysis

2. ANTHONY, MARIE & JONATHAN 3. ANTHONY, MARIE & JONATHAN Three very different life stories Unique circumstances affecting ability to study Ideal cross-section to determine the whether a number of hours of part time work each week helps or hinders study effectiveness 4. ANTHONY, MARIE & JONATHAN 5. ANTHONY, MARIE & JONATHANAnthony 2 part time jobs, 4 subjects Marie Parent, 2 part-time jobs and enrolled in 3 subjects Jonathan No part-time job, enrolled in 5 subjects 6. TESTING THE HYPOTHESIS 7. TESTING THE HYPOTHESISTwo components to the question need to be surveyed and compared: - How much time per week is spent working and studying? - How does the work improve study effectiveness? By linking these components together, study effectiveness can be tracked dependent upon the hours worked per week 8. TESTING THE HYPOTHESIS 9. TESTING THE HYPOTHESIS Time spent during the week is easy to obtain evidence of: - Diary Effectiveness, however, is something that needs to be measured in some other ways: - GPA (objective, but personal and potentially intrusive) - Stated opinion (subjective, but allows the description of a feeling like how effective a study session is) 10. TESTING THE HYPOTHESIS 11. TESTING THE HYPOTHESIS Therefore, in addition to demonstrating the quantiable nature of our work/study commitments, we will describe qualitatively our opinion of the effectiveness of our study sessions. 12. ANTHONY 13. ANTHONY2 part time jobs ---- 22 hours per week 4 rst-year courses ---- 16 hours per week Effectiveness of study? 14. MARIE 15. MARIE Parent (still a very important job) --- 24 hours per day 2 part-time jobs ---- 18.5 hours per week 3 rst-year courses --- 10 hours per week Effectiveness of study? 16. JONATHAN 17. JONATHAN NO part-time job ---- 0 hours per week 5 courses (mixture of 1st, 2nd & 3rd year) --- 44 hours per week Effectiveness of study? 18. THE HYPOTHESIS 19. THE HYPOTHESIS Interim determination - Accurate/Innacurate? Ways to improve determination - Lack of objective measure of effectiveness search of the psychometric literature should nd a suitable questionnaire inventory - Small sample size trend would be most robust if people from a range of different courses were asked to complete a diary and questionnaire 20. WHICH TOOL WAS MOST USEFUL? 21. WHICH TOOL WAS MOST USEFUL? Databases highly customisable However, spreadsheets were more useful analysing this data set Pivot Tables, sorting, formulas and visualisation tools all used to effect 22. CONCLUSION 23. CONCLUSION If data collection were more comprehensive, databases could be more useful Overall, the type and extent of data will indicate which platform to use