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Towards Estimating Academic Workloads for UKZN Glen Barnes (MSc Agric, MGSSA) Director, Management Information, UKZN May 2006.

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Presentation on theme: "Towards Estimating Academic Workloads for UKZN Glen Barnes (MSc Agric, MGSSA) Director, Management Information, UKZN May 2006."— Presentation transcript:

1 Towards Estimating Academic Workloads for UKZN Glen Barnes (MSc Agric, MGSSA) Director, Management Information, UKZN May 2006

2 Objectives To estimate academic staff workload demand based on the commitment to teaching and supervision, research, community involvement or outreach, and administration. To estimate academic staff workload demand based on the commitment to teaching and supervision, research, community involvement or outreach, and administration. To enable a more objective method of estimating the staff teaching load using quantitative data through the medium of module notional study hours, and limitations placed on student delivery by class sizes and group study. To enable a more objective method of estimating the staff teaching load using quantitative data through the medium of module notional study hours, and limitations placed on student delivery by class sizes and group study.

3 The Outcome … The construction of a decision support system addressing the most important variables The construction of a decision support system addressing the most important variables The incorporation of these ideas into a computerized decision support framework currently known as the School Planning Decision Support System (SPDSS). The incorporation of these ideas into a computerized decision support framework currently known as the School Planning Decision Support System (SPDSS).

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5 Procedure Initial pilot study Initial pilot study Special Senate Task Team Special Senate Task Team –Identify the important variables –Determine a set of default values Roll out to Schools Roll out to Schools –Establish ‘buy-in’ of the Schools –Foster ownership of the data Integration with other tools Integration with other tools

6 Academic Endeavours Teaching Teaching Research Research Community Development & Outreach Community Development & Outreach Administration Administration

7 Inputs & Assumptions High-level Assumptions High-level Assumptions Module Enrolment Data Module Enrolment Data Detailed Module Assumptions Detailed Module Assumptions Staff Assumptions Staff Assumptions Research Data Research Data Graduate Data Graduate Data

8 Institutional targets Working year : 219 days Working year : 219 days Working day : 8 hours Working day : 8 hours Proportional allocation Proportional allocation –Teaching : 45% –Research : 40% –Admin/Outreach : 15% Research productivity : 60 PUs/yr Research productivity : 60 PUs/yr Minimum SAPSE proportion : 50% Minimum SAPSE proportion : 50%

9 Inputs & Assumptions High-level Assumptions High-level Assumptions Module Enrolment Data Module Enrolment Data Detailed Module Assumptions Detailed Module Assumptions Staff Assumptions Staff Assumptions Research Data Research Data Graduate Data Graduate Data

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11 Inputs & Assumptions High-level Assumptions High-level Assumptions Module Enrolment Data Module Enrolment Data Detailed Module Assumptions Detailed Module Assumptions Staff Assumptions Staff Assumptions Research Data Research Data Graduate Data Graduate Data

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16 Inputs & Assumptions High-level Assumptions High-level Assumptions Module Enrolment Data Module Enrolment Data Detailed Module Assumptions Detailed Module Assumptions Staff Assumptions Staff Assumptions Research Data Research Data Graduate Data Graduate Data

17 Default Values & Norms Quantified by the Senate Task Team Quantified by the Senate Task Team Initial deployment of the system Initial deployment of the system Form the basis of comparison Form the basis of comparison –Determine differences between Schools –Evaluate inputs from the Schools

18 Reporting Objectives Highlight data errors Highlight data errors Summarize the data into ratios and performance indicators Summarize the data into ratios and performance indicators Generate a number of scenarios for planning Generate a number of scenarios for planning

19 Outputs & Reports Time & Staff estimates Time & Staff estimates School Summary Analysis School Summary Analysis –Summary Tables –Four Scenarios –Scenario summary

20 Time & Staff estimates Module ContactPreparationAssessmentConsultingGroupTeachTotalAcad LevelCountEnrolhrs (%)hrsStaff 2101806662 (10%)527 (8%)507590 (1%)010063548.1 416871576 (12%)763 (16%)2645881 (18%)010048656.2 381044655 (14%)640 (13%)3367104 (2%)010047666.1 16425167 (17%)182 (19%)60821 (2%)01009781.3 8950000874 (100%)01008741.1 9419000648 (100%)01006480.83 275342152060 (11%)2111 (11%)11694 (63%)2619 (14%)0 (0%)1001848523

21 Outputs & Reports Time & Staff estimates Time & Staff estimates School Summary Analysis School Summary Analysis –Summary Tables –Four Scenarios –Scenario summary

22 2005200620072008 Student FTEs & Head Counts No of Modules 55 Enrolled FTEs 282 291299 Weighted FTEs 300 308317 Enrolled Head Count 314 323333 FTE to HC (%) 89.9 89.8 FTEs per Module 5.3 5.55.7 Enrolments per Module 44 45.346.6 Summary Tables

23 2005200620072008 Teaching Allocation (hrs) Contact (2004: 2500) 1658 16861693 16% Preparation 2065 20% Assessment (2004: 9862) 5833 59776122 58% 59% Consulting (2004: 1218) 535 539542 5% Group teaching 0000 0% TOTAL (2004: 13580) 10092 1026610422 Summary Tables...

24 2005200620072008 Staff number estimates (FTEs) Planned Academic 16 Planned Support 4444 Academic to Support Staff Ratio 4444 Modules per Academic 3333 Credits per Academic 102 Teaching hrs per week 12 13 Summary Tables …

25 Outputs & Reports Time & Staff estimates Time & Staff estimates School Summary Analysis School Summary Analysis –Summary Tables –Four Scenarios –Scenario summary

26 2005200620072008 Teaching and Research Teaching rate (%)36 Research rate (%)23.5 Admin/Outreach rate (%)40.5 TOTAL (%)100 Adjusted Staff (FTEs)16 Research output (PUs)564.6 All Academic Staff Adjusted Staff (FTEs)16 Students per Academic (FTEs)17.6 NSH per Academic (hrs)1020 Research output (PUs)565 Productivity per Academic (PUs)35 Margin over Compensation (1000s)1952 Scenario One – the current situation

27 2005200620072008 Teaching and Research Teaching rate (%)36 Research rate (%)23.5 Admin/Outreach rate (%)15 TOTAL (%)74.5 Adjusted Staff (FTEs)11.9 Research output (PUs)564.6 All Academic Staff Adjusted Staff (FTEs)11.9 Students per Academic (FTEs)23.7 NSH per Academic (hrs)1369 Research output (PUs)565 Productivity per Academic (PUs)47 Margin over Compensation (1000s)2995 Scenario Two – revised Admin/Outreach Constant Increase Decrease

28 2005200620072008 Teaching and Research Teaching rate (%)36 Research rate (%)49 Admin/Outreach rate (%)15 TOTAL (%)100 Adjusted Staff (FTEs)16 Research output (PUs)1176 All Academic Staff Adjusted Staff (FTEs)16 Students per Academic (FTEs)17.6 NSH per Academic (hrs)1020 Research output (PUs)1176 Productivity per Academic (PUs)73 Margin over Compensation (1000s)2101 Scenario Three – revised Admin/Outreach & Research Constant Increase Decrease

29 Scenario Four – institutional targets 2005200620072008 Teaching and Research Teaching rate (%)45 Research rate (%)40 Admin/Outreach rate (%)15 TOTAL (%)100 Adjusted Staff (FTEs)12.8 Research output (PUs)768 All Academic Staff Adjusted Staff (FTEs)12.8 Students per Academic (FTEs)22 NSH per Academic (hrs)1275 Research output (PUs)768 Productivity per Academic (PUs)60 Margin over Compensation (1000s)2771 Constant Increase Decrease

30 Outputs & Reports Time & Staff estimates Time & Staff estimates School Summary Analysis School Summary Analysis –Summary Tables –Four Scenarios –Scenario summary

31 2005200620072008 Academic Staff (FTEs) Scenario 116 Scenario 211.9 Scenario 317.6 Scenario 412.8 Productivity (PUs) Scenario 1565 Scenario 2565 Scenario 31176 Scenario 4768 Margin over Compensation (1000s) Scenario 11952 Scenario 22995 Scenario 32101 Scenario 42771 Scenario Summary

32 Data Integration Data inputs are from: Data inputs are from: –ModMan; Modules for Handbooks –MIDB; Enrolments, Graduates –IRMA; staff productivity Scenario outputs become inputs into: Scenario outputs become inputs into: –Affordability model –Academic viability model –School Business Plan

33 Conclusions An attempt to address the very sensitive issue of staff workloads An attempt to address the very sensitive issue of staff workloads Considered the limitations of previous investigations and propose enhancements Considered the limitations of previous investigations and propose enhancements Through a collaborative approach assist the School planning process Through a collaborative approach assist the School planning process Facilitate a system of monitoring into the future Facilitate a system of monitoring into the future

34 Thank you …

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