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

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Towards estimating academic workloads for ukzn

Towards Estimating Academic Workloads for UKZN

Glen Barnes (MSc Agric, MGSSA)

Director, Management Information, UKZN

May 2006


Objectives
Objectives

  • 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.


The outcome
The Outcome …

  • 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).


Procedure
Procedure

  • Initial pilot study

  • Special Senate Task Team

    • Identify the important variables

    • Determine a set of default values

  • Roll out to Schools

    • Establish ‘buy-in’ of the Schools

    • Foster ownership of the data

  • Integration with other tools


Academic endeavours
Academic Endeavours

  • Teaching

  • Research

  • Community Development & Outreach

  • Administration


Inputs assumptions
Inputs & Assumptions

  • High-level Assumptions

  • Module Enrolment Data

  • Detailed Module Assumptions

  • Staff Assumptions

  • Research Data

  • Graduate Data


Institutional targets
Institutional targets

  • Working year : 219 days

  • Working day : 8 hours

  • Proportional allocation

    • Teaching : 45%

    • Research : 40%

    • Admin/Outreach : 15%

  • Research productivity : 60 PUs/yr

  • Minimum SAPSE proportion : 50%


Inputs assumptions1
Inputs & Assumptions

  • High-level Assumptions

  • Module Enrolment Data

  • Detailed Module Assumptions

  • Staff Assumptions

  • Research Data

  • Graduate Data


Inputs assumptions2
Inputs & Assumptions

  • High-level Assumptions

  • Module Enrolment Data

  • Detailed Module Assumptions

  • Staff Assumptions

  • Research Data

  • Graduate Data


Inputs assumptions3
Inputs & Assumptions

  • High-level Assumptions

  • Module Enrolment Data

  • Detailed Module Assumptions

  • Staff Assumptions

  • Research Data

  • Graduate Data


Default values norms
Default Values & Norms

  • Quantified by the Senate Task Team

  • Initial deployment of the system

  • Form the basis of comparison

    • Determine differences between Schools

    • Evaluate inputs from the Schools


Reporting objectives
Reporting Objectives

  • Highlight data errors

  • Summarize the data into ratios and performance indicators

  • Generate a number of scenarios for planning


Outputs reports
Outputs & Reports

  • Time & Staff estimates

  • School Summary Analysis

    • Summary Tables

    • Four Scenarios

    • Scenario summary



Outputs reports1
Outputs & Reports

  • Time & Staff estimates

  • School Summary Analysis

    • Summary Tables

    • Four Scenarios

    • Scenario summary





Outputs reports2
Outputs & Reports

  • Time & Staff estimates

  • School Summary Analysis

    • Summary Tables

    • Four Scenarios

    • Scenario summary



Constant Increase Decrease

Scenario Two – revised Admin/Outreach


Constant Increase Decrease

Scenario Three – revised Admin/Outreach & Research


Constant Increase Decrease

Scenario Four – institutional targets


Outputs reports3
Outputs & Reports

  • Time & Staff estimates

  • School Summary Analysis

    • Summary Tables

    • Four Scenarios

    • Scenario summary



Data integration
Data Integration

  • Data inputs are from:

    • ModMan; Modules for Handbooks

    • MIDB; Enrolments, Graduates

    • IRMA; staff productivity

  • Scenario outputs become inputs into:

    • Affordability model

    • Academic viability model

    • School Business Plan


Conclusions
Conclusions

  • An attempt to address the very sensitive issue of staff workloads

  • Considered the limitations of previous investigations and propose enhancements

  • Through a collaborative approach assist the School planning process

  • Facilitate a system of monitoring into the future



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