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WLM in College of Science and Engineering. Ethos: implementation ANY SUCCESSFUL IMPLEMENTATION OF A WLM REQUIRES ACCURATE PRE- POPULATION OF DATA, AND.

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Presentation on theme: "WLM in College of Science and Engineering. Ethos: implementation ANY SUCCESSFUL IMPLEMENTATION OF A WLM REQUIRES ACCURATE PRE- POPULATION OF DATA, AND."— Presentation transcript:

1 WLM in College of Science and Engineering

2 Ethos: implementation ANY SUCCESSFUL IMPLEMENTATION OF A WLM REQUIRES ACCURATE PRE- POPULATION OF DATA, AND PARTICIPATION OF THE COLLEGE IS DEPENDENT ON THIS Data: – A single master set of university data should populate the access portals (e.g. WLM, Finance, SLP, Enlighten, miniREF, T4, PDR etc) – A clear and efficient mechanism for users to highlight incorrect data, as part of annual process – Personal web pages created based on central data held Flexibility: – WLM must be fully editable in terms of roles, categories and tariffs/multipliers for adaptation by the college/schools. Access and development: – Web based system, with desktop and VPN access – User friendly interface is vital – Academic user group should consult on (and agree) on the user interface – The college wishes to approve the specification before development commences

3 Ethos: assigning workload Hours: – For research active staff, teaching and Glasgow admin duties should not exceed 1000 hours – All hours are notional, reflecting that the WLM is both a measure of actual hours worked and acknowledgment /encouragement of appropriate activity Balance: – Workload should reflect admin, research and teaching contributions made by staff – Self-assigned tasks should be balanced against those assigned by university; an individual cannot opt out of school obligations Management: – WLM annually INFORMS rather than DICTATES management decisions – i.e. task assignment is agreed between individuals and HoS, most likely as part of the annual PDR process – In the majority of cases the WLM should lead to minimal change in how most successful academics spend their time Flexibility: – Subject specific weightings may be applied to different categories at the school level, as approved by the college Prior to roll-out the WLM MUST be piloted against cross-section of academics in all schools

4 WLM fully integrated to other Glasgow databases SLP RandE/ finance HR T4 indiv. web page Enlighten WLM may be used to highlight errors for investigation and correction by central services Web based WLM, suitable for desktop or VPN access Mini REF etc PDR Single source of University held data WLM -teaching - research - admin. WLM -teaching - research - admin.

5 Teaching Central data to populate WLM, giving every academic a list of – Lecture courses (inc. contact hours) – Tutorials (inc. contact hours) – Laboratory/field work (contact hours) Academic to highlight any incorrect data Academic to declare any additional teaching tasks not held in central data store, hours ratified by HoS (e.g. Hons. project supervision) Suggested College hours tariff for teaching metrics shown on next slide* Teaching Sub tot * harmonisation across the College is sought, but School variations are possible if a case exists Precise tariffs to be agreed and adapted after pilot testing of WLM

6 Example Teaching Multipliers Teaching Sub tot Precise tariffs to be agreed and adapted after pilot testing of WLM Lectures: preparation, revision, setting of questions and exams, gen. admin. 4 x contact hours + 1 hour per 10 students enrolled on course New course development5 hours/1 hour lecture (assigned in addition to those hours under lectures) Tutorials/supervision2 x contact hours Laboratories / field trips1.25/2 x contact hours Marking1 hour per 3 students enrolled on course UG projects, creation, supervision, marking and second marking 1 hour per credit, split between first and second supervisor PGT projects, creation, supervision, marking and second marking 1.5 x contact hours Extended essays and vivaTo be discussed Advisor of Studies2 hours per student administration of teaching e.g. class headships etc collected under administration List to be completed as superset of school/college roles

7 Research Central Data to populate WLM, giving every academic a list of – Active grants (% ownership, value, investigator-recoup) – PGR Supervisions (% supervision) – PG Masters by research (% supervision) – RA management (% management) Academic to highlight any incorrect data Academic to declare esteem indicators (e.g. invited lectures) and external admin tasks, hours approved by HoS (e.g. RCUK committees) Suggested College hours tariff for research metrics shown on next slide* Research Sub tot * harmonisation across the College is sought, but School variations are possible if a case exists Precise tariffs to be agreed and adapted after pilot testing of WLM

8 Example Research Multipliers notional hours Research Sub tot Publication/outputsCapped at 250 hours for 3 x 3* publications during the past 3 years Grant applications for external funds, irrespective of outcome (of scale to support RA and/or Student) 40 hours (for unsuccessful applications these hours will only be awarded if HoS deems the application was of fundable quality) Esteem and External Admin Tasks (A range of indicators including) Major refereeing Key positions in collaborative research Plenary/Invited lectures Seminars at UK HEIs Invited visits to prestigious institutions Honours & prizes, Fellowships Committee of learned society RCUK committees Up to 300 hours awarded by Head of School Research Assistant/Associate management100 per FTE Research Student supervision120 per FTE Examination of PhD thesis4 hours (convener), 8 hours (internal), 16 hours (external) Current Research GrantsRelative to target set by RG mean for discipline adjusted for sub-discipline 0.25 – 0.5 x target 140 hours 0.5 – 1.5 x target 280 hours >1.5 x target 420 hours Precise tariffs to be agreed and adapted after pilot testing of WLM

9 Administration HoC to define college specific jobs/role and hours tariff Academic to highlight any incorrect data Academic to declare any additional admin tasks undertaken for GLA, hours approved by HoS (e.g. College or University- wide committees) Suggested College hours tariff for admin tasks metrics shown on next slide* Admin. Sub tot * harmonisation across the College is sought, but School variations are possible if a case exists Precise tariffs to be agreed and adapted after pilot testing of WLM

10 Example Administration Multipliers Admin. Sub tot School/Research Institute managementAll roles are graded corresponding to a hours guide of A260--hours B hours C hours D hours E hours F60-100hours G20-60hours H10-20hours Examples UG Teaching managementClass head (C-D), Teaching Committee chair (A), Teaching committee member (E), Hons Exam Chair (E), Head of School (Ax3) PGR and PGT managementClass head PGT (G), Graduate Committee member (D), Research Group Leader (C-F) SchoolSafety Committee Chair (D), Open day organiser (E), Recruitment Committee Chair (B), Research co-ordinator (G), Data Protection Officer (D) College/UniversityRPSC (G), Professorial Working group (G) List to be completed as superset of school/college roles Precise tariffs to be agreed and adapted after pilot testing of WLM

11 Output from WLM WLM to produce sub total for teaching research and admin to INFORM (i.e. not dictate), PDR and HoS allocation of duties – Assumption is that for research active staff, teaching and (none external) admin duties should not exceed 1000* hours – HoS will also take into account hours recouped under funded grants University database to create T4 staff web pages – Including, Outputs, PGR supervision, esteem, duties, contact, photo Single source for university held data which populates the various portals e.g. miniREF, zoning, PDR etc Academics to highlight any errors in central data – central commitment to correct errors within 28 days WLM to output sub. totals * subject to reduction following efficiency improvement and increased levels of academic support


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