Transcript workload model

WLM in College of Science and
Engineering
Ethos: implementation
ANY SUCCESSFUL IMPLEMENTATION OF A WLM REQUIRES ACCURATE PREPOPULATION 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
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
WLM fully integrated to other
Glasgow databases
T4 indiv.
web page
SLP
PDR
RandE/
finance
Single
source of
University
held data
WLM
-teaching
- research
- admin.
WLM may be used to highlight
errors for investigation and
correction by central services
Enlighten
Mini REF
etc
HR
Web based WLM, suitable for
desktop or VPN access
Teaching
Sub tot
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*
* 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
Teaching
Sub tot
Example Teaching Multipliers
Lectures: preparation, revision, setting
of questions and exams, gen. admin.
New course development
4 x contact hours + 1 hour per 10 students enrolled on course
Tutorials/supervision
2 x contact hours
Laboratories / field trips
1.25/2 x contact hours
Marking
1 hour per 3 students enrolled on course
UG projects, creation, supervision,
marking and second marking
PGT projects, creation, supervision,
marking and second marking
Extended essays and viva
1 hour per credit, split between “first” and “second” supervisor
Advisor of Studies
2 hours per student
5 hours/1 hour lecture (assigned in addition to those hours under lectures)
1.5 x contact hours
To be discussed
List to be completed as superset of school/college roles
administration of teaching e.g. class headships etc collected under administration
Precise tariffs to be agreed and adapted after pilot testing of WLM
Research
Sub tot
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*
* 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
Research
Sub tot
Example Research Multipliers
“notional hours”
Publication/outputs
Research Assistant/Associate management
Capped at 250 hours for 3 x 3* publications during the past 3
years
40 hours (for unsuccessful applications these hours will only be
awarded if HoS deems the application was of fundable quality)
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
100 per FTE
Research Student supervision
120 per FTE
Examination of PhD thesis
4 hours (convener), 8 hours (internal), 16 hours (external)
Current Research Grants
Relative 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
Grant applications for external funds, irrespective of outcome
(of scale to support RA and/or Student)
Esteem and External Admin Tasks (A range of indicators
including)
Precise tariffs to be agreed and adapted after pilot testing of WLM
Admin.
Sub tot
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 Universitywide committees)
• Suggested College “hours” tariff for admin tasks metrics
shown on next slide*
* 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
Admin.
Sub tot
Example Administration Multipliers
School/Research Institute management
Examples UG Teaching management
PGR and PGT management
School
College/University
All roles are graded corresponding to a hours guide of
A
260 hours
B
220 260 hours
C
180 220 hours
D
140 180 hours
E
100 140 hours
F
60
100 hours
G
20
60
hours
H
10
20
hours
Class head (C-D), Teaching Committee chair (A), Teaching committee
member (E), Hons Exam Chair (E), Head of School (Ax3)
Class head PGT (G), Graduate Committee member (D), Research Group
Leader (C-F)
Safety Committee Chair (D), Open day organiser (E), Recruitment
Committee Chair (B), Research co-ordinator (G), Data Protection Officer
(D)
RPSC (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
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
* subject to reduction following efficiency improvement and increased levels of academic support
WLM to output sub. totals