1. ITT and SKE Recruitment Mark Crowley mark.crowley@ntu.ac.uk
May 2019

2. Review recent TSM targets and subsequent ITT recruitment
Objectives
Review recent TSM targets and subsequent ITT recruitment
Consider patterns in recruitment
Review Subject Knowledge Enhancement (SKE) usage
Objectives for this presentation

3. Routes into Teaching – coverage for this presentation
University-led Postgraduate (PGCE/PGDE)
School-centred ITT (SCITT)
School Direct (salaried)
School Direct (tuition fee)
Teach First (Leadership)
Postgraduate Teaching Apprenticeships
Undergraduate degrees (Integral QTS)
Undergraduate opt-in degree (Final year)
Now Teach
Transition to Teach
Troops into Teaching
Researchers in Schools (RiS)
Assessment Only
Future Teaching Scholars
Premier Pathways
HMC Teacher Training
PCET L5 Dip in Ed & Training
EYITT Teacher Training routes
Clarification about the scope for this presentation. Postgraduate courses for which the DfE have published data. Have approached RiS but unsuccessfully.

4. Teacher Supply Model
TSM and initial teacher training allocations:
The PG courses make up the bulk of the target ITT numbers, These are contained in the TSM – this is updated annually.

5. Teacher Supply Model TSM 2019-20 Current stock
of teachers and their wastage rates
The model considers wastage rates. This has been highlighted in recent reports such as Wellcome trust.
Key findings:

6. TSM – Turnover rates & Retention
Current stock
of teachers and their wastage rates
Years of service
NQT
7 Years
Number
of teachers
Issues with SWC/Compendium. Not by subject but by hours taught.
Year qualified

7. TSM – Turnover rates & Retention
Secondary
Physics
This does not represent Physics NQTs.
Instead, the number of NQTs teaching Physics (KS3-5) regardless of their ITT specialism.

8. 47% 36% 12% 41% ITT target Teacher Supply Model TSM 2019-20
Current stock
of teachers and their wastage rates
Teaching hours per subject and DfE policies (EBacc)
Growth of pupil population and additional teachers needed
Net growth by comparing entrants versus leavers
Success of ITT routes feeding NQTs into state schools
PG Routes into Physics assumed to be
Model expects 53% of entrants will be NQTs
HEI SD
SCITT
47%
36%
12%
41%
82%
84%
71%
77%
87%
76%
Change from prior model which expected NQTs form 50% of entrants. However this assumption is applied regardless of the subject
ITT target
Completion and Employment

9. TSM: Attrition rates Physics
Completion and Employment 0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100% 0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
81%
82%
74%
79%
87%
Attrition rates have changed with each version of the TSM. The current version is based on the four years up to 2015/16
60%
65%
69%
Attrition rates included in each iteration of the model have changed – but data is dated.
HEI
School Direct
SCITT

10. Attrition rates
TSM
Historic completion and employment rates are applied to the NQT need in order back- calculate the ITT target:
Subject
Target
Attrition rates
NQTs
Entrants
90%
88%
83%
80%
78%
74%
Biology
1190
1150
1265
855
790
775
1610
1480
1460
Chemistry
Explanation of back-calculation
Physics
Completion and Employment

11. Recruitment vs Targets
Physics
Target
1265
200
400
600
800
1000
1200
1400
91%
71%
70%
65%
68%
80%
EBITT/SD
HEI/SCITT
Number of trainees
47%
How successful the targets have been met. Note Increase in Phys target for

12. Recruitment vs Targets
Chemistry
Target
1152
200
400
600
800
1000
1200
1400
EBITT/SD
HEI/SCITT
110%
132%
94%
117%
82%
98%
79%
Number of trainees
Note Increase in Chem target for

13. Recruitment vs Targets
Biology
153%
Target
1192
101%
96%
88%
84%
85%
115%
200
400
600
800
1000
1200
1400
EBITT/SD
HEI/SCITT
Number of trainees
Recruitment controls have clearly note been applied.
Information here about when RC were supposed to be applied.

14. Consider the impact of hitting target but not the modelled
Shortfall in census
TSM
Has the shortfall in the TSM target by Physics and Chemistry been offset by massive gains in Biology? Consider if the NQT need is still being met :
NQTs
Subject
1815
830
575
Census
Target
1190
1050
1265
Attrition rates
Likely
Model
Consider the impact of hitting target but not the modelled
35%:33%:32%
90%
88%
83%
80%
78%
74%
Biology
1310
590
350
850
790
780
Chemistry
So even the massive over-recruitment in Biology does not balance out the shortfall in Chem/Phys.
Retrograde step to the situation 10 years ago….
Physics
Likely NQT 2250 :Model 2420

15. ITT Census - Science ratio
Biology
Physics
Chemistry
Over the last ten years, the ratio of separate sciences initially matched the move to more equitable allocations growing in favour of chemistry and more recently back toward Biology as the dominant subject
DfE did not publish data for

16. ITT Census - Science ratio
Biology
Physics
Chemistry

17. ITT Census - Science ratio
Biology
Physics
Chemistry

18. ITT Census - Science ratio
Biology
Physics
Chemistry

19. ITT Census - Science ratio
Biology
Physics
Chemistry

20. ITT Census - Science ratio
Biology
Physics
Chemistry
Teach First data started to be included in the census but their data have been removed from the following pie-charts.

21. ITT Census - Science ratio
Biology
Physics
Chemistry

22. ITT Census - Science ratio
Biology
Physics
Chemistry

23. ITT Census - Science ratio
Biology
Physics
Chemistry
What is the likely ratio of science numbers for from UCAS data?

24. Recruitment
Placed+
Conditional

25. Expect a drop off with conditions not being met
Recruitment
Placed+
Conditional
Generic
Expect a drop off with conditions not being met
1000
900
800
700
Conditional
600
Number of applicants
500
400
Holding offer
Placed
300
Explaining the following charts
200
100
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
End of
cycle

26. Recruitment
Placed+
Conditional
Biology
200
400
600
800
1000
1200
1400
1600
1800
2000
UCAS
data drop
Number of
applicants
UCAS cycles have started as early as 9th Oct and as late as 26th Oct
Change from publication date into day within recruitment cycle.
Nov
Dec
Jan
Feb
Mar
Apr
May
June
July
Aug
Sept
Census

27. Biology Recruitment 2015-19 *4th May 18 26th April 17 55 75 4th May 16
Placed+
Conditional
Biology
200
400
600
800
1000
1200
1400
1600
1800
2000
Day 190
*4th May 18
26th April 17
Placed 55
Conditional Firm 75
4th May 16 90
520
825
835
17th April 19 40
875
Number of
applicants
Days since
UCAS opened 30 60 90
120
150
180
210
240
270
300
330
360
Census

28. Chemistry Recruitment 2015-19 2015-16 2016-17 2017-18 2018-19
Placed+
Conditional
Chemistry
1200
UCAS
data drop
Number of
applicants
1000
800
600
400
200
Nov
Dec
Jan
Feb
Mar
Apr
May
June
July
Aug
Sept
Census

29. Chemistry Recruitment 2015-19 *4th May 18 26th April 17 55 20
Placed+
Conditional
Chemistry
1200
Day 190
*4th May 18
26th April 17
Placed 55
Conditional Firm 20
4th May 16 60
400
350
560
17th April 19 15
360
Number of
applicants
1000
800
600
400
200
Days since
UCAS opened 30 60 90
120
150
180
210
240
270
300
330
360
Census

30. Physics Recruitment 2015-19 2015-16 2016-17 2017-18 2018-19 Number of
1000
900
UCAS
data drop
Number of
applicants
800
700
600
500
400
300
Nov
Dec
Jan
Feb
Mar
Apr
May
June
July
Aug
Sept
EoC
Census
200
100

31. Physics Recruitment 2015-19 *4th May 18 26th April 17 20 15 4th May 16
1000
Day 190
*4th May 18
26th April 17
Placed 20
Conditional Firm 15
4th May 16 40
310
260
395
17th April 19 10
225
900
Number of
applicants
Number of
applicants
800
700
600
500
400
300
200
100
Days since
UCAS opened 30 60 90
120
150
180
210
240
270
300
330
360
Census

32. Physics Recruitment 2015-19 120 HEI 100 SD (fee) 80 60 SCITT 40 2020 40 60 80
100
120
HEI
SD (fee)
SCITT
SD (sal)
Physics
1000
900
Number of
applicants
Number of
applicants
800
700
600
500
400
300
200
100
Days since
UCAS opened 30 60 90
120
150
180
210
240
270
300
330
360
Census

33. ITT Census - Science ratio
Biology
Physics
Chemistry
What is the likely ratio of science numbers for from UCAS data?

34. ITT Census - Science ratio
Biology
Physics
Chemistry
*Based on current UCAS data
Are particular ITT routes more successful than others at recruitment?

35. ITT Census – numbers by route
Physics
100
200
300
400
500
HEI
SCITT
SD (Fee)
SD (Sal)
Teach First
Number in Nov census

36. ITT Census – proportions by route
Physics
UCAS for currently shows approximately:
HEI 46%
SCITT 21%
SD Fee 30%
SD Sal 2% 0%
10%
20%
30%
40%
50%
60%
HEI
SCITT
SD (Fee)
SD (Sal)
Teach First
Proportion in Nov census

37. ITT Census – number by route
Biology
200
400
600
800
1000
HEI
SCITT
SD (Fee)
SD (Sal)
Teach First
Number in Nov census

38. ITT Census – proportions by route
Biology
UCAS for currently shows approximately:
HEI 53%
SCITT 14%
SD Fee 31%
SD Sal 2% 0%
10%
20%
30%
40%
50%
60%
HEI
SCITT
SD (Fee)
SD (Sal)
Teach First
Proportion in Nov census

39. ITT Census – numbers by route
Chemistry
100
200
300
400
500
600
HEI
SCITT
SD (Fee)
SD (Sal)
Teach First
Number in Nov census

40. ITT Census – proportions by route
Chemistry
UCAS for currently shows approximately:
HEI 49%
SCITT 17%
SD Fee 32%
SD Sal 3% 0%
10%
20%
30%
40%
50%
60%
HEI
SCITT
SD (Fee)
SD (Sal)
Teach First
Proportion in Nov census

41. Subject Knowledge Enhancement
April 2018

42. SKE – recent guide
10. SKE funding is … available for courses of 8 weeks … for those applying to PE with EBacc ITT courses. 20. PG ITT courses… the completion of a SKE course must be a specific condition of the conditional ITT offer. 21. Teach First candidates. Teach First participants are eligible for SKE funding, providing they meet the criteria set by Teach First. 22. UG courses. Programme and bursary funding is available for eligible participants on designated UG courses in secondary maths and physics that lead to QTS (including opt-in).
For PE with EBacc, the ‘with’ subject must be one where SKE funding is available. All places on PE with Ebacc ITT courses must also be agreed in advance with the ITT allocations team.

43. SKE - courses TSM and initial teacher training allocations:2019-2020
TSM and initial teacher training allocations:

44. SKE Directory
Rather than published as an excel spreadsheet, provided by the DfE as a webpage.
What do the expert advisers on Freephone or via our online chat service between 8am and 8pm, Monday to Friday. 

45. Teachers Analysis Compendium
TSM and initial teacher training allocations:

46. SKE uptake – overall figures
ITT
Data yet to be released for SKE – Paul Steele from DfE has responded to recent to agree to provide this shortly.
Subject
SKE 16-17
ITT 17-18
SKE/ITT
Biology
343
327
332
1025
875
715
33%
37%
46%
Chemistry
Table 1.5: Subject Knowledge Enhancement by subject 2017/181       ITT year: 2017/18             Coverage: England                           SKE Subject Total SKE Trainees Total ITT Trainees in Census for SKE Subjects Proportion of all ITT trainees taking SKE       Biology 343 1,025 33%       Chemistry %       Classics %       Computing %       Design & Technology %       English 288 2,175 13%       Geography 367 1,225 30%       Mathematics 1,148 2,450 47%       Modern Foreign Languages 775 1,405 55%       Physics %       Total 3,921 10,715 37%                                                 Note: ITT is initial teacher training           1 Total in Census – Table 1: Provisional data on postgraduate ITT new entrants (including forecast new entrants) and training places by subject, Initial teacher training: trainee number census to 2018
Physics

47. SKE uptake – by length of course
66%
400
60%
55%
350
300
250
Short 8-12
Number of partticipants
200
150
Med 16-20
100
Big four across the sciences are:
VIDLEARN (100)
Bradford College*(100)
University of Sussex (100)
TES Institute (340)
About 66% of all science SKE. 50
Long 24+
Biology
Physics
Chemistry

48. Marketing SKE
The Department (for Education) has increased marketing investment; intensified marketing activities; introduced more frequent bursts of TV advertising; and added new marketing channels. TV & Video, Social Media and paid Search have been the strongest drivers of website sessions in the latest period; with paid Search and Social Media also being the most cost-effective marketing drivers.

49. Any questions?
Mark Crowley Senior Lecturer in Science Education Nottingham Trent University +(44)
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