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APCICT M&E Framework Initiative
Incheon 3rd
November 2010
Presented by Prof John Ure
Director, Telecommunications Research Project,
University of Hong Kong
Director, TRPC Pte Ltd, Singapore
http//www.trpc.com.hk
Title slide
Introduction to Part 2
Section Divider
Why M&E?
 Short term: test for …
 course improvements (delivery, organization, etc)
 course relevance of content to stakeholders
(sponsors, clients, participants, others?)
 Long term: sustainability
 Results/course outcomes (practical measures)
 Returns on investment or expectations (value for
money for the sponsor or client)
3
The (Revised) Kirkpatrick Model
4
Kirkpatrick & Kirkpatrick note …
 “Trainers must begin with desired results and then
determine what behavior is needed to accomplish
them…” (Don Kirkpatrick)
It is unfortunate that the message above has been
missed by many learning professionals. For
decades, practitioners have attempted to apply the
four levels after a program has been developed and
delivered. It is difficult, if not impossible, to create
significant training value that way. (Jim & Wendy
Kayser Kirkpatrick)
5
Revisions to TKM
 Level 5: value-for-money for the sponsor/client
⇒ sustainability
 return on investment (Philips,1997)
 return on expectations (Kirkpatrick & Kirkpatrick,
2009)
 Level 0: planning, monitoring & evaluation
(PME) including baseline data for next cycle
 added for this Report (to take into account Kirkpatrick
& Kirkpatrick)
 Links to Level 5

6
The Planning Cycle
7
M&E Frameworks, Methodologies
and Assessment Tools
 M&E Framework
 Offers a systematic approach to M&E
 Does not specify methodologies
 M&E Methodologies
 Offer consistent ways of measuring
 Offer consistent things to measure
 M&E Tools
 Offer specific ways to measure
 Offer alternative ways to measure
8
M&E Frameworks, Methodologies
and Assessment Tools
9
The (Revised) Kirkpatrick Model: Levels
Section Divider
Level 0: Framework
 PME to create value for the sponsor/client
 Links to Level 5 and the sponsor/client
 Identify principal stakeholder needs/design a course
accordingly
 Identify learning targets and indicators
 Design M&E mechanism
 Baseline data
 Get baseline data from sponsor/client, or…
 Design method for baseline data
11
Level 0: Methods
 Select an approach that fits
 Directly measurable inputs-outputs-outcomes favours
LFA and its derivatives (Cost-Benefit Analysis,
Results-Based Monitoring, etc)
 Boundary conditions favour OM and its derivatives
(Utilization-Focused Evaluation, Enterprise Variables,
etc)
 If needing to target a group, choose a method
 GEM for gender monitoring and evaluation
 Communications-4-Development for M&E of
individual ICT benefits
12
Level 0: Tools
 Plan to use tools that are resource effective
 Questionnaires are easy to use, but not so easy to
design for useful information
 Interviews may be a good way to collect baseline data
 Problem-solving workshops, role-play scenarios, etc
can be planned into the design of the course so the
tutoring/learning/assessment is simultaneous
 etc
 Distinguish where possible between M and E
 Think of M (L1) + E1 (L2) + E2 (L3)
13
Monitoring vs. Evaluation
 Monitoring
 How participants react… but reaction to what?
 React to learning? (ask participants if they have
learned something as they go along! Is the course
working?)
 Evaluation
 How relevant was the learning?
 E1 = evaluation at the end-of-course relevant learning
outcomes at L2
 E2 = evaluation post-course = on-the-job (OTJ)
behavioural outcomes at L3
14
Examples of M&E tools: for any level, but the
questions they are designed to answer will vary with
levels
15
Examples of M&E tools: for any level, but the
questions they are designed to answer will vary with
levels
16
Examples of M&E tools: for any level, but the
questions they are designed to answer will vary with
levels
17
Level 1: Reaction (1)
 The “happiness test”
 Usually end-of-course questionnaire
 But happy with what? Too many boundary conditions?
(Happy to have time off to study?)
 Ideally measure happiness with the learning process/
ideally capture sense of what has been learned so far
 Compare with baseline data to check learning
momentum
 Mostly subjective Qs, but objective Qs are helpful
18
Level 1: Reaction (2)
 Is it M or E? Ideally, M comes before E
 Course design can build in practical workshops, role
play, simulations, etc., each providing evidence of
learning – requires an experienced tutor /assessor
 M&E can be done simultaneously
 Questionnaire needs to make distinction in its Qs
between
• satisfaction with the learning process
• the relevance of what was learned
 Does APCICT practice succeed?
19
Level 1: Some Options
20
Level 2: Learning (1)
 Evaluation (E1) of the learning that has taken place and
its relevance to the participants/clients/sponsors
 Typically end-of-course by questionnaire, but there are
other means for E1
 FGDs involving all participants or a random selection
 Case studies presentations by teams, maybe using their
workplace examples
 Examinations, tests, demonstrations, etc
 Individual initiatives
 Building in time at course end to discuss the feedback with
participants can also yield additional insights.
21
Level 2: Some Options
22
Level 2: Learning (2)
 Baseline data comparisons
 This is what it is all about – measuring learning and
assessing progress
 More objective than only relying upon subjective end-
of-course opinions of participants
 Meaningful comparisons rely upon the quality of the
design and administration of the assessment tool
 Making analytical sense of evaluation
 Data reveals more through analysis – training in how
to analyze data is important
 Component analysis can be used in qualitative data
23
Component Analysis: Q24 Module 7
24
Do you any comments on how this module could be improved?
Level 3: Behavioural (1)
 Evaluating (E2) behavioural changes in the
workplace/other post-course environment
 Is where it usually stops!
 How to identify behavioural changes?
 Objective indicators = productivity, costs, quality of
work, new OTJ capabilities, etc
 Subjective indicators = post-course personal
experience/feelings of confidence, knowledge,
awareness, etc
25
Level 3: Behavioural (2)
 How to attribute them to learning outcomes?
 Objective = trace through specific skill sets, knowledge,
etc, directly to related OTJ responsibilities/ performance
 Subjective = personal experience
 What tools to use?
 Objective = tests, performance reviews, pay and
promotions, etc
 Subjective = storytelling (GEM), personal assessment
(OM), FGDs, individual initiative, etc
 Who does the evaluation?
 Trainers or client/sponsor or collaboration? (See PME)
26
Level 3: Some Options
27
Level 4: Results (1)
28
Results are the long term outcomes of the learning process which
may have contributed only 10% (cited Kirkpatrick & Kirkpatrick)
Level 4: Results (2)
 How are Results estimated?
 If inputs-outputs-outcomes are directly attributable,
then using LFA methodologies results can, in theory,
be quantified
 If not, then another helpful technique is the
counterfactual = what might the situation have been
without the training?
 Who does the estimations?
 Probably not training institutions
 Development agencies running projects probably do
29
Level 4: Some Options
30
Level 4: Some Options
31
Level 5: Returns
 Returns
 If monetized = return on investment (Philips) – eg. cost
savings of new software package/cost of the skills training
 If not = return on expectations (K&K) – eg. were the
enhanced staff competencies worth paying for?
 Who calculates?
 Almost certainly the client/sponsor (doesn’t always follow;
training budgets are sometimes there to be spent!)
 Often the development agency (= sponsor?)
 Sustainability
 If returns are positive = more likely to fund next cycle
32
Way Forward for APCICT?
Section Divider
APCICT: A Way Forward?
34
APCICT: A Way Forward?
35
APCICT: A Way Forward?
36
Building the Leaders of
Tomorrow!
Section Divider

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APCICT M&E Framework Initiative (Part 2)

  • 1. APCICT M&E Framework Initiative Incheon 3rd November 2010 Presented by Prof John Ure Director, Telecommunications Research Project, University of Hong Kong Director, TRPC Pte Ltd, Singapore http//www.trpc.com.hk Title slide
  • 2. Introduction to Part 2 Section Divider
  • 3. Why M&E?  Short term: test for …  course improvements (delivery, organization, etc)  course relevance of content to stakeholders (sponsors, clients, participants, others?)  Long term: sustainability  Results/course outcomes (practical measures)  Returns on investment or expectations (value for money for the sponsor or client) 3
  • 5. Kirkpatrick & Kirkpatrick note …  “Trainers must begin with desired results and then determine what behavior is needed to accomplish them…” (Don Kirkpatrick) It is unfortunate that the message above has been missed by many learning professionals. For decades, practitioners have attempted to apply the four levels after a program has been developed and delivered. It is difficult, if not impossible, to create significant training value that way. (Jim & Wendy Kayser Kirkpatrick) 5
  • 6. Revisions to TKM  Level 5: value-for-money for the sponsor/client ⇒ sustainability  return on investment (Philips,1997)  return on expectations (Kirkpatrick & Kirkpatrick, 2009)  Level 0: planning, monitoring & evaluation (PME) including baseline data for next cycle  added for this Report (to take into account Kirkpatrick & Kirkpatrick)  Links to Level 5  6
  • 8. M&E Frameworks, Methodologies and Assessment Tools  M&E Framework  Offers a systematic approach to M&E  Does not specify methodologies  M&E Methodologies  Offer consistent ways of measuring  Offer consistent things to measure  M&E Tools  Offer specific ways to measure  Offer alternative ways to measure 8
  • 10. The (Revised) Kirkpatrick Model: Levels Section Divider
  • 11. Level 0: Framework  PME to create value for the sponsor/client  Links to Level 5 and the sponsor/client  Identify principal stakeholder needs/design a course accordingly  Identify learning targets and indicators  Design M&E mechanism  Baseline data  Get baseline data from sponsor/client, or…  Design method for baseline data 11
  • 12. Level 0: Methods  Select an approach that fits  Directly measurable inputs-outputs-outcomes favours LFA and its derivatives (Cost-Benefit Analysis, Results-Based Monitoring, etc)  Boundary conditions favour OM and its derivatives (Utilization-Focused Evaluation, Enterprise Variables, etc)  If needing to target a group, choose a method  GEM for gender monitoring and evaluation  Communications-4-Development for M&E of individual ICT benefits 12
  • 13. Level 0: Tools  Plan to use tools that are resource effective  Questionnaires are easy to use, but not so easy to design for useful information  Interviews may be a good way to collect baseline data  Problem-solving workshops, role-play scenarios, etc can be planned into the design of the course so the tutoring/learning/assessment is simultaneous  etc  Distinguish where possible between M and E  Think of M (L1) + E1 (L2) + E2 (L3) 13
  • 14. Monitoring vs. Evaluation  Monitoring  How participants react… but reaction to what?  React to learning? (ask participants if they have learned something as they go along! Is the course working?)  Evaluation  How relevant was the learning?  E1 = evaluation at the end-of-course relevant learning outcomes at L2  E2 = evaluation post-course = on-the-job (OTJ) behavioural outcomes at L3 14
  • 15. Examples of M&E tools: for any level, but the questions they are designed to answer will vary with levels 15
  • 16. Examples of M&E tools: for any level, but the questions they are designed to answer will vary with levels 16
  • 17. Examples of M&E tools: for any level, but the questions they are designed to answer will vary with levels 17
  • 18. Level 1: Reaction (1)  The “happiness test”  Usually end-of-course questionnaire  But happy with what? Too many boundary conditions? (Happy to have time off to study?)  Ideally measure happiness with the learning process/ ideally capture sense of what has been learned so far  Compare with baseline data to check learning momentum  Mostly subjective Qs, but objective Qs are helpful 18
  • 19. Level 1: Reaction (2)  Is it M or E? Ideally, M comes before E  Course design can build in practical workshops, role play, simulations, etc., each providing evidence of learning – requires an experienced tutor /assessor  M&E can be done simultaneously  Questionnaire needs to make distinction in its Qs between • satisfaction with the learning process • the relevance of what was learned  Does APCICT practice succeed? 19
  • 20. Level 1: Some Options 20
  • 21. Level 2: Learning (1)  Evaluation (E1) of the learning that has taken place and its relevance to the participants/clients/sponsors  Typically end-of-course by questionnaire, but there are other means for E1  FGDs involving all participants or a random selection  Case studies presentations by teams, maybe using their workplace examples  Examinations, tests, demonstrations, etc  Individual initiatives  Building in time at course end to discuss the feedback with participants can also yield additional insights. 21
  • 22. Level 2: Some Options 22
  • 23. Level 2: Learning (2)  Baseline data comparisons  This is what it is all about – measuring learning and assessing progress  More objective than only relying upon subjective end- of-course opinions of participants  Meaningful comparisons rely upon the quality of the design and administration of the assessment tool  Making analytical sense of evaluation  Data reveals more through analysis – training in how to analyze data is important  Component analysis can be used in qualitative data 23
  • 24. Component Analysis: Q24 Module 7 24 Do you any comments on how this module could be improved?
  • 25. Level 3: Behavioural (1)  Evaluating (E2) behavioural changes in the workplace/other post-course environment  Is where it usually stops!  How to identify behavioural changes?  Objective indicators = productivity, costs, quality of work, new OTJ capabilities, etc  Subjective indicators = post-course personal experience/feelings of confidence, knowledge, awareness, etc 25
  • 26. Level 3: Behavioural (2)  How to attribute them to learning outcomes?  Objective = trace through specific skill sets, knowledge, etc, directly to related OTJ responsibilities/ performance  Subjective = personal experience  What tools to use?  Objective = tests, performance reviews, pay and promotions, etc  Subjective = storytelling (GEM), personal assessment (OM), FGDs, individual initiative, etc  Who does the evaluation?  Trainers or client/sponsor or collaboration? (See PME) 26
  • 27. Level 3: Some Options 27
  • 28. Level 4: Results (1) 28 Results are the long term outcomes of the learning process which may have contributed only 10% (cited Kirkpatrick & Kirkpatrick)
  • 29. Level 4: Results (2)  How are Results estimated?  If inputs-outputs-outcomes are directly attributable, then using LFA methodologies results can, in theory, be quantified  If not, then another helpful technique is the counterfactual = what might the situation have been without the training?  Who does the estimations?  Probably not training institutions  Development agencies running projects probably do 29
  • 30. Level 4: Some Options 30
  • 31. Level 4: Some Options 31
  • 32. Level 5: Returns  Returns  If monetized = return on investment (Philips) – eg. cost savings of new software package/cost of the skills training  If not = return on expectations (K&K) – eg. were the enhanced staff competencies worth paying for?  Who calculates?  Almost certainly the client/sponsor (doesn’t always follow; training budgets are sometimes there to be spent!)  Often the development agency (= sponsor?)  Sustainability  If returns are positive = more likely to fund next cycle 32
  • 33. Way Forward for APCICT? Section Divider
  • 34. APCICT: A Way Forward? 34
  • 35. APCICT: A Way Forward? 35
  • 36. APCICT: A Way Forward? 36
  • 37. Building the Leaders of Tomorrow! Section Divider