Consolidated Summary Sheet for Participant - Evaluation of the Training Course CSPT Overall Summary
Programme / Course / Workshop Title
Code
Training Institution
Duration
Blended Learning Course/Workshop Environmental Statistic &
DRM/DRR - Introduction
AI|2009|ADMIN|85
NIDM - InWEnt Cap.Build.Intern.
from
27.09.2010
to
28.09.2010
Overall training course and objectives
(Q: 9-1, 6-1 to 6-3 and 5-1 to 5-3)
Number of questions (7) where response rounded average is equal to
Evaluation
Index (EI)*
1
1
Objectives:
6-1-1
6-1-2
2
6
3
0
4
0
5
0
5,5
Rating**
successful
Introduction of the blended learning methodology
Use of blended learning to use available statistical information for improvement of
preparedness, response to disasters and relief and recovery after disasters
Develop in group work a first concept of a blended learning approach in DRM and
Statistics
6-1-3
Please name topics that were not covered, but would have been important for your
work!
9-2
Environmental statistics; analysing the data and synthesising; stat. Tools not covered adequately;
I liked especially:
9-3
Online methodology; presentation and lectures; way of presentation; help to tutor in planning; group activity;
discussions on stat. Part; the presentations of the facilitator;
I disliked especially:
9-4
Lack of application of Statistics in DRM; group work on design of training was not needed;
Organisation and venue
(Q: 7-1 to 7-11)
Number of questions (11) where response rounded average is equal to
Evaluation
Index (EI)*
1
0
2
10
3
1
4
0
5
0
8
Rating**
very good
Remarks
7-5-1
In your view, which materials or information were
omitted?
Analysis & conclusions by participants
Follow-up
Which follow-up activities would you recommend?
8-1
Keeping in touch with participants; implement the course; Abut e-learning module; Support from head office in
time management; module to be developed and launched with inputs from workshop at the earliest; sharing
reports/analysis done with the tools learned;
8-2
What action does your institution need to carry out in order to take maximum
advantage of this training?
To decide to take up an online training course for DRM; networking; skills for designing an e-learning module;
Training to PRIS; Support from head office in time management; lesson training design and more on statistics
and application in DM;
Further comments and suggestions for improvements:
8-3
More online learning; application of statistics for convincing the stakeholders; face to face at least in the
beginning and in the end; series of latest developments; introduce more stat. Tools and compare with already
existing analysis;
Awareness, skills and immediate action
What kind of awareness did you receive through this training?
10-1
Online module development; communication, specialised importance; a blended learning approach; Blended
Learning; online training course design; new technologies; constraints of stat. Methods; we can use stat. Tools
in our routine activities and reports;
Which skills did you acquire or improve through this training?
10-2
The design of a online course; designing; Lab to Land; statistical methods; disasters as a course and how to
prepare preparedness programmes; statistical tools;
As a result of this training, what immediate action can you perform at your work in
future?
10-3
To use in a limited scale in a face to face training; provide better content; I would like to apply the same
methodology; Natural disaster management programme; Design of course module; use of new techniques;
facilitate choosing participants and organising the online course; use the knowledge we acquired;
Methodology / learning effect - How do you assess
(Q: 4-1 to 4-5 and 3-1 to 3-5)
Number of questions (11) where response rounded average is equal to
Evaluation
Index (EI)*
1
2
3
0
11
0
Relevance and impact of the work
4
0
5
0
Number of questions (4) where response rounded average is equal to
1
2
2
2
3
0
4
0
5
0
Rating**
8,25
(Q: 2-1 to 2-4)
Evaluation
Index (EI)*
very good
Rating**
3,5
very good
2-1-1
Please name topics that were not covered, but would have been important for your work!
Generating any Statistics and us of them in DRR; better designing; statistical tools; statistical analysis, new
trends; interested to know about stat. Methods which were not covered; we can do after the full course;
2-2-1
If you can't apply the new skills, please give your reasons
2-3-1
Please explain the plans for implementation of your skills in brief!
Use it as training and cyclone shelter management and community needs; Presenting reports and proposals; at
PRIS; Early warning and weather forecasting; case studies projects; Analysing existing data using stat. Tools for
vulnerability report; write preparing reports; the institute I am working for has already embarked on e-learning future cooperation with GTZ-InWEnt is r...?;
2-3-2
What support do you need for an efficient implementation?
technical guidance; simple and precise information; promotion and follow ups; statistics droughts and floods;
online course work; clarification and guidance; Need detailed training on stat. Methods, advantage and
limitations; knowledge on use of stat. tools;
2-4-1
If you can't pass your new expertise to colleagues, please give the reason
for developing online course on HRDP-idrm platform;
Based on the rounded average of all modules
The complexity of the course / module content was
The amount of information was
Questions 3.6 and 3.7
just right
just right
Explanations of the evaluation process
The Evaluation Index is calculated by giving a weight to each frequency of answer scores (rounded from values
between 1 and 5) FRAAS.
* Relative weight of mode for Evaluation Index (EI) calculations:
Average
rounded
1
2
3
4
5
weight
1,00
0,75
0,50
0,25
0,00
The Evaluation Index is the sum of weighted frequencies of the answer scores
(rounded from values between 1 and 5):
("FRAAS =1" *1)+("FRAAS =2"*0,75)+("FRAAS =3"*0,5)+("FRAAS
=4"*0,25)+("FRAAS =5"*0)
frequency of rounded average answer score = FRAAS
These weights will automatically be applied in the analysis
For each category of questions, the intervals of the Evaluation Index are translated into the following verbal
values. The intervals depend on the number of questions in the category.
The ranges and verbal values for each category of questions:
Overall training course and objectives
Range of EI-scores
Rating**
5,6 - 7 (>80%)
very successful
3,5 to 5,5 (>50%)
successful
3,4 or below (<50%)
unsuccessful
Organisation and venue
Range of EI-scores
Rating
10 - 11 (90%)
excellent
7,7 -9,9 (70%)
very good
5,5 - 7,6 (50%)
good
below 5,5
poor
Methodology / learning effect - How do you assess
Range of EI-scores
Rating
9,9 - 11 (90%)
excellent
7,7 - 9,8 (70%)
very good
4,4 - 7,6 (40%)
good
below 4,4
poor
Relevance and impact of the work
Range of EI-scores
Rating
3,6 - 4 (90%)
excellent
2,8 - 3,5 (70%)
very good
2 - 2,7 (50%)
good
below 2
poor
(Q: 9-1, 6-1 to 6-3 and 5-1 to 5-3)
7
Questions
(Q: 7-1 to 7-11)
11
Questions
(Q: 4-1 to 4-5 and 3-1 to 3-5)
11
Questions
(Q: 2-1 to 2-4)
4
Questions