Module 6: Day 2 Welcome
Rationale
Participants should be clear about the agenda,
activities and expectations of the Day 2 training.
Activities
- Welcome and review of the day's agenda (5 minutes)
- Review of previous day's highlights and opportunity for questions
(5 minutes)
- Review of the participant desired outcomes flipcharts created
during Module 1 on the previous day (5 minutes)
Time
15 minutes
Objectives
When this module is complete, the participant will be able to:
- Explain the agenda for the day
- Express any progress toward meeting his/her desired outcomes
for the seminar
Materials
Easel, newsprint, markers and tape
Flipchart of the participant's desired outcomes (from Module 1)
Sample overheads and handouts:
1. Day 2 Agenda (6.1)
Advance Preparation
Make sure the flipchart from Module 1, markers,
newsprint pad, and the overhead projector are in the room.
Glossary of Terms
Bibliography and Suggested Reading
Trainer's Instructions
1. Welcome the participants to Day 2 of the seminar and review
the Day 2 Agenda handout and flipchart (6.1).
2. Highlight the events of Day 1 using the following as a guide:
During Day 1, we covered a lot of material on outcomes, performances
measures, the impact of technology, key data elements in SACWIS
and related reports, information elicited during supervision and
the concept of information management.
3. Mention any memorable or humorous comments
made by participants during the previous day.
4. Ask if anyone has any questions, thoughts
or comments on anything covered during Day 1. Address any items
raised by the participants.
5. Refer to the 'Desired Outcomes' flipchart. Ask participants
if they want to add or modify any items. Go through the outcomes,
checking any that the participant's say are done and adding any
new outcomes or modifications. Mention that we will be checking
in on this list again later in the day.
6. Introduce Module 7, Data Analysis Tips, Tools and
Techniques using the following as a guideline:
Everyone in this room has been asked at some time to look at
data and interpret what it means. As more and more data become available,
the need to hone your data analysis skills will increase. In the
next module, we will look at how data and information needs can
vary depending on where you are situated in an organization, as
well as practice some data analysis techniques.
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