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Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place your logo here. Delete this text afterwards.

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Page 1: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Data-driven Information and Communication Technology Planning for Schools,

Divisions, and Regions

Ma. Mercedes T. Rodrigo, Ph.D.7 September 2006

Place your logo here. Delete this text afterwards.

Page 2: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Data-driven Decision Making

• Gathering of information to guide planning

• Removes guesswork and emotion

• Plans are more deliberate and focused

Page 3: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

National Strategic Planning Initiative for ICTs in Basic Education

• Launched in 2005

• Response to calls for reform

• Recognition of the potential benefits of ICTs

• Called for the development of appropriate, effective, and sustainable ICT plans

Page 4: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Appropriate, Effective and Sustainable: How?

• Base decisions and plans on data

• Environmental scan: detailed examination of internal and external ICT resources

• Documents strengths, weaknesses, opportunities, and threats

Page 5: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Data on Strengths

• Internal resources that help institutions attain their goals

• E.g. new equipment in the computer laboratory

Page 6: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Data on Weaknesses

• Internal hindrances to goals

• E.g. lack of trained staff

Page 7: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Data on Opportunities

• External resource that can help achieve targets

• E.g. free training from local colleges or universities

Page 8: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Data on Threats

• External hindrance to goals.

• E.g. obsolescence

Page 10: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Questions to Ask

• Basic utilities• Current facilities• Extent of use of ICT

facilities• Attitudes towards ICTs• ICT skill levels• ICT needs and desired

uses• Perceived obstacles

Page 14: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Attitudes Towards ICTs

• Determinant of success of ICT integration

• Positive or negative attitudes?

Page 18: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Issues in data gathering

• Time issues– Staff is already

overworked

• Financial issues– External funding

required?

• Reliability of data– Cross-validate with

interviews and visits

Page 19: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Data Analysis and Presentation

• Descriptive statistics• SWOT analysis• Case study• Report• Essential: connection

with ICT plans

Page 20: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Example: ABC High School

• Current ICT facilities– ABC High School has 15

computers connected to the Internet

• Current ICT usage– Limited to computer literacy

training only– Computer laboratory is only

used for computer classes

• ICT skills and attitudes– Teachers are computer

literate. – They want to maximize use

of ICTs for teaching other subject areas

• Plan: To train teachers in the use of ICTs for Math and Science

Page 21: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Example: XYZ High School

• Current ICT facilities– XYZ High School has 10 networked computers that

can access the Internet.

• ICT skills and attitudes– None of the teachers, administrators, or staff are

computer literate.– The Mayor is excited about technology

• Plan: To request the Mayor’s office for funding for teacher, administrator and staff training

Page 22: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Essential: Connection with ICT plans

• Facts may be interesting but not relevant, e.g. status of the cafeteria

• Facts gathered should have a direct relationship with or effect on ICT plans, e.g. the availability of electricity and the usage of ICT facilities, the skill levels of the faculty and staff and their ability to support ICT activities.

Page 23: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Conclusion

• Data to guide planning

• Basis for targets and proposed solutions

• Appropriate, effective, and sustainable ICT plans

Page 24: Data-driven Information and Communication Technology Planning for Schools, Divisions, and Regions Ma. Mercedes T. Rodrigo, Ph.D. 7 September 2006 Place

Acknowledgements

• Liezl Formilleza-Dunuan

• Ma. Celeste Gonzalez• Anna Leah F.

Macalincag• Ma. Thelma H. Tan• Victoria L. Tinio