The document outlines a comprehensive planning framework for educational institutions, detailing components such as principles, vision, goals, and objectives essential for effective planning. It also describes data gathering and processing activities necessary for informed decision-making, including teacher and resource allocation information and dropout rates analysis. Furthermore, it emphasizes the importance of stakeholder engagement and the implementation of data-driven strategies to improve educational outcomes.

1. Major Activities
Performed Regarding
Planning
Data Gathering &
Processing
Dr. Hafiz Kosar

2. Planning Framework 3
Data Gathering Activities
for Educational Planning 4
Broad Planning
Process
13
Data Processing
Activities for
Educational
Planning
9
Content

3. PLANNING
FRAMEWORK
A planning framework serves asthe
fundamental structure guiding the process
of planning. This framework encompasses
various key components, each with its own
distinctive role in the planning process.
Let's delve into each of these components
in more detail, accompanied by illustrative
examples:

4. 1. Principles
Principles are fundamental
rules or concepts that guide
decision-making. For
instance, a company may
have a principle of
sustainability that influences
all its planning decisions,
ensuring a commitment to
environmental responsibility.
2. Vision
The vision is a broad and
aspirational description of the
desired outcome of the planning
process. An example could be a
city's vision to become a "green
and sustainable metropolis" in
the next decade, setting the tone
for urban planning and
development.

5. 3. Problem
Problems represent undesirable
conditions that planning aims to
address, whether by solving,
reducing, or compensating for
them. In the context of public
health, a problem might be the
high prevalence of a specific
disease, prompting a planning
effort to mitigate its impact.
4. Goals
Goals are overarching, often
abstract conditions that planning
aims to achieve, such as wealth,
health, equity, or freedom. For a
non-profit organization, a goal
might be to improve community
well-being, which then informs
more specific planning efforts.

6. 5. Objectives
Objectives are specific and
potentially quantifiable ways to
attain broader goals. For
instance, if the goal is to enhance
educational equity, an objective
could be to increase the number
of scholarships awarded to
underprivileged students.
6. Targets or
standards
These are quantitative levels
that objectives should reach. In
the case of reducing carbon
emissions, a target could be to
achieve a 20% reduction by
2030.

7. 7. Performance
Indicators
These are practical metrics used to
measure progress toward
objectives. If the objective is to
improve public transportation,
performance indicators might
include on-time arrival rates,
passenger satisfaction surveys, and
ridership numbers.
8. Plans
Plans outline a scheme or a set
of actions to achieve specific
objectives. For instance, a
business might create a
strategic plan for expanding into
new markets or an action plan
for launching a new product line.

8. 9. Options
Options are various possible
ways to achieve an objective or
solve a problem. In urban
planning, options might include
increasing public transportation,
promoting cycling infrastructure,
or implementing congestion
pricing to reduce traffic.
10. Policies or
Strategies
These are courses of action
implemented by jurisdictions or
organizations. A government
might adopt a policy of tax
incentives to promote renewable
energy as part of its
environmental strategy.

9. 11. Programs
Programs are specific sets of
objectives, responsibilities, and
tasks within an organization. An
educational institution might
establish a program to improve
literacy, which includes curriculum
development, teacher training, and
student support initiatives.
12. Tasks or
Actions
These are specific activities or
steps that need to be
accomplished to implement a
plan effectively. For a
construction project, tasks could
include site preparation,
foundation laying, and building
construction.

10. 13. Scope
The scope defines the extent or
range of what the planning
process will encompass. In a
project management context, the
scope outlines the project's
boundaries, including the people
involved, the time frame, and the
activities to be undertaken.
14. Evaluation
Criteria
Evaluation criteria consist of the
impacts, both costs and
benefits, considered in the
analysis of the planning options.
For a public infrastructure
project, the evaluation criteria
might involve assessing
economic costs, environmental
impact, and social benefits.

11. 15. Evaluation
Methodology
Goal # 1
Elaborate on your
first goal here like cost
effective analysis
Goal # 2
Elaborate on your
second goal here. For
instance benefit/cost
analysis
Goal # 3
Elaborate on your
third goal here for instance
lifecycle cost analysis

12. Our Goals
Briefly elaborate on what you
want to discuss.
Goal # 1
Elaborate on your
first goal here.
Goal # 2
Elaborate on your
second goal here.
Goal # 3
Elaborate on your
third goal here.
Back to Agenda

13. 10.REVISE PLAN AS
APPROPRIATE
2. INVITE
STAKEHOLDER
3. CREATE A
VISION
BROAD PLANNING PROCESS
A generic planning process suitable for
most decision-making can be adjusted to
reflect a particular situation’s needs.
4. DEVELOP A LIST OF
POSSIBLE OPTIONS
5. EVALUATE AND
PRIORITIZE OPTIONS
5. EVALUATE AND
PRIORITIZE OPTIONS
6. CREATE A LONG-TERM
STRATEGIC PLAN
7. GATHER BASELINE
DATA
8. IMPLEMENT POLICIES
9. EVALUATE PROGRAM
10.REVISE PLAN AS
APPROPRIATE

15. Data Gathering Activities
Data gathering activities for educational
planning are essential for making
informed decisions, improving the quality
of education, and ensuring that resources
are allocated effectively. These activities
involve collecting, analyzing, and
interpreting various types of data to
understand the current state of education
and make informed decisions about future
initiatives. Here's an overview of data
gathering activities for educational
planning:

16. 3. Teacher and Staff
Information
Collect data on teacher qualifications,
experience, and professional
development. Assess teacher-student
ratios and distribution of qualified
teachers. This information helps in
addressing teacher shortages and
improving teacher quality.
4. Curriculum and
Instruction Data
Review curriculum materials and
instructional methods. Analyze
curriculum alignment with learning
standards and goals. Evaluate the
effectiveness of instructional
practices and identify areas for
improvement.

17. 3. Teacher and Staff
Information
Collect data on student enrollment by
age, gender, and grade level. Gather
demographic information, such as
ethnicity, language proficiency, and
socioeconomic status. Analyze trends
in enrollment and demographic
changes to identify areas of need or
growth.
4. Curriculum and
Instruction Data
Review curriculum materials and
instructional methods. Analyze
curriculum alignment with learning
standards and goals. Evaluate the
effectiveness of instructional
practices and identify areas for
improvement.

18. 5. Resource
Allocation Data
Gather data on the allocation of
educational resources, including
funding, facilities, and technology.
Examine how resources are distributed
among schools and programs. Ensure
equitable resource allocation to
support all students and schools.
6. Parent & Community
Engagement
Collect data on the level of parent
and community involvement in
education. Use surveys, feedback,
and participation rates to assess
engagement. Encourage increased
engagement to create a supportive
educational environment.

19. 7. Dropout and
Retention Rates
Track data on dropout rates and
student retention. Identify factors
contributing to dropout and implement
strategies to reduce them. Analyze
data to improve graduation rates and
student persistence.
8. Special Education
and Inclusion Data
Gather data on students with
disabilities and their educational
needs. Ensure that these students
receive appropriate support and
accommodations. Monitor progress
and outcomes for special education
students.

20. 11. Community Needs
and Trends
Analyze data on the broader
community's needs and trends.
Consider how these factors may impact
educational planning and community
partnerships.
12. Feedback and
Stakeholder Input
Gather feedback from students,
parents, teachers, and other
stakeholders through surveys and
meetings. Use this input to inform
educational priorities and planning.

21. 7. Dropout and
Retention Rates
Track data on dropout rates and
student retention. Identify factors
contributing to dropout and implement
strategies to reduce them. Analyze
data to improve graduation rates and
student persistence.
8. Special Education
and Inclusion Data
Gather data on students with
disabilities and their educational
needs. Ensure that these students
receive appropriate support and
accommodations. Monitor progress
and outcomes for special education
students.

22. Data Processing Activities
Data processing plays a crucial role in
educational planning, helping educational
institutions and policymakers make
informed decisions to improve the quality
of education. Here are some major
activities of data processing related to
educational planning:

23. 1.Data Collection
Gathering relevant data is the first step
in educational planning. Data can be
collected from various sources,
including student records, surveys,
assessments, and administrative
records. This data may include
information on student demographics,
academic performance, attendance,
and more.
2. Data Cleaning
and Validation
Raw data often needs to be cleaned
and validated to ensure its accuracy
and reliability. This involves
identifying and correcting errors,
inconsistencies, and missing values
in the data.

24. 3.Data Analysis
Data analysts use various statistical
and analytical techniques to extract
meaningful insights from the collected
data. They can identify trends, patterns,
and correlations that inform
educational planning decisions.
4. Performance
Assessment
Data processing helps in evaluating
the performance of educational
programs, teachers, and students.
This can involve the analysis of test
scores, graduation rates, and other
performance indicators to assess the
effectiveness of educational
initiatives.

25. 5. Predictive Modeling
Data processing can be used to build
predictive models that forecast future
trends in education. For example, it can
predict future enrollment numbers,
teacher requirements, or student
achievement based on historical data.
6. Resource
Allocation
Educational institutions use data
processing to allocate resources
efficiently. This includes determining
budget allocations, staffing levels,
and infrastructure investments
based on data-driven insights.

26. 7. Identifying At-Risk
Students
Educational data can be processed to
identify students who are at risk of
falling behind or dropping out. Early
intervention strategies can then be
developed to support these students.
8. Curriculum
Development
Data processing can inform
curriculum development by
identifying areas where students
may be struggling or excelling. This
can help educators tailor curriculum
materials to better meet the needs of
their students.

27. 11. Evaluation of
Interventions
After implementing new educational
programs or initiatives, data processing
helps assess their impact and
effectiveness. This information can
guide decisions to continue, modify, or
discontinue these interventions.
12. Stakeholder
Engagement
Educational planning often involves
engaging various stakeholders,
including parents, teachers, and
community members. Data
processing can provide valuable
information to facilitate discussions
and collaborations.

28. 7. Identifying At-Risk
Students
Educational data can be processed to
identify students who are at risk of
falling behind or dropping out. Early
intervention strategies can then be
developed to support these students.
8. Curriculum
Development
Data processing can inform
curriculum development by
identifying areas where students
may be struggling or excelling. This
can help educators tailor curriculum
materials to better meet the needs of
their students.

29. Thank You!