Course Content
UNIT 1: Foundations of Innovation & AI
Through the UCC ICT Clubs Innovation & AI Program, you will learn how to design and code your own mobile or web application to solve real problems in your community. ICT Club members of St. John SSS Nandere, Luwero excited about the launch of ICT Club by UCC ICT Club members of St. John SSS Nandere, Luwero excited about the launch of ICT Club by UCC This program prepares you to develop solutions that can compete at the National Council for Communications (NCC) Annual Competitions. You are not just learning to code. You are learning to become an innovator. πŸ’» What is Code? Code is a special set of instructions that people write to tell a computer what to do. Computers are very powerful machines, but they cannot think on their own. They only do exactly what they are told to do. Code is the way we give those instructions. Think of code like giving directions to someone. If you tell a friend, β€œWalk straight, turn left, then stop,” they will follow your instructions step by step. In the same way, when a programmer writes code, the computer follows those instructions step by step. Every mobile app you use works because someone wrote code. Every website you visit works because someone wrote code. Even games, ATMs, school systems, online shopping platforms, and social media apps work because of code. Coding (also called programming) simply means writing those instructions in a language that the computer understands. There are different programming languages, just like there are different human languages. For example, people speak English, Luganda, Swahili, and many others. Computers also have languages such as Python, JavaScript, Scratch, and block-based programming tools like App Inventor. Code is everywhere around you. When you send a message on WhatsApp, code is working. When you watch videos on YouTube, code is working. When your school uses a digital report system, code is working. When mobile money calculates your balance, code is working. You use technology built with code many times every day β€” even if you do not see the code itself. In this course, you will move from being just a user of technology to becoming a creator of technology. You will learn how to write code that solves real problems in your community. πŸ“± Examples of Things Made with Code Messaging apps like WhatsApp Mobile apps Games like The Sims Online games Animations and videos Banking systems School management systems E-learning platforms πŸ—£ Stop and Discuss What are some things you enjoy that were created using code? Think about: Social media Music apps School portals Online shopping Transport apps Discuss with your team. 🌍 Using Code to Help People Coding is not only for entertainment. You can use code to solve real-world problems. Here are some examples: πŸ₯ Healthcare Code helps doctors: Analyze medical scans Store patient records Detect diseases early Track outbreaks β™Ώ Assistive Devices Technology helps people with disabilities: Text-to-speech systems Smart hearing devices Mobility tools πŸ€– Robots Robots are programmed using code to: Assist in hospitals Help in factories Perform dangerous tasks Technology can change lives. And you can build that technology. πŸ€– What is Artificial Intelligence (AI)? Another important topic in this program is Artificial Intelligence (AI). Artificial Intelligence is the ability of machines or computer systems to perform tasks that normally require human intelligence. These tasks include: Recognizing faces Understanding speech Making recommendations Detecting patterns Predicting outcomes The human brain is very complex. For many years, scientists worked hard to make computers β€œthink” in intelligent ways. Over the past 50 years, great progress has been made in AI. Today, AI is part of everyday life. 🌐 Examples of AI in Daily Life Self-driving vehicles YouTube video recommendations Face recognition systems Spam email detection Voice assistants Smart farming systems Fraud detection in banks πŸ—£ Stop and Discuss Can you think of other examples of AI in your daily life? Consider: Google search results TikTok suggestions Weather prediction apps Mobile money fraud alerts Online exam systems Discuss as a team. 🎯 Why Learning AI Matters As a young innovator in Uganda: You should understand how AI works. You should know how it affects your life. You should learn how to use it responsibly. You might integrate AI into your competition project. AI is not just for big companies. It is for students like you. πŸ—“ Program Timeline & Key Dates Your ICT Club Patron will share: Training timeline Submission deadlines NCC competition dates Internal school presentation dates Stay organized. Work as a team. Start early. πŸš€ LET’S GET STARTED! You are about to begin your journey as: A coder A problem solver An innovator A future tech entrepreneur
0/1
Generative AI Tools for Problem Solving
In this lesson, you will learn how to use generative AI tools responsibly to support your innovation project. Generative AI can help you brainstorm ideas, research problems, design your app, write code, create presentations, and even edit videos. However, while AI is useful, it must be used carefully and ethically. You will explore both the benefits and the risks of AI. You will learn that AI can sometimes generate incorrect information, show bias, or raise privacy concerns. Because of this, you must verify information, protect user data, avoid plagiarism, and ensure fairness in your solutions. This lesson will guide you on how to interact with AI as a responsible innovator. You will learn practical strategies for writing effective prompts, refining responses, and understanding the output generated by AI tools. Most importantly, you will create a Responsible AI Use Plan that explains how your team will use AI in a transparent and ethical way during your project. By the end of this lesson, you will understand that AI is not a replacement for your thinking. It is a support tool. You remain the creator. You remain the decision-maker. AI simply helps you build smarter, stronger, and more innovative solutions.
0/1
Identifying Community Problems
Lesson Introduction Before you build an app… Before you design a solution… Before you write a single line of code… You must first find the right problem. The strongest innovation projects always begin with a clearly understood community problem. This lesson helps you: Understand what a problem really is Identify communities you belong to Observe real needs in Uganda Categorize problems using the UN Sustainable Development Goals Brainstorm impactful ideas
0/1
Solving Problems with Technology
You have identified a real community problem. Now comes the next big question: How can technology help solve it? In this lesson, you will explore how mobile phones, web applications, and Artificial Intelligence can be used to create powerful, practical solutions. Not every problem needs technology. But when technology is used correctly, it can: Scale solutions Save time Improve access Increase accuracy Connect people Your task is to decide how technology fits into your solution.
0/1
Exploring Mobile App Builders
IN THIS LESSON YOU WILL: βœ” Learn about different app builders and programming languages βœ” Understand block-based vs text-based coding βœ” Get set up to build your first mobile app βœ” Explore simple tools suitable for ICT Clubs βœ” Learn how AI can help you build apps faster
0/1
Exploring Web App Builders
IN THIS LESSON YOU WILL: βœ” Understand what a web app is βœ” Differentiate between mobile apps, web apps, and progressive web apps βœ” Learn beginner-friendly web app development options βœ” Install and set up a simple web development environment βœ” Understand how AI can be integrated into web apps
0/1
ALGORITHMS
IN THIS LESSON YOU WILL: βœ” Understand what an algorithm is βœ” See real-life examples of algorithms βœ” Practice writing precise instructions βœ” Connect algorithms to coding and AI βœ” Prepare for app development logic
0/1
UNIT 2: Research & AI Foundations
Unit 2 moves students from identifying problems to validating them through research and technology exploration. In this unit, learners begin to think like innovators and researchers. They go beyond observation and start gathering real evidence from their communities. Students learn how to conduct structured research, interview stakeholders, analyze needs, and verify that a problem is real, significant, and worth solving. The unit emphasizes that strong innovation is built on verified data, not assumptions. Students explore how to: Conduct real-world research Engage and partner with community organizations Narrow down and select a meaningful, impactful problem Understand foundational Artificial Intelligence concepts Explore technical tools more deeply through App Inventor and Web App development πŸ”Ή Researching Real-World Problems Students learn structured research methods such as: Surveys Interviews Observation Field visits Data collection They analyze patterns and document evidence to support their chosen problem. This ensures their project is rooted in reality and not guesswork. πŸ”Ή Partnering with Community Organizations Students are encouraged to collaborate with: Schools Health centers NGOs Farmer groups SACCOs Youth organizations Through partnerships, students gain access to: Real challenges Expert insights User feedback Validation opportunities This step strengthens both impact and competition readiness. πŸ”Ή Selecting a Meaningful Problem After research, teams compare potential problems using criteria such as: Relevance Impact Feasibility Technological suitability Alignment with Sustainable Development Goals (SDGs) Teams then formally define a clear, specific, measurable problem statement to guide development. πŸ”Ή Introduction to Artificial Intelligence Students are introduced to: What AI is How AI works Where AI is used in everyday life When AI is appropriate in a solution They learn that AI is a toolβ€”not a requirementβ€”and must be used ethically and responsibly. πŸ”Ή App Inventor: Closer Look Students deepen their understanding of: Components Events Logic structures Data storage Basic AI extensions They begin thinking about how their researched problem can translate into a functional mobile app. πŸ”Ή Web Apps: Diving Deeper For advanced teams, students explore: Text-based coding Python and Streamlit Web app architecture AI integration in web platforms They evaluate whether a web-based solution better fits their project goals. πŸ”Ή End of Unit Outcome By the end of Unit 2, each team should have: βœ” A validated, researched problem βœ” Evidence from the community βœ” A selected technology pathway (Mobile or Web) βœ” Basic understanding of AI relevance βœ” Clear direction toward solution design
0/1
Partnering with Community Organizations
0/1
Selecting a Meaningful Problem
0/1
Introduction to Artificial Intelligence
0/1
App Inventor: Closer Look
0/1
Web Apps: Diving Deeper
https://audio.com/moseswa4/audio/turn-python-scripts-into-streamlit-web-apps1
0/1
UNIT 3: Designing Smart Solutions
Identifying Innovative Solutions Responsible Research and Innovation Market Research Basics App Inventor: Coding Conditionals Finding Patterns with AI
0/1
Building apps that help people and do not harm them.
As ICT Club innovators, you are learning to build powerful mobile apps and web apps that can solve real community problems. But creating technology is not only about making it work. It is also about making sure your technology: Helps people Does not harm people Respects privacy Works fairly for everyone This is called Responsible Research and Innovation (RRI).
0/2
Market Research
Know your users Improve your idea Build correct features Build successful products
0/2
ICT Clubs Startup Development Course

IN THIS LESSON YOU WILL:

βœ” Analyze shortlisted problems more deeply
βœ” Measure the scale and impact of each problem
βœ” Research evidence to validate the problem
βœ” Identify existing solutions and innovation gaps
βœ” Narrow down to one meaningful, impactful problem

πŸ”Ή INTRODUCTION: FROM IDEAS TO EVIDENCE

Last week, your team brainstormed and categorized problems using the UN Sustainable Development Goals (SDGs).

Now comes a more serious step.

You must test your ideas.

Many students choose problems because they β€œsound important.”

But innovation requires evidence.

This week, you will research 2–3 of your strongest ideas and measure:

  • Scale

  • Impact

  • Feasibility

  • Innovation opportunity

πŸ”Ή WHAT IS SCALE?

Scale means:

How big is the problem?

Questions to ask:

  • How many people are affected?

  • Is it local, regional, national, or global?

  • Is it increasing or decreasing?

Uganda Example 1: Exam Stress

Scale:
Affects thousands of students annually.

Impact:
Impacts performance, mental health.

But:
Are there already many apps solving this?

Uganda Example 2: Post-Harvest Crop Loss

Scale:
Affects millions of farmers nationally.

Impact:
Financial losses, food insecurity.

Opportunity:
Can technology improve storage alerts or market timing?

πŸ”Ή CONSIDER IMPACT

To measure impact, ask:

1️⃣ Is it a serious problem?
2️⃣ Does it affect many people?
3️⃣ Is it discussed in news or policy?
4️⃣ Are organizations working on it?
5️⃣ Is there room for innovation?

Uganda Research Scenarios

Problem A: Youth Unemployment

Research Sources:

  • UBOS statistics

  • Ministry of Gender reports

  • Local newspapers

Questions:

  • How many youth are unemployed?

  • What skills gap exists?

  • Are job matching platforms effective?

Problem B: Poor Waste Management in Urban Slums

Research:

  • KCCA reports

  • Local council leaders

  • Community interviews

Questions:

  • How often is garbage collected?

  • What are health consequences?

  • Is there a reporting system?

πŸ”Ή ROOM FOR INNOVATION

Important Question:

Are others already solving this problem?

If yes:

  • Can you improve it?

  • Can you localize it?

  • Can you simplify it?

  • Can you make it affordable?

Example:Β If many farming apps exist, but none work offline β†’ Innovation opportunity.

πŸ”Ή PARTNERING OPPORTUNITY

If NGOs or organizations are working on this issue:

  • Can you collaborate?

  • Can you pilot your solution?

  • Can you gather user data from them?

Example:

Partner with:

  • Health Center IV

  • Farmer Cooperative

  • SACCO

  • Youth Development NGO

Partnership increases:

βœ” Real-world validation
βœ” Impact credibility
βœ” Competition strength

πŸ”Ή ACTIVITY: RESEARCHING 2–3 PROBLEMS

(Estimated Time: 20–40 Minutes)

For each problem, fill out the following:


πŸ“ PROBLEM RESEARCH WORKSHEET

Problem Title:


1️⃣ Description of Problem:


2️⃣ Who is affected?


3️⃣ Estimated number of people affected:


4️⃣ Evidence collected (sources, interviews, articles):


5️⃣ Existing solutions:


6️⃣ Gaps or weaknesses in current solutions:


7️⃣ SDG Alignment:


8️⃣ Potential for partnership:



Repeat for second and third problems.


πŸ”Ή COMPARING YOUR OPTIONS

After completing worksheets, compare:

Criteria Problem A Problem B Problem C
Scale Β  Β  Β 
Impact Β  Β  Β 
Innovation Gap Β  Β  Β 
Feasibility Β  Β  Β 
Team Passion Β  Β  Β 

πŸ”Ή REFLECTION QUESTIONS

  • Which problem are we leaning toward?

  • Why are we excited about it?

  • Who else is working on it?

  • Does technology meaningfully improve it?

  • Is it achievable within our timeline?


πŸ”Ή KEY TERMS

Research – Gathering information to understand a topic
Scale – The size or magnitude of a problem
Impact – The effect solving the problem would have

πŸ”Ή STRATEGIC NOTEΒ 

At NCC competition level:

Judges look for:

βœ” Evidence-based problem
βœ” Clear scale explanation
βœ” Real user validation
βœ” Understanding of existing solutions
βœ” Justification for choosing this problem

Weak teams say:
β€œWe think this is a problem.”

Strong teams say:
β€œAccording to UBOS 2024 report, 38% of youth in our district…”

Evidence wins competitions.

ADDITIONAL RESOURCES

If your team has decided to focus on a particular SDG, check out the SDG units on ourΒ main curriculum page.
Scroll down toΒ Alternative PathwaysΒ and you will see several units dedicated to particular SDGs. They have dedicated sections on research for those SDGs.

If you are interested in talking and learning from other young people around the world about problems of interest to you, check out the Ultimate Dialogue Adventure from Generation Global. Click on the picture to visit their website.

Hear from other Technovation Girls teams to see how they came up with a problem to solve!

This video clip(5:30 min) from an alumnae panel on ideation could be helpful.

πŸ”Ή END OF LESSON OUTCOME

By the end of this lesson, your team should have:

βœ” 2–3 deeply researched problems
βœ” Evidence of scale and impact
βœ” Knowledge of existing solutions
βœ” Clear favorite problem
βœ” Justification for final selection