Teaching & Pedagogy

If you are not yet an expert in computer science, the first step is to start learning. Whether your course focuses on programming, artificial intelligence, networking, data, cybersecurity, or another topic, make time to build your own understanding. You do not need to know everything before school starts, but you do need to be willing to learn, practice, and stay a step ahead. Work through lessons yourself, learn the key vocabulary, and become familiar with the tools and platforms students will use. A first-year CS teacher does not need to be perfect, but they do need to be prepared.

Good computer science lessons do not need to be complicated. They should follow a clear, consistent routine that fits the teacher’s style. For many teachers, a bell ringer or Do Now is a strong way to begin class. It can be used to review past material, preview new ideas, or get students thinking before the main lesson begins. A predictable structure helps students know what to expect and helps the teacher stay organized and focused.

It is also important to keep instruction centered on clear learning targets. Learning targets should be concise and should guide what the teacher models, what students practice, and how understanding is assessed. When learning targets are too broad or unclear, lessons can become too long, too unfocused, or disconnected from what students actually need to learn. Strong teaching means knowing exactly what students should know or be able to do and keeping instruction aligned to that goal.

Many strong CS lessons follow a simple routine such as I Do, We Do, You Do. The teacher introduces and models the concept, students practice with support, and then students apply the learning more independently. This approach gives students the support they need before being asked to work on their own. It also helps teachers keep direct instruction brief and purposeful. In computer science, students need time to actually work, think, test, and problem-solve, so teacher talk should stay focused and concise.

Modeling is especially important in CS. Students need to see teachers write code, think aloud, make mistakes, and work through problems. When teachers model coding live, they show students that the process is not always smooth and that mistakes are a normal part of learning. That can be incredibly powerful for students who assume they are the only ones struggling. Good curriculum should also include teacher-led examples that students can use as support before they begin independent work.

Frequent formative assessment matters too, especially in abstract or difficult units. In computer science, waiting until the end of a lesson or unit to assess can be risky. Small misunderstandings can turn into bigger problems very quickly. Not every check for understanding needs to be a multiple choice exit quiz. Teachers can use quick code traces, prediction tasks, short debug activities, partner discussion, whiteboard responses, or simply ask students to explain their thinking. Formative assessment in CS should be simple, frequent, and tied closely to the learning target.

Students also benefit from being asked to explain their thinking, not just complete a task. Teachers should build in opportunities for students to talk about what code is doing, why something works, what went wrong, or how they solved a problem. Vocabulary matters here as well. CS can introduce a lot of new terms quickly, so teachers need to be intentional about the language students need in order to access the lesson and discuss their learning clearly.

It is also worth remembering that not every strong CS lesson needs to begin on a computer. Sometimes students understand a concept better when they first see it visually, physically, or through discussion before moving into code. A strong teacher knows when students need unplugged support and when they are ready to apply the concept in a digital environment.

Finally, good CS teaching helps students see that computer science is broader than just coding. Some students may not think CS is for them, and that is okay. Part of strong pedagogy is helping students see the many topics under the CS umbrella, including AI, networking, data, problem-solving, cybersecurity, and digital systems. Technology shapes almost every part of modern life, and students benefit from understanding how technology and the world work together. Good teaching helps students see that CS is relevant, accessible, and connected to the world they already live in.

Questions to Answer

• What do I need to learn before teaching this course or unit?

• Have I worked through the lesson or activity myself first?

• What routine will I use to structure most of my lessons?

• How will I use bell ringers to review or preview content?

• What are the learning targets for the lesson, and are they concise?

• How will I keep direct instruction brief and focused?

• How will I model code, thinking, and problem-solving for students?

• What teacher-led examples will students see before working independently?

• How will I check for understanding throughout the lesson?

• What simple formative assessments can I use besides quizzes?

• How will students explain their thinking, not just complete the task?

• What vocabulary do students need in order to access the lesson?

• When should students work unplugged and when should they be on the computer?

• How will I make CS feel relevant to students who do not think it is for them?

• How will I show students that CS is bigger than just coding?