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See who understood the lesson with exit tickets in minutes

Choose a topic, and Madlen writes quick check cards with the criteria for a correct answer.

  • For the start or end
  • Answer criteria on every card
  • Download as PDF or Word

A real example made with Madlen

The examples below were generated in Madlen.

KS3 Computing

KS3 · Computing

Computational Abstractions and Algorithms

1Computational Abstraction in the Real World

When designing a system to automate school library book returns using sensor technology, we must simplify the real world. Explain what a computational abstraction is and identify two physical states of the book return box that you would need to model.

SAMPLE ANSWER FORMAT

Short written explanation (3-4 sentences)

SUCCESS CRITERIA

Abstraction is the process of removing unnecessary details to focus on the essential characteristics of a problem.

One physical state to model is whether the return slot is open or closed.

Another physical state is whether a book has successfully passed through the sensor.

2Comparing Search Algorithms

You have an unsorted list of 100 student names. Compare the utility of a linear search and a binary search for finding a specific name. State which algorithm you would use and explain why.

SAMPLE ANSWER FORMAT

Pros and cons comparison table or short paragraph

SUCCESS CRITERIA

A linear search checks every item from start to finish, which is slow but works on unsorted lists.

A binary search is much faster but requires the list to be sorted first.

For an unsorted list, a linear search must be used unless we sort the list first, because binary search will not work on unsorted data.

3Training Data-Driven Systems

An AI system is being trained to sort recyclable materials. Explain why this data-driven system requires a large number of labelled data samples, and state the very first step in planning this system's data needs.

SAMPLE ANSWER FORMAT

Two-part structured answer

SUCCESS CRITERIA

The first step is to decide exactly what data is needed (e.g. images of plastic bottles, aluminium cans, paper).

A data-driven system needs a large number of samples to identify patterns accurately and make better predictions.

Labelled samples are required to create classes so the model can learn to categorise new items correctly.

4Debugging Python Input Syntax

A student wants to ask the user for their name and writes the following Python code: username = input("Aisha"). Explain the misconception in this code, how the input() function actually behaves, and write the corrected line of Python code.

SAMPLE ANSWER FORMAT

Code correction and explanation

SUCCESS CRITERIA

The misconception is that putting 'Aisha' inside the brackets will input that name automatically, rather than prompting the actual user to type.

The text inside input() is the prompt shown to the user on the screen.

The corrected code should be: username = input("Please enter your name: ").

5Designing Modular Programs

We want to write a modular Python program to manage high scores in a game. Design a small Python function called add_score that takes a list of scores and a new score as inputs, adds the new score to the list, and prints the updated list.

SAMPLE ANSWER FORMAT

Short Python code snippet with comments

SUCCESS CRITERIA

Uses correct function definition syntax: def add_score(scores_list, new_score):

Modifies the list structure using append: scores_list.append(new_score)

Outputs the updated list using the print function: print(scores_list)

6Physical Computing Planning

Evaluate this statement: 'Planning a physical computing project, like an automated greenhouse controller, slows you down and is unnecessary before writing code.' Give two reasons why planning is essential.

SAMPLE ANSWER FORMAT

Short evaluative paragraph

SUCCESS CRITERIA

The statement is incorrect because physical devices do not understand physical states (like temperature) like humans do, so we must plan how inputs map to outputs.

Planning helps us design the computational abstraction first, ensuring we know which sensors and actuators are required.

Writing code without planning leads to syntax and logical errors when connecting the hardware to the software.

What you can do

A few minutes per card

Each card asks one short question about a single concept. Students answer in a few minutes at the start or end of the lesson, and you see straight away where the topic has not landed.

Answer format and criteria

Every card states the expected answer format, such as a short written explanation or a comparison table. The assessment criteria then list what a correct answer has to include, point by point.

Built around understanding

The prompts ask students to explain, compare and correct rather than recall. In our computing sample, students spot the misconception in a line of Python code and write the corrected version.

How do you make exit tickets with AI?

A set of exit tickets takes three steps in Madlen.

  1. Choose the grade, subject and topic

    Pick the grade level and the subject, then name the topic the cards should check.

  2. Madlen writes the cards

    The AI writes a short prompt on one concept for each card. Every card also states the expected answer format and the criteria a correct answer has to meet.

    • Answer format
    • Assessment criteria
  3. Download and use them in class

    Edit the cards and download them as a PDF or Word file. Hand them out at the start of a lesson to check prior knowledge or at the end to check what was learned.

    • PDF
    • Word

Frequently asked questions

What is an exit ticket?

An exit ticket is a short question students answer in the last few minutes of a lesson to show what they have understood. Teachers read the answers to see who has grasped the idea and who needs more support before the next lesson. An entry ticket does the same job at the start of a lesson.

How do I make exit tickets with AI?

In Madlen you choose the grade level, the subject and the topic. The AI writes a set of cards, each with one prompt, the expected answer format and the criteria for a correct answer. You review the cards, edit them and download them.

What are good exit ticket questions?

Good exit ticket questions focus on one idea, can be answered in a few minutes and ask students to explain or apply rather than recall. Our computing sample asks students to compare linear and binary search, explain what an abstraction is and fix a common Python mistake.

When should I use exit tickets?

Exit tickets work best in the last few minutes of a lesson, when you want to decide where to pick up next time. Entry tickets are useful at the start of a lesson to check prior knowledge or revisit the previous topic.

How do I get started with Madlen?

Teachers can create a Madlen profile and start using the core tools. Schools can start with a pilot, during which our team runs a personalized onboarding process with the school.

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