Examples of summative and formative assessment supported by artificial intelligence tools and systems

The instructor defines the topic and scope of the test, such as “history of artificial intelligence” or “basics of computer networks”.

It is essential to explain in detail the characteristics of the participants and the educational context in which the test will be used. This includes the participants’ prior knowledge, age, learning objectives, and specific needs of the group. This information helps the AI system generate more appropriate questions and tasks.

The instructor then specifies the number and types of questions, for example: “Create a test with 10 questions: 5 multiple-choice, 3 short-answer, and 2 essay questions.”

The instructor also adds answer instructions, such as: “For multiple-choice questions, provide the correct answers.”

Optionally, the instructor may request explanations or an answer key to facilitate checking.

To create a test, the instructor enters the following prompt into ChatGPT:

"Please create a complete test on the history of artificial intelligence. The test should contain 10 questions: 5 multiple-choice with suggested answers and the correct answer marked, 3 short-answer questions, and 2 essay questions. For each multiple-choice question, write a short explanation of the correct answer. Adapt the test to the needs and knowledge level of the participants, taking into account their age and prior knowledge."

As a result, the instructor receives:

• A list of all 10 questions sorted by type
• For multiple-choice questions, suggested answers with the correct answer marked
• For essay and short-answer questions, clear indications of what is required
• Short explanations for multiple-choice questions to facilitate checking.

This procedure allows the instructor to quickly and efficiently create a high-quality, complete test tailored to the needs, knowledge level, and specific educational context of the participants.