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

1. Brief description of the participants 
   The instructor can add a few sentences about the group of participants to the query, for example: 
   "The participants are first-year students in the IT department, with basic knowledge of computer networks and programming."
2. Knowledge level 
   It should be specified whether the participants are beginners, intermediate, or advanced users. 
   Example: "The participants are beginners with a basic understanding of the topics."
3. Specific learning objectives 
   What are the key skills or knowledge that the participants should demonstrate? 
   Example: "The objective is to check the understanding of basic concepts and their application in practice."
4. Question format and style 
   If the test is to be adapted to the participants, the questions can be specified to be simpler, with more examples, or more complex and analytical.

Example of how to format a query to ChatGPT:

"Please create a comprehensive test on the history of artificial intelligence for first-year computer science students with a basic computer science background. The test should contain 10 questions: 5 multiple-choice, 3 short-answer, and 2 essay questions. Adapt the questions to a beginner's level of knowledge, with clear instructions and brief explanations of the answers."

Questions for reflection:

How can an instructor describe the group of students and their educational context in as much detail as possible so that artificial intelligence can generate a more relevant and customised test?

What information do you consider key for quality content customisation?

Have AI tools and systems made it easier to create tests and analyse knowledge assessments (summative and formative)? Why or why not?