Many new students have attended this year the university. They are trying to learn something about artificial intelligence and have selected one of the leading universities in Europe and the United States. The individual biographies of the students are different. Most of them are male, but some female students are motivated to learn new things about computer science as well. From the perspective of a teacher the situation is problematic, because the students in the year 2019 are different from their counterparts 40 years ago. It has to do with the knowledge the students bring with them. In the past, it was rare, that a student was a proud owner of his own computer, and the internet wasn't invented yet. Today, that is the normal case. This effects the needs of students which topic they would like to learn.
What is the demand of a modern student in relationship to an Artificial Intelligence course? Has he a special subject which he is more interested than other? Does t`he average student asks for help in mathematics or is he interested in learning AI from a historical perspective?
Response to comment
According to the comment, the question at all doesn't make much sense, because it can't be answered by a hard formula from computer science or mathematics. I've taken this concern seriously and asked an academic search engine if “teaching AI at the university” is discussed in the literature or not. I've found many examples in which the problem was addressed in the current literature:
- Kumar, Deepak, and Lisa Meeden. "A robot laboratory for teaching artificial intelligence." ACM SIGCSE Bulletin 30.1 (1998): 341-344.
In the paper, the question was not “what is AI?”, but the problem was how to teach the subject to students. In other papers, the Robocode environment was mentioned as a framework for teaching AI programming at the university. The conclusion is, that my original question is very ontopic in an AI forum and the criticism is subjective.