The course prototype on which I have been working is for kindergarten students and the activities are very easy and simple. Therefore, I believe that incorporating AI for very young learners is not vital. However, if in the future I make any course prototype for higher classes, I will consider incorporating AI tools to boost teaching and learning processes as well as various problems, including cheating and plagiarism.

 To automatize the administrative functions of the course, I would make use of AI programs for marking assignments, providing feedback, and managing the course schedule(Blanco et al.,2020).  The human language process algorithms (NLP) can be used to assess and estimate the quality of the student’s comprehensive appraisal and grading process, shortening the period of grading and finally introducing a personalized feedback system.

 In teaching AI consciousness to students, it is important to create programs on respectful AI usage(Greenhow et al.,2022). This would consist of training students on ethical aspects, privacy issues, and the consequences of AI in different areas. As an example, actual practice could see you using AI tools for your research or as a part of your data analysis, creative activities, etc.

AI use is a really dangerous thing, so to protect it, I would apply strategies like plagiarism detection software, test questions randomization, and exam proctoring applications(Aref et al.,2024). Also, the assignments that are assigned to students in such a way that they have to apply critical thinking, creativity, and problem-solving skills make this kind of [AI] content less likely to write themselves.

Generally, the introduction of AI in the regular operation of teaching and learning can result in more efficiency, convenience, and safety, thus helping educators better cater to the student’s skills development and also minimize risks associated with academic dishonesty.