Abstract:

Artificial intelligence is being introduced at a dizzying speed in the different educational stages, including university level. There is the possibility of applying artificial intelligence in both learning and assessment. Thus, it is important to collect information on the perception of students and professors regarding its application. Initial results of first surveys indicate some issues. Students are more in favor of its use, especially because it makes it easier for them to carry out academic work and exercises. On the other hand, the tendency of some professors is to return to in-person exams and monitor the use of AI. With respect to future employers (companies, administration), it will be necessary and essential to train students in the use of AI. To do this, it is essential that they learn to have a critical vision of the information that AI provides them. Until now, one of the professors' roles has been to teach students in order to search for the information necessary to solve a specific problem/case. The AI, at least in this initial stage of its development, shows us with the need to validate the information provided by AI, to have a critical spirit and try to differentiate correct information from incorrect, as well as contrast bibliographic sources. The set of results, perceptions and their subsequent analysis is compared with the existing bibliography on AI [1,2]. The need to train university professors in AI is confirmed, to help them understand the potential of AI in the design of learning and assessment activities and methodologies; taking into account not only the technical aspects. If used correctly, AI can support autonomous learning, through automatic tutoring and grading. The professors have to learn to design this learning with AI platforms as Idea, Rubrik or Planeo.
Likewise, we have to be aware that the students who are currently in the university are AI users, but in the coming years they will be AI natives.

References:
[1] V. González-Catalayud, P. Prendes-Espinosa, R. Roig-Vila, “Artificial Intelligence for Student Assessment: A Systematic Review” Applied Sciences, 11, 5467, 2021.
[2] M. Hooda, C. Rana, O. Dahiya, A. Rizwan, Md. S. Hossain, “Artificial Intelligence for Assessment and Feedback to enhance student success in higher education” Mathematical Problems in Engineering, 5215722, 2022.

Keywords:

Artificial intelligence, perception.