Artificial Intelligence Has Not Changed Education Yet… But It Has Changed the Exam

AI has not replaced education, but it has exposed the weaknesses of traditional assessment. Explore how universities must rethink exams, assignments, and the role of the professor in the age of intelligent tools.

The debate today is no longer whether or not artificial intelligence is changing education; the debate is now about what this change means to the very nature of learning itself and the very concept of assignments and assessments. This is no longer just the feeling of many; this is now the reality that can be seen and felt in the educational environment with regards to the role of artificial intelligence with regards to policy, ethics, and governance.

The real concern is no longer the students’ use of artificial intelligence; the real concern is the reality that many assignments no longer measure what they are originally intended to measure. If one can generate a summary, write answers to questions, or even build the framework of a research paper within seconds, then the very nature of assignments such as paraphrasing or gathering information is no longer relevant or meaningful. As such, the very concept of assignments is now changing towards the concept of understanding, analysis, critical thinking, and decision-making as opposed to the production of a well-structured paper or document.

One of the clearest signs that this has become an institutional rather than an individual issue is that many universities have begun developing guidelines for the use of AI in teaching and assessment. This demonstrates that universities are starting to recognize that a policy of complete prohibition is no longer enough, and that what is required is a system of control, defining what is acceptable and unacceptable, and how students are expected to reveal the use of AI in assignments, research, and other forms of assessment.

However, one of the biggest mistakes made by many institutions in dealing with artificial intelligence is that it is seen as a threat to academic integrity. This is not entirely true. While it is true that there is a risk of AI being used inappropriately, by focusing on the issue of cheating, institutions are not recognizing the bigger picture. AI is forcing education to re-evaluate itself. If a machine can complete an assignment quickly, then maybe the problem is not the student, but the assignment itself. In this way, the emergence of AI is not only a problem, but it is also a mirror that is reflecting problems that have been in education for years.

In terms of higher education, the conversation is no longer simply about what happens in the classroom. Artificial intelligence has become a strategic issue, and it has become about leadership, policy, institutional readiness, and both academic and administrative work. This means that universities are no longer dealing with AI as a passing fad or as a personal experiment. It has become part of a broader conversation about the future of the institution itself.

In other words, the role of the university professor is no longer that of simply imparting knowledge, as was traditionally conceived. The professor must assume more sophisticated tasks, including creating intelligent tasks, formulating questions that cannot be answered with generic answers, and recognizing modes of thinking rather than simply answers. The professor must also be able to distinguish between understanding and merely computer-generated text. Artificial intelligence has not diminished the role of the teacher. On the contrary, it has increased the role of the teacher. The reason for this is that having quick computer answers has increased the need for a human educator.

For the student, the problem is no longer the access to the information, but the way in which the information is being used. A student who gives in completely to the artificial intelligence output may produce an acceptable text, but in the process, he or she loses the very thinking abilities that the educational process is supposed to create in the first place. On the other hand, the student who uses artificial intelligence in an intelligent way, i.e., for reviewing, brainstorming, comparison, assumption, and language, and builds his or her own understanding, may turn artificial intelligence into an instrument that helps the learning process rather than an obstacle to it. The real question, therefore, is not whether artificial intelligence should be permitted or banned, but rather how the culture of learning may be revived in such a way that the human being remains the source of understanding, judgment, and responsibility.

The conclusion that may be derived from the above analysis is that artificial intelligence has not destroyed the concept of education, but rather brought to the fore the old weaknesses of the concept in an unprecedented way, revealing that the traditional way of doing things in the educational field may be bypassed too easily, that the methods of assessment may not be suitable for the age of intelligent tools, and that the university that considers the problem of artificial intelligence as no more than an instrument for cheating may not be able to understand the real transformation that artificial intelligence brings in the field of learning and teaching. The future, therefore, does not lie in banning artificial intelligence, but in creating an educational system that is much smarter than artificial intelligence itself, i.e., that forces the student to think, to analyze, to argue, to justify, and to be responsible for what he or she writes and what he or she decides, in order for artificial intelligence to be turned into an instrument that helps the learning process rather than an obstacle to it.

Gulf UniversityAI in educationAI and assessmentFuture of examsAcademic integrity and AI

Prof. Firas Mohammed

Gulf University