مستقبل الامتحانات والتقويم التربوي في ظل أدوات الذكاء الاصطناعي

Abstract

Artificial intelligence is reshaping the educational landscape, particularly in the realm of examinations and educational assessment, by introducing smarter mechanisms that adapt to learners’ abilities. AI-based systems have become capable of analyzing learners' performance, giving rise to new tools and techniques such as intelligent automated grading, individual performance analysis, and personalized assessments based on learning styles. It is now possible to design adaptive tests that change according to the learner’s level, making the assessment process fairer and more effective.

However, these transformations also pose major challenges related to ethical use, ensuring academic integrity, and protecting personal data. Exams are no longer conducted at a fixed time and in a standardized format; adaptive digital testing has emerged, along with automated essay scoring and highly accurate plagiarism detection. AI has also become a tool to support teachers in creating effective assessment tools that consider individual differences.

Yet, this future is not without its challenges—especially in preserving the human aspect of the educational process and avoiding overreliance on technology at the expense of critical and creative thinking.

The future of assessment in the age of artificial intelligence is promising, but it requires wisdom in implementation and a balanced approach between machine and human input. This development does carry negative consequences, most notably the decline in academic performance due to excessive reliance on AI for completing assignments and homework, which has weakened self-thinking, writing, and problem-solving skills.