Universities must evaluate AI before teaching it, experts say

Higher education institutions across India are being urged to establish comprehensive evaluation frameworks before rolling out artificial intelligence curricula. Experts emphasize that universities require assessment systems capable of measuring higher-order thinking skills and validating genuine learning outcomes.

The focus is on creating evaluation mechanisms that can generate meaningful academic insights beyond surface-level comprehension. Such systems would help institutions ensure that AI education translates into substantive student competency rather than rote knowledge absorption.

Experts argue that a robust assessment layer is essential to maintain academic standards and produce graduates equipped with critical analytical abilities. This approach would allow universities to identify knowledge gaps and refine their teaching methodologies based on concrete performance data.