ABSTRACT – Artificial Intelligence (AI) technology has ushered in a significant transformation in thinking in the 21st century, and its applications in the realm of academia are transforming the ways we teach, learn, and evaluate learning, leading to changes across all aspects of education. This research explores the important and complicated impact of AI in academia, emphasizing its capability to augment the evaluation of student learning. In 2023, ChatGPT took the world by storm and professionals in higher education quickly took note. Professors quickly realized that students can flawlessly use ChatGPT to complete their work on learning assessments. With AI tools, students can access solutions to assessment forms including questions involving short-answers, multiple-choice, true/false problems, matching problems, mathematics questions, programming tasks, essay composing, and presentation content designs. This paper looks at online learning, both asynchronous and synchronous, and the authors pose the question of not “how to stop cheating?” but rather, “forward facing, how can academia best assess learning in an online environment given the advent of AI?” The authors suggest that to mitigate cheating with AI, we must rethink how to assess student learning, incorporating alternative assessment methods for measuring student comprehension. The goal being to ensure that students understand the subject and are developing critical-thinking and problem-solving skills.

KEYWORDS – Artificial Intelligence, ChatGPT, Global Academic Collaboration., Large Language Model, Learning Evaluation, Natural Language Processing.