In virtual education, the use of AI introduces several limitations and misconceptions related to assessment. Instructors often face limited visibility into student engagement and learning processes, especially in asynchronous environments, making it harder to verify the authenticity of student work. The strong reliance on written assignments in online courses increases assessment design challenges, while reduced real-time interaction limits opportunities to observe spontaneous reasoning and problem-solving skills. At the same time, common misconceptions persist, such as the belief that virtual learning is inherently less rigorous, that banning AI or increasing surveillance guarantees academic integrity, or that only synchronous assessments are reliable. In reality, effective assessment in virtual education depends less on technology and control, and more on thoughtful instructional design that emphasizes active learning, reflection, and process-oriented evaluation.
