The rapid introduction of artificial intelligence into the education sector raises more and more questions about its ability to fairly and objectively assess student work. Although AI has the potential to facilitate and streamline the assessment process. In your opinion, what are the current "red flags" that should be cautious?
Thank you for your opinion.
This is a good discussion. AI can generate hallucinations. I believe we should still assess the traditional way. Otherwise, I find the mode of oral examination and demonstration useful, especially when students use AI.
Futhermore, you can use AI to generate your assessment, buts it's best to verify with your expertise and experience.
Bias in algorithms is a significant concern; AI systems can inadvertently reflect and perpetuate existing biases present in the training data, potentially disadvantaging certain groups of students.
the lack of contextual understanding can lead to misinterpretation of student responses. AI may struggle to grasp nuances, creativity, or critical thinking that are essential in evaluating complex assignments. Additionally, there is a risk of over-reliance on technology, which could undermine the role of educators and diminish personalized feedback that is crucial for student development.
Assessment of work with AI systems involves evaluating productivity gains, human-AI collaboration quality, ethical compliance, decision accuracy, user trust, and unintended consequences, often using KPIs, audits, and interdisciplinary frameworks to ensure AI enhances rather than displaces meaningful human contributions.
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