Breakout Session: AI and Assessment - Friend or Foe?

Artificial Intelligence (AI) has significantly transformed the landscape of assessment across tertiary and all education in the last year. One of the most notable changes is the enhancement of personalised learning and its impact on assessment. AI has revolutionised the grading process. Traditional assessment can be time-consuming and subject to human error or bias. AI algorithms, however, can evaluate large volumes of assessments quickly and consistently. Tools like automated essay scoring systems utilise natural language processing to assess writing for grammar, coherence, and content relevance. AI-driven systems can also analyse vast amounts of data to identify individual learning patterns and weaknesses. This allows for the creation of customised tests that adapt to a student's proficiency level, offering questions that are neither too difficult nor too easy. Despite these advancements, the integration of AI in assessment comes with challenges, including concerns about data privacy, the potential for algorithmic bias, and the need for transparency in AI decision-making processes. Addressing these issues and maintaining academic integrity is crucial to harnessing the full potential of AI in assessment practices. As you interact with AI when developing and marking assessment one of biggest questions to consider is: Is it your friend or foe?