As a result of this workshop and roundtable discussion, ACODE recommends institutions to:
* embrace AI in learning, teaching, and assessment, but consider potential risks and challenges that come with it, such as academic integrity concerns and workload issues
* foster a culture of transparency, collaboration, and partnership between educators, students, and AI experts, to ensure that AI is used ethically and effectively
* develop evidence-based support systems and guidelines for AI use in education, and regularly update them to keep up with the latest developments and challenges
* identify and provide appropriate training and professional development opportunities for educators to build their AI competencies, confidence and fluency
* consider the potential impact of AI on equity and accessibility and ensure that AI solutions are designed to benefit all students, regardless of their background or circumstances
* collaborate with external bodies, such as accrediting bodies and regulatory agencies, to align educational responses to AI across primary, secondary, and tertiary education sectors
* continuously monitor and evaluate the impact of AI on learning, teaching, and assessment, and be open to making necessary adjustments based on the evidence
* institutions prioritise assessment redesign, by adopting more authentic forms of assessment to minimise the option for students to use AI based tools in generating assessment content
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Peter Mellow
onto Digital Learning - beyond eLearning and Blended Learning March 12, 2023 5:16 PM
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Scoop.it!
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