Category: AI
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Bridging the Two-Lane approach and the AI Assessment Scale: A comprehensive framework for higher education
The emergence of generative artificial intelligence has fundamentally transformed how we approach assessment in higher education. While various frameworks have been proposed to address these challenges, two complementary approaches—the two-lane approach and the AI Assessment Scale (AIAS)—offer a potent combination when used together. This blog post examines how these frameworks can work in synergy to…
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Three use-cases of Cogniti’s educator-controlled AI agents
Cogniti, developed at the University of Sydney and piloted at several other universities, is an educator-controlled AI agent platform that is uniquely positioned to address discipline-specific AI challenges by offering tailored guidance, resources, and mentorship. This blog post explores three speculative applications of Cogniti in the humanities and social sciences, with a particular focus on…
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Designing custom AI Agents for learning: The landscape thus far..
The integration of artificial intelligence into educational settings has evolved beyond general-purpose tools to encompass sophisticated, educator-controlled AI agents designed specifically for learning enhancement. This development represents a significant shift towards pedagogically-focused AI implementation, where educators maintain control over AI interactions while leveraging the technology’s power to support student learning outcomes. The emergence of platforms…
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The landscape of AI literacy programs: cultivating creativity and innovation
The integration of Artificial Intelligence (AI) into higher education necessitates a proactive approach to developing staff competencies. For university educators, the imperative extends beyond the ad hoc utilisation of AI tools; it also encompasses a critical, ethical, and creative application in classrooms and other learning environments. The objective of lteracy programs is to unlock the…
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Reconsidering assessment in higher education: the lane approach
The deployment of generative artificial intelligence (AI) tools has fundamentally challenged traditional assessment practices in higher education. As these technologies become increasingly sophisticated and accessible, educators must reconsider how we design, implement, and evaluate assessments to maintain academic integrity while preparing students for a world where AI is ubiquitous. The “lane approach” to assessment —…
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HEDx: The future of AI in an education-driven world!
On an intensely luminous April day in Melbourne, the State Library of Victoria became a hub for discussions about artificial intelligence (AI) and its place within higher education. The HEDx forum, hosted by La Trobe University, brought together leaders from universities, industry, and policy to explore how universities can navigate the opportunities and challenges presented…