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2024: ACODE Whitepapers

ASCILITE is proud to publish these whitepapers for ACODE as part of our MoU. ACODE's mission is to enhance policy and practice in Australasian higher education around technology enhanced learning and teaching at institutional, national and international levels.

For more information about ACODE, visit https://www.acode.edu.au/

Published: 1 May 2024

ACODE Whitepapers

  • The ACODE Benchmarks for Technology Enhanced Learning: 2nd Edition

    The ACODE benchmarks have been developed to assist institutions in their practice of delivering a quality technology enhanced learning (TEL) experience for their students and staff (recognising that some institutions refer to their practice with terms such as e-learning, online or flexible learning, blended, etc.). There are nine benchmarks, each of which can be used as a standalone indicator or used collectively to provide a whole institution perspective. However, where these benchmarks become even more powerful is when they are used in association with other institutions, as part of a collaborative interinstitutional benchmarking exercise that ACODE facilitates every two years. This is where one or more institutions are willing to share their practices and journey in TEL with others, based on the outcomes of their own internal benchmarking activity.

  • 2024 Governance of artificial intelligence and data in Australasian higher education: A snapshot of policy and practice

    Ratna Selvaratnam, Kate Ames, Steven Leichtweis

    This whitepaper is a follow-up of the Australasian Council of Open and Digital Education (ACODE) survey in 2023 on the governance of artificial intelligence (AI) and data in Australasian higher education (Selvaratnam & Venaruzzo, 2023). The results then showed the guidelines and policies in this space were still in the early days. Ethical implications were also emerging in tandem with initiatives and the adoption of generative AI in institutions. The latest survey conducted over July and August 2024 is 24 is picking up on the recommendations of the 2023 paper to inform recommendations for practice and further assure quality and equity in higher education. To this end, the JISC AI Maturity Model for Education is used to gauge the sector’s growth in the governance of AI and data both in policy and practice. The outcomes show that the sector is mainly at the experimenting and exploring stage of maturity in engaging with AI. The challenges were mainly in operationalising AI in a comprehensive manner across the enterprise, including increasing AI literacy across staff and students. More institutions are addressing the ethical implications of AI since the last survey; however, it appears that social and emotional wellbeing, and psychological safety still have to be carefully considered.

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