Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. Project number: 2023-1-NL01-KA220-HED-000155675. Casus 6: Versterking van authentieke beoordeling in het hoger onderwijs: benutting van digitale transformatie en kunstmatige intelligentie General information Perla, L., & Vinci, V. (2023). Enhancing Authentic Assessment in Higher Education: Leveraging Digital Transformation and Artificial Intelligence. In AIxIA 2023 - 1st International Workshop on High-performance Artificial Intelligence Systems in Education (pp. 1-15). CEUR Workshop Proceedings. http://ceur-ws.org/VolXXXX/paperXXX.pdf The study focuses on implementing authentic assessment in HE through digital transformation and AI. It explores the integration of AI-based tools to improve the authenticity, personalisation, and flexibility of assessment methods, emphasising the shift towards hybrid teaching and online learning. Description of case The study explores the integration of digital transformation and AI to enhance authentic assessment in HE. The research focuses on leveraging AI to improve assessment methods, making them more aligned with real-world tasks and challenges. The authors propose that AI can be used to create more dynamic, personalised, and effective evaluation tools that better reflect students' learning progress and skills. This approach aims to move beyond traditional assessment techniques and incorporate digital technologies to support both students and educators in achieving more meaningful educational outcomes. Lessons learned The hybridisation of assessment, combining traditional and AI-based methods, improves the authenticity and personalisation of evaluations. AI tools facilitate more flexible and adaptive assessment practices, but there have been challenges in implementation, such as the fact that cultural and organisational differences between universities can impact the effectiveness of AI-based systems, and the need for trust in online assessment technologies, addressing concerns about privacy, data handling, and equitable treatment. This study has shown an impact on Learning and Teaching through AIsupported low-stakes tests, because they help in retaining information and identifying comprehension gaps, since the use of continuous assessment forms promotes active learning and student engagement. Critical Perspectives are also indicated, since the integration of AI in education must address potential risks such as biases, privacy issues, and instructional disruptions; balancing technological advancements with humanistic educational values is crucial. Implications for practice The study underscores the transformative potential of AI and digital tools in higher education assessment and highlights the importance of cautious implementation and ongoing evaluation to address challenges and critical perspectives that could emerge.
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