Maoinithe ag an Aontas Eorpach. Mar sin féin is tuairimí agus tuairimí an údair amháin nó na n-údar amháin iad na tuairimí agus na tuairimí a nochtar agus ní gá go léiríonn siad tuairimí an Aontais Eorpaigh nó na Gníomhaireachta Eorpaí Feidhmiúcháin Oideachais agus Cultúir (EACEA). Ní fhéadfar an tAontas Eorpach ná EACEA a chur i gcuntas astu. Uimhir an tionscadail: 2023-1-NL01-KA220-HED-000155675. alone were effective in representing the semantic content of the answers, especially when the answers and correct solutions had high lexical overlap. It was useful for both formative and summative assessments. In formative assessments, students used the tool for homework and received automated feedback, which was later compared to manual feedback. In summative assessments, exams were corrected either manually or through the AI system, allowing for a comparison of performance between human and AI grading. Implications for practice Efficiency in Grading, since the AI system reduces grading time, allowing instructors to focus on other educational tasks, and ensures consistent, unbiased evaluations, enhanced, Student Feedback, since it provides immediate, detailed feedback, helping students learn and improve continuously, Scalability, since it facilitates handling large classes, making it ideal for MOOCs and large enrolment courses, and Focus on Learning, since it frees up instructor time to offer personalised support and improve teaching strategies. Cás-staidéar 6: Measúnú Fíordheimhnithe san Ardoideachas a Fheabhsú: Claochlú Digiteach agus Intleacht Shaorga a Ghiaráil 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.
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