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. Machine Learning Machine learning (ML) is a part of artificial intelligence (AI) that lets machines learn from data without needing explicit programming. Its goal is to train machines using given data and algorithms so they can learn to make decisions. ML is adaptable, meaning it can change and improve as it gets more data. The "learning" in ML means its algorithms work to reduce errors and make their predictions as accurate as possible. Essentially, ML is a method for achieving AI. (Jakhar & Kaur, 2020) Personal data Information relating to an identified or identifiable natural person, either directly or indirectly, by reference to one or more elements specific to that specific person (European Commission, 2022). Personalised learning systems Personalised learning systems or adaptive learning platforms or intelligent tutoring systems, are typical and valuable applications of AI to support students and teachers. These platforms give students access to a range of learning materials based on their specific learning needs and subjects. (Akgun & Greenhow, 2021) Predictive analytics Predictive analytics refer to the use of statistical algorithms and machine learning techniques to make predictions about the future using current and historical data (European Commission, 2022). They are primarily employed to recognise and uncover patterns related to students by leveraging statistical data. For instance, these systems can be used to identify university students who may be in danger of failing or dropping out of a course. By pinpointing these individuals, educators can step in and provide the necessary support to help them succeed. (Akgun & Greenhow, 2021)
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