Ein sozialverantwortlicher Einsatz von auf Künstlicher Intelligenz (KI) basierender Learning Analytics an Hochschulen erfordert die Einbindung aller relevanten Stakeholder, insbesondere der Studierenden als direkt Betroffene des Systems. …
The integration of Artificial Intelligence (AI) into higher education, particularly through Academic Performance Prediction (APP), promises enhanced educational outcomes. However, it simultaneously raises concerns regarding data privacy, potential …
The rising adoption of learning analytics and academic performance prediction technologies in higher education highlights the urgent need for transparency and explainability. This demand, rooted in ethical concerns and fairness considerations, …
The availability of big data at universities enables the use of artificial intelligence (AI) systems in almost all areas of the higher education sector. This also applies to the prediction of academic performance of students: So-called Academic …
The availability of big data at universities enables the use of artificial intelligence (AI) systems in almost all areas of the institution: from administration to research, to learning and teaching, the use of AI systems is seen as having great …
Algorithmic decision-making (ADM) is becoming increasingly important in all areas of social life. In higher education, machine learning systems have manifold uses because they can efficiently process large amounts of student data and use these data …
„Künstliche Intelligenz“ (KI) ist das neue Trendthema im Diskurs um die digitale Transformation der Gesellschaft. Intelligente Systeme sollen künftig in allen Gesellschaftsbereichen eingesetzt werden – auch im Bildungssektor und in der Hochschule. …