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On the Effectiveness of an AI-Driven Educational Resource Recommendation System for Higher Education
Schrumpf, Johannes – International Association for Development of the Information Society, 2022
Digital resources offer a vast assortment of educational opportunities for students in higher education. From 2018 to 2022, a digital study assistant (DSA), named SIDDATA, was developed at three German universities and consequently field-tested. One of the DSA's features is an AI-driven natural language interface for educational resource…
Descriptors: Higher Education, Artificial Intelligence, Educational Technology, Educational Resources
Zexuan Pan; Maria Cutumisu – AERA Online Paper Repository, 2023
Computational thinking (CT) is a fundamental ability for learners in today's society. Although CT assessments and interventions have been studied widely, little is known about CT predictions. This study predicted students' CT achievement in the ICILS 2018 using five machine learning models. These models were trained on the data from five European…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Prediction
Schurz, Katharina; Schrumpf, Johannes; Weber, Felix; Lübcke, Maren; Seyfeli, Funda; Wannemacher, Klaus – International Association for Development of the Information Society, 2021
Digital Study Assistants (DSA) aim to support individual learning processes by designing them appropriately and efficiently based on recommendations. In this paper we present a prototype of a DSA for students in higher education of three German universities. The digital data driven DSA is integrated into the local learning management system and…
Descriptors: Higher Education, Foreign Countries, Artificial Intelligence, Independent Study
Weber, Felix – International Association for Development of the Information Society, 2022
Digital Study Assistants (DSA) are an emerging type of software that combines web-based software architectures, various data sources, and algorithms from artificial intelligence (AI) to assist learners in improving their learning-related behaviors. In this paper, we summarize the implementation and results of a field study with a DSA for…
Descriptors: Goal Orientation, Computer Software, Artificial Intelligence, Universities
Seltrecht, Astrid; Josupeit, Franziska – Commission for International Adult Education, 2021
In the age of the industrial revolution 4.0 the question arises as to how far digitization, which is taking place in all areas of life and work, can help meet the challenges of caring for patients or relieve the burden on nursing staff. In the health sector, including professional care, digitization is taking place at a rapid pace. In hospitals,…
Descriptors: Foreign Countries, Nursing, Nursing Education, Information Technology