TY - GEN A1 - Ullrich, André A1 - Vladova, Gergana A1 - Eigelshoven, Felix A1 - Renz, André T1 - Data mining of scientific research on artificial intelligence in teaching and administration in higher education institutions BT - a bibliometrics analysis and recommendation for future research T2 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe N2 - Teaching and learning as well as administrative processes are still experiencing intensive changes with the rise of artificial intelligence (AI) technologies and its diverse application opportunities in the context of higher education. Therewith, the scientific interest in the topic in general, but also specific focal points rose as well. However, there is no structured overview on AI in teaching and administration processes in higher education institutions that allows to identify major research topics and trends, and concretizing peculiarities and develops recommendations for further action. To overcome this gap, this study seeks to systematize the current scientific discourse on AI in teaching and administration in higher education institutions. This study identified an (1) imbalance in research on AI in educational and administrative contexts, (2) an imbalance in disciplines and lack of interdisciplinary research, (3) inequalities in cross-national research activities, as well as (4) neglected research topics and paths. In this way, a comparative analysis between AI usage in administration and teaching and learning processes, a systematization of the state of research, an identification of research gaps as well as further research path on AI in higher education institutions are contributed to research. T3 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe - 160 Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-589077 SN - 1867-5808 IS - 160 ER - TY - JOUR A1 - Ullrich, André A1 - Vladova, Gergana A1 - Eigelshoven, Felix A1 - Renz, André T1 - Data mining of scientific research on artificial intelligence in teaching and administration in higher education institutions BT - a bibliometrics analysis and recommendation for future research JF - Discover artificial intelligence N2 - Teaching and learning as well as administrative processes are still experiencing intensive changes with the rise of artificial intelligence (AI) technologies and its diverse application opportunities in the context of higher education. Therewith, the scientific interest in the topic in general, but also specific focal points rose as well. However, there is no structured overview on AI in teaching and administration processes in higher education institutions that allows to identify major research topics and trends, and concretizing peculiarities and develops recommendations for further action. To overcome this gap, this study seeks to systematize the current scientific discourse on AI in teaching and administration in higher education institutions. This study identified an (1) imbalance in research on AI in educational and administrative contexts, (2) an imbalance in disciplines and lack of interdisciplinary research, (3) inequalities in cross-national research activities, as well as (4) neglected research topics and paths. In this way, a comparative analysis between AI usage in administration and teaching and learning processes, a systematization of the state of research, an identification of research gaps as well as further research path on AI in higher education institutions are contributed to research. Y1 - 2022 U6 - https://doi.org/10.1007/s44163-022-00031-7 SN - 2731-0809 VL - 2 PB - Springer CY - Cham ER - TY - JOUR A1 - Vladova, Gergana A1 - Ullrich, André A1 - Sloane, Mona A1 - Renz, André A1 - Tsui, Eric T1 - Editorial: new teaching and learning worlds BT - potentials and limitations of digitalization for innovative and sustainable research and practice in education and training JF - Frontiers in education KW - creativity KW - design thinking KW - digital education KW - 21st century skills KW - open education KW - virtual education Y1 - 2023 U6 - https://doi.org/10.3389/feduc.2023.1175498 SN - 2504-284X VL - 8 SP - 1 EP - 3 PB - Frontiers Media CY - Lausanne ER - TY - RPRT A1 - Gagrčin, Emilija A1 - Schaetz, Nadja A1 - Rakowski, Niklas A1 - Toth, Roland A1 - Renz, André A1 - Vladova, Gergana A1 - Emmer, Martin T1 - We and AI BT - living in a datafied world : experiences & attitudes of young Europeans KW - sociology & anthropology KW - technology (applied sciences) KW - sociology of science KW - sociology of technology KW - research on science and technology KW - technology assessment KW - artificial intelligence KW - digitalization KW - educational technology KW - decision making KW - data security KW - monitoring KW - data protection KW - automation KW - Europe KW - attitude KW - young adult KW - technological change KW - new technology Y1 - 2021 U6 - https://doi.org/10.34669/wi/1 PB - Weizenbaum Institute for the Networked Society - the German Internet CY - Berlin ER - TY - JOUR A1 - Renz, André A1 - Vladova, Gergana T1 - Reinvigorating the discourse on Human-Centered artificial intelligence in educational technologies JF - Technology Innovation Management Review N2 - The increasing relevance of artificial intelligence (AI) applications in various domains has led to high expectations of benefits, ranging from precision, efficiency, and optimization to the completion of routine or time-consuming tasks. Particularly in the field of education, AI applications promise immense innovation potential. A central focus in this field is on analyzing and evaluating learner characteristics to derive learning profiles and create individualized learning environments. The development and implementation of such AI-driven approaches are related to learners' data, and thus involves several privacies, ethics, and morality challenges. In this paper, we introduce the concept of human-centered AI, and consider how an AI system can be developed in line with human values without posing risks to humanity. Because the education market is in the early stages of incorporating AI into educational tools, we believe that this is the right time to raise awareness about the use of principles that foster human-centered values and help in building responsible, ethical, and value-oriented AI. KW - Artificial intelligence KW - educational technology KW - intelligent tutoring systems KW - human-centered AI KW - design for value approach Y1 - 2021 U6 - https://doi.org/doi: 10.22215/timreview/1438 SN - 1927-0321 IS - 11 SP - 5 EP - 16 PB - Talent First Network CY - Ottawa ER -