TY - CHAP A1 - Mishra, Vidisha A1 - Vladova, Gergana ED - Miller, Katharina ED - Wendt, Karen T1 - It’s personal BT - 4IR and the future of learning T2 - The fourth industrial revolution and its impact on ethics N2 - The new technologies of the Fourth Industrial Revolution (4IR) are disrupting traditional models of work and learning. While the impact of digitalization on education was already a point of serious deliberation, the COVID-19 pandemic has expedited ongoing transitions. With 90% of the world’s student population having been impacted by national lockdowns—online learning has gone from being a luxury to a necessity, in a context where around 3.6 billion people are offline. As the impacts of the 4IR unfold alongside the current crisis, it is not enough for future policy pathways to prioritize educational attainment in the traditional sense; it is essential to reimagine education itself as well as its delivery entirely. Future policy narratives will need to evaluate the very process of learning and identify the ways in which technology can help reduce existing disparities and enhance digital access, literacy and fluency in a scalable manner. In this context, this chapter analyses the status quo of online learning in India and Germany. Drawing on the experiences of these two economies with distinct trajectories of digitalization, the chapter explores how new technologies intersect with traditional education and local sociocultural conditions. Further, the limitations and opportunities presented by dominant ed-tech models is critically analyzed against the ongoing COVID-19 pandemic. KW - 4IR KW - digital KW - online KW - gender KW - automation KW - inequality Y1 - 2021 SN - 978-3-030-57019-4 SN - 978-3-030-57020-0 U6 - https://doi.org/10.1007/978-3-030-57020-0_12 SP - 151 EP - 158 PB - Springer CY - Cham 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 - TY - JOUR A1 - Vladova, Gergana A1 - Ullrich, André A1 - Bender, Benedict A1 - Gronau, Norbert T1 - Students’ acceptance of technology-mediated teaching – How it was influenced during the COVID-19 Pandemic in 2020 BT - A study from Germany JF - Frontiers in psychology / Frontiers Research Foundation N2 - In response to the impending spread of COVID-19, universities worldwide abruptly stopped face-to-face teaching and switched to technology-mediated teaching. As a result, the use of technology in the learning processes of students of different disciplines became essential and the only way to teach, communicate and collaborate for months. In this crisis context, we conducted a longitudinal study in four German universities, in which we collected a total of 875 responses from students of information systems and music and arts at four points in time during the spring–summer 2020 semester. Our study focused on (1) the students’ acceptance of technology-mediated learning, (2) any change in this acceptance during the semester and (3) the differences in acceptance between the two disciplines. We applied the Technology Acceptance Model and were able to validate it for the extreme situation of the COVID-19 pandemic. We extended the model with three new variables (time flexibility, learning flexibility and social isolation) that influenced the construct of perceived usefulness. Furthermore, we detected differences between the disciplines and over time. In this paper, we present and discuss our study’s results and derive short- and long-term implications for science and practice. KW - COVID-19 KW - digital learning KW - discipline differences KW - e-learning KW - TAM KW - technology acceptance KW - technology-mediated teaching KW - university teaching Y1 - 2020 U6 - https://doi.org/10.3389/fpsyg.2021.636086 SN - 1664-1078 VL - 12 PB - Frontiers Research Foundation CY - Lausanne ER - TY - GEN A1 - Vladova, Gergana A1 - Ullrich, André A1 - Bender, Benedict A1 - Gronau, Norbert T1 - Students’ Acceptance of Technology-Mediated Teaching – How It Was Influenced During the COVID-19 Pandemic in 2020: A Study From Germany T2 - Postprints der Universität Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe N2 - In response to the impending spread of COVID-19, universities worldwide abruptly stopped face-to-face teaching and switched to technology-mediated teaching. As a result, the use of technology in the learning processes of students of different disciplines became essential and the only way to teach, communicate and collaborate for months. In this crisis context, we conducted a longitudinal study in four German universities, in which we collected a total of 875 responses from students of information systems and music and arts at four points in time during the spring–summer 2020 semester. Our study focused on (1) the students’ acceptance of technology-mediated learning, (2) any change in this acceptance during the semester and (3) the differences in acceptance between the two disciplines. We applied the Technology Acceptance Model and were able to validate it for the extreme situation of the COVID-19 pandemic. We extended the model with three new variables (time flexibility, learning flexibility and social isolation) that influenced the construct of perceived usefulness. Furthermore, we detected differences between the disciplines and over time. In this paper, we present and discuss our study’s results and derive short- and long-term implications for science and practice. T3 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe - 141 KW - COVID-19 KW - digital learning KW - discipline differences KW - e-learning KW - TAM KW - technology acceptance KW - technology-mediated teaching KW - university teaching Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-521615 SN - 1867-5808 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 - CHAP A1 - Vladova, Gergana A1 - Ullrich, André A1 - Bender, Benedict A1 - Gronau, Norbert ED - Reis, Arsénio ED - Barroso, João ED - Lopes, J. Bernardino ED - Mikropoulos, Tassos ED - Fan, Chih-Wen T1 - Yes, we can (?) BT - a critical review of the COVID-19 semester T2 - Technology and innovation in learning, teaching and education : second international conference, TECH-EDU 2020, Vila Real, Portugal, December 2-4, 2020 : proceedings N2 - The COVID-19 crisis has caused an extreme situation for higher education institutions around the world, where exclusively virtual teaching and learning has become obligatory rather than an additional supporting feature. This has created opportunities to explore the potential and limitations of virtual learning formats. This paper presents four theses on virtual classroom teaching and learning that are discussed critically. We use existing theoretical insights extended by empirical evidence from a survey of more than 850 students on acceptance, expectations, and attitudes regarding the positive and negative aspects of virtual teaching. The survey responses were gathered from students at different universities during the first completely digital semester (Spring-Summer 2020) in Germany. We discuss similarities and differences between the subjects being studied and highlight the advantages and disadvantages of virtual teaching and learning. Against the background of existing theory and the gathered data, we emphasize the importance of social interaction, the combination of different learning formats, and thus context-sensitive hybrid learning as the learning form of the future. KW - COVID-19 KW - higher education KW - virtual learning KW - digital learning KW - subject differences Y1 - 2021 SN - 978-3-030-73987-4 SN - 978-3-030-73988-1 U6 - https://doi.org/10.1007/978-3-030-73988-1_17 SP - 225 EP - 235 PB - Springer CY - Cham ER -