@article{VladovaUllrichBender2021, author = {Vladova, Gergana and Ullrich, Andr{\´e} and Bender, Benedict}, title = {Chancen und Grenzen digitaler Lehre an Hochschulen aus Studierendenperspektive}, series = {HMD : Praxis der Wirtschaftsinformatik}, volume = {58}, journal = {HMD : Praxis der Wirtschaftsinformatik}, publisher = {Springer}, address = {Wiesbaden}, issn = {2198-2775}, doi = {https://doi.org/10.1365/s40702-021-00796-y}, pages = {1313 -- 1326}, year = {2021}, abstract = {The design of qualitative, excellent teaching requires collaboration between teachers and learners. For this purpose, face-to-face teaching benefits from a long-standing tradition, while digital teaching is comparatively still at the beginning of its dissemination. A major developmental step toward the digitization of teaching was achieved in the context of university teaching during the Covid 19 pandemic in spring 2020, when face-to-face teaching was interrupted for months. During this time, important insights into the opportunities and limitations of digital teaching were gained. This paper presents selected results of a study conducted at four German universities and with 875 responses in spring 2020. The study uncovers opportunities and limitations of digital teaching from the students' perspective and against the background of their experience in the completely digital semester. The results are used as a basis for deriving design guidelines for digital teaching and learning offerings. Based on a model for analyzing the design of teaching and learning formats, these indications are structured according to the elements learners, teachers, teaching content, environment and teaching style.}, language = {de} } @article{VladovaHeutsTeichmann2021, author = {Vladova, Gergana and Heuts, Alexander and Teichmann, Malte}, title = {Dem Mitarbeiter zu Diensten}, series = {HMD : Praxis der Wirtschaftsinformatik}, journal = {HMD : Praxis der Wirtschaftsinformatik}, number = {57}, publisher = {Springer}, address = {Wiesbaden}, issn = {1436-3011}, doi = {doi.org/10.1365/s40702-020-00626-7}, pages = {710 -- 721}, year = {2021}, abstract = {Die Weiterbildung und Qualifizierung der Mitarbeiter sind zentrale Erfolgsfaktoren des digitalen Wandels. Die zentrale Herausforderung besteht darin, diese maßgeschnitten anzubieten sowie notwendige Akzeptanz nicht vorauszusetzen, sondern ebenso als Zielgr{\"o}ße anzusehen. Dies geschieht jedoch nur, wenn die Mitarbeiter als Partner gesehen werden, deren Bed{\"u}rfnisse und Verst{\"a}ndnis nachhaltig ber{\"u}cksichtigt werden. Dieser Beitrag schl{\"a}gt vor diesem Hintergrund einen Ansatz vor, Weiterbildung als Personennahe Dienstleistung zu realisieren. Daf{\"u}r wird zuerst ein skizzenhafter {\"U}berblick {\"u}ber grundlegende Kompetenzanforderungen des digitalen Wandels gegeben. Danach wird die aktuelle Situation betrieblicher Weiterbildung in der digitalen Transformation beleuchtet. Hierzu wurde in einem Zeitraum von sechs Monaten im Rahmen einer quantitativen Untersuchung erhoben, wie Besch{\"a}ftigte die digitale Transformation ihres Unternehmens und daraus resultierende Bedarfe betrieblicher Weiterbildung wahrnehmen. Darauf basierend werden drei aktuelle Paradoxe abgeleitet, die mit einer Durchf{\"u}hrung von Weiterbildung als Personennahe Dienstleistung verhindert werden k{\"o}nnen. Empfehlungen und L{\"o}sungsans{\"a}tze werden hierzu diskutiert und weiterer Forschungsbedarf abgeleitet.}, language = {de} } @article{TeichmannVladovaGronau2023, author = {Teichmann, Malte and Vladova, Gergana and Gronau, Norbert}, title = {Conception of subject-oriented learning}, series = {SSRN eLibrary / Social Science Research Network}, journal = {SSRN eLibrary / Social Science Research Network}, publisher = {Social Science Electronic Publ.}, address = {[Erscheinungsort nicht ermittelbar]}, issn = {1556-5068}, doi = {10.2139/ssrn.4457995}, pages = {6}, year = {2023}, abstract = {Competence development must change at all didactic levels to meet the new requirements triggered by digitization. Unlike classic learning theories and the resulting popular approaches (e.g., sender-receiver model), future-oriented vocational training must include new learning theory impulses in the discussion about competence acquisition. On the one hand, these impulses are often very well elaborated on the theoretical side, but the transfer into innovative learning environments - such as learning factories - is often still missing. On the other hand, actual learning factory (design) approaches often concentrate primarily on the technical side. Subject-oriented learning theory enables the design of competence development-oriented vocational training projectsin learning factories in which persons can obtain relevant competencies for digitization. At the same time, such learning theory approaches assume a potentially infinite number of learning interests and reasons. Following this, competence development is always located in an institutional or organizational context. The paper conceptionally answers how this theoryimmanent challenge is synthesizable with the reality of organizationally competence development requirements.}, language = {en} } @article{UllrichVladovaEigelshovenetal.2022, author = {Ullrich, Andr{\´e} and Vladova, Gergana and Eigelshoven, Felix and Renz, Andr{\´e}}, title = {Data mining of scientific research on artificial intelligence in teaching and administration in higher education institutions}, series = {Discover artificial intelligence}, volume = {2}, journal = {Discover artificial intelligence}, publisher = {Springer}, address = {Cham}, issn = {2731-0809}, doi = {10.1007/s44163-022-00031-7}, pages = {18}, year = {2022}, abstract = {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.}, language = {en} } @article{GronauVladovaWeberetal.2014, author = {Gronau, Norbert and Vladova, Gergana and Weber, Nadja and Heinze, Priscilla and Weber, Edzard}, title = {KMDL® v2.2}, series = {Handbuch prozessorientiertes Wissensmanagment}, journal = {Handbuch prozessorientiertes Wissensmanagment}, publisher = {GITO}, address = {Berlin}, isbn = {978-3-95545-026-7}, pages = {133 -- 198}, year = {2014}, language = {de} } @article{GronauRegerAdelhelmetal.2009, author = {Gronau, Norbert and Reger, Guido and Adelhelm, Silvia and Bahrs, Julian and Vladova, Gergana}, title = {Planung und Steuerung von offenen Innovationsprozessen in Life Sciences KMUs : Pro und Contra des Know-how- Transfers {\"u}ber die Unternehmensgrenzen}, issn = {1434-1890}, year = {2009}, language = {de} } @article{VladovaUllrichBenderetal.2021, author = {Vladova, Gergana and Ullrich, Andr{\´e} and Bender, Benedict and Gronau, Norbert}, title = {Students' acceptance of technology-mediated teaching - How it was influenced during the COVID-19 Pandemic in 2020}, series = {Frontiers in psychology / Frontiers Research Foundation}, volume = {12}, journal = {Frontiers in psychology / Frontiers Research Foundation}, publisher = {Frontiers Research Foundation}, address = {Lausanne}, issn = {1664-1078}, doi = {10.3389/fpsyg.2021.636086}, pages = {15}, year = {2021}, abstract = {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.}, language = {en} } @article{HaaseVladovaBender2022, author = {Haase, Jennifer and Vladova, Gergana and Bender, Benedict}, title = {Dating on a different stage, but with the same habits}, series = {PsyArXiv}, journal = {PsyArXiv}, number = {245}, doi = {10.31234/osf.io/kj68b}, pages = {14}, year = {2022}, abstract = {This study aims to compare online vs. offline flirting and dating behavior using the example of the location-based real-time dating (LBRTD) app Tinder, a popular dating platform. We focus on persons' self-descriptions like self-esteem, social desirability, state social anxiety, and adjustment behavior on Tinder and the perceived data privacy of the app. Data was gathered using a survey approach with Tinder users reporting their behavior in offline and online settings. The comparison between offline and online behavior was made using Response Surface Analysis. The results suggest that the different conditions of the natural and digital worlds do not influence the individual's behavior and emotional perception. The results are analyzed and discuss gender, age, motivation to use the app, and the user's relationship status.}, language = {en} } @article{WotschackVladovadePaivaLareiroetal.2022, author = {Wotschack, Philip and Vladova, Gergana and de Paiva Lareiro, Patricia and Thim, Christof}, title = {Learning via assistance systems in industrial manufacturing}, series = {Journal of workplace learning}, volume = {35}, journal = {Journal of workplace learning}, number = {9}, publisher = {Emerald}, address = {Bradford}, issn = {1366-5626}, doi = {10.1108/JWL-09-2022-0119}, pages = {235 -- 258}, year = {2022}, abstract = {Purpose The purpose of this paper is to investigate how learning solely via an assistance system influences work performance compared with learning with a combination of an assistance system and additional training. While the training literature has widely emphasised the positive role of on-the-job training, particularly for groups that are often underrepresented in formalised learning situations, organisational studies have stressed the risks that emerge when holistic process knowledge is lacking and how this negatively affects work performance. This study aims at testing these negative effects within an experimental design. Design/methodology/approach This paper uses a laboratory experimental design to investigate how assistance-system-guided learning influences the individuals' work performance and work satisfaction compared with assistance-system-guided learning combined with theoretical learning of holistic process knowledge. Subjects were divided into two groups and assigned to two different settings. In the first setting, the participants used the assistance systems as an orientation and support tool right at the beginning and learned the production steps exclusively in this way. In the second setting, subjects received an additional 10-min introduction (treatment) at the beginning of the experiment, including detailed information regarding the entire work process. Findings This study provides evidence that learners provided with prior process knowledge achieve a better understanding of the work process leading to higher levels of productivity, quality and work satisfaction. At the same time, the authors found evidence for differences among workers' ability to process and apply this additional information. Subjects with lower productivity levels faced more difficulties processing and applying additional process information. Research limitations/implications Methodologically, this study goes beyond existing research on assistance systems by using a laboratory experimental design. Though the external validity of this method is limited by the artificial setting, it is a solid way of studying the impact of different usages of digital assistance systems in terms of training. Further research is required, however, including laboratory experiments with larger case numbers, company-level case studies and analyses of survey data, to further confirm the external validity of the findings of this study for the workplace. Practical implications This study provides some first evidence that holistic process knowledge, even in low-skill tasks, has an added value for the production process. This study contributes to firms' training policies by exploring new, digitalised ways of guided on-the-job training and demonstrates possible training benefits for people with lower levels of (initial) abilities and motivation. Social implications This study indicates the advantage for companies and societies to invest in additional skills and training and points at the limitations of assistance systems. This paper also contributes to training policies by exploring new, digitalised ways of guided on-the-job training and demonstrates possible training benefits for people with lower levels of (initial) abilities and motivation. Originality/value This study extends existing research on digital assistance systems by investigating their role in job-related-training. This paper contributes to labour sociology and organisational research by confirming the importance of holistic process knowledge as opposed to a solely task-oriented digital introduction.}, language = {en} } @article{RenzVladova2021, author = {Renz, Andr{\´e} and Vladova, Gergana}, title = {Reinvigorating the discourse on Human-Centered artificial intelligence in educational technologies}, series = {Technology Innovation Management Review}, journal = {Technology Innovation Management Review}, number = {11}, publisher = {Talent First Network}, address = {Ottawa}, issn = {1927-0321}, doi = {doi: 10.22215/timreview/1438}, pages = {5 -- 16}, year = {2021}, abstract = {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.}, language = {en} }