@article{PawassarTiberius2021, author = {Pawassar, Christian Matthias and Tiberius, Victor}, title = {Virtual reality in health care}, series = {JMIR Serious Games}, volume = {9}, journal = {JMIR Serious Games}, edition = {4}, publisher = {JMIR Publications}, address = {Toronto, Kanada}, issn = {2291-9279}, doi = {10.2196/32721}, pages = {1 -- 19}, year = {2021}, abstract = {Background: Research into the application of virtual reality technology in the health care sector has rapidly increased, resulting in a large body of research that is difficult to keep up with. Objective: We will provide an overview of the annual publication numbers in this field and the most productive and influential countries, journals, and authors, as well as the most used, most co-occurring, and most recent keywords. Methods: Based on a data set of 356 publications and 20,363 citations derived from Web of Science, we conducted a bibliometric analysis using BibExcel, HistCite, and VOSviewer. Results: The strongest growth in publications occurred in 2020, accounting for 29.49\% of all publications so far. The most productive countries are the United States, the United Kingdom, and Spain; the most influential countries are the United States, Canada, and the United Kingdom. The most productive journals are the Journal of Medical Internet Research (JMIR), JMIR Serious Games, and the Games for Health Journal; the most influential journals are Patient Education and Counselling, Medical Education, and Quality of Life Research. The most productive authors are Riva, del Piccolo, and Schwebel; the most influential authors are Finset, del Piccolo, and Eide. The most frequently occurring keywords other than "virtual" and "reality" are "training," "trial," and "patients." The most relevant research themes are communication, education, and novel treatments; the most recent research trends are fitness and exergames. Conclusions: The analysis shows that the field has left its infant state and its specialization is advancing, with a clear focus on patient usability.}, language = {en} } @article{FilserTiberiusKrausetal.2020, author = {Filser, Matthias and Tiberius, Victor and Kraus, Sascha and Spitzer, Jonathan and Kailer, Norbert and Bouncken, Ricarda B.}, title = {Sharing economy}, series = {International journal of entrepreneurial venturing}, volume = {12}, journal = {International journal of entrepreneurial venturing}, number = {6}, publisher = {Inderscience Enterprises}, address = {Gen{\`e}ve}, issn = {1742-5360}, doi = {10.1504/IJEV.2020.112234}, pages = {665 -- 665}, year = {2020}, abstract = {The sharing economy has received increased attention in entrepreneurship research, resulting in a complex research landscape that is hard to overlook. Using a bibliometric analysis, we aim to further synthesise the field by: 1) summarising the most important definitions given by extant literature to capture the common understanding of the sharing economy; 2) identifying three thematic clusters based on the top 20 most cited publications; 3) conducting a citation analysis to show interdependencies between all authors; and 4) identifying the research methods used in the SE publications. Our results show: 1) many definitions with different emphases; 2) conceptualisation, collaborative consumption/ownership and the disruptive character of the sharing economy as three dominant research clusters; 3) a fairly even citation practice allowing for unbiased future research; and 4) that conceptual publications and quantitative as well as qualitative studies are fairly evenly published.}, language = {en} } @article{GamageStaubitzWhiting2021, author = {Gamage, Dilrukshi and Staubitz, Thomas and Whiting, Mark}, title = {Peer assessment in MOOCs}, series = {Distance education}, volume = {42}, journal = {Distance education}, number = {2}, publisher = {Routledge, Taylor \& Francis Group}, address = {Abingdon}, issn = {0158-7919}, doi = {10.1080/01587919.2021.1911626}, pages = {268 -- 289}, year = {2021}, abstract = {We report on a systematic review of the landscape of peer assessment in massive open online courses (MOOCs) with papers from 2014 to 2020 in 20 leading education technology publication venues across four databases containing education technology-related papers, addressing three research issues: the evolution of peer assessment in MOOCs during the period 2014 to 2020, the methods used in MOOCs to assess peers, and the challenges of and future directions in MOOC peer assessment. We provide summary statistics and a review of methods across the corpus and highlight three directions for improving the use of peer assessment in MOOCs: the need for focusing on scaling learning through peer evaluations, the need for scaling and optimizing team submissions in team peer assessments, and the need for embedding a social process for peer assessment.}, language = {en} } @article{MientusHumeWulffetal.2022, author = {Mientus, Lukas and Hume, Anne and Wulff, Peter and Meiners, Antoinette and Borowski, Andreas}, title = {Modelling STEM teachers' pedagogical content knowledge in the framework of the refined consensus model}, series = {Education Sciences : open access journal}, volume = {12}, journal = {Education Sciences : open access journal}, edition = {6}, publisher = {MDPI}, address = {Basel, Schweiz}, issn = {2227-7102}, doi = {10.3390/educsci12060385}, pages = {1 -- 25}, year = {2022}, abstract = {Science education researchers have developed a refined understanding of the structure of science teachers' pedagogical content knowledge (PCK), but how to develop applicable and situation-adequate PCK remains largely unclear. A potential problem lies in the diverse conceptualisations of the PCK used in PCK research. This study sought to systematize existing science education research on PCK through the lens of the recently proposed refined consensus model (RCM) of PCK. In this review, the studies' approaches to investigating PCK and selected findings were characterised and synthesised as an overview comparing research before and after the publication of the RCM. We found that the studies largely employed a qualitative case-study methodology that included specific PCK models and tools. However, in recent years, the studies focused increasingly on quantitative aspects. Furthermore, results of the reviewed studies can mostly be integrated into the RCM. We argue that the RCM can function as a meaningful theoretical lens for conceptualizing links between teaching practice and PCK development by proposing pedagogical reasoning as a mechanism and/or explanation for PCK development in the context of teaching practice.}, language = {en} } @article{AlerasoulTiberiusBouncken2022, author = {Alerasoul, Sayed Alireza and Tiberius, Victor and Bouncken, Ricarda B.}, title = {Entrepreneurship and innovation}, series = {Journal of small business strategy}, volume = {32}, journal = {Journal of small business strategy}, number = {2}, publisher = {Middle Tennessee State University}, address = {Murfreesboro, TN}, issn = {1081-8510}, doi = {10.53703/001c.29968}, pages = {24}, year = {2022}, abstract = {Both entrepreneurship and innovation play a key role for business growth and economic development and are conceptually highly intertwined. Both fields have received extensive attention that has resulted in a large number of publications. The aim of this work is to provide an overview on the coevolution of entrepreneurship and innovation over the last decades, with particular attention to recent research trends. To track the evolution at the intersection of both fields, we employ a bibliometric analysis, which allowed us to identify the key concepts, the backbone of research, and to provide a systematic classification of main research themes diagnosed including: 1) entrepreneurial innovation and digital transformation, 2) sustainable innovation and entrepreneurship, 3) product innovation and knowledge, 4) entrepreneurial orientation and leadership, and 5) regional entrepreneurship and innovation (innovative entrepreneurship and historical roots). The findings of this bibliometric review are reported in the form of a knowledge graph that represents the results obtained in terms of the knowledge base (key terms), knowledge domains, and knowledge evolution (themes and bursts), based on which themes for future research are suggested.}, language = {en} }