Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen


Dennerlein Sebastian, Pammer-Schindler Viktoria, Maitz Katharina, Ebner Markus, Getzinger Günter, Ebner Martin

TEL Marketplace – A Sandpit- and Co-Design-informed Innovation Process for Implementing TEL Research in Higher Education

International Conference on Human-Centered Digitalization - Workshop: Innovating Digital Education and Skills in Different Cultures, on a Global Scope and in an Interdisciplinary Context , 2019

Innovating digital education in a sustainable manner requires a human-centered approach. Perspectives of all relevant stakeholders must be respected in a responsible innovation process to address actual problems in teaching as well as learning and increase acceptance of a Technology-Enhanced-Learning (TEL) solution. In higher education, this requires an interdisciplinary iterative co-design process including researchers, teachers, students and all other university institutions and their representatives being affected by the digital teaching and/or learning innovation. We suggest an innovation process called TEL Marketplace following the idea of a sandpit or idealab. First, it offers a place for exchange in form of a f2f-marketplace, where researchers present their TEL innovations for discussion, problem-mapping and team formation with lecturers and students. Second, a two-step process takes place consisting of a competitive call for the distribution of funding among the submissions and a cooperative innovation phase for co-creation of the TEL solutions in the selected innovation-teams before implementing and evaluating them in university courses. For the cooperative innovation process, we developed a “University Innovation Canvas” that serves as a boundary object for the interdisciplinary innovation-teams and triggers reflection about important factors to be respected for a sustainable implementation. Thereby, the canvas represents a ‘living document’ evolving alongside the innovation process and allowing for targeted feedback and support. The end of the TEL Marketplace represents the beginning of the next iteration. Previously funded projects provide input for new projects and, at the same time, can apply for another round of funding with new goals. The maturity of the developed innovations then informs the decision for continuation or standardization. The TEL Marketplace, therefore, aims at leveraging existing research results and establishing a living community of practice, whilst preventing to fund “research for the sake of research” and reaching punctual impact, only.

Fessl Angela, Apaolaza Aitor, Gledson Ann, Pammer-Schindler Viktoria, Vigo Markel

"Mirror, mirror on my search..." Data-driven Reflection and Experimentation with Search Behaviour

Proceedings of the European Conference on Technology Enhanced Learning: Transforming Learning wiht MEaningful Technologies, Springer International Publishing, Delft, 2019

Searching on the web is a key activity for working and learning purposes. In this work, we aimed to motivate users to reflect on their search behaviour, and to experiment with different search functionalities. We implemented a widget that logs user interactions within a search platform, mirrors back search behaviours to users, and prompts users to reflect about it. We carried out two studies to evaluate the impact of such widget on search behaviour: in Study 1 (N = 76), participants received screenshots of the widget including reflection prompts while in Study 2 (N = 15), a maximum of 10 search tasks were conducted by participants over a period of two weeks on a search platform that contained the widget. Study 1 shows that reflection prompts induce meaningful insights about search behaviour. Study 2 suggests that, when using a novel search platform for the first time, those participants who had the widget prioritised search behaviours over time. The incorporation of the widget into the search platform after users had become familiar with it, however, was not observed to impact search behaviour. While the potential to support un-learning of routines could not be shown, the two studies suggest the widget’s usability, perceived usefulness, potential to induce reflection and potential to impact search behaviour.

Pammer-Schindler Viktoria

alt.chi Commentary to: Homewood, Sarah: Inaction as a Design Decision: Reflections on Not Designing Self-Tracking Tools for Menopaus

2019 CHI Extended Abstracts on Human Factors in Computing System, ACM, 2019

This is a commentary of mine, created in the context of an open review process, selected for publication alongside the accepted original paper in a juried process, and published alongside the paper at the given DOI,

Xie Benjamin, Harpstead Erik, DiSalvo Betsy, Slovak Petr, Kharuffa Ahmed, Lee Michael J., Pammer-Schindler Viktoria, Ogan Amy, Williams Joseph Jay

Learning, Education and HCI

Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing System, ACM, 2019


Kaiser Rene, Thalmann Stefan, Pammer-Schindler Viktoria, Fessl Angela

Collaborating in a Research and Development Project: Knowledge Protection Practices applied in a Co-opetitive Setting

10th Conference Professional Knowledge Management, Data-Driven Knowledge Management workshop, proWM’19, Potsdam, DE, 2019

Organisations participate in collaborative projects that include competitors for a number of strategic reasons, even whilst knowing that this requires them to consider both knowledge sharing and knowledge protection throughout collaboration. In this paper, we investigated which knowledge protection practices representatives of organizations employ in a collaborative research and innovation project that can be characterized as a co-opetitive setting. We conducted a series of 30 interviews and report the following seven practices in structured form: restrictive partner selection in operative project tasks, communication through a gatekeeper, to limit access to a central platform, to hide details of machine data dumps, to have data not leave a factory for analysis, a generic model enabling to hide usage parameters, and to apply legal measures. When connecting each practice to a priori literature, we find three practices focussing on collaborative data analytics tasks had not yet been covered so far.

Fessl Angela, Simic Ilija, Barthold Sabine, Pammer-Schindler Viktoria

Concept and Development of an Information Literacy Curriculum Widget

Conference on Learning Information Literacy , Deutschland, 2019

Information literacy, the access to knowledge and use of it are becoming a precondition for individuals to actively take part in social,economic, cultural and political life. Information literacy must be considered as a fundamental competency like the ability to read, write and calculate. Therefore, we are working on automatic learning guidance with respect to three modules of the information literacy curriculum developed by the EU (DigComp 2.1 Framework). In prior work, we havelaid out the essential research questions from a technical side. In this work, we follow-up by specifying the concept to micro learning, and micro learning content units. This means, that the overall intervention that we design is concretized to: The widget is initialized by assessing the learners competence with the help of a knowledge test. This is the basis for recommending suitable micro learning content, adapted to the identifi ed competence level. After the learner has read/worked through the content, the widget asks a reflective question to the learner. The goal of the reflective question is to deepen the learning. In this paper we present the concept of the widget and its integration in a search platform.

Breitfuß Gert, Fruhwirth Michael, Pammer-Schindler Viktoria, Stern Hermann, Dennerlein Sebastian

The Data-Driven Business Value Matrix - A Classification Scheme for Data-Driven Business Models

32nd Bled eConference, University of Maribor, Faculty of Organizational Sciences, HUMANIZING TECHNOLOGY FOR A SUSTAINABLE SOCIETY JUNE 16 – 19, 2019, BLED, SLOVENIA,, Andreja Pucihar, PhD, et al., University of Maribor Press, Bled, Slovenia, 2019

Increasing digitization is generating more and more data in all areas ofbusiness. Modern analytical methods open up these large amounts of data forbusiness value creation. Expected business value ranges from process optimizationsuch as reduction of maintenance work and strategic decision support to businessmodel innovation. In the development of a data-driven business model, it is usefulto conceptualise elements of data-driven business models in order to differentiateand compare between examples of a data-driven business model and to think ofopportunities for using data to innovate an existing or design a new businessmodel. The goal of this paper is to identify a conceptual tool that supports datadrivenbusiness model innovation in a similar manner: We applied three existingclassification schemes to differentiate between data-driven business models basedon 30 examples for data-driven business model innovations. Subsequently, wepresent the strength and weaknesses of every scheme to identify possible blindspots for gaining business value out of data-driven activities. Following thisdiscussion, we outline a new classification scheme. The newly developed schemecombines all positive aspects from the three analysed classification models andresolves the identified weaknesses.
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