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2019-02-12  |  University goes digital: university@LEARNTEC attracts trade fair visitors
081 e-teaching at learntec 2019-01-31

From January 29 to 31, 2019, the Messe Karlsruhe was all about digital learning: At the 27th LEARNTEC - the trade fair for digital learning in schools, universities and in the corporate area - the focus was on applications, innovations and best practice examples for the use of digital media in education. With the two-day programme university@LEARNTEC this year, a separate forum was dedicated to the digitisation of university teaching for the fifth time already.
For the first time, a full-day conference was offered at the trade fair in addition to the lecture programme. Both event days were organized by e-teaching.org, the e-learning information portal of the Leibniz-Institut für Wissensmedien (IWM), in cooperation with the Hochschulnetzwerk Digitalisierung der Lehre Baden-Württemberg (HND BW) and the Virtuelle Hochschule Bayern (vhb).  "In recent years, the forum university@LEARNTEC has established itself well," Anne Thillosen, head of e-teaching.org, sums up. "Around 170 participants at the symposium, the well-attended lecture programme during the fair and a consistently positive response show just how important the topic 'university' is in connection with digital media".


To the detailed trade fair report (in German only)


2019-01-31  |   What motivates Wikipedia editors? - Seren Yenikent successfully defends dissertation
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Wikipedia is for many people the first step to close a knowledge gap. For others, it is a platform to collect their own knowledge in articles, to correct and update entries – and they do this voluntarily. But what motivates Wikipedia editors to join the platform if there is no obvious compensation for their efforts?

Seren Yenikent from IWM answers this question in her dissertation "Understanding the effects of topic factors and threat exposure on motivation to participate in knowledge artefacts: The case of Wikipedia". Previous studies have identified several encouraging factors (e.g. fun, ideology, community aspect) as reasons for Wikipedia participation. The PhD student now found that general (i.e., topic familiarity and controversiality) and specific characteristics (i.e., sentiment and psychological content) of a topic played significant roles in Wikipedia motivation. Yenikent presented her findings in the successful defence of her work last Wednesday: Using two laboratory studies and one Wikipedia text analysis study, she showed that working with known and controversial issues that had socio-political implications increases engagement with Wikipedia articles. A closer examination on psychological content showed that affective (positive and negative emotion) and drive states (achievement, reward, power, affiliation and risk) were the best predictors of article production. Yenikent's results support the human-oriented aspect of the Wikipedia platform that is distinctively fostered by editors’ psychological, social and emotional interests.



2019-01-25  |  Making meaning out of Big Data: US expert presents Quantitative Ethnography at the IWM
2019 01 23 Presentation David Shaffer

"My smartphone, for example, knows more about what I do than my wife," the renowned US professor David Williamson Shaffer opened his guest lecture at the Tübingen IWM on January 15 and introduced the audience so vividly to the subject of Quantitative Ethnography: Turning Big Data into Real Understanding. "In the age of Big Data, there is much more information available about what people do and how they do it than ever before," said the learning science expert from the University of Wisconsin-Madison, USA. "The challenge is to gain meaning from these large amounts of data, where traditional methods such as significance testing find only arbitrary patterns and are therefore not applicable," Shaffer continues. New statistical methods are therefore needed to allow researchers, for example, not only to determine whether learning tools are effective for students, but also to show why.


David Shaffer hopes to solve this problem with a new method: Quantitative ethnography which he presented in his lecture. It merges statistical and ethnographic analyses that were previously carried out separately. For this purpose, Shaffer and his colleagues are developing the Epistemic Network Analysis (ENA) tool to model how codes are linked in a data set. ENA models visualize a system of interconnected codes, enabling researchers to quantify and test the differences between them using statistical methods. The model should then, for example, identify critical components that are decisive for the success of a learning tool and point out correlations between the components.


"These models will certainly become even more relevant in the future as we try to understand learning and knowledge processes through Big Data," says Nora Umbach, scientific assistant for method consulting at the IWM. She therefore expects them to be of direct relevance for research at the IWM. "All the more reason for us to be pleased that David Shaffer and his research group will cooperate with us in the future in order to support the institute in the application of his methods," states Nora Umbach.


2019-01-22  |  Teaching in the digital classroom - research magazine attempto! reports from TueDiLab
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What happens in the TueDiLab (Tübingen Digital Teaching Lab)? The research magazine attempto! of the University of Tübingen has investigated this question. In the current issue, the magazine reports on a lesson in the high-tech classroom of the IWM.  Prof. Dr. Katharina Scheiter, head of Multiple Representations, explains how digital media and state-of-the-art technology are used to research and teach the lessons of the future.
Link to the article (PDF)



2019-01-21  |  Friedrich W. Hesse appointed as Presidium Officer of the Leibniz Association
2014-12-03 portrait hesse iwm-news

Prof. Dr. Dr. Friedrich W. Hesse has been appointed as Presidium Commissioner for the Global Learning Council (GLC) by the executive board of the Leibniz Association for an initial period of three years. The GLC is a globally active, cross-sector group of thought leaders from science, industry and non-profit organizations in the field of the effective use of technologies to enhance learning and understanding.
Friedrich Hesse is Scientific Co-Chair of the GLC and together with the President of the Leibniz Association, Matthias Kleiner, GLC board member. In addition, Mr. Hesse will continue to participate in the Leibniz Association's strategic field of digitization as a representative of the executive board for an initial period of three years. Within the scope of his participation, Mr. Hesse will, among other things, continue to chair the working group "Digitization in Transition".


2019-01-02  |  New role for Ulrike Cress at the Tübingen Research Campus (TRC)
TRC Logo

With effect to January 1, 2019, the head of the IWM, Ulrike Cress, has been elected new deputy speaker of the Tübingen Research Campus. “The TRC is a forum of exchange between the different research organisations and provides a basis for joint activities”, says Ulrike Cress on the advantages of the cooperation. The Tübingen Research Campus founded in 2016 aims at intensifying the cooperation between the local research institutions and offers joint services to the scientists who like to come to Tübingen.


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