Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2011

Lindstaedt Stefanie , Stern Hermann, Beham Günter, Prettenhofer P., Scheir Peter

Applying Language Technologies to Support Work-Integrated Learning

SDV. Sprache und Datenverarbeitung: International Journal for Language Data Processing, Current Trends in Technology Enhanced Learning, Schmitz, H.-C., Wolpers, M., Universitätsverlag Rhein-Ruhr, 2011

Journal
2011

Lindstaedt Stefanie , Kump Barbara, Rath Andreas S.

Context-Aware Recommendation for Work-Integrated Learning

Context and Semantics for Knowledge Management. Technologies for Personal Productivity, Warren, P., Davies, J., Simperl, E., Springer, 2011

Journal
Within this chapter we first outline the important role learning plays within knowledge work and its impact on productivity. As a theoretical background we introduce the paradigm of Work-Integrated Learning (WIL) which conceptualizes informal learning at the workplace and takes place tightly intertwined with the execution of work tasks. Based on a variety of in-depth knowledge work studies we identify key requirements for the design of work-integrated learning support. Our focus is on providing learning support during the execution of work tasks (instead of beforehand), within the work environment of the user (instead of within a separate learning system), and by repurposing content for learning which was not originally intended for learning (instead of relying on the expensive manual creation of learning material). In order to satisfy these requirements we developed a number of context-aware knowledge services. These services integrate semantic technologies with statistical approaches which perform well in the face of uncertainty. These hybrid knowledge services include the automatic detection of a user’s work task, the ‘inference’ of the user’s competencies based on her past activities, context-aware recommendation of content and colleagues, learning opportunities, etc. A summary of a 3 month in-depth summative workplace evaluation at three testbed sites concludes the chapter.
2011

Drachsler Hendrik, Verbert Katrien, Sicilia Miguel-Angel, Wolpers Martin, Manouselis Nikos, Vuorikari Riina, Lindstaedt Stefanie , Fischer Frank

dataTEL-Datasets for technology enhanced learning-White paper

Stellar Open Archive, 2011

The dataTEL white paper develop during the dataTEL workshop at the ARV2011. The workshop was motivated by the issue that very less educational datasets are publicly available in TEL, so that the outcomes of different TEL adaptive applications and recommender systems that support personalised learning are hardly comparable. In other domains like in e-commerce it is a common practise to use different datasets as benchmarks to evaluate recommender systems algorithms to make the results comparable (MovieLens, Book-Crossing, EachMovie dataset). So far, no universally valid knowledge exists in TEL on algorithm that can be successfully applied in a certain learning setting to personalise learning. Having a collection of datasets could be a first major step towards a theory of personalisation with in TEL that can be based on empirical experiments with verifiable and valid results.
2011

Noaa Barak, Burgos Daniel, Specht Marcus, De Vries Fred, Camilleri Anthony, Lindstaedt Stefanie , Persico Donatella

D5. 2-Stakeholder engagement plan, report on Guidelines and Monitoring tools-metrics

2011

This document describes the Guidelines, strategy, tools and methods for establishing the STELLAR stakeholders’ network and engaging with the TEL stakeholders. The overall aim of WP5 is to build a TEL community level capacity, with five main objectives: The STELLAR consortium aims to unify the leading institutions and projects in European Technology-Enhanced Learning (TEL) in a Network of Excellence (NoE). As part of this, it aims to reduce community fragmentation by bringing together the key stakeholders in European TEL and stimulate ongoing knowledge exchange between them. This is the work of WP5.
2011

Windrum Caroline, Joubert Marie, Barak Noaa, Specht Marcus, De Vries Fred, Persico Donatella, Camilleri Anthony, Lindstaedt Stefanie , Kraker Peter, Herder Eelco, Wild Fridolin, Duval Erik

D5. 3.1-Report on community building with Stakeholders

2011

This report provides the first of three annual reports on the progress of Work Package 5. It describes what has been achieved in the first year of activity related to the 5 tasks outlined in the Description of Work.Task 1 Stakeholder Analysis and Initiation of Activities. Establishment of Stakeholder Panel, monitoring tools, and metrics.Task 3 Stakeholder Needs Analysis.Elaboration and Showcasing: Two way communications with the rest of STELLAR WPs.Implementation of Synergetic Activities: Involvement in conferences/ workshops.
2011

Lindstaedt Stefanie , Kraker Peter, Wild Fridolin, Ullmann Thomas, Duval Erik, Parra Gonzalo

First experiences with a Science 2.0 infrastructure

2011

This deliverable reports on first usage experiences and evaluations of the STELLAR Science 2.0 Infrastructure. Usage experiences were available predominantly for the "mature" part of the infrastructure provided by standard Web 2.0 tools adapted to STELLAR needs. Evaluations are provided for newly developed tools. We first provide an overview of the whole STELLAR Science 2.0 Infrastructure and the relationships between the building blocks. While the individual building blocks already benefit researchers, the integration between them is the key for a positive usage experience. The publication meta data ecosystem for example provides researchers with an easy to retrieve set of TEL related data. Tools like the ScienceTable, Muse, the STELLAR latest publication widget, and the STELLAR BuRST search show already several scenarios of how to make use of this infrastructure. Especially a strong focus on anlytical tools based on publication and social media data seem useful. In order to highlight the relevance of the infrastructure to the individual capacitiy building activties within STELLAR, the usage experiences of individual building blocks are then reported with respect to Researcher Capacity (e.g. Deliverable Wikis, More! application), Doctoral Academy Capacity (e.g. DoCoP), Community Level Capacity (e.g TELeurope), and Leadership Capacity (e.g. Meeting of Minds, Podcast Series). Here we draw from 11 scientific papers published. The reader will find an overview of all these papers in the Appendix. Based on the usage experiences and evaluations we have identified a number of ideas which might be worth considering for future developments. For example, the experiences gained with the Deliverable Wikis show how the modification of the standard Wiki history can provide useful analytical insights into the collaboration of living deliverables and can return the focus on authorship (which is intentionally masked in Wikis, because of their strong notion on the product and not on authors). We conclude with main findings and an outlook on the development plan and evaluation plan which are currently being developed and which will influence D6.6. Particularly, we close with the notion of a Personal Research Environment (PRE) which draws from the concept of Personal Learning Environments (PLE).
2011

Drachsler Hendrik, Verbert Katrien, Sicilia Miguel-Angel, Wolpers Martin, Manouselis Nikos, Vuorikari Riina, Lindstaedt Stefanie

Datasets for Technology Enhanced Learning

Alpine Rendez-Vous 2011, 2011

The workshop was motivated by the issue that very less educational datasets are publicly available in TEL, so that the outcomes of different TEL adaptive applications and recommender systems that support personalised learning are hardly comparable. In other domains like in e-commerce it is a common practise to use different datasets as benchmarks to evaluate recommender systems algorithms to make the results comparable (MovieLens, Book-Crossing, EachMovie dataset). So far, no universally valid knowledge exists in TEL on algorithm that can be successfully applied in a certain learning setting to personalise learning. Having a collection of datasets could be a first major step towards a theory of personalisation within TEL that can be based on empirical experiments with verifiable and valid results. Therefore, the main objective of the dataTEL workshop was to explore suitable datasets for TEL with a specific focus on recommender and adaptive information systems that can take advantage of these datasets. In this context, new challenges emerge like unclear legal protection rights and privacy issues, suitable policies and formats to share data, required preprocessing procedures and rules to create sharable datasets, common evaluation criteria for recommender systems in TEL and how a dataset driven future in TEL could look like.
2011

Lindstaedt Stefanie

Where Science Becomes Innovation

Public Service Review: European Science and Technology, Public Service, 2011

Konferenz
2011

Pammer-Schindler Viktoria, Knipfer Kristin, Krogstie Birgit, Wessel Daniel, Prilla Michael, Lindstaedt Stefanie

Reflective Learning at Work - A Position and Discussion Paper

Proceedings of the 1st European Workshop on Awareness and Reflection in Learning Networks (ARNETS'11), Reinhardt, W., Ullmann, T., Scott, P., Pammer, V., Conlan, O., Berlanga, A., CEUR Workshop Proceedings, 2011

The relevance of reflection for learning has long been recognised,and there is a substantial body of theoretical work on reflection.However, many questions regarding reflection at the workplace are stillopen, especially regarding the actual occurrence of reflection in differentworkplaces, and the efficient support for reflection.In our ongoing work to examine the relevance of reflective learning atwork in various organisations and to design technological support, wehave collected and discussed existing literature on reflective learning.Within this paper, we discuss relevant and open issues in four majortopical areas that are relevant to the above research goal, namely (i) thereflection process , (ii) the various scopes of reflection such as individualand organisational learning, (iii) the context or setting in which reflectionmight take place and (iv) how we can facilitate and scaffold reflectionby means of technology. We aim to provide a basis for discussion and toillustrate that research on reflection, especially in the context of work, isfar from finished.
2011

Stern Hermann, Pammer-Schindler Viktoria, Lindstaedt Stefanie

A Preliminary Study on Interruptibility Detection based on Location and Calendar Information

Third Workshop on Context-Systems Design, Evaluation and Optimisation (CoSDEO) 2011, December 6th - 8th, Copenhagen, Denmark, 2011., 2011

Journal
Modern communication technology-such as mobile phonesincreases our level of availability, but also raises the risk of being inappropriately interrupted. In this paper, we present our on-going research on automatically detecting a user’s interruptibility. This is the first step towards (i) contextualizing the modus of message notification, ie making the notification more or less attention-grabbing, and (ii) contextualizing message ranking, ie, prioritizing messages according to their relevance for the user’s current level of activity. We describe our approach of automatically detecting a user’s interruptibility based on location and calendar information. Both kinds of data are easily available in a mobile setting using smartphones. Second, we present a preliminary study that evaluates (i) whether GPS information is available sufficiently for our purpose in a real-world setting, and (ii) whether the computed interruptibility corresponds to a user’s own perception of interruptibility.
2011

Erdmann Michael, Hansch Daniel, Pammer-Schindler Viktoria, Rospocher Marco, Ghidini Chiara, Lindstaedt Stefanie , Serafini Luciano

Applications of Semantic Wikis - Bringing Complementary Models and People Together: A Semantic Wiki for Enterprise Process and Application Modelling

Context and Semantics for Knowledge Management}, Warren, P., Davies, J., Simperl, E., Springer, 2011

Journal
This chapter describes some extensions to and applications of the Semantic MediaWiki. It complements the discussion of the SMW in Chap. 3. Semantic enterprise wikis combine the strengths of traditional content management systems, databases, semantic knowledge management systems and collaborative Web 2.0 platforms. Section 12.1 presents SMW+, a product for developing semantic enterprise applications. The section describes a number of real-world applications that are realized with SMW+. These include content management, project management and semantic data integration. Section 12.2 presents MoKi, a semantic wiki for modeling enterprise processes and application domains. Example applications of MoKi include modeling tasks and topics for work-integrated learning, collaboratively building an ontology and modeling clinical protocols. The chapter illustrates the wealth of activities which semantic wikis support.
2011

Kraker Peter, Lindstaedt Stefanie

Research Practices on the Web in the Field of Technology Enhanced Learning

ACM Webscience Conference 2011, 2011

Journal
Recently, developments under the banners of Science/Research 2.0 have received a lot of attention in the scientific community. Along with Web 2.0 tools and technologies, a certain change in researcher practices can be observed. The study proposed for this paper was conducted to gain first insight into these practices among researchers in Technology Enhanced Learning (TEL). We conducted two focus groups with a total of 14 participants from the domains of knowledge management and e-learning. Only a limited amount of Science 2.0 practices were identified, mostly related to research design and publication. Potentials for support, however, exist in all steps of the TEL research process. We conclude that tools and technologies must either support existing practice to provide a benefit, or solve obvious shortcomings in existing practice.
2011

Kump Barbara, Knipfer Kristin, Pammer-Schindler Viktoria, Schmidt Andreas, Maier Ronald, Kunzmann Christine, Cress Ulrike, Lindstaedt Stefanie

The role of Reflection in Maturing Organizational Know-how

Proceedings of the 1st European Workshop on Awareness and Reflection in Learning Networks, Palermo, Italy, September 21, 2011, Reinhardt, W., Ullmann, T. D., Scott, P., Pammer, V., Conlan, O., Berlanga, A., 2011

Konferenz
The Knowledge Maturing Phase Model has been presented as a model aligning knowledge management and organizational learning. The core argument underlying the present paper is that maturing organizational knowhow requires individual and collaborative reflection at work. We present an explorative interview study that analyzes reflection at the workplace in four organizations in different European countries. Our qualitative findings suggest that reflection is not equally self-evident in different settings. A deeper analysis of the findings leads to the hypothesis that different levels of maturity of processes come along with different expectations towards the workers with regard to compliance and flexibility, and to different ways of how learning at work takes place. Furthermore, reflection in situations where the processes are in early maturing phases seems to lead to consolidation of best practice, while reflection in situations where processes are highly standardized may lead to a modification of these standard processes. Therefore, in order to support the maturing of organizational know-how by providing reflection support, one should take into account the degree of standardisation of the processes in the target group.
2011

Fessl Angela, Rivera-Pelayo Verónica, Müller Lars, Pammer-Schindler Viktoria, Lindstaedt Stefanie

Motivation and User Acceptance of Using Physiological Data to Support Individual Reflection

2nd International Workshop on Motivation and Affective Aspects in Technology Enhanced Learning (MATEL 2011), co-located with the Sixth European Conference on Technology Enhanced Learning (ECTEL 2011), 2011

While research comes up with new sensors and physiologicaldata is gaining more attention in private usage, sensors play no role inprofessional learning. In this paper we shed light on the motivation touse physiological sensors in the workplace. Three user studies have beenconducted in five companies to assess the motivation to (a) wear sensorsand (b) reflect on physiological data during work. Based on these studies,we show that workers would be willing to use physiological sensors, butthe benefit of the awareness about the own physiological state is oftennot clear or the usability of sensors is insufficient. Moreover, in stressprone professions like emergency care there are already successful copingstrategies in place. Introducing physiological sensors has to provide clearbenefits by offering solutions to act on this awareness and focus on thepracticability of the sensors.
2011

Granitzer Michael, Lindstaedt Stefanie

Knowledge Work : Knowledge Worker Productivity , Collaboration and User Support

J.UCS - Journal of Universal Computer Science, 2011

Journal
2011

Rath Andreas S., Devaurs Didier, Lindstaedt Stefanie

An Ontology-Based Approach for Detecting Knowledge Intensive Tasks

Journal of Digital Information Management, Pichappan, P., Jacobs, D. , Digital Information Research Foundation, 2011

Journal
In the context detection field, an important challenge is automatically detecting the user's task, for providing contextualized and personalized user support. Several approaches have been proposed to perform task classification, all advocating the window title as the best discriminative feature. In this paper we present a new ontology-based task detection approach, and evaluate it against previous work. We show that knowledge intensive tasks cannot be accurately classified using only the window title. We argue that our approach allows classifying such tasks better, by providing feature combinations that can adapt to the domain and the degree of freedom in task execution.
2011

Kump Barbara, Ley Tobias, Lindstaedt Stefanie

Evaluating Adaptive Work-integrated Learning Systems: From the Lab to the Field

ECTEL 2011, Palermo, Italy, 20-23 September 2011, Springer, 2011

Konferenz
Evaluation frameworks have been presented that suggest layeredevaluation of adaptive systems along two dimensions: (i) the softwaredevelopment cycle, and (ii) the component of the adaptive system that shall belooked at. We argue that a third dimension is crucial: the question whether anevaluation should take place in the lab or in the field. We present a refinedsystematization of evaluation approaches using the evaluation of the adaptiveWIL system APOSDLE as an example.
2011

Granitzer Michael, Lindstaedt Stefanie

Semantic Web: Theory and Applications

Journal of Universal Computer Science, 2011

Journal
2011

Kraker Peter, Wagner Claudia, Jeanquartier Fleur, Lindstaedt Stefanie

On the Way to a Science Intelligence: Visualizing TEL Tweets for Trend Detection

Sixth European Conference on Technology Enhanced Learning (EC-TEL 2011), Springer, 2011

Konferenz
This paper presents an adaptable system for detecting trends based on the micro-blogging service Twitter, and sets out to explore to what extent such a tool can support researchers. Twitter has high uptake in the scientific community, but there is a need for a means of extracting the most important topics from a Twitter stream. There are too many tweets to read them all, and there is no organized way of keeping up with the backlog. Following the cues of visual analytics, we use visualizations to show both the temporal evolution of topics, and the relations between different topics. The Twitter Trend Detection was evaluated in the domain of Technology Enhanced Learning (TEL). The evaluation results indicate that our prototype supports trend detection but reveals the need for refined preprocessing, and further zooming and filtering facilities.
2011

Granitzer Michael, Lindstaedt Stefanie

Web 2.0: Applications and Mechanisms J.UCS Special Issue

JUCS - Journal of Universal Computing, 2011

Journal
2011

Moskaliuk Johannes, Weber Nicolas, Stern Hermann, Kimmerle Joachim, Cress Ulrike, Lindstaedt Stefanie

Evaluation of social media collaboration using task-detection methods

ECTEL 2011, Palermo, Italy, 20-23 September 2011, Springer, 2011

Konferenz
Collaboration using social media is a good way of jointly constructing knowledge. This study aims at better understanding collaborative knowledge construction processes by applying innovative (micro-)task detection approaches. We take a closer look at the interactions of a user with a shared digital artifact by analyzing the captured interaction data. The goal is to identify domain-independent interaction patterns, which can serve as indicators for knowledge development (operationalized as accommodation). We designed an empirical study under laboratory conditions that used our method. The applied task detection approach identified accommodation with a rate of 77.63% without resorting to textual features. This result instantiates an improvement as compared to a previous study in which the text in focus was identified as the feature with best discriminative power. We discuss our hypothesis that our method is independent from the used knowledge domain.
2011

Weber Nicolas, Lindstaedt Stefanie

A User Centered Approach for Quality Assessment in Social Systems

KMIS, 2011

Journal
Analyzing the meaning of quality in information systems has a long tradition. As a result of the increasing amount of user generated content on the web, addressing quality is more relevant than ever. Since information is produced and consumed by different people in various contexts the perception of quality is always closely tied to the users’ situation. This work proposes an approach for assessing quality in social systems with respect to the users’ current needs.
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