Publikationen

Hier finden Sie von Know-Center MitarbeiterInnen verfasste wissenschaftliche Publikationen

2010

Beham Günter, Jeanquartier Fleur, Lindstaedt Stefanie

iAPOSDLE - An Approach to Mobile Work-Integrated Learning

Sustaining TEL: From Innovation to Learning and Practice, Proceedings of EC-TEL 2010, Wolpers, M., Kirschner, P. A., Scheffel, M., Lindstaedt, S. N., Dimitrova, V., Springer, 2010

Konferenz
This paper introduces iAPOSDLE, a mobile application enabling the use of work-integrated learning services without being limited by location. iAPOSDLE makes use of the APOSDLE WIL system for self-directed work-integrated learning support, and extends its range of application to mobile learning. Core features of iAPOSDLE are described and possible extensions are discussed.
2010

Lindstaedt Stefanie , Rath Andreas S., Devaurs Didier

Studying the Factors Influencing Automatic User Task Detection on the Computer Desktop

Sustaining TEL: From Innovation to Learning and Practice, Lecture Notes in Computer Science, Springer, 2010

. Supporting learning activities during work has gained momentum fororganizations since work-integrated learning (WIL) has been shown to increaseproductivity of knowledge workers. WIL aims at fostering learning at the workplace,during work, for enhancing task performance. A key challenge for enablingtask-specific, contextualized, personalized learning and work support is to automaticallydetect the user’s task. In this paper we utilize our ontology-based usertask detection approach for studying the factors influencing task detection performance.We describe three laboratory experiments we have performed in twodomains including over 40 users and more than 500 recorded task executions.The insights gained from our evaluation are: (i) the J48 decision tree and Na¨ıveBayes classifiers perform best, (ii) six features can be isolated, which providegood classification accuracy, (iii) knowledge-intensive tasks can be classified aswell as routine tasks and (iv) a classifier trained by experts on standardized taskscan be used to classify users’ personal tasks.
2010

Ullmann Thomas Daniel, Wild Fridolin, Scott Peter, Duval Erik, Parra G., Reinhardt W., Heinze N., Kraker Peter, Fessl Angela, Lindstaedt Stefanie , Nagel T., Gillet D.

A science 2.0 infrastructure for technology-enhanced learning

Computer Science Education, 2010

Journal
Science 2.0 is a rather young concept and despite its short historyalready induced numerous controversial positions, oscillating between newtechnologies and new practices. Even though many TEL researchers already useScience 2.0 tools, although not always labeled as such, there is no commonlyshared practice and tools in use. Within this paper, we investigate the conceptof Science 2.0 and propose an embracing definition. From there we investigateexisting practice with pilot studies and propose a framework for further indepthstudy and elicitation of Science 2.0 practices of technology-enhancedlearning researchers. Furthermore, we propose a mash-up architecture andconcrete infrastructure to leverage Science 2.0 practice and technologies in ourfield, including the proposal of a publication feed format, a retrieval API, andthe provision of an initial set of data sources and services. We illustrate the useof this infrastructure with several Science 2.0 application examples, therebydemonstrating the strength of this infrastructure and architecture.
2010

Duval Erik, Ullman Thomas Daniel, Wild Fridolin, Lindstaedt Stefanie , Scott Peter

Research 2.0 for TEL: four challenges

Proceedings of the 2nd International Workshop on Research 2.0. At the 5th European Conference on Technology-Enhanced Learning: Sustaining TEL, 2010

Konferenz
2010

Scheir Peter, Prettenhofer Peter, Lindstaedt Stefanie , Ghidini Chiara

An associative and adaptive network model for information retrieval in the Semantic Web

Progressive Concepts for Semantic Web Evolution: Applications and Developments, IGI Global, 2010

Buch
While it is agreed that semantic enrichment of resources would lead to better search results, at present the low coverage of resources on the web with semantic information presents a major hurdle in realizing the vision of search on the Semantic Web. To address this problem, this chapter investigates how to improve retrieval performance in settings where resources are sparsely annotated with semantic information. Techniques from soft computing are employed to find relevant material that was not originally annotated with the concepts used in a query. The authors present an associative retrieval model for the Semantic Web and evaluate if and to which extent the use of associative retrieval techniques increases retrieval performance. In addition, the authors present recent work on adapting the network structure based on relevance feedback by the user to further improve retrieval effectiveness. The evaluation of new retrieval paradigms - such as retrieval based on technology for the Semantic Web - presents an additional challenge since no off-the-shelf test corpora exist. Hence, this chapter gives a detailed description of the approach taken to evaluate the information retrieval service the authors have built.
2010

Dotan Amir, Maiden N., Lockerbie J., de Hoog Robert, Leemkuil Hendrik H., Ghidini C., Rospocher M., Lindstaedt Stefanie , Kump Barbara, Pammer-Schindler Viktoria, Faatz A., Zinnen A.

APOSDLE approach to self-directed work-integrated learning-APOSDLE Deliverable D2. 11

City University, 2010

2010

Lindstaedt Stefanie , Beham Günter, Aehnelt Mario, Hambach S., Musielak M., Kooken J.P., de Hoog Robert, Leemkuil Hendrik H.

APOSDLE approach to self-directed work-integrated learning-APOSDLE Deliverable D2. 11

Know Center, 2010

2010

Balacheff, Nicolas, Bottino, Rosa, Fischer, Frank, Hofmann, Lena, Joubert, Marie, Kieslinger, Barbara, Lindstaedt Stefanie , Manca, Stefanie, Ney, Muriel, Pozzi, Francesca, Sutherland, Rosamund, Verbert, Katrien, Timmis, Sue, Wild, Fridolin, Scott, Peter, Specht, Marcus

D1.1 The STELLAR vision and strategy statement

2010

This First TEL Grand Challenge Vision and Strategy Report aims to: • provide a unifying framework for members of STELLAR (including doctoral candidates) to develop their own research agenda • engage the STELLAR community in scientific debate and discussion with the long term aim of developing awareness of and respect for different theoretical and methodological perspectives • build knowledge related to the STELLAR grand challenges through the construction of a wiki that is iteratively co‐edited throughout the life of the STELLAR network • develop understandings of the way in which web 2.0 technologies can be used to construct knowledge within a research community (science 2.0) • develop strategies for ways in which the STELLAR instruments can feed into the ongoing development of the wiki and how the they can be used to address the challenges highlighted in this report.
2010

Pozzi, Francesca, Persico, Donatella, Fischer, Frank, Hofmann, Lena, Lindstaedt Stefanie , Cress, Ulrike, Rath Andreas S., Moskaliuk, Johannes, Weber, Nicolas, Kimmerle, Joachim, Devaurs Didier, Ney, Muriel, Gonçalves, Celso, Balacheff, Nicolas, Schwartz, Claudine, Bosson, Jean-Luc, Dillenbourg, Pierre, Jermann, Patrick, Zufferey, Guillaume, Brown, Elisabeth, Sharples, Mike, Windrum, Caroline, Specht, Marcus, Börner, Dirk, Glahn, Christian, Fiedler, Sebastian, Fisichella, Marco, Herder, Eelco, Marenzi, Ivana, Nejdl, Wolfgang, Kawese, Ricardo, Papadakis, George

D1.2 Trends in Connecting Learners. First Research & Technology Scouting Report

2010

In this first STELLAR trend report we survey the more distant future of TEL, as reflected in the roadmaps; we compare the visions with trends in TEL research and TEL practice. This generic overview is complemented by a number of small-scale studies, which focus on a specific technology, approach or pedagogical model.
2010

Wolpers Martin, Kirschner Paul A., Scheffel Maren, Lindstaedt Stefanie , Dimitrova Vania

Sustaining TEL: From Innovation to Learning and Practice

Springer Verlag, Wolpers, M., Kirschner, P. A., Scheffel, M., Lindstaedt, S. N., Dimitrova, V. , Springer, 2010

Buch
2010

Lindstaedt Stefanie , Duval E., Ullmann T.D., Wild F., Scott P.

Proceedings of the 2nd International Workshop on Research 2.0

CEUR Workshop Proceedings, CEUR-WS, 2010

Buch
Research2.0 is in essence a Web2.0 approach to how we do research. Research2.0 creates conversations between researchers, enables them to discuss their findings and connects them with others. Thus, Research2.0 can accelerate the diffusion of knowledge.ChallengesAs concluded during the workshop, at least four challenges are vital for future research.The first area is concerned with availability of data. Access to sanitized data and conventions on how to describe publication-related metadata provided from divergent sources are enablers for researchers to develop new views on their publications and their research area. Additional, social media data gain more and more attention. Reaching a widespread agreement about this for the field of technology-enhanced learning would be already a major step, but it is also important to focus on the next steps: what are success-critical added values driving uptake in the research community as a whole?The second area of challenges is seen in Research 2.0 practices. As technology-enhanced learning is a multidisciplinary field, practices developed in one area could be valuable for others. To extract the essence of successful multidisciplinary Research 2.0 practice though, multidimensional and longitudinal empirical work is needed. It is also an open question, if we should support practice by fostering the usage of existing tools or the development of new tools, which follow Research 2.0 principles. What makes a practice sustainable? What are the driving factors?The third challenge deals with impact. What are criteria of impact for research results (and other research artefacts) published on the Web? How can this be related to the publishing world appearing in print? Is a link equal to a citation or a download equal to a subscription? Can we develop a Research 2.0 specific position on impact measurement? This includes questions of authority, quality and re-evaluation of quality, and trust.The tension between openness and privacy spans the fourth challenge. The functionality of mash-ups often relies on the use of third-party services. What happens with the data, if this source is no longer available? What about hidden exchange of data among backend services?
2010

Pammer-Schindler Viktoria, Lindstaedt Stefanie , Ghidini C., Rospocher M., Serafini L.

Automatic Support for Formative Ontology Evaluation

Poster & Demo Proceedings of the 17th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2010), 2010

Konferenz
Just as testing is an integral part of software engineering, so is ontologyevaluation an integral part of ontology engineering. We haveimplemented automated support for formative ontology evaluationbased on the two principles of i) checking for compliance withmodelling guidelines and ii) reviewing entailed statements in MoKi,a wiki based ontology engineering environment. These principlesexist in state of the art literature and good ontology engineering andevaluation practice, but have not so far been widely integrated intoontology engineering tools.
2010

Kraker Peter, Fessl Angela, Lindstaedt Stefanie , Ullmann T.D., Wild F., Scott P., Duval E., Vandeputte B., Parra G., Reinhardt W., Heinze N., Nagel T., Gillet D.

Components of a Research 2.0 Infrastructure

EC-TEL 2010: Fifth European Conference on Technology Enhanced Learning, Wolpers, M., Kirschner, P. A., Scheffel, M., Lindstaedt, S. N., Dimitrova, V., Springer, 2010

Konferenz
In this paper, we investigate the components of a Research 2.0infrastructure. We propose building blocks and their concrete implementationto leverage Research 2.0 practice and technologies in our field, including apublication feed format for exchanging publication data, a RESTful API toretrieve publication and Web 2.0 data, and a publisher suit for refining andaggregating data. We illustrate the use of this infrastructure with Research 2.0application examples ranging from a Mash-Up environment, a mobile andmultitouch application, thereby demonstrating the strength of thisinfrastructure.
2010

Lindstaedt Stefanie , Weber Nicolas, Schoefegger K., Nelkner T.

SIMPLE - a social interactive mashup PLE

CEUR Workshop proceedings series, Proceedings of the Third International Workshop on Mashup Personal Learning Environments (MUPPLE09), in conjunction with the 5th European Conference on Technology Enhanced Learning (EC-TEL2010), Wild, F., Kalz, M., Palmér, M., Müller, D., 2010

Konferenz
This paper presents an approach for a mashup PLE especiallydesigned for the interactive and social context of work-integratedlearning (WIL). The mashup PLE consists of a freely configurable set ofwidgets, whose functionalities are based on a framework of five activityclasses to actively support informal learning in a social environment. Wepresent an exemplary implementation of desktop widgets for each of theclasses. Based on the evaluation of the widget framework we highlightfuture research directions for designing PLEs in the context of WIL.
2010

Stern Hermann, Lindstaedt Stefanie , Beham Günter

APOSDLE-DS - A Dataset from the APOSDLE Work- integrated Learning System

1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010), 2010

Konferenz
2010

Stern Hermann, Kaiser Rene, Hofmair P., Lindstaedt Stefanie , Scheir Peter, Kraker Peter

Content Recommendation in APOSDLE using the Associative Network

Journal of Universal Computer Science, 2010

Journal
One of the success factors of Work Integrated Learning (WIL) is to provide theappropriate content to the users, both suitable for the topics they are currently working on, andtheir experience level in these topics. Our main contributions in this paper are (i) overcomingthe problem of sparse content annotation by using a network based recommendation approachcalled Associative Network, which exploits the user context as input; (ii) using snippets for notonly highlighting relevant parts of documents, but also serving as a basic concept enabling theWIL system to handle text-based and audiovisual content the same way; and (iii) using the WebTool for Ontology Evaluation (WTE) toolkit for finding the best default semantic similaritymeasure of the Associative Network for new domains. The approach presented is employed inthe software platform APOSDLE, which is designed to enable knowledge workers to learn atwork.
2010

Stern Hermann, Ulbrich Armin, Pammer-Schindler Viktoria, Lindstaedt Stefanie , Pistore M., Bertoli P.

Message Filtering Based On Mobile User Context

Proceedings of the Second Workshop on Context, Information and Ontologies, Ermolayev, V., Gomez-Perez, J.M., Haase, P., Warren, P. , Workshop at Knowledge Engineering and Knowledge Management (EKAW) 2010, Lisbon, Portugal, October 11, 2010, 2010

Konferenz
We present an on-going research activity that aims to use mobilecontext-based reasoning for creating personalised messages filtering.
2010

Lindstaedt Stefanie , Kump Barbara, Beham Günter, Pammer-Schindler Viktoria, Ley Tobias, de Hoog R., Dotan A.

Providing Varying Degrees of Guidance for Work-Integrated Learning

Sustaining TEL: From Innovation to Learning and Practice, Proceedings of EC-TEL 2010, Wolpers, M., Kirschner, P. A., Scheffel, M., Lindstaedt, S. N., Dimitrova, V., Springer, 2010

Konferenz
We present a work-integrated learning (WIL) concept which aims atempowering employees to learn while performing their work tasks. Withinthree usage scenarios we introduce the APOSDLE environment whichembodies the WIL concept and helps knowledge workers move fluidly alongthe whole spectrum of WIL activities. By doing so, they are experiencingvarying degrees of learning guidance: from building awareness, over exposingknowledge structures and contextualizing cooperation, to triggering reflectionand systematic competence development. Four key APOSDLE components areresponsible for providing this variety of learning guidance. The challenge intheir design lies in offering learning guidance without being domain-specificand without relying on manually created learning content. Our three monthsummative workplace evaluation within three application organizationssuggests that learners prefer awarenss building functionalities and descriptivelearning guidance and reveals that they benefited from it.
2010

Lindstaedt Stefanie , Beham Günter, Stern Hermann, Drachsler H., Bogers T., Vuorikari R., Verbert K., Duval E., Manouselis N., Friedrich M., Wolpers M.

dataTEL - Issues and Considerations regarding Sharable Data Sets for Recommender Systems in Technology Enhanced Learning

1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010), Procedia Computer Science, Elsevier, 2010

Konferenz
This paper raises the issue of missing data sets for recommender systems in Technology Enhanced Learning that can be used asbenchmarks to compare different recommendation approaches. It discusses how suitable data sets could be created according tosome initial suggestions, and investigates a number of steps that may be followed in order to develop reference data sets that willbe adopted and reused within a scientific community. In addition, policies are discussed that are needed to enhance sharing ofdata sets by taking into account legal protection rights. Finally, an initial elaboration of a representation and exchange format forsharable TEL data sets is carried out. The paper concludes with future research needs.
2010

Beham Günter, Kump Barbara, Lindstaedt Stefanie , Ley Tobias

Recommending Knowledgeable People in a Work-Integrated Learning System

1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010), 2010

Konferenz
According to studies into learning at work, interpersonal help seeking is the most important strategy of how people acquireknowledge at their workplaces. Finding knowledgeable persons, however, can often be difficult for several reasons. Expertfinding systems can support the process of identifying knowledgeable colleagues thus facilitating communication andcollaboration within an organization. In order to provide the expert finding functionality, an underlying user model is needed thatrepresents the characteristics of each individual user. In our article we discuss requirements for user models for the workintegratedlearning (WIL) situation. Then, we present the APOSDLE People Recommender Service which is based on anunderlying domain model, and on the APOSDLE User Model. We describe the APOSDLE People Recommender Service on thebasis of the Intuitive Domain Model of expert finding systems, and explain how this service can support interpersonal helpseeking at workplaces.
2010

Lindstaedt Stefanie , Kraker Peter, Höfler Patrick, Fessl Angela

Feeding TEL: Building an Ecosystem Around BuRST to Convey Publication Metadata

Research 2.0 Workshop EC-TEL 2010, 2010

Konferenz
In this paper we present an ecosystem for the lightweight exchangeof publication metadata based on the principles of Web 2.0. At the heart of thisecosystem, semantically enriched RSS feeds are used for dissemination. Thesefeeds are complemented by services for creation and aggregation, as well aswidgets for retrieval and visualization of publication metadata. In twoscenarios, we show how these publication feeds can benefit institutions,researchers, and the TEL community. We then present the formats, services,and widgets developed for the bootstrapping of the ecosystem. We concludewith an outline of the integration of publication feeds with the STELLARNetwork of Excellence1 and an outlook on future developments.
2010

Beham Günter, Lindstaedt Stefanie , Ley Tobias, Kump Barbara, Seifert C.

MyExperiences: Visualizing Evidence in an Open Learner Model

Adjunct Proceedings of the 18th Conference on User Modeling, Adaptation, and Personaization, Posters and Demonstrations, Bohnert, B., Quiroga, L. M., 2010

Journal
When inferring a user’s knowledge state from naturally occurringinteractions in adaptive learning systems, one has to makes complexassumptions that may be hard to understand for users. We suggestMyExperiences, an open learner model designed for these specificrequirements. MyExperiences is based on some of the key design principles ofinformation visualization to help users understand the complex information inthe learner model. It further allows users to edit their learner models in order toimprove the accuracy of the information represented there.
2010

Verbert Katrien, Duval Erik, Lindstaedt Stefanie , Gillet Denis

Context-aware recommender systems

Journal of Universal Computer Science, Springer, 2010

Journal
Kontakt Karriere

Hiermit erkläre ich ausdrücklich meine Einwilligung zum Einsatz und zur Speicherung von Cookies. Weiter Informationen finden sich unter Datenschutzerklärung

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close