Here you can find scientific publications of Know-Center employees

The Social Semantic Server: A Flexible Framework to Support Informal Learning at the Workplace

S Dennerlein, D Kowald, E Lex, D Theiler, E Lacic, T Ley, V Tomberg, A Ruiz-Calleja – …, 2015 – In Proceeding of 15th International Conference …

Informal learning at the workplace includes a multitude of processes. Respective activities can be categorized into multiple perspectives on informal learning, such as reflection, sensemaking, help seeking and maturing of collective knowledge. Each perspective raises requirements with respect to the technical support, this is why an integrated solution relying on…

Using the Hybrid Social Learning Network to Explore Concepts, Practices, Designs and Smart Services for Networked Profes…

J Cook, T Ley, R Maier, Y Mor, P Santos, E Lex, S Dennerlein, C Trattner, D Holley – Proceedings of the International Co…, 2015

Supporting learning analytics for informal workplace learning with a social semantic infrastructure.

A Ruiz-Calleja, S Dennerlein, V Tomberg, K Pata, T Ley, D Theiler, E Lex – In Proceedings of the European Conference on …, 2015

Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics

P Seitlinger, D Kowald, S Kopeinik, I Hasani-Mavriqi, T Ley, E Lex – In 24rd International World Wide Web Conference (WW…, 2015

Refining Frequency-Based Tag Reuse Predictions by Means of Time and Semantic Context

D Kowald, S Kopeinik, P Seitlinger, T Ley, D Albert, C Trattner – MSM-MUSE PostProceedings, 2015

In this paper, we introduce a tag recommendation algorithm that mimics the way humans draw on items in their long-term memory. Based on a theory of human memory, the approach estimates a tag's probability being applied by a particular user as a function of usage frequency and recency of the…

Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender

D Kowald, P Seitlinger, S Kopeinik, T Ley, C Trattner – MSM-MUSE PostProceedings, 2015

We assume that recommender systems are more successful, when they are based on a thorough understanding of how people process information. In the current paper we test this assumption in the context of social tagging systems. Cognitive research on how people assign tags has shown that they draw on two…

Scaling the support for informal learning at the workplace: a model and four designs from a large-scale design-based res…

T Ley, J Cook, S Dennerlein, M Kravcik, C Kunzmann, K Pata, J Purma, J Sandars, P Santos, A Schmidt, M AL-Smadi, C Trattner – British Journal of Educational Tech…, 2014

Workplace learning happens in the process and context of work, is multi-episodic, often informal, problem based and takes place on a just-in-time basis. While this is a very effective means of delivery, it also does not scale very well beyond the immediate context. We review three types of technologies that…

Making Sense of Bits and Pieces: A Sensemaking Tool for Informal Workplace Learning

S Dennerlein, M Rella, V Tomberg, D Theiler, T Treasure-Jones, M Kerr, T Ley, C Trattner – in press, 2014

Sensemaking at the workplace and in educational contexts has been extensively studied for decades. Interestingly, making sense out of the own wealth of learning experiences at the workplace has been widely ignored. To tackle this issue, we have implemented a novel sensemaking interface for healthcare professionals to support learning at…

Long Time No See: The Probability of Reusing Tags as a Function of Frequency and Recency

D Kowald, P Seitlinger, C Trattner, T Ley – Proceedings of the…, 2014 – International World Wide Web Conferences Steering …

In this paper, we introduce a tag recommendation algorithm that mimics the way humans draw on items in their long-term mem- ory. This approach uses the frequency and recency of previous tag assignments to estimate the probability of reusing a particular tag. Using three real-world folksonomies gathered from bookmarks in…

Orchestrating Collaboration and Community Technologies for Individual and Organisational Learning

T Ley, K Tammets, S Lindstaedt – Buch, 2014 – Littlejohn, Allison; Margaryan, Anoush

Orchestrating Collaboration and Community Technologies for individual and organisational Learning

T Ley, K Tammets, S Lindstaedt – Buch, 2013 – A. Littlejohn, A. Margaryan

Proceedings of {ECTEL} meets {ECSCW} 2013, the Workshop on Collaborative Technologies for Working and Learning, Paphos,…

M Divitini, T Ley, S Lindstaedt, V Pammer, M Prilla – CEUR Workshop Proceedings, 2013

Recommending Tags with a Model of Human Categorization

P Seitlinger, D Kowald, C Trattner, T Ley – Proceedings of the 22nd ACM international conference on Conference on inform…, 2013

When interacting with social tagging systems, humans exercise complex processes of categorization that have been the topic of much research in cognitive science. In this paper we present a recommender approach for social tags derived from ALCOVE, a model of human category learning. The basic architecture is a simple three-layers…

Tracing knowledge co-evolution in a realistic course setting: A wiki-based field experiment

B Kump, J Moskaliuk, S Dennerlein, T Ley – Computers& Education, 2013

Seeing What the System Thinks You Know - Visualizing Evidence in an Open Learner Model

B Kump, C Seifert, G Beham, S Lindstaedt, T Ley – accepted for the LAK Conference 2012, Vancouver, British Columbia, Can…, 2012


Wenn Sie diese Seite nutzen stimmen Sie der Verwendung von Cookies zu mehr Information

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.