Stefanie Lindstaedt

Stefanie Lindstaedt
Graz University of Technology | TU Graz · Knowledge Technologies Institute

About

172
Publications
55,315
Reads
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1,938
Citations

Publications

Publications (172)
Conference Paper
Full-text available
Learning Analytics (LA) researchers and practitioners are growing interested in applying human-centred design methods and techniques to design LA technology. This approach finds solutions by involving the perspectives of students, teachers, and other educational stakeholders in all process steps. It enables the creation of technology that resonates...
Article
Collaborative research is common practice in modern life sciences. For most projects several researchers from multiple universities collaborate on a specific topic. Frequently, these research projects produce a wealth of data that requires central and secure storage, which should also allow for easy sharing among project participants. Only under be...
Conference Paper
Full-text available
As Learning Analytics (LA) in the higher education setting increasingly transitions from a field of research to an implemented matter of fact of the learner's experience, the demand of practical guidelines to support its development is rising. LA Policies bring together different perspectives, like the ethical and legal dimensions, into frameworks...
Article
Full-text available
Background The clinical and scientific value of Prechtl general movement assessment (GMA) has been increasingly recognised, which has extended beyond the detection of cerebral palsy throughout the years. With advancing computer science, a surging interest in developing automated GMA emerges. Aims In this scoping review, we focused on video-based a...
Chapter
Our earlier research attempts to close the gap between learning behavior analytics based dashboard feedback and learning theories by grounding the idea of dashboard feedback onto learning science concepts such as feedback, learning goals, (socio-/meta-) cognitive mechanisms underlying learning processes. This work extends the earlier research by pr...
Article
Full-text available
Life sciences (LS) are advanced in research data management, since LS have established disciplinary tools for data archiving as well as metadata standards for data reuse. However, there is a lack of tools supporting the active research process in terms of data management and data analytics. This leads to tedious and demanding work to ensure that re...
Conference Paper
Our earlier research attempts to close the gap between learning analytics and learning theories by grounding the idea of dashboard feedback onto learning science concepts such as feedback, learning goals, (socio-/ meta-) cognitive mechanisms underlying learning processes. This work extends the earlier research by proposing mechanisms for making tho...
Article
Full-text available
Purpose Introducing technology at work presents a special challenge as learning is tightly integrated with workplace practices. Current design-based research (DBR) methods are focused on formal learning context and often questioned for a lack of yielding traceable research insights. This paper aims to propose a method that extends DBR by understand...
Presentation
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CyVerse Austria (CAT) is an extensible platform deployed within the frame of BioTechMed-Graz inorder to support life science researchers at Graz University of Technology, University of Graz and Medical University of Graz in data management and complex bioinformatic analyses. CAT is a powerful infrastructure providing data storage, management of HPC...
Preprint
Full-text available
This work addresses the problem of providing and evaluating recommendations in data markets. Since most of the research in recommender systems is focused on the bipartite relationship between users and items (e.g., movies), we extend this view to the tripartite relationship between users, datasets and services, which is present in data markets. Bet...
Preprint
Full-text available
In this paper, we present our work to support publishers and editors in finding descriptive tags for e-books through tag recommendations. We propose a hybrid tag recommendation system for e-books, which leverages search query terms from Amazon users and e-book metadata, which is assigned by publishers and editors. Our idea is to mimic the vocabular...
Conference Paper
Full-text available
This paper aims to identify self-regulation strategies from students' interactions with the learning management system (LMS). We used learning analytics techniques to identify metacognitive and cognitive strategies in the data. We define three research questions that guide our studies analyzing i) self-assessments of motivation and self regulation...
Technical Report
The European Open Science Cloud (EOSC) aims to accelerate and support the current transition to more effective Open Science and Open Innovation in the Digital Single Market. It should enable trusted access to services, systems and the re-use of shared scientific data across disciplinary, social and geographical borders. The term cloud is understood...
Conference Paper
Recognizing the need for addressing the rather fragmented character of research in this field, we have held a workshop on learning analytics for workplace and professional learning at the Learning Analytics and Knowledge (LAK) Conference. The workshop has taken a broad perspective, encompassing approaches from a number of previous traditions, such...
Technical Report
Full-text available
This report provides a summary of the work done in Year 3 in the Learning Layers project from the perspective of Work Package 5 (WP5). The main objective of WP5 is to develop a Social Semantic Network (SSN) that enables situated and contextualized learning to support scaling of informal workplace learning and meaning making, as well as scaffolding...
Conference Paper
We present KnowBrain (KB), an open source Dropbox-like knowledge repository with social features for informal workplace learning. KB enables users (i) to share and collaboratively structure knowledge , (ii) to access knowledge via sophisticated content-and metadata-based search and recommendation, and (iii) to discuss artefacts by means of multimed...
Article
Full-text available
Given the enormous amount of scientific knowledge that is produced each and every day, the need for better ways of gaining – and keeping – an overview of research fields is becoming more and more apparent. In a recent paper published in the Journal of Informetrics [1], we analyze the adequacy and applicability of readership statistics recorded in s...
Article
In this paper, we analyze the adequacy and applicability of readership statistics recorded in social reference management systems for creating knowledge domain visualizations. First, we investigate the distribution of subject areas in user libraries of educational technology researchers on Mendeley. The results show that around 69% of the publicati...
Chapter
Full-text available
Research depends to a large degree on the availability and quality of primary research data, i.e., data generated through experiments and evaluations. While the Web in general and Linked Data in particular provide a platform and the necessary technologies for sharing, managing and utilizing research data, an ecosystem supporting those tasks is stil...
Conference Paper
Linked Data has become an essential part of the Semantic Web. A lot of Linked Data is already available in the Linked Open Data cloud, which keeps growing due to an influx of new data from research and open government activities. However, it is still quite difficult to access this wealth of semantically enriched data directly without having in-dept...
Conference Paper
Full-text available
At the beginning of a scientific study, it is usually quite hard to get an overview of a research field. We aim to address this problem of classic literature search using web data. In this extended abstract, we present work-in-progress on an interactive visualization of research fields based on reader-ship statistics from the social reference manag...
Conference Paper
We developed an iOS based application called iScope to monitor biosignals online. iScope is able to receive different signal types via a wireless network connection and is able to present them in the time or the frequency domain. Thus it is possible to inspect recorded data immediately during the recording process and detect potential artifacts ear...
Article
Collaborative tagging platforms allow users to describe resources with freely chosen keywords, so called tags. The meaning of a tag as well as the precise relation between a tag and the tagged resource are left open for interpretation to the user. Although human users mostly have a fair chance at interpreting this relation, machines do not. In this...
Article
Full-text available
User knowledge levels in adaptive learning systems can be assessed based on user interactions that are interpreted as Knowledge Indicating Events (KIE). Such an approach makes complex inferences that may be hard to understand for users, and that are not necessarily accurate. We present MyExperiences, an open learner model designed for showing the u...
Article
Full-text available
Detecting the task a user is performing on her computer desktop is important for providing her with contextualized and personalized support. Some recent approaches propose to perform automatic user task detection by means of classiers using captured user context data. In this paper we improve on that by using an ontology-based user interaction cont...
Article
Full-text available
Technology Enhanced Learning is undergoing a significant shift in paradigm towards more data driven systems that will make educational systems more transparent and predictable. Data science and data-driven tools will change the evaluation of educational practice and didactical interventions for individual learners and educational institutions. We s...
Article
Full-text available
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...
Conference Paper
Full-text available
Evaluation frameworks have been presented that suggest layered evaluation of adaptive systems along two dimensions: (i) the software development cycle, and (ii) the component of the adaptive system that shall be looked at. We argue that a third dimension is crucial: the question whether an evaluation should take place in the lab or in the field. We...
Conference Paper
Full-text available
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 t...
Conference Paper
Full-text available
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 da...
Article
The i-KNOW 2011, organized by Know-Center GmbH and Graz University of Technology, is the 11th conference of a very successful conference series on knowledge management and knowledge technologies. Since its inception in 2001, the International Conference on Knowledge Management and Knowledge Technologies (i-KNOW) has grown into an internationally vi...
Article
This volume contains the proceedings of the I-SEMANTICS 2011. I-SEMANTICS offers a forum for the exchange of latest scientific results in semantic systems and complements these topics with new research challenges in the area of social software, semantic content engineering, logic programming and Semantic Web technologies. The conference is in its s...
Chapter
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 prod...
Chapter
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...
Article
Jointly working on shared digital artifacts – such as wikis – is a well-tried method of developing knowledge collectively within a group or organization. Our assumption is that such knowledge maturing is an accommodation process that can be measured by taking the writing process itself into account. This paper describes the development of a tool th...
Article
Full-text available
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 de...
Conference Paper
Full-text available
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 know-how requires individual and collaborative reflection at work. We present an explorative interview study that analyzes reflection at the workpl...
Conference Paper
Full-text available
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...
Article
Full-text available
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 t...
Conference Paper
While research comes up with new sensors and physiological data is gaining more attention in private usage, sensors play no role in professional learning. In this paper we shed light on the motivation to use physiological sensors in the workplace. Three user studies have been conducted in five companies to assess the motivation to (a) wear sensors...
Article
Full-text available
The relevance of reflection for learning has long been recog-nised, and there is a substantial body of theoretical work on reflection. However, many questions regarding reflection at the workplace are still open, especially regarding the actual occurrence of reflection in different workplaces, and the efficient support for reflection. In our ongoin...
Book
The i-KNOW 2011, organized by Know-Center GmbH and Graz University of Technology, is the 11th conference of a very successful conference series on knowledge management and knowledge technologies. Since its inception in 2001, the International Conference on Knowledge Management and Knowledge Technologies (i-KNOW) has grown into an internationally vi...
Article
This chapter presents a domain-independent computational environment which supports work-integrated learning at the professional workplace. The Advanced Process-Oriented Self-Directed Learning Environment (APOSDLE) provides learning support during the execution of work tasks (instead of beforehand), within the work environment of the user (instead...
Article
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' situ...
Article
Full-text available
Drachsler, H., Bogers, T., Vuorikari, R., Verbert, K., Duval, E., Manouselis, N., Beham, G., Lindstaedt, S., Stern, H., Friedrich, M., & Wolpers, M. (2010). Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning. In N. Manouselis, H. Drachsler, K. Verbert, & O. Santos (Eds.), Elsevier Procedia...
Article
Full-text available
According to studies into learning at work, interpersonal help seeking is the most important strategy of how people acquire knowledge at their workplaces. Finding knowledgeable persons, however, can often be difficult for several reasons. Expert finding systems can support the process of identifying knowledgeable colleagues thus facilitating commun...
Conference Paper
Full-text available
We present a work-integrated learning (WIL) concept which aims at empowering employees to learn while performing their work tasks. Within three usage scenarios we introduce the APOSDLE environment which embodies the WIL concept and helps knowledge workers move fluidly along the whole spectrum of WIL activities. By doing so, they are experiencing va...
Conference Paper
Full-text available
Supporting learning activities during work has gained momentum for organizations since work-integrated learning (WIL) has been shown to increase productivity of knowledge workers. WIL aims at fostering learning at the workplace, during work, for enhancing task performance. A key challenge for enabling task-specific, contextualized, personalized lea...
Conference Paper
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 e...
Conference Paper
Full-text available
In this paper, we investigate the components of a Research 2.0 infrastructure. We propose building blocks and their concrete implementation to leverage Research 2.0 practice and technologies in our field, including a publication feed format for exchanging publication data, a RESTful API to retrieve publication and Web 2.0 data, and a publisher suit...
Article
Full-text available
We present two plug-ins for Protégé OWL. The first, Discovery Tab, supports document-based ontology engineering with relevant term extrac-tion, clustering and related functionality. The second, Annotation Tab, provides a facility to annotate documents manually and automatically (based on a training set).
Article
Full-text available
One of the success factors of Work Integrated Learning (WIL) is to provide the appropriate content to the users, both suitable for the topics they are currently working on, and their experience level in these topics. Our main contributions in this paper are (i) overcoming the problem of sparse content annotation by using a network based recommendat...
Article
Full-text available
In this paper we present an ecosystem for the lightweight exchange of publication metadata based on the principles of Web 2.0. At the heart of this ecosystem, semantically enriched RSS feeds are used for dissemination. These feeds are complemented by services for creation and aggregation, as well as widgets for retrieval and visualization of public...
Book
Full-text available
Wolpers, M., Kirschner, P. A., Scheffel, M., Lindstaedt, S., & Dimitrova, V. (Eds.) (2010). Sustaining TEL: From Innovation to learning and practice. Proceedings of the 5th European Conference on Technology Enhanced Learning, EC-TEL 2010. September, 28 - October, 1, 2010, Barcelona, Spain. Berlin: Springer Verlag.
Chapter
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...
Conference Paper
Full-text available
Many online platforms allow users to describe resources with freely chosen keywords, so called tags. The specific meaning of a tag as well as its specific relation to the tagged resource are left open for interpretation to the user. Although human users mostly have a fair chance at interpreting it, machines do not. An algorithmic approach for ident...
Conference Paper
Full-text available
Evaluation and consequent revision of ontologies is a critical task in the process of ontology engineering. We argue the necessity and merits of reviewing implicitly entailed knowledge as part of a methodical evaluation. We study this process by means of a prototypical implementation for OWL DL ontologies, called ontology questionnaire, and discuss...
Conference Paper
Full-text available
The changes in the dynamics of the economy and the corresponding mobility and fluctuations of knowledge workers within organizations make continuous social learning an essential factor for an organization. Within the underlying organizational processes, Knowledge Maturing refers to the the corresponding evolutionary process in which knowledge objec...
Chapter
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 we investigate how to improve retrieval performance in a setting where reso...
Article
Full-text available
Increasing the productivity of a knowledge worker via intelligent applications requires the identification of a user's current work task, i.e. the current work context a user resides in. In this work we present and evaluate machine learning based work task detection methods. By viewing a work task as sequence of digital interaction patterns of mous...
Conference Paper
The evolutionary process in which knowledge objects are transformed from informal and highly contextualized artefacts into explicitly linked and formalized learning objects, together with the corresponding organisational learning processes, have been termed Knowledge Maturing. Whereas wikis and other tools for collaborative building of knowledge ha...
Conference Paper
Full-text available
Work-integrated learning (WIL) poses unique challenges for user model design: on the one hand users’ knowledge levels need to be determined based on their work activities – testing is not a viable option; on the other hand users do interact with a multitude of different work applications – there is no central learning system. This contribution intr...
Conference Paper
Full-text available
We argue that in order to increase knowledge work productivity we have to put more emphasis on supporting this learning dimension of knowledge work. The key distinctions compared to other TEL approaches are (1) taking the tight integration of working and learning seriously, (2) enabling seamless transitions on the continuum of learning practices, a...
Conference Paper
Full-text available
Detecting the current task of a user is essential for providing her with contextualized and personalized support, and using Contextual Attention Metadata (CAM) can help doing so. Some recent approaches propose to perform automatic user task detection by means of task classifiers using such metadata. In this paper, we show that good results can be a...
Conference Paper
Full-text available
'Understanding context is vital' [1] and 'context is key' [2] signal the key interest in the context detection field. One important challenge in this area is automatically detecting the user's task because once it is known it is possible to support her better. In this paper we propose an ontology-based user interaction context model (UICO) that enh...