The Social Semantic Server Tool Support in Learning LayersDominik Kowald
Slides presented by Tobias Ley at the 3rd Learning Layers reviews meeting about how the Social Semantic Server (SSS) support the Layers tools in the Healthcare and Construction areas.
The influence of social status on consensus building in collaboration networksIlire Hasani-Mavriqi
In this paper, we analyze the influence of social status on opinion dynamics and consensus building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical collaboration networks by taking into account both the network structure and the individual differences of people reflected through their social status. For our simulations, we adapt a well-known Naming Game model and extend it with the Probabilistic Meeting Rule to account for the social status of individuals participating in a meeting. This mechanism is sufficiently flexible and allows us to model various situations in collaboration networks, such as the emergence or disappearance of social classes. In this work, we concentrate on studying three well-known forms of class society: egalitarian, ranked and stratified. In particular, we are interested in the way these society forms facilitate opinion diffusion. Our experimental findings reveal that (i) opinion dynamics in collaboration networks is indeed affected by the individuals’ social status and (ii) this effect is intricate and non-obvious. In particular, although the social status favors consensus building, relying on it too strongly can slow down the opinion diffusion, indicating that there is a specific setting for each collaboration network in which social status optimally benefits the consensus building process.
Paper: http://www.know-center.tugraz.at/cms/wp-content/uploads/2015/08/ASONAM_2015_Paper.pdf
Reference:
Hasani-Mavriqi I, Geigl F, Pujari SC, Lex E, Helic D (2015) The influence of social status on consensus building in collaboration networks. In: Proceedings of the 2015 IEEE/ACM international conference on advances in social networks analysis and mining 2015, ASONAM ’15ACM, New York, NY, USA, pp 162–169
http://dl.acm.org/citation.cfm?id=2808887&CFID=851242713&CFTOKEN=32991930
WWW'15: A Hybrid Resource Recommender Mimicking Attention-Interpretation Dyna...Dominik Kowald
This document summarizes a hybrid recommender system that combines user-based collaborative filtering with a computational model of human category learning called SUSTAIN. The approach trains a SUSTAIN network for each user based on their activities, then applies the network to rank candidate recommendations generated through collaborative filtering. Evaluation on three datasets found it improves over collaborative filtering alone by leveraging the SUSTAIN model of how users' attentional focus shapes interpretation and decision making during recommendation. The open-source TagRec framework implements the approach and baselines to further personalized and accurate resource recommendation.
WWW2014: Long Time No See: The Probability of Reusing Tags as a Function of F...Dominik Kowald
WWW2014 - WebScience Track
Long Time No See: The Probability of Reusing Tags as a Function of Frequency and Recency
Dominik Kowald, Paul Seitlinger, Christoph Trattner, Tobias Ley
HT2016: Influence of Frequency, Recency and Semantic Context on Tag ReuseDominik Kowald
This document discusses factors that influence tag reuse in social tagging systems. An empirical study showed that the probability of a tag being reused increases with its frequency of past use, recency of past use, and similarity to tags in the current context. A prediction study found that combining these factors into recommendation algorithms worked best at predicting tag reuse, and that the importance of recency decreased for broader folksonomy types while social influence became more important. Future work is proposed to further analyze social influence and semantic context.
The Social Semantic Server: A Flexible Framework to Support Informal Learning...tobold
The document describes the Social Semantic Server (SSS), a flexible framework developed to support informal learning in workplace settings. The SSS was designed based on theories of distributed cognition and meaning making to help learners interact through shared digital artifacts. It implements a service-oriented architecture with various microservices to integrate different learning tools. Examples of tools built on the SSS include Bits & Pieces for sensemaking experiences, KnowBrain for collaborative discussions, and Bookmarker/Attacher for exploring online topics. The SSS aims to provide a technical infrastructure that can capture workplace learning interactions and support the social construction of shared meaning.
We gave this lightning talk about the Layers Box approach in Agder, Norway on May 12, 2015. It highlights the Layers Adapter that proxies requests to our microservice architecture in the backend, secured by OpenID Connect
The Social Semantic Server Tool Support in Learning LayersDominik Kowald
Slides presented by Tobias Ley at the 3rd Learning Layers reviews meeting about how the Social Semantic Server (SSS) support the Layers tools in the Healthcare and Construction areas.
The influence of social status on consensus building in collaboration networksIlire Hasani-Mavriqi
In this paper, we analyze the influence of social status on opinion dynamics and consensus building in collaboration networks. To that end, we simulate the diffusion of opinions in empirical collaboration networks by taking into account both the network structure and the individual differences of people reflected through their social status. For our simulations, we adapt a well-known Naming Game model and extend it with the Probabilistic Meeting Rule to account for the social status of individuals participating in a meeting. This mechanism is sufficiently flexible and allows us to model various situations in collaboration networks, such as the emergence or disappearance of social classes. In this work, we concentrate on studying three well-known forms of class society: egalitarian, ranked and stratified. In particular, we are interested in the way these society forms facilitate opinion diffusion. Our experimental findings reveal that (i) opinion dynamics in collaboration networks is indeed affected by the individuals’ social status and (ii) this effect is intricate and non-obvious. In particular, although the social status favors consensus building, relying on it too strongly can slow down the opinion diffusion, indicating that there is a specific setting for each collaboration network in which social status optimally benefits the consensus building process.
Paper: http://www.know-center.tugraz.at/cms/wp-content/uploads/2015/08/ASONAM_2015_Paper.pdf
Reference:
Hasani-Mavriqi I, Geigl F, Pujari SC, Lex E, Helic D (2015) The influence of social status on consensus building in collaboration networks. In: Proceedings of the 2015 IEEE/ACM international conference on advances in social networks analysis and mining 2015, ASONAM ’15ACM, New York, NY, USA, pp 162–169
http://dl.acm.org/citation.cfm?id=2808887&CFID=851242713&CFTOKEN=32991930
WWW'15: A Hybrid Resource Recommender Mimicking Attention-Interpretation Dyna...Dominik Kowald
This document summarizes a hybrid recommender system that combines user-based collaborative filtering with a computational model of human category learning called SUSTAIN. The approach trains a SUSTAIN network for each user based on their activities, then applies the network to rank candidate recommendations generated through collaborative filtering. Evaluation on three datasets found it improves over collaborative filtering alone by leveraging the SUSTAIN model of how users' attentional focus shapes interpretation and decision making during recommendation. The open-source TagRec framework implements the approach and baselines to further personalized and accurate resource recommendation.
WWW2014: Long Time No See: The Probability of Reusing Tags as a Function of F...Dominik Kowald
WWW2014 - WebScience Track
Long Time No See: The Probability of Reusing Tags as a Function of Frequency and Recency
Dominik Kowald, Paul Seitlinger, Christoph Trattner, Tobias Ley
HT2016: Influence of Frequency, Recency and Semantic Context on Tag ReuseDominik Kowald
This document discusses factors that influence tag reuse in social tagging systems. An empirical study showed that the probability of a tag being reused increases with its frequency of past use, recency of past use, and similarity to tags in the current context. A prediction study found that combining these factors into recommendation algorithms worked best at predicting tag reuse, and that the importance of recency decreased for broader folksonomy types while social influence became more important. Future work is proposed to further analyze social influence and semantic context.
The Social Semantic Server: A Flexible Framework to Support Informal Learning...tobold
The document describes the Social Semantic Server (SSS), a flexible framework developed to support informal learning in workplace settings. The SSS was designed based on theories of distributed cognition and meaning making to help learners interact through shared digital artifacts. It implements a service-oriented architecture with various microservices to integrate different learning tools. Examples of tools built on the SSS include Bits & Pieces for sensemaking experiences, KnowBrain for collaborative discussions, and Bookmarker/Attacher for exploring online topics. The SSS aims to provide a technical infrastructure that can capture workplace learning interactions and support the social construction of shared meaning.
We gave this lightning talk about the Layers Box approach in Agder, Norway on May 12, 2015. It highlights the Layers Adapter that proxies requests to our microservice architecture in the backend, secured by OpenID Connect
The document discusses the EDSA curriculum for training data scientists. It provides an overview of EDSA activities like surveys and dashboards. The curriculum has modular components covering foundations, storage/processing, analysis, and interpretation/use of data science. It is designed for different audiences, tools, data types, industries, and skill levels. Challenges include the diversity of learners and disciplines. The EDSA ambassador program helps train data scientists through certified courses.
The document discusses the e-Framework for Education and Research, which is an initiative to develop an open standards-based technical framework to support education and research. It aims to define a set of reusable services that can be combined to support different functions. The benefits of a service-oriented architecture are outlined, as well as some existing tools that could potentially be incorporated into or extended by the e-Framework. Challenges with adopting the framework approach are also mentioned.
MINING AND VISUALIZING USAGE OF EDUCATIONAL SYSTEMS USING LINKED DATAMartin Ebner
This document presents a methodology for mining and visualizing usage data from educational systems using linked data. The methodology is demonstrated on a case study of a personal learning environment (PLE) with over 4000 users. Usage logs from the PLE over two years were modeled as semantic web data and queried to generate visualizations of usage intensity and comparisons. The visualizations provide insights that can help improve system usability and design. Future work includes enhancing the methodology with linked data and improving recommendations.
The document outlines the vision and overview of the EDSA project, which aims to become the top provider of data science training in Europe and establish a sustainable Data Science Institute. The project follows an end-to-end life-cycle approach informed by real data analysis. It will develop rich open educational resources and provide training through various means like webinars and a summer school. Community engagement will occur through prominent eLearning channels and collaboration with stakeholders.
This document discusses community engagement efforts for the EDSA project, including both offline meetings like ICT 2015 conferences to network, demo dashboards, and conduct surveys/interviews, as well as online dissemination through social media, websites, and newsletters. It specifically highlights two workshops at ICT 2015 on addressing big data skills gaps and co-designing a digital skills taxonomy, and establishes an EDSA partnership model of ambassadors, certified courses, and trainers for trainees. Press coverage of the project through technical articles is also mentioned.
The document discusses ontologies, including their definition, purpose, and typical engineering process. It provides examples of existing ontologies such as DBpedia, Wikidata, and WordNet. It also outlines some key activities for developing ontologies, such as finding relevant existing ontologies, selecting which to use or extend, and adjusting or expanding them as needed. Some basics of ontology conceptualization are also introduced, such as modeling classes, instances, attributes, and relationships between classes.
d+ is a tool that allows discovery of learning resources stored across distributed repositories. It enhances the discovery capabilities of WebCT by highlighting relevant resources when students need them. d+ allows federated searches of peer-reviewed materials from repositories, subject gateways, journals, learning object collections and more. Users enter search terms and select repositories to search, and results can be captured, saved and integrated into WebCT. While the original d+ project is finished, the tool addresses real needs around resource discovery.
The European Data Science Academy (EDSA) aims to establish a community of educators, learners, practitioners and policy makers on data science. EDSA will develop modular and multilingual curriculum and courses on data science topics like foundations, storage/processing, analysis, interpretation and use. Courses will be delivered through video lectures, MOOCs, eBooks and professional training. EDSA will also conduct surveys and interviews to understand skills demand and track trends through a dashboard analyzing job openings and skills across Europe.
Learning Analytics: Trends and Issues of the Empirical Research of the Years ...Ralf Klamma
This document summarizes the findings of a study analyzing empirical learning analytics research from 2011-2014. The study found that most research examined log data from university students to visualize learning trajectories and predict success or failure. However, some innovative studies looked at informal learning communities, video/audio data, automated assessment, and error diagnosis. The document recommends that future learning analytics research incorporate more educational and psychological theories for a deeper understanding of the issues.
The document outlines the curriculum and self-study courses developed by EDSA. It includes the following key points:
- The curriculum covers foundational topics, storage/processing, analysis, and interpretation/use of data science. It is delivered through video lectures, MOOCs, eBooks, and other online learning formats.
- Self-study courses are offered on topics like foundations of big data, distributed computing, and machine learning. MOOCs are also developed on the FutureLearn platform.
- The curriculum is regularly updated, with new topics like statistical foundations and data management planned for future iterations.
- Courses are tagged with skills and targeted towards different learner groups like statisticians, analysts
Paul Seiler: Eportfolios for ULearn 2010 workshopNick Rate
The document discusses digital learning tools and content that can support a managed learning environment (MLE). It mentions that every school already has an MLE and lists guiding attributes. It also explores using the learning management system (LMS) as a central hub and investing in the eportfolio tool Mahara for students year 7 and up. Schools are encouraged to start using MyPortfolio and register for Mahara taster sessions.
This document proposes a pairwise reputation mechanism (PWRM) to rank learning resources in MOOCs. It discusses challenges with existing reputation mechanisms, like lack of accuracy with numerical ratings. The PWRM gathers opinions by having users compare resources in pairs, rather than rate them individually. It formalizes a MOOC model with users, resources, who uploaded/used each resource. The PWRM aims to build rankings of resources within a MOOC by aggregating users' pairwise opinions into a live representation. It concludes clustering resources by type or metadata could aid the selection process.
This document discusses MOOCs and learning analytics. It provides an overview of MOOCs, including their characteristics and growth. It also discusses learning analytics, defining it as measuring data about learners and contexts to optimize learning. Various learning analytics methods and applications are outlined, including at the EDSA and OU. The OU's Analyse tool for early identification of at-risk students using machine learning is also summarized.
The document discusses analyzing demand for data science skills across Europe. It outlines current data sources like job postings, surveys, and interviews used to evaluate the current state and make predictions. The analysis identifies gaps in data science training to inform curriculum development. Visual dashboards track job postings by country, city, and required skills to understand demand trends across EU countries.
Delivering Linked Data Training to Data Science PractitionersMarin Dimitrov
Ontotext has provided Linked Data trainings to practitioners from various organizations to educate them on Linked Data and Semantic Web topics. They have learned that trainings need to (1) accommodate mixed audiences with different backgrounds and expertise, (2) use language tailored to each audience, and (3) strike a balance between theoretical foundations and practical applications. Ontotext also developed the EUCLID social media monitoring platform to identify trending topics in Linked Data for extending their training curriculum. The platform integrates and analyzes data from various social media sources to extract topics and visualize analytics.
This document discusses e-learning and the need for a new learning architecture to deliver optimal competence and performance for students and teachers. It outlines new tools for e-learning like digital media, learning management software, and authoring tools. A mixed-mode approach is proposed using limited contact hours combined with web-based learning. Cost estimates are provided for implementing an e-learning program. Financial support options are mentioned, and the eDILEMA project aims to create a Digital Library of Learning Objects with standardized metadata. Evaluation criteria for online courses are listed to encourage cooperation among universities.
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for...eMadrid network
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for Supporting discovery and reuse of OER. An approach based on Social Networks Analysis and Linked Open Data
The document summarizes the research data management program at the University of Edinburgh. It discusses the services provided, including a data management planning tool, a data repository for publication and preservation, and a data storage system. Training and support are also offered to help researchers with best practices in organizing, documenting, sharing, and preserving their research data over its entire lifecycle. The program aims to implement the University's research data policy and support funder requirements by establishing these research data management services.
Yjs: A Framework for Near Real-time P2P Shared Editing on Arbitrary Data TypesNicolaescu Petru
Demo poster for our near real-time collaboration framework, Yjs at the International Conference for Web Engineering 2015 (ICWE15). Find out more information at http://y-js.org
Requirements Bazaar - Meet your Users on the WebIstvanKoren
The document discusses the Requirements Bazaar, an online tool that allows end users to submit ideas and requirements that can then be accessed by open source software developers. It aims to help innovative end-user ideas reach developers by providing a more user-friendly interface compared to traditional requirements engineering tools. The Requirements Bazaar website integrates directly into software development workspaces to streamline the process of gathering and implementing user requirements.
The document discusses the EDSA curriculum for training data scientists. It provides an overview of EDSA activities like surveys and dashboards. The curriculum has modular components covering foundations, storage/processing, analysis, and interpretation/use of data science. It is designed for different audiences, tools, data types, industries, and skill levels. Challenges include the diversity of learners and disciplines. The EDSA ambassador program helps train data scientists through certified courses.
The document discusses the e-Framework for Education and Research, which is an initiative to develop an open standards-based technical framework to support education and research. It aims to define a set of reusable services that can be combined to support different functions. The benefits of a service-oriented architecture are outlined, as well as some existing tools that could potentially be incorporated into or extended by the e-Framework. Challenges with adopting the framework approach are also mentioned.
MINING AND VISUALIZING USAGE OF EDUCATIONAL SYSTEMS USING LINKED DATAMartin Ebner
This document presents a methodology for mining and visualizing usage data from educational systems using linked data. The methodology is demonstrated on a case study of a personal learning environment (PLE) with over 4000 users. Usage logs from the PLE over two years were modeled as semantic web data and queried to generate visualizations of usage intensity and comparisons. The visualizations provide insights that can help improve system usability and design. Future work includes enhancing the methodology with linked data and improving recommendations.
The document outlines the vision and overview of the EDSA project, which aims to become the top provider of data science training in Europe and establish a sustainable Data Science Institute. The project follows an end-to-end life-cycle approach informed by real data analysis. It will develop rich open educational resources and provide training through various means like webinars and a summer school. Community engagement will occur through prominent eLearning channels and collaboration with stakeholders.
This document discusses community engagement efforts for the EDSA project, including both offline meetings like ICT 2015 conferences to network, demo dashboards, and conduct surveys/interviews, as well as online dissemination through social media, websites, and newsletters. It specifically highlights two workshops at ICT 2015 on addressing big data skills gaps and co-designing a digital skills taxonomy, and establishes an EDSA partnership model of ambassadors, certified courses, and trainers for trainees. Press coverage of the project through technical articles is also mentioned.
The document discusses ontologies, including their definition, purpose, and typical engineering process. It provides examples of existing ontologies such as DBpedia, Wikidata, and WordNet. It also outlines some key activities for developing ontologies, such as finding relevant existing ontologies, selecting which to use or extend, and adjusting or expanding them as needed. Some basics of ontology conceptualization are also introduced, such as modeling classes, instances, attributes, and relationships between classes.
d+ is a tool that allows discovery of learning resources stored across distributed repositories. It enhances the discovery capabilities of WebCT by highlighting relevant resources when students need them. d+ allows federated searches of peer-reviewed materials from repositories, subject gateways, journals, learning object collections and more. Users enter search terms and select repositories to search, and results can be captured, saved and integrated into WebCT. While the original d+ project is finished, the tool addresses real needs around resource discovery.
The European Data Science Academy (EDSA) aims to establish a community of educators, learners, practitioners and policy makers on data science. EDSA will develop modular and multilingual curriculum and courses on data science topics like foundations, storage/processing, analysis, interpretation and use. Courses will be delivered through video lectures, MOOCs, eBooks and professional training. EDSA will also conduct surveys and interviews to understand skills demand and track trends through a dashboard analyzing job openings and skills across Europe.
Learning Analytics: Trends and Issues of the Empirical Research of the Years ...Ralf Klamma
This document summarizes the findings of a study analyzing empirical learning analytics research from 2011-2014. The study found that most research examined log data from university students to visualize learning trajectories and predict success or failure. However, some innovative studies looked at informal learning communities, video/audio data, automated assessment, and error diagnosis. The document recommends that future learning analytics research incorporate more educational and psychological theories for a deeper understanding of the issues.
The document outlines the curriculum and self-study courses developed by EDSA. It includes the following key points:
- The curriculum covers foundational topics, storage/processing, analysis, and interpretation/use of data science. It is delivered through video lectures, MOOCs, eBooks, and other online learning formats.
- Self-study courses are offered on topics like foundations of big data, distributed computing, and machine learning. MOOCs are also developed on the FutureLearn platform.
- The curriculum is regularly updated, with new topics like statistical foundations and data management planned for future iterations.
- Courses are tagged with skills and targeted towards different learner groups like statisticians, analysts
Paul Seiler: Eportfolios for ULearn 2010 workshopNick Rate
The document discusses digital learning tools and content that can support a managed learning environment (MLE). It mentions that every school already has an MLE and lists guiding attributes. It also explores using the learning management system (LMS) as a central hub and investing in the eportfolio tool Mahara for students year 7 and up. Schools are encouraged to start using MyPortfolio and register for Mahara taster sessions.
This document proposes a pairwise reputation mechanism (PWRM) to rank learning resources in MOOCs. It discusses challenges with existing reputation mechanisms, like lack of accuracy with numerical ratings. The PWRM gathers opinions by having users compare resources in pairs, rather than rate them individually. It formalizes a MOOC model with users, resources, who uploaded/used each resource. The PWRM aims to build rankings of resources within a MOOC by aggregating users' pairwise opinions into a live representation. It concludes clustering resources by type or metadata could aid the selection process.
This document discusses MOOCs and learning analytics. It provides an overview of MOOCs, including their characteristics and growth. It also discusses learning analytics, defining it as measuring data about learners and contexts to optimize learning. Various learning analytics methods and applications are outlined, including at the EDSA and OU. The OU's Analyse tool for early identification of at-risk students using machine learning is also summarized.
The document discusses analyzing demand for data science skills across Europe. It outlines current data sources like job postings, surveys, and interviews used to evaluate the current state and make predictions. The analysis identifies gaps in data science training to inform curriculum development. Visual dashboards track job postings by country, city, and required skills to understand demand trends across EU countries.
Delivering Linked Data Training to Data Science PractitionersMarin Dimitrov
Ontotext has provided Linked Data trainings to practitioners from various organizations to educate them on Linked Data and Semantic Web topics. They have learned that trainings need to (1) accommodate mixed audiences with different backgrounds and expertise, (2) use language tailored to each audience, and (3) strike a balance between theoretical foundations and practical applications. Ontotext also developed the EUCLID social media monitoring platform to identify trending topics in Linked Data for extending their training curriculum. The platform integrates and analyzes data from various social media sources to extract topics and visualize analytics.
This document discusses e-learning and the need for a new learning architecture to deliver optimal competence and performance for students and teachers. It outlines new tools for e-learning like digital media, learning management software, and authoring tools. A mixed-mode approach is proposed using limited contact hours combined with web-based learning. Cost estimates are provided for implementing an e-learning program. Financial support options are mentioned, and the eDILEMA project aims to create a Digital Library of Learning Objects with standardized metadata. Evaluation criteria for online courses are listed to encourage cooperation among universities.
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for...eMadrid network
2015 03 19 (EDUCON2015) eMadrid UPM Towards a Learning Analytics Approach for Supporting discovery and reuse of OER. An approach based on Social Networks Analysis and Linked Open Data
The document summarizes the research data management program at the University of Edinburgh. It discusses the services provided, including a data management planning tool, a data repository for publication and preservation, and a data storage system. Training and support are also offered to help researchers with best practices in organizing, documenting, sharing, and preserving their research data over its entire lifecycle. The program aims to implement the University's research data policy and support funder requirements by establishing these research data management services.
Yjs: A Framework for Near Real-time P2P Shared Editing on Arbitrary Data TypesNicolaescu Petru
Demo poster for our near real-time collaboration framework, Yjs at the International Conference for Web Engineering 2015 (ICWE15). Find out more information at http://y-js.org
Requirements Bazaar - Meet your Users on the WebIstvanKoren
The document discusses the Requirements Bazaar, an online tool that allows end users to submit ideas and requirements that can then be accessed by open source software developers. It aims to help innovative end-user ideas reach developers by providing a more user-friendly interface compared to traditional requirements engineering tools. The Requirements Bazaar website integrates directly into software development workspaces to streamline the process of gathering and implementing user requirements.
Research in to Practice: Building and implementing learning analytics at TribalLACE Project
Keynote by Chris Ballard, Data Scientist, Tribal, given at the LACE SoLAR Flare event held at The Open University, Milton Keynes, UK on 9 October 2015. #LACEflare
In this Lightning Talk we want to present “Requirements Bazaar 2.0” that aims to be a social continuous innovation platform to bring developers and end-users together. In years of research we have developed and actually operated an open innovation platform for gathering requirements for prototypes in large international academic projects. The last version of the current product is available under http://requirements-bazaar.org . End-users can enter their requirements by providing short descriptions including user stories, screenshots and other images. The requirements can then be shared amongst its users. On the other side of the chain, developers may take up ideas and transfer the accepted requirements to an issue system like JIRA.
Over the last years it turned out that people want more lightweight and mobile-friendly tools; we found the old monolithic system to be very hard to maintain to add new features. Therefore we are currently redeveloping it from scratch integrating many ideas from our users and incorporating new research findings. We are further driven by a mobile-first approach to support a wide variety of devices. We additionally want to support various social features like sharing on social networks or blogs and allowing discussions and rating amongst end-users and developers.
At FOSDEM we would like to encourage open source developers in rethinking the way requirements are currently gathered from the crowd. How do we want to collect new software ideas or simply feature requests from our users. Will it really be through feedback forms in our apps’ “About” menu? Do our users really think in terms of issues like we developers do? How can gamification be used to reward actual end-users of software? We hope Requirements Bazaar can answer these questions and fill the gap!
Requirements Bazaar: Experiences, Added Value & Acceptance of Requirements Ne...Dominik Renzel
This document discusses the Requirements Bazaar, a system for facilitating requirements negotiation between end users and open source software (OSS) developers. It aims to leverage information and communication technologies (ICT) to better engage these communities. The Requirements Bazaar incorporates a co-creation workflow, integrates requirements negotiation into existing developer and user processes, and provides tools for requirements elicitation, negotiation and prioritization. Since launching in 2013, it has involved 171 participants handling 208 requirements. Current work involves redesigning the system based on experiences, using new technologies like microservices and DevOps practices. Future work will explore integrating it further into extended software development lifecycles.
SeViAnno 2.0: Web-Enabled CollaborativeSemantic Video Annotation Beyond the ...Nicolaescu Petru
This document discusses SeViAnno 2.0, a web-enabled collaborative semantic video annotation system. It presents the motivation and background of multimedia annotation tools. SeViAnno 2.0 has a 3-tier architecture that is cloud-enabled, scalable, and allows rapid development. It utilizes multimedia metadata web services and a user interface for collaborative tagging. Near real-time collaboration is supported through data structure dependencies and update propagation protocols. Future work includes developing a WebRTC infrastructure and operational transformation algorithms for distributed collaborative semantic annotations.
EC-TEL 2016: Which Algorithms Suit Which Learning Environments?Simone Kopeinik
The document summarizes a comparative study of recommender systems in technology-enhanced learning (TEL). It compares the performance of various recommendation algorithms (e.g. most popular, collaborative filtering) on six TEL datasets. The results show that algorithm performance depends strongly on dataset characteristics, with the number of users per resource being crucial. A hybrid approach combining cognitive and popularity methods worked best for tag recommendations.
Analysis of Overlapping Communities in Signed Complex NetworksMohsen Shahriari
Analysis of overlapping communities in signed complex networks; this paper compares three overlapping community detection algorithms in networks with both positive and negative connections.
Contextualized versus Structural Overlapping Communities in Social Media. Mohsen Shahriari
This slide deck summarizes research on detecting overlapping community structures in social media networks. It discusses challenges in detecting contextualized overlapping communities based on post content. The key research questions are how structural community detection is affected by adding contextual similarities between users, and whether combining content and structure can improve detection performance. Several baseline structural detection algorithms are described, including DMID, SLPA, SSK, and CLIZZ. The presentation then proposes two content-based detection methods, CFOCA and TCMA, and combining content and structural values.
DireWolf - Distributing and Migrating User Interfaces for Widget-based Web Ap...Nicolaescu Petru
Poster for our paper: D. Kovachev, D. Renzel, P. Nicolaescu, R. Klamma, „DireWolf – Distributing and Migrating User Interfaces for Web Widget Applications”. In Proceedings of the 13th International Conference on Web Engineering, Aalborg, Denmark, July 8-12, 2013. Springer Lecture Notes in Computer Science 2013
A Community Information System for Ubiquitous Informal Learning SupportNicolaescu Petru
This document discusses the Learning Layers project which aims to support ubiquitous informal learning through near-real time collaborative multimedia annotation on mobile devices and computers. The project is developing a community information system with a 3-tier cloud-enabled architecture to allow seamless user interaction across platforms for tagging videos created in the workplace to support learning. The system will monitor how the annotation tools are used in communities of practice to understand learning and improve the quality of annotations over time. The goals are to scale up support for informal learning in industry clusters through open web services and mobile/web interfaces.
DireWolf Goes Pack Hunting: A Peer-to-Peer Approach for Secure Low Latency Wi...IstvanKoren
Widget-based Web applications are outperforming monolithic Web applications in terms of distribution of the user interface on many devices and many standard browsers. However, latency of the remote inter-widget communication may be an obstacle for the uptake of Widget-based Web applications in near real-time domains like Web gaming and augmented reality. In this demo paper we show DireWolf 2.0 which is replacing the XMPP server of the DireWolf approach by a client-side relay realized by the means of WebRTC. This is not only decreasing the latency of the distributed interface for any application but also increasing the security by avoiding man-in-the-middle attacks on the XMPP server. This progress is enabling further uptake in Widget-based solutions in advanced Web engineering.
View Based Near Real Time Collaborative Modeling for Information Systems Engi...Nicolaescu Petru
Near real-time collaborative modeling using views and viewpoints, realized using our SyncMeta framework. We support the definition of arbitrary viewpoints and the generation of multiple and arbitrary views on a model, using a metamodel to model instantiation.
DireWolf - Distributing and Migrating User Interfaces for Widget-based Web Ap...Dejan Kovachev
Web applications have overcome traditional desktop applications especially in collaborative settings. However, the bulk of Web applications still follow the "single user on a single device" computing model. Therefore, we created the DireWolf framework for rich Web applications with distributed user interfaces (DUIs) over a federation of heterogeneous commodity devices supporting modern Web browsers such as laptops, smart phones and tablet computers.
The DUIs are based on widget technology coupled with cross-platform inter-widget communication and seamless session mobility. Inter-widget communication technologies connect the widgets and enable real-time collaborative applications as well as runtime migration in our framework. We show that the DireWolf framework facilitates the use case of collaborative semantic video annotation. For a single user it provides more flexible control over different parts of an application by enabling the simultaneous use of smart phones, tablets and computers. The work presented opens the way for creating distributed Web applications which can access device specific functionalities such as multi-touch, text input, etc. in a federated and usable manner.
DireWolf: http://dbis.rwth-aachen.de/cms/projects/the-xmpp-experience/direwolf/
Presented at ICWE 2013: http://icwe2013.webengineering.org/
Learning analytics is the measurement, collection, analysis and reporting of student data to understand and optimize the learning process. Visualization of data plays an important role in learning analytics by making patterns in the data clear. Examples discussed include tools that analyze data from sources like LMS systems and instructor grades to provide students and teachers insights. Both educational data mining and information visualization approaches were presented as ways to apply learning analytics. The role of teachers in learning analytics was also discussed.
European Perspectives on Learning Analytics: LAK15 LACE panelLACE Project
The document provides an overview of learning analytics work in Europe from several countries including Estonia, the Netherlands, and France. In Estonia, key initiatives discussed include the educational cloud and eDidaktikum teacher learning environment which incorporate learning analytics dashboards. In the Netherlands, the focus is on collaboration between universities, Apereo, and SURF. In France, recent and current national projects exploring learning analytics are highlighted such as Péricles and Hubble. The document concludes with an overview of the goals of the LACE project which aims to build bridges between learning analytics research, policy, and practice across Europe.
This presentation was given by Peter Karlberg of the National Agency for Education (Skolverket) of Sweden at the GCES Conference on Education Governance: The Role of Data in Tallinn on 13 February during the afternoon session workshop on Learning Analytics.
Five short presentations from a panel session at the Learning Analytics and Knowledge Conference 2015, on the topic of "Learning Analytics - European Perspectives", held at Marist College, Poughkeepsie on March 18th 2015. The speakers are: Rebecca Ferguson, Alejandra Martinz Mones, Kairit Tammets, Alan Berg, Anne Boyer, and Adam Cooper.
This document summarizes a presentation about using ePortfolios in schools. It discusses why schools should use ePortfolios, provides an overview of the Mahara ePortfolio platform, and looks at examples of how Mahara has been used for learning, professional development, and career planning. It also outlines future developments for Mahara, such as adding open badges and new plugins, and discusses next steps for adopting Mahara in Alberta schools.
This document discusses learning analytics (LA) and Kairit Tammets' involvement in various LA projects and initiatives. It summarizes Tammets' participation in the LACE project, the Learning Analytics Summer Institute in Utrecht, and the Open Learning Analytics Network summit. It also outlines Tammets' interests in non-obvious LA techniques, MOOC analytics, user data control, and integrating LA into policy and research. The document concludes by discussing potential next steps for LA in Estonia, such as starting a national interest group, hosting an LA summer institute, implementing LA in projects like eDidaktikum, and initiating policy discussions.
Using learning analytics to support applied research and innovation in higher...Julià Minguillón
The document discusses how the eLearn Center (eLC) at the Open University of Catalonia (UOC) uses learning analytics to support research and innovation in higher education. The eLC collects and analyzes data from UOC's online platform to gain insights into student learning and identify areas for improvement. It has established a data mart to integrate information from different systems and provide three levels of access. Current work includes raising awareness of learning analytics, developing more indicators and dashboards, and positioning UOC as a leader in the field through projects and research opportunities.
The document discusses requirements for learning analytics based on a lecture and workshop at East China Normal University. It begins with introductions and then outlines the day's plan to discuss definitions of analytics, actors in learning analytics, framework models, and requirements. It emphasizes starting with pedagogy and poses questions about what data is available and how to build trust. Ethical challenges are noted around data protection, privacy, transparency, and purpose. The goal is to use analytics to facilitate learning while avoiding instructivist approaches and stress for learners.
The document discusses several open learning analytics initiatives:
1) Open Learning Analytics (OLA) which aims to create an open ecosystem around LA software, standards, models, content and transparency.
2) The LAMP program which seeks to develop open educational resources and curriculum around learning analytics through MOOCs and collaboration between universities.
3) Open learning about open learning analytics through the creation of MOOCs and graduate programs focused on LA.
4) The LACE project which works to develop an online community for sharing LA knowledge and connecting professionals.
5) Two open access journals focused on publishing LA research - the Journal of Learning Analytics and the Journal of Educational Data Mining.
3TU.Datacentrum and Data intelligence training for library staffEllen Verbakel
This document describes the development of a data intelligence training course for library staff by 3TU.Datacentrum and DANS. It discusses the investigation of training needs, design of course modules covering topics like data management and technical skills, and development of training materials. Feedback from participants indicated they appreciated discussions but wanted more practical information and use cases. The course was later expanded through cooperation and a new learning environment was designed to make it more interactive.
Learning Analytics: Realizing their Promise in the California State UniversityJohn Whitmer, Ed.D.
This document discusses learner analytics and how they are being used at California State University (CSU) campuses. It begins with an overview of the promise of learner analytics, including how they can provide insights into student behavior and performance. Examples of learner analytics tools are presented, including Signals and SNAPP. The document then shares three case studies from CSU campuses: one discusses how analytics were used to help a teacher and student at CSU Northridge, another reviews the GISMO analytics tool at CSU Northridge, and a final case study describes how Vista analytics were used in a course at CSU Dominguez Hills. The presentation concludes with a call to action around increasing analytics reporting capabilities.
The document provides guidelines for designing effective e-learning objects and asynchronous instruction. It discusses best practices from sources like the Association of College and Research Libraries (ACRL) and Project Information Literacy. These include establishing learning outcomes, developing content that limits cognitive load, and ensuring accessibility for all students regardless of location. The document then outlines steps for instructional design using the ADDIE model of analysis, design, development, implementation and evaluation. Examples are provided for each step, with a focus on incorporating principles of multimedia learning and usability testing.
Introduction to the Learning Analytics Data Sharing Workshop at EC-TEL 2014LACE Project
Slides presented by Adam Cooper to introduce the Learning Analytics Data Sharing Workshop held on the 16th September 2014 at EC-TEL Conference in Graz, Austria.
This document summarizes a presentation on learning analytics in MOOCs given at a data science and social research conference. It defines key terms like learning analytics and discusses challenges like the interdisciplinary nature of the field and its current state of infancy. It also examines how learning analytics can help with issues in MOOCs like effectiveness, business models, technology/pedagogy, and more. The EMMA project framework for learning analytics in MOOCs is presented, including its use of dashboards, the XAPI standard, and clustering/network analysis of learner data. Conclusions discuss pedagogical neutrality and future work.
Adaptive Navigation Support and Open Social Learner Modeling for PALPeter Brusilovsky
This presentation is an overview of Open Social Learner Modeling project. It presents Mastery Grids interface, distributed personalized learning architecture Aggregate, and smart content for Java, Python, and SQL
Materials for introduction to adaptive learning and learning analytics as well as efforts of interoperability standardization. This slides treats brief concept of adaptive learning, reference model of learning analytics, data APIs for learning analytics, and topic list of standardization community (ISO/IEC JTC1 SC36).
Advances in Learning Analytics and Educational Data Mining MehrnooshV
This presentation is about the state-of-the-art of Learning Analytics and Edicational Data Mining. It is presented by Mehrnoosh Vahdat as the introductory tutorial of Special Session 'Advances in Learning Analytics and Educational Data Mining' at ESANN 2015 conference.
Learning Analytics: New thinking supporting educational researchAndrew Deacon
Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts to understand and optimize learning. There are three approaches to analyzing educational data: psychometrics, educational data mining, and learning analytics. Learning analytics is being used to ask new questions by analyzing data from MOOCs and social media at both the micro and macro levels. While analytics can inform educational research, concerns remain about how it may change definitions of knowledge and reduce context.
The TagRec framework is an open-source toolkit for developing and evaluating tag-based recommender systems. It has been used in two large European research projects and 17 research papers. The framework includes datasets from social media sites, recommendation algorithms, evaluation metrics, and a modular architecture. Example applications demonstrated in the document include cognitive-inspired tag recommendations that apply the ACT-R memory model, and hashtag recommendations on Twitter integrating individual, social, and content-based signals.
This study evaluated the impact of semantic context cues on user acceptance of tag recommendations in collaborative versus individual tagging settings. It compared a context-unaware algorithm (MostPop) that recommends the most frequently used tags to a context-aware algorithm (3Layers) that incorporates categories. In an online study with university employees bookmarking resources, 3Layers had significantly higher user acceptance than MostPop in the collaborative setting, but there was no difference in the individual setting. This supports the hypothesis that semantic context cues have a greater impact on user acceptance in collaborative tagging scenarios.
1. Current tag recommendation algorithms are designed in a purely data-driven way and rely on dense/broad folksonomy structures, but most real-world folksonomies are sparse/narrow.
2. The authors investigate how cognitive processes like frequency, recency, and semantic context influence tag reuse based on the ACT-R cognitive architecture.
3. They develop a tag recommendation algorithm based on the ACT-R activation equation and show it outperforms other methods in narrow/broad folksonomies by overcoming the imbalance between recommendations and real folksonomies.
AFEL-REC: A Recommender System for Providing Learning Resource Recommendation...Dominik Kowald
In this paper, we present preliminary results of AFEL-REC, a recommender system for social learning environments. AFEL-REC is build upon a scalable software architecture to provide recommendations of learning resources in near real-time. Furthermore, AFEL-REC can cope with any kind of data that is present in social learning environments such as resource metadata, user interactions or social tags. We provide a preliminary evaluation of three recommendation use cases implemented in AFEL-REC and we find that utilizing social data in form of tags is helpful for not only improving recommendation accuracy but also coverage. This paper should be valuable for both researchers and practitioners interested in providing resource recommendations in social learning environments.
PhD defense presentation of Dominik Kowald: Modeling Activation Processes in Human Memory to Improve Tag Recommendations. Presented at Know-Center / Graz University of Technology (Austria)
Temporal Effects on Hashtag Reuse in TwitterDominik Kowald
Paper presentation @ WWW 2017 (Web Mining track)
Paper by Dominik Kowald, Subhash Pujari and Elisabeth Lex @ Know-Center and Graz University of Technology
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdfVALiNTRY360
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
For more info visit us https://valintry360.com/solutions/health-life-sciences
How Can Hiring A Mobile App Development Company Help Your Business Grow?ToXSL Technologies
ToXSL Technologies is an award-winning Mobile App Development Company in Dubai that helps businesses reshape their digital possibilities with custom app services. As a top app development company in Dubai, we offer highly engaging iOS & Android app solutions. https://rb.gy/necdnt
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
The Key to Digital Success_ A Comprehensive Guide to Continuous Testing Integ...kalichargn70th171
In today's business landscape, digital integration is ubiquitous, demanding swift innovation as a necessity rather than a luxury. In a fiercely competitive market with heightened customer expectations, the timely launch of flawless digital products is crucial for both acquisition and retention—any delay risks ceding market share to competitors.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
Preparing Non - Technical Founders for Engaging a Tech AgencyISH Technologies
Preparing non-technical founders before engaging a tech agency is crucial for the success of their projects. It starts with clearly defining their vision and goals, conducting thorough market research, and gaining a basic understanding of relevant technologies. Setting realistic expectations and preparing a detailed project brief are essential steps. Founders should select a tech agency with a proven track record and establish clear communication channels. Additionally, addressing legal and contractual considerations and planning for post-launch support are vital to ensure a smooth and successful collaboration. This preparation empowers non-technical founders to effectively communicate their needs and work seamlessly with their chosen tech agency.Visit our site to get more details about this. Contact us today www.ishtechnologies.com.au
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
Malibou Pitch Deck For Its €3M Seed Roundsjcobrien
French start-up Malibou raised a €3 million Seed Round to develop its payroll and human resources
management platform for VSEs and SMEs. The financing round was led by investors Breega, Y Combinator, and FCVC.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
14 th Edition of International conference on computer visionShulagnaSarkar2
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
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Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
Artificia Intellicence and XPath Extension Functions
The SSS as an Infrastructure for WP LA
1. http://Learning-Layers-eu
Learning Layers
Scaling up Technologies for Informal Learning in SME Clusters
Visualizing workplace learning data with
the SSS Dashboard
Adolfo Ruiz Calleja, Sebastian Dennerlein, Tobias Ley, Elisabeth Lex
Edinburgh, 25th April 2016
4. http://Learning-Layers-eu
Introduction: Workplace Learning
4
• Informal way of gaining knowledge
• Connected to the work processes
• Personal interest
• Lack of structure or guidance
...that’s way many traditional LA solutions cannot
be applied for workplace LA
Eraut, M. (2004) “Informal learning in the workplace“. Studies in continuing education, 26(2):247-273.
5. http://Learning-Layers-eu
Introduction
5
• Special focuss on learning theories
– Three metaphors for learning
• Flexible way of structuring data
– The Social Semantic Server
• Applications that make use of the data collected
– The SSS Dashboard
7. http://Learning-Layers-eu
Three metaphors for workplace
learning
7
• Knowledge acquisition
– Knowledge as something acquired by the learner
• Participation
– Learning happens by participating in a cultural
process
• Knowledge creation
– Collaborative and systematic development of
common objects of activity
Paavola, S. and Hakkarainen, K. (2005) “The knowledge creation metaphor -an emergent epistemological
approach to learning“. Science & Education 14(6) 535-557
8. http://Learning-Layers-eu
Three metaphors for workplace
learning
8
• The metaphor chosen has an impact on
– Data collected
– Data model
– Data management processes
– Applications
• Not much focus on learning creation to develop
LA applications
10. http://Learning-Layers-eu
Data collected by the SSS
10
• Professional teacher training course
• 10 students + 1 trainer
• Share bookmarks using Bookmarker
• Filter, find and cite bookmarks using Attacher
• 5 months training
17. http://Learning-Layers-eu
Experience using the SSS
Dashboard: Study design
17
• 1 teacher and 1 student used the SSS Dashboard
once the course was over
• 6 information retrieval tasks were proposed
– 2 based on each learning metaphor
• Example: “SSS should support the understanding of
emerging topics in the student community“
– Teacher: “Identify learning topics that are surprising for you“
– Student: “Find some learning topics you were not aware about“
• Data gathering: observation and interview
18. http://Learning-Layers-eu
Experience using the SSS
Dashboard: Results
18
• Both could accomplish the six tasks
• They considered they got relevant information
– Trainer understanding the learning process
– Learner discover learning artifacts
• Both users were familiar with the data
abstractions
– Problems with semantic social networks
• Tag cloud visualization was specially useful
20. http://Learning-Layers-eu
Conclusions
20
• First prototype of the SSS Dashboard
• Usable and useful for trainers and learners
– Specially to understand learning following the
knowledge creation metaphor
– It was easy to learn how to use the SSS Dashboard
• A flexible and quite complex data structure is
needed
21. http://Learning-Layers-eu
Learning Layers
Scaling up Technologies for Informal Learning in SME Clusters
Visualizing workplace learning data with
the SSS Dashboard
Adolfo Ruiz Calleja, Sebastian Dennerlein, Tobias Ley, Elisabeth Lex