Advanced Community Information Systems Group (ACIS) Annual Report 2013Ralf Klamma
Advanced Community Information Systems (ACIS)
Lehrstuhl Informatik 5 – Information Systems
RWTH Aachen University
Ahornstr. 55 | 52056 Aachen | Germany
SyncMeta: Near Real-time Collaborative Conceptual Modeling on the WebNicolaescu Petru
Framework for near real-time (meta) modeling on the Web. Permits the collaborative editing of meta models and the generation of near real-time collaborative modeling editors. It uses a visual modeling approach.
http://dbis.rwth-aachen.de/cms/research/ACIS/SyncMeta
Ralf Klamma
Advanced Community Information Systems (ACIS)RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de
Dresden, January 22, 2015
las2peer is a distributed, highly reliable and secure platform for creating community information systems and community services.
The main goal of las2peer is to provide a fast and flexible way to create services which may communicate with each other and their users through standard protocols. The used and stored information is handled in a trustworthy way and within full control of the communities.
Advanced Community Information Systems Group (ACIS) Annual Report 2013Ralf Klamma
Advanced Community Information Systems (ACIS)
Lehrstuhl Informatik 5 – Information Systems
RWTH Aachen University
Ahornstr. 55 | 52056 Aachen | Germany
SyncMeta: Near Real-time Collaborative Conceptual Modeling on the WebNicolaescu Petru
Framework for near real-time (meta) modeling on the Web. Permits the collaborative editing of meta models and the generation of near real-time collaborative modeling editors. It uses a visual modeling approach.
http://dbis.rwth-aachen.de/cms/research/ACIS/SyncMeta
Ralf Klamma
Advanced Community Information Systems (ACIS)RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de
Dresden, January 22, 2015
las2peer is a distributed, highly reliable and secure platform for creating community information systems and community services.
The main goal of las2peer is to provide a fast and flexible way to create services which may communicate with each other and their users through standard protocols. The used and stored information is handled in a trustworthy way and within full control of the communities.
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
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.
Scaling up digital learning support for smart workforce development in cluste...Ralf Klamma
4th Research Forum on Small and Medium Sized Enterprises, Chur, Switzerland, February 9-10, 2015
Ralf Klamma & Tobias Ley
RWTH Aachen University, Germany & Tallinn University, Estonia
klamma@dbis.rwth-aachen.de & tley@tlu.ee
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
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.
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.
Malaysia keynote "Ubiquitous Computing and Online Collaboration for Open Educ...Steve McCarty
"Ubiquitous Computing and Online Collaboration for Open Education." Keynote Address at the 5th International Malaysian Educational Technology Convention, Kuantan, Malaysia (17 October 2011).
Integrated Ubiquitous Computing - Designing Urban Space with Digital Media - ...Florian Resatsch
A presentation held at a lecture at the University of Debrecen, Hungary by me and Daniel Michelis. It shows basic principles of Ubiquitous Computing and potentially interesting applications.
Supporting Professional Communities in the Next Web Ralf Klamma
Keynote
PWM Wissenstag Social Enterprise @ I-KNOW 2013
Wednesday, September 4, 2013 in Graz (Austria)
Ralf Klamma
Advanced Community Information Systems (ACIS)
RWTH Aachen
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
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.
Scaling up digital learning support for smart workforce development in cluste...Ralf Klamma
4th Research Forum on Small and Medium Sized Enterprises, Chur, Switzerland, February 9-10, 2015
Ralf Klamma & Tobias Ley
RWTH Aachen University, Germany & Tallinn University, Estonia
klamma@dbis.rwth-aachen.de & tley@tlu.ee
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
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.
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.
Malaysia keynote "Ubiquitous Computing and Online Collaboration for Open Educ...Steve McCarty
"Ubiquitous Computing and Online Collaboration for Open Education." Keynote Address at the 5th International Malaysian Educational Technology Convention, Kuantan, Malaysia (17 October 2011).
Integrated Ubiquitous Computing - Designing Urban Space with Digital Media - ...Florian Resatsch
A presentation held at a lecture at the University of Debrecen, Hungary by me and Daniel Michelis. It shows basic principles of Ubiquitous Computing and potentially interesting applications.
Supporting Professional Communities in the Next Web Ralf Klamma
Keynote
PWM Wissenstag Social Enterprise @ I-KNOW 2013
Wednesday, September 4, 2013 in Graz (Austria)
Ralf Klamma
Advanced Community Information Systems (ACIS)
RWTH Aachen
CRAXweb: Automatic Exploit Generation for Web ApplicationsAung Thu Rha Hein
This is my first seminar presentation. The presentation is based on the core paper: CRAXweb: Automatic Web Application Testing and Attack Generation. If you are interested in this research area, other research methods of this research can be found at reference sections.
A short presentation about Distributed Hash Tables (DHT) p2p systems and how they cope with Network Address Translators (NAT).
The presentation aims at giving a bird-perspective of the subject, without entering too much into the details.
Data Driven DevOps: from Culture to GamificationBrian McCallion
Much is made about the Culture of DevOps. Yet how does an entire stadium of fans and players participate in a baseball game? If we know the Inning, the balls, the strikes, and Who's on First, if we know the rules of the game, and where the players are, then the game becomes a passion and our team improves. By surfacing the data and events of a Cloud DevOps solution we literally change the game.
Location Finding for blind People Using Voice Navigation Stick SeminarSanjana Vasu
The voice navigation stick used by the blind people makes use of Ultrasonic and IR sensors to detect obstacles, it also makes use of the GPS system to enhance navigation with the help of speakers, that enables the blind to be independent.
Presented at iOS Conf SG: http://iosconf.sg/
Most iPhone users don’t bother installing any apps per months. And worse, ~80% never use an app they’ve installed again. The future of mobile is clearly not app, but features. Features that make the iPhone ecosystem still a native experience, but as open and flexible as the web. Learn how you could prepare for that future.
Here blue brain technology is discussed .
The IBM is now developing a virtual brain known as the BLUE BRAIN , It would be the worlds first virtual brain.
‘Bubble Power’-the revolutionary new energy source. It is working under the principle of Sonofusion.Sonofusion involves tiny bubbles imploded by sound waves that can make hydrogen nuclei fuse and may one day become a revolutionary new energy source.
Community Learning Analytics - Challenges and Opportunities - ICWL 2013 Invit...Ralf Klamma
Community Learning Analytics –Challenges and Opportunities
Invited Talk ICWL 2013, Kensing, Taiwan, October 7, 2013
Ralf Klamma
Advanced Community Information Systems (ACIS)
RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de
Technical Challenges for Realizing Learning AnalyticsRalf Klamma
Technical Challenges for Realizing Learning Analytics
Learntec 2015, January 28, 2015, Karlsruhe, Germany,
Ralf Klamma
Advanced Community Informations Systems (ACIS) Group
RWTH Aachen University
Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AV...Niki Lambropoulos PhD
Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AVATAR
Niki Lambropoulos and Fintan Culwin presented at the Euro-CAT workshop in Barcelona 05/02/2010
Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AVA...EuroCAT CSCL
Tools and Evaluation Techniques to Support Social Awareness in CSCeL: The AVATAR
Niki Lambropoulos and Fintan Culwin presented at the Euro-CAT workshop in Barcelona 05/02/2010
Ascilite webinar series: http://www.ascilite.org.au/index.php?p=news_detail&item=240
A slightly different version of the Macquarie University keynote at http://www.slideshare.net/sbs/our-learning-analytics-are-our-pedagogy
I swapped out more general critiques of big data, for more detail on Dispositional and Discourse Learning Analytics
Education must capitalize on the trend within technology toward big data. New types of data are becoming available. From evidence approaches to xAPI and the whole Training and Learning Architecture(TLA) big data is the foundation of all.
Contextualization of Open Educational Resources in Asia and EuropeJan Pawlowski
The presentation shows current developments of OER in Europe and Asia - starting with barriers and analysis of the current status, we realized three case studies, looking at OER in Finland, Malaysia and Philippines. The results lead to 10 main recommendations to achieve successful, cross-border collaborations for learning and teaching using OER.
JISC RSC London Workshop - Learner analyticsJames Ballard
Introduction to learning analytics and approaches to learner engagement to raise awareness and set the seen for upcoming projects and advice for supported learning providers.
Similar to Community Learning Analytics – A New Research Field in TEL (20)
Gamification of Community Information SystemsRalf Klamma
SAGE Dissemination Workshop, Sousse, Tunesia, April 2017
Ralf Klamma, Mohammad Abduh Arifin
Advanced Community Information Systems (ACIS)RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de
The Legacy and the Future of Research Networks in Technology-Enhanced LearningRalf Klamma
Ralf Klamma
Orphée Rendevous 2017, Font Romeu, France
Advanced Community Information Systems (ACIS) RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de
Technology-Enhanced Learning at the Workplace – From islands of automation to...Ralf Klamma
Technology-Enhanced Learning at the Workplace – From islands of automation to broad deployment of informal learning in small and medium sized enterprises
Invited Talk - Siegen, January 20, 2015
Ralf Klamma, RWTH Aachen
Advanced Community Information Systems Group (ACIS)
Blueprint for Software Engineering in Technology Enhanced Learning ProjectsRalf Klamma
Blueprint for Software Engineering in Technology Enhanced Learning Projects
Ralf Klamma, Michael Derntl, István Koren, Petru Nicolaescu, Dominik Renzel
RWTH Aachen University Advanced Community Information Systems (ACIS) Aachen, Germany
klamma@dbis.rwth-aachen.de
9th European Conference on Technology Enhanced Learning (EC-TEL 2014)
September 18-21, 2014
Graz, Austria
Navigation Support in Evolving Communities by a Web-based DashboardRalf Klamma
Navigation Support in Evolving Communities by a Web-based Dashboard
10th IFIP WG 2.13 International Conference on Open Source Systems, OSS 2014, San José, Costa Rica, May 6-9, 2014
Anna Hannemann, KristjanLiiva, Ralf Klamma
RWTH Aachen UniversityAdvanced Community Information Systems (ACIS)
hannemann@dbis.rwth-aachen.de
Robust Expert Finding in Web-Based Community Information SystemsRalf Klamma
Robust Expert Finding in Web-Based Community Information Systems
Ralf Klamma
Advanced Community Information Systems (ACIS)RWTH Aachen University, Germany
EC-TEL 2013
8th European Conference on
Technology Enhanced Learning
“Scaling Up Learning for Sustained Impact”
17-21 September 2013, Paphos, Cyprus
Call for Sponsors
The Social Requirements Engineering (SRE) Approach to Developing a Large-scal...Ralf Klamma
The Social Requirements Engineering (SRE) Approach to Developing a Large-scale Personal Learning Environment Infrastructure
Effie Lai-Chong Law, Arunangsu Chatterjee, Dominik Renzel and Ralf Klamma
Department of Computer Science, University of Leicester, UK
Chair of Computer Science 5 - Information Systems, RWTH Aachen University, Germany
EC-TEL 2012, Saarbrücken, Germany
September 21, 2012
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Community Learning Analytics – A New Research Field in TEL
1. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
1
Learning
Layers
This slide deck is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.
Community Learning Analytics –
A New Research Field in TEL
Ralf Klamma
Advanced Community Information Systems (ACIS)
RWTH Aachen University, Germany
klamma@dbis.rwth-aachen.de
JTEL Summer School, Malta, April 28, 2014
2. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
2
Learning
Layers
Abstract
Learning Analytics has become a major research area recently. In
particular learning institutions seek ways to collect, manage, analyze
and exploit data from learners and instructors for the facilitation of
formal learning processes. However, in the world of informal learning at
the workplace, knowledge gained from formal learning analytics is only
applicable on a commodity level. Since professional communities
need learning support beyond this level, we need a deep understanding
of interactions between learners and other entities in community-
regulated learning processes - a conceptual extension of self-
regulated learning processes. In this presentation, we discuss scaling
challenges for community learning analytics and give both
conceptual and technical solutions. We report experiences from
ongoing research in this area, in particular from the two EU integrating
project ROLE (Responsive Open Learning Environments) and
Learning Layers (Scaling up Technologies for Informal Learning in
SME Clusters).
3. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
3
Learning
Layers
Responsive
Open
Community
Information
Systems
Community
Visualization
and
Simulation
Community
Analytics
Community
Support
WebAnalytics
WebEngineering
Advanced Community Information
Systems (ACIS) Group @ RWTH Aachen
Requirements
Engineering
4. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
4
Learning
Layers
Agenda
LearningAnalytics
CommunityLearningAnalytics
ROLE&LearningLayers
ExpertsinCommunityInformation
Systems
Conclusions&Outlook
6. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
6
Learning
Layers
Motivations for Doing
PhD Research in TEL
■ Some reasons (more?)
– My supervisor told me … (research interest of person paying me)
– My own research interest
– Good career perspectives (get famous, get rich, or both)
■ Formal Learning
– Close to my own practice and experience as a teacher, researcher
– Research settings easier to control (classroom as a lab)
■ Informal Learning
– Better funding opportunities (H2020, industry)
– More innovative (mobile, Web, micro, games)
– Real impact expected
8. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
8
Learning
Layers
Self- and Community Regulated
Learning Processes
Based on [Fruhmann, Nussbaumer & Albert, 2010]
Learner profile
information is
defined or
revised
Learner finds
and selects
learning
resources
Learner works
on selected
learning
resources
Learner reflects
and reacts on
strategies,
achievements
and usefulness
plan
learnreflect
The Horizon Report – 2011 Edition
9. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
9
Learning
Layers
The Long Tail of Personal Knowledge
in Lifelong Learning
■ Zillions of new learning opportunities
■ Abundance of learning materials
■ But: Extremely challenging to find & navigate
High-quality, specially designed,
learning materials like books or
course material
Gaps in personal knowledge
identified mostly by real-world
practice
10. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
10
Learning
Layers
Personal Learning Environment (PLE)
PLE describes the tools, communities, and services that constitute the
individual educational platforms learners use to direct their own learning and
pursue educational goals
LMS – course-centric vs. PLE – learner-centric:
• Extension of individual research
• Students in charge of their learning process
• self-direction, responsibility
• Promotes authentic learning (incorporating expert feedback)
• Student’s scholarly work + own critical reflection + the work and voice of
others
• Web 2.0 influence on educational process
• customizable portals/dashboards, iGoogle, My Yahoo!
• Learning is a collaborative exercise in collection, orchestration, remixing,
& integration of data into knowledge building
• Emphasis on metacognition in learning
11. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
11
Learning
Layers
ROLE Approach to the Design
of Learning Experiences
guidance &
freedom of
learner
motivation of
learner (intrinsic,
extrinsic)
stimulation of
learner’s meta-
cognition
collaboration &
good practice
sharing among
peers
personalization
& adaptability to
learner & context What is the impact of these
findings from behavioral &
cognitive psychology on
design of learning?
Goal setting
Planning
Reflection
Control & Responsibility
Recommendation
12. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
12
Learning
Layers
ROLE Approach to the Design
of Learning Experiences
What is the impact of these findings from behavioral & cognitive psychology on
design of Personal Learning Environments?
learner profile information
is defined and revised
learner finds and selects
learning resources
learner works on selected
learning resources
plan
learnreflect
learner input regarding
goals, preferences, …
creating PLE
recommendations
from peers or tutors
assessment and
self-assessment
evaluation and
self-evaluation
feedback
(from different sources)
learner should understand and
control own learning process
ROLE infrastructure should
provide adaptive guidance
attaining skills using different
learning events (8LEM)
learner reflects and reacts
on strategies, achievements,
and usefulness
monitoring
recommen-dations
be aware of
13. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
13
Learning
Layers
Learning Analytics vs. Community
Learning Analytics
Formal Learning Learning Analytics Community
Regulated
Learning
Community
Learning Analytics
Environment LMS EDM/VA CIS/ROLE DM/VA/SNA/Role
Mining
Tools Fixed LMS Specific Eco-System Tool Recommender
Activities Fixed Content
Recommender
Dynamic Content
Recommender /
Expert
Recommender
Goals Fixed Progress Dynamic Progess / Goal
Mining / Refinement
Communities Fixed Not applicable Dynamic (Overlapping)
Community
Detection
Use Cases Courses Learning Paths Peer Production /
Scaffolding
Semantic Networks
of Learners /
Annotations
15. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
15
Learning
Layers
Communities of Practice
■ Communities of practice (CoP) are groups of people
who share a concern or a passion for something they
do and who interact regularly to learn how to do it
better (Wenger, 1998)
■ Characterization of experts in CoP
– Shared competence in the domain
– Shared practice over time by interactions
– Expertise based on gaining and having reputation within the CoP
– Being an expert vs. being a layman, a newcomer, an amateur etc.
– Informal leadership
– Identity as an expert depends on the lifecycle of the communities
Expertise in highly dynamic, locally distributed multi-disciplinary
and heterogeneous communities?
16. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
16
Learning
Layers
Proposed Development of the
Community Learning Analytics Field
■ Will happen J Big Data by Digital Eco Systems (Quantitative Analysis)
– A plethora of targets (Small Birds)
– Professional Communities are distributed in a long tail
– Professional Communities use a digital eco system
– An arsenal of weapons (Big Guns)
– A growing number of community learning analytics methods
– Combined methods from machine intelligence and knowledge representation
■ May not happen L Deep Involvment with community
(Qualitative Analysis)
– Domain knowledge for sense making
– Passion for community and sense of belonging
– Community learns as a whole
→ Community Learning Analytics for the Community by the Community
17. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
17
Learning
Layers
Web 2.0 Competence Development
Cultural and Technological
Shift by Social Software
Impact on
Knowledge Work
Impact on
Professional
Communities
Web 1.0 Web 2.0 Microcontent
Providing
commentary
Personal knowledge
publishing
Establishing personal
networks
Testing Ideas
Social learning
Identifying competences
Emergent Collaboration
Trust & Social capital
personal
website and
content
management
blogging and
wikis
User generated
content
Participation
directories
(taxonomy)
and
stickiness
Tagging
("folksonomy")
and syndication
Ranking
Sense-making
Remixing
Aggregation
Embedding
Emergent Metadata
Collective intelligence
Wisdom of the Crowd
Collaborative Filtering
Visualizing Knowledge
Networks
18. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
18
Learning
Layers
Interdisciplinary Multidimensional
Model of Communities
■ Collection of CoP Digital Traces in a MediaBase
– Post-Mortem Crawlers
– Real-time, mobile, protocol-based (MobSOS)
– (Automatic) metadata generation by Social Network Analysis
■ Social Requirements Engineering with i* Framework
for defining goals and dependencies in CoP
Social Software
Cross-Media Social Network
Analysis on Wiki, Blog, Podcast,
IM, Chat, Email, Newsgroup, Chat
…
Web 2.0 Business
Processes (i*)
(Structural, Cross-media)
Members
(Social Network Analysis: Centrality,
Efficiency, Community Detection)
Network of Artifacts
Content Analysis on Microcontent, Blog entry, Message,
Burst, Thread, Comment, Conversation, Feedback (Rating)
Network of Members
Communities of practice
Media Networks
19. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
19
Learning
Layers
Community Learning Analytics
in CoP
■ User-to-Service Communication
• CoP-aware Usage Statistics
• Identification of successful CoP services
• Identification of CoP service usage patterns
■ User-to-User Communication
• CoP-aware Social Network Analysis
• Identification of influential CoP members
• Identification of CoP member interaction/learning patterns
+
20. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
20
Learning
Layers
Supporting Community Practice
with the MobSOS Success Model
23. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
23
Learning
Layers
Responsive Open Learning
Enviroments (ROLE) 2009-2012
• Empower the learner to build their
own responsive learning environment
ROLE Vision
• Awareness and reflection of own
learning process
Responsiveness
• Individually adapted composition of
personal learning environment
User-Centered
24. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
24
Learning
Layers
ROLE
Technical Infrastructure
■ Sucessfully deployed in industry and education
■ Open Source Software Development Kit
■ ROLE Widget Store (role-widgetstore.eu)
■ ROLE Sandbox (role-sandbox.eu)
26. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
26
Learning
Layers
ROLE Requirements Bazaar –
Community-aware Requirements Prioritization
Factors influencing
requirements ranking
User-controlled weighting
of ranking factors
Community-dependent
requirements ranking lists
http://requirements-bazaar.org
27. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
27
Learning
Layers
Learning Analytics Visualization –
Dashboards
1. Database Selection
2. Filter Selection/
Definition
3. Adapted Visualization
28. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
28
Learning
Layers
LEARNING LAYERS –
SCALING UP TECHNOLOGIES
FOR INFORMAL LEARNING IN
SME CLUSTERS
29. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
29
Learning
Layers
Maturing
Interacting with People at the
workplace
Paul discovers a problem at the
construction site with PLC equipment ...
Generating dynamic Learning
Material
The regional training center observes the
Q&A and links it to their course
material ...
Q: How to use PLC equipment …?
• I have seen this before here …
• Last time I did it, I …
• Here is something helpful
Social Semantic Layer
Emerging shared meaning,
giving context
Energy
Consump.on
Lightning
X3-‐PVQ
X3-‐PJC
X3-‐POZ
PLC
Equipment
Instructional Taxonomy
• What is …
• How to …
• Example of …
Tutorial: How to Use PLC
What is PLC
How to use it?
Examples
Further Information
Hot Questions and
Answers
Work Practice Taxonomy
• Installation
• Testing
• Operation
Peter
Paul
Mary
Interacting in the Physical
Workplace
Physical workplace is equipped with QR
tags, learning materials are delivered just
in time ...
A list of helpful resources
• Tutorials: How to use …
• Persons: Peter, Mary, …
• Work Practice: Installation,..
• Concepts: PLC, Lightning
• Q&A: …,
Learning Layers in the
Construction Industry
30. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
30
Learning
Layers
Learning Layers – Scaling Technologies for Informal Learning
Learning Layers – Scaling up Technologies for
Informal Learning in SME Clusters
31. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
31
Learning
Layers
Space (shared by multiple users)
Using the ROLE Framework for
Semantic Video Annotation
Web application (composed of widgets)
Widget (collaborative web
component)
http://role-sandbox.eu/
32. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
32
Learning
Layers
SeViAnno Prototypes
SeViAnno (Web)
SeViAnno 2.0 (Widgets)
AnViAnno (Android)
AchSo! (Android)
34. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
34
Learning
Layers
Experts in
Learning Communities
■ In learning communities
many experts from
different fields meet
– Intergenerational learning
– Interdisciplinary learning
■ New Openness for Amateur
Contributions
■ Methods, Tools & CoP
co-develop
– Expert role models needed
– Expert identification based
on complex media traces
35. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
35
Learning
Layers
YouTell - A Web 2.0 Service for
Collaborative Storytelling
§ Collaborative storytelling
§ Web 2.0 Service
§ Story search and
“pro-sumption”
§ Tagging
§ Ranking/Feedback
§ Expert finding
§ Recommending
Klamma, Cao, Jarke: Storytelling on the Web 2.0 as a New Means of Creating Arts
Handbook of Multimedia for Digital Entertainment and Arts, Springer, 2009
36. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
36
Learning
Layers
Expert Finding – Computation of
Actual Knowledge
■ Data vector consists of
– Personal data vector
– Competences, skills,
qualification profile
– Self-entered data
– Story data vector
– Visits of stories
– Involvement in projects
– Expert data vector
– Advice given
– Advice received
– Value = #Keywords – Date
Decay – Feedback
Motivation
PESE:
Web 2.0 –Anwen-
dung für community-
basiertes Storytelling
Der PESE-
Prototyp
Evaluierung des
Prototypen
Zusammen-
fassung
Ausblick
Find the most appropriate expert
Data vector represents knowledge of the expert
37. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
37
Learning
Layers
Knowledge-Dependent
Learning Behaviour in Communities
Renzel, Cao, Lottko, Klamma: Collaborative Video Annotation for Multimedia Sharing between Experts and Amateurs,
WISMA 2010, Barcelona, Spain, May 19-20, 2010
§ Expert finding algorithm: Knowledge value of community sorted by keywords
§ Community behavior: Experts spent more time on the services
§ Experts prefers semantic tags while amateurs uses “simple” tags frequently
§ Community tags: Experts use more precise tags
38. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
38
Learning
Layers
Threads to Expert Finding
■ Compromising techniques
— Sybil attack [Douc 2002], Reputation theft, Whitewashing attack, etc..
— Compromising the input and the output of the expert identification algorithm
■ Example: Sybil attacks
— Fundamental problem in open collaborative Web systems
— A malicious user creates many fake accounts (Sybils) which all reference the user to
boost his reputation (attacker’s goal is to be higher up in the rankings)
Sybil
region
Honest
region
ABack
edges
39. Lehrstuhl Informatik 5
(Information Systems)
Prof. Dr. M. Jarke
39
Learning
Layers
Conclusions & Outlook
■ Community Learning Analytics
– Informal learning more challenging for learning analytics
– New research challenges and funding opportunities
– Highly interdisciplinary and multi-method research
■ Case Studies
– Responsive Open Learning Environments
– ROLE SDK for Near Real-Time Widget-Based Web Applications
– Learning Layers - Scaling up Technologies for
Informal Learning in SME Clusters
– Informal Learning on the Workplace
– Collaborative Semantic Video Annotation