The Second International Conference on E- Learning and E- Technologies in
Education (ICEEE2013)
Lodz University of Technology, Lodz, Poland
Sept. 23- 25, 2013
www.sdiwc.net
The ICEEE 2013 is technically co-sponsored by IEEE Poland and All papers
will be submitted to IEEE for potential inclusion to IEEE Xplore
========================================================================
The proposed conference on the above theme will be held at Lodz University
of Technology, Lodz, Poland from Sept. 23- 25, 2013 which aims to enable
researchers build connections between different digital applications.
The conference welcomes papers on the following (but not limited to)
research topics:
- Intelligent Tutoring Systems
- Security Aspects
- Immersive Learning
- Computer-Aided Assessment
- Collaborative Learning
- Errors in E-Learning
- Community Building
- Accessibility to Disabled Users
- Context Dependent Learning
- E-Learning Platforms, Portals
- Mobile Learning (M-learning)
- Learning Organization
- Standards and Interoperability
- Virtual Labs and Virtual Classrooms
- Digital Libraries for E-Learning
- Joint Degrees
- Web- based Learning, Wikis and Blogs
- Authoring Tools and Content Development
- Synchronous and Asynchronous Learning
- Medical Applications
- E- Learning Hardware and Software
- AV- Communication and Multimedia
- Ontologies and Meta- Data Standards
- Simulated Communities and Online Mentoring
- E- Testing and new Test Theories
- Supervising and Managing Student Projects
- Distance Education
- Pedagogy Enhancement with E-Learning
- Metrics and Performance Measurement
- Assessment Methods in Blended Learning Environments
- Assessment and Accreditation of Courses and Institutions
- Course Design and E-Learning Curriculae
- Lifelong Learning: Continuing Professional Training and Development
- Theoretical Bases of E-Learning Environments
- International Partnerships in Teaching
- Distance and E-Learning in a Global Context
- Cooperation with Industry in Teaching
- Higher Education vs. Vocational Training
- Critical Success Factors in Distance Learning
- Technology Enhanced Learning
- Interdisciplinary Programs for Distance Education
- Impact and Achievements of International Initiatives
- Technology Support for Pervasive Learning
- E-learning in Electrical, Mechanical, Civil and information engineering
- Groupware Tools
- Educating the Educators
- Blended Learning
- Assessment Software Tools
- Teacher Evaluation
- E-Learning Success Cases
Researchers are encouraged to submit their work electronically. All papers
will be fully refereed by a minimum
of two specialized referees. Before final acceptance, all referees
comments must be considered.
Important Dates
==============
Submission Date : August 15, 2013
Notification of acceptance: September 05, 2013
Camera Ready submission : September 15, 2013
Registration : On or before September 15, 2013
Conference dates : September 23- 25, 2013
IEEE TECHNICALLY CO-SPONSORED ICEEE2013 CALL FOR PAPERS AND PARTICIPATION
Name: The Second International Conference on E-Learning and E-Technologies
in Education (ICEEE2013)
Venue: Lodz University of Technology, Lodz, Poland
Dates: September 23-25, 2013
URL: http://goo.gl/SczaU
Objective: The main objective of this conference is to provide a medium
for professionals, engineers, academicians, scientists, and researchers
from all over the world to present the result of their research activities
in the field of Computer Science, Engineering and Information Technology
Topics include, but not limited to:
- Security Aspects
- Computer-Aided Assessment
- Errors in E-Learning
- Accessibility to Disabled Users
- E-Learning Platforms, Portals
- Learning Organization
- Virtual Labs and Virtual Classrooms
- Joint Degrees
- Authoring Tools and Content Development
- Medical Applications
- Intelligent Tutoring Systems
- Immerse Learning
- Collaborative Learning
- Community Building
- Context Dependent Learning
- Mobile Learning (M-learning)
- Standards and Interoperability
- Digital Libraries for E-Learning
- Web-based Learning, Wikis and Blogs
- Synchronous and Asynchronous Learning
- E-Learning Hardware and Software
- Ontology and Meta-Data Standards
- E-Testing and new Test Theories
- Distance Education
All accepted papers will be submitted to IEEE for potential inclusion to
IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.
Extended Submission Deadline: August 15, 2013
Registration: On or before September 15, 2013
Hi all;
I'm starting a new project, a wiki search engine. It uses MediaWiki,
Semantic MediaWiki and other minor extensions, and some tricky templates
and bots.
I remember Wikia Search and how it failed. It had the mini-article thingy
for the introduction, and then a lot of links compiled by a crawler. Also
something similar to a social network.
My project idea (which still needs a cool name) is different. Althought it
uses an introduction and images copied from Wikipedia, and some links from
the "External links" sections, it is only a start. The purpose is that
community adds, removes and orders the results for each term, and creates
redirects for similar terms to avoid duplicates.
Why this? I think that Google PageRank isn't enough. It is frequently
abused by farmlinks, SEOs and other people trying to put their websites
above.
Search "Shakira" in Google for example. You see 1) Official site, 2)
Wikipedia 3) Twitter 4) Facebook, then some videos, some news, some images,
Myspace. It wastes 3 or more results in obvious nice sites (WP, TW, FB).
The wiki search engine puts these sites in the top, and an introduction and
related terms, leaving all the space below to not so obvious but
interesting websites. Also, if you search for "semantic queries" like
"right-wing newspapers" in Google, you won't find real newspapers but
"people and sites discussing about ring-wing newspapers". Or latex and
LaTeX being shown in the same results pages. These issues can be resolved
with disambiguation result pages.
How we choose which results are above or below? The rules are not fully
designed yet, but we can put official sites in the first place, then .gov
or .edu domains which are important ones, and later unofficial websites,
blogs, giving priority to local language, etc. And reaching consensus.
We can control aggresive spam with spam blacklists, semi-protect or protect
highly visible pages, and use bots or tools to check changes.
It obviously has a CC BY-SA license and results can be exported. I think
that this approach is the opposite to Google today.
For weird queries like "Albert Einstein birthplace" we can redirect to the
most obvious results page (in this case Albert Einstein) using a hand-made
redirect or by software (some little change in MediaWiki).
You can check a pretty alpha version here http://www.todogratix.es (only
Spanish by now sorry) which I'm feeding with some bots.
I think that it is an interesting experiment. I'm open to your questions
and feedback.
Regards,
emijrp
--
Emilio J. Rodríguez-Posada. E-mail: emijrp AT gmail DOT com
Pre-doctoral student at the University of Cádiz (Spain)
Projects: AVBOT <http://code.google.com/p/avbot/> |
StatMediaWiki<http://statmediawiki.forja.rediris.es>
| WikiEvidens <http://code.google.com/p/wikievidens/> |
WikiPapers<http://wikipapers.referata.com>
| WikiTeam <http://code.google.com/p/wikiteam/>
Personal website: https://sites.google.com/site/emijrp/
Hi,
I posted research about the factors that may impact English Wikipedia Did
You Know article traffic on the day. Because the research is a bit long,
a copy of it can be found at
http://meta.wikimedia.org/wiki/Research:Anatomy_of_English_Wikipedia_Did_Yo…
Summary: This research examines the traffic of 544 English Wikipedia Did
You Knows to try to determine which variables play a role in the
determining the number of page views an article will get on the day. It
largely concludes that the number of dependent and independent variables
make it to difficult to isolate specific reasons why one type of article
performs better than another, though there are some general time and topics
that will likely result in greater views.
Any feedback is appreciated either here, on the research talk page or
privately.
Sincerely,
Laura Hale
--
twitter: purplepopple
blog: ozziesport.com
The May 2013 issue of the Wikimedia Research Newsletter is out:
https://meta.wikimedia.org/wiki/Research:Newsletter/2013/May
In this issue:
• 1 Motivations to contribute to the Persian Wikipedia
• 2 Science eight times more popular on the Spanish Wikipedia than on the English Wikipedia?
• 3 In brief
• Winning and losing argument patterns in deletion debates
• Why English Wikinews rejects submissions
• Wikipedia as a discussion forum for Malaysian students
• Using Wikipedia to predict the stock market
• Main NPOV concerns in articles about corporations: Promotional language and inclusion of criticism
• "Gangnam Style" pageview trends
• 4 References
••• 9 publications were covered in this issue •••
Thanks to: Piotr Konieczny, Aaron Halfaker, Taha Yasseri, Daniel Mietchen for contributing
Dario Taraborelli and Tilman Bayer
--
Wikimedia Research Newsletter
https://meta.wikimedia.org/wiki/Research:Newsletter/
* Follow us on Twitter/Identi.ca: @WikiResearch
* Receive this newsletter by mail: https://lists.wikimedia.org/mailman/listinfo/research-newsletter
* Subscribe to the RSS feed: http://blog.wikimedia.org/c/research-2/wikimedia-research-newsletter/feed/
Quoting from https://blog.wikimedia.org/2013/07/30/listen-to-wikipedia/:
Listen to Wikipedia
is a visual and audio illustration of live editing activity on
Wikipedia. Tune your headphones or speakers accordingly and enjoy the
sound of people writing the free online encyclopedia.
Listen to Wikipedia creates sounds and circles based on a
real-time feed of contributions to Wikipedia articles. The pitch of the
note corresponds to the size of the edit — a bigger change makes a
deeper note and a larger circle. A bell indicates when content is added
to the encyclopedia and a string sound indicates when content is
removed. Edits by unregistered contributors are marked with green
circles and edits by automated bots are marked with purple circles.
Occasionally, you may hear a chord welcoming the newest user who
registers and joins the project.
Go ahead, make some noise by editing Wikipedia!
This project is a follow up to the Recent Changes Map visualization, which displays edits by unregistered users around the world. Both the Recent Changes Map and Listen to Wikipedia are based on Wikipedia’s live public data feed. Source code and additional information about this project are available on github. Listen to Wikipedia was inspired by and partially based on Listen to Bitcoin by Maximillian Laumeister.
Stephen LaPorte and Mahmoud Hashemi
I recommend checking it out if you have a free minute.
Pine