elearming systems on examples
DESCRIPTION
Almost every human must learn for success in their live and jobs. E-Learning is a way to support the hard learning and training process for people. I've shown some possible example in E-Learning systems and have shown some new ideas on Barcamp Mainz (http://www.barcampmainz.de/). Some Natural Language Processing (NLP) things were told too. In my opinion E-Learning will be the next big step in the Web for better user experience in learning.TRANSCRIPT
![Page 1: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/1.jpg)
eLearning systems on examples
Konstantin Filtschew @ Barcamp Mainz29.11.2009
![Page 2: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/2.jpg)
2
About me
Name: Konstantin Filtschew
Interested in: Innovation eLearning Systems Security in computer systems Software design New challenges ...
![Page 3: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/3.jpg)
3
Agenda
Motivation Definition eLearning Examples Natural Language Processing (NLP) Mobile learn experience Conclusion
![Page 4: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/4.jpg)
4
Do we need ”eLearning”?
Wissensgesellschaft
General Knowledge
Specific Knowdledge
Transfer of knowledge to the next generation
cp -r / remotebrain: # maybe in future
We can't stop learning!
![Page 5: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/5.jpg)
5
Definitions of eLearning
Internet-enabled learning that encompasses training, education, just-in-time information, and communication.(http://www.eng.wayne.edu/page.php?id=1263)
Any learning supported by digital means. (http://azelearning.org/glossary/3)
E-learning (or electronic learning or eLearning) encompasses forms of technology-enhanced learning (TEL) or very specific types of TEL such as online or Web-based learning. (http://en.wikipedia.org/wiki/E-learning)
eLearning kann verstanden werden als ein Lernprozess, der durch Informations- und Kommunikationstechnologie unterstützt wird(http://www.uni-hildesheim.de/de/9808.htm)
![Page 6: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/6.jpg)
6
Assistance through eLearning
People must try to get better user experience People must do exercises for better knowledge
and understanding
Some examples Vocabulary History Math Foreign languages
![Page 7: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/7.jpg)
7
Vocabulary Assistance
Vocabulary trainer Does the user really know the word?
Interactive trainer Enter vocabulary once
(semi automatic possible) Shows vocabulary randomly Shows/checks correct answer
instantly Can analyze time for answers Vocabulary Frequency
![Page 8: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/8.jpg)
8
History eLearning example (1)
We shouldn't try to replace books and paper Add interactive media (sound/video) Ineractive questions to text
Multiple choice Plain text answers (keyword NLP)
+
● Who was Cristopher Columbus?
● In which year he started his travel?
● Was it India he found on his first travel?
● ...
+ +
+
![Page 9: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/9.jpg)
9
History eLearning example (2)
We have some problems to solve first!
Many different books used People are lazy to search for more information
Need to reference the learners book, text and part
Need help to create tasks (NLP can help) Questions and multiple choice generation
Help: Google books scan project
![Page 10: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/10.jpg)
10
Math eLearning
Some examples: Gehirntraining
Math quizzes: X + 11 = 23 126 / X = 42 sqrt(169) = X
Motivation: Points (Challenge) Success experience Not the same exercises
![Page 11: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/11.jpg)
11
Foreign Language
Common difficulties in languages: Prepositions
Part of Speech Tagger or Parser Can recognize prepositions
Corpora Help identify wrong prepositions:
Check whether this combination is really wrong Common with left word of prepositions but not
with right and vice versa
Both Parties had much to offer ________ a time of growth in the region.
(a) in (b) at (c) about
![Page 12: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/12.jpg)
12
Interactive Tutor (1)
http://141.225.42.246/AutoTutorDemo/
![Page 13: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/13.jpg)
13
Interactive Tutor (2)
Natural Language Processing (NLP) Questions by tutor Answers in plain text Tutor helps to ...
find answer Helps to remember all important points
Problems: Still need to reference the lecture Not very ”human” in handling (no emotions)
![Page 14: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/14.jpg)
14
Natural Language Processing
NLP is a great help: Analyze Text and extract important information Can generate questions (almost automatic) Can analyze answers
Need: Corpora: digital texts Part of Speech Tagger and Parser A lot of computer power for given tasks Human control for results
![Page 15: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/15.jpg)
15
NLP: Corpora
We have a lot of digital text: Wikipedia (and other wikis) Blogs Google book scan
Problems: Common Speech (Umgangssrpache) Errors (Internet) slang → :) :/ ;) cu Ambiguity (Ambiguitäten)
![Page 16: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/16.jpg)
16
Part of Speech Tagger and Parser
Part of Speech (POS) Tagger (Wortart Tagger) Analyzes only words Not so precise (about 80-90%) Faster than parser
Parser Additionally to POS: sentence structure More precise (up to 96%) Sentence tree (word relations)
![Page 17: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/17.jpg)
17
Ambiguity
http://de.wikipedia.org/wiki/Mehrdeutigkeit
![Page 18: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/18.jpg)
18
Sentence Tree
From Phineas Q. Phlogiston, “Cartoon Theories of Linguistics, Part ж—The Trouble with NLP“, SpeculativeGrammarian, CLIII(4), March 2008
![Page 19: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/19.jpg)
19
Human control
Let people learn errors is a very bad learning experience
Wrong answers can be still right Computer can't decide about uncommon tasks /
questions / answers
Advantage: Automatic generation of tasks Teacher has only to check the
written tasks
![Page 20: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/20.jpg)
20
Digital Books / Newspapers
Add interactive tasks to common media Digital Books:
We can add additional information (Video/Audio) Add exercises and quizzes
Digital Newspapers: Schools can use for lessons (teacher selects) Teacher can create semi automatic tasks Advantage for newspapers: children learn to read
newspapers
![Page 21: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/21.jpg)
21
Mobile learn experience (1)
We have: Powerful mobile phones: IPhone / Android / … Book/Newspaper readers
(not yet open for extensions)
We have to travel Home → Work → Home Business travels Time slots for education
![Page 22: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/22.jpg)
22
Mobile learn experience (2)
Busy people use every free minute
Maybe you can't work, but you can learn
Allready in use as eLearning: Podcasts Video and audio tutorials Already filtered information
(Read it later add-on)
![Page 23: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/23.jpg)
23
Conclusion
We have a lot to learn We have to use our free time slots We allready use eLearning eLearning is at the very beginning
Politics say: Wissensgesellschaft
![Page 24: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/24.jpg)
24
Thank you for your attention
Questions?
[email protected] http://konstantin.filtschew.de/blog/ http://twitter.com/Fa11enAngel
![Page 25: eLearming Systems on examples](https://reader033.vdocument.in/reader033/viewer/2022052908/5594c1111a28ab99748b474c/html5/thumbnails/25.jpg)
25
Sources
http://upload.wikimedia.org/wikipedia/commons/6/6e/Latin_dictionary.jpg (GPL) //Books
http://media.photobucket.com/image/ship/MODELSHIPCONSTRUCTION/17Th%20Century%20Man-of-War/NewBritishShip.jpg //Ship
http://en.wikipedia.org/wiki/File:Ridolfo_Ghirlandaio_Columbus.jpg // Christopher Columbus
http://web.airgamer.de/fileadmin/airgamer/images/spiele/01-gehirntraining/ss_gehirntraining_01.png //Gehirntraining
http://upload.wikimedia.org/wikipedia/commons/3/38/Gregor_Reisch%2C_Margarita_Philosophica%2C_1508_%281230x1615%29.png // Gregor Reisch, Margarita Philosophica
http://openclipart.org/people/StefanvonHalenbach/StefanvonHalenbach_Teacher_L_mpel.png // Teacher
From Phineas Q. Phlogiston, “Cartoon Theories of Linguistics, Part ж—The Trouble with NLP“, Speculative Grammarian, CLIII(4), March 2008 // Pretty little girl