Web based education as a result of AI supported classroom teaching

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2774 PART 2, Issue , 2003, Pages 290-296

  Friedland, Gerald ^a   Knipping, Lars ^a   Rojas, Raúl ^a   Tapia, Ernesto ^a  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DRAWING (GRAPHICS); EXPERT SYSTEMS; MULTIMEDIA SYSTEMS; PROJECT MANAGEMENT; STUDENTS; USER INTERFACES; WORLD WIDE WEB; ALGEBRA; CHARACTER RECOGNITION; EDUCATIONAL TECHNOLOGY; FUNCTIONS; KNOWLEDGE BASED SYSTEMS; TEACHING; WEBSITES;

CLASSROOM TEACHING; CLASSROON LECTURES; MULTIMEDIA ELEMENTS; PEN SENSITIVE DISPLAY; CLASSROOM LECTURE; COMPUTER ALGEBRA SYSTEMS; HANDWRITING RECOGNITION; MATHEMATICAL EXPRESSIONS; SYSTEM TRACKS; WEB BASED EDUCATION;

LEARNING SYSTEMS; E-LEARNING;

EID: 8344266042     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-45226-3_40     Document Type: Conference Paper

References (10)

1. B. J. Baar, A Cognitive Theory of Consciousness, Cambridge University Press, Cambridge, U.K., 1988.
2. G. Friedland, L. Knipping, R. Rojas, E-Chalk Technical Description, Technical Report B-02-11, Fachbereich Mathematik und Informatik, Freie Universität Berlin, May 2002.
3. G. Friedland, Towards a Generic Cross Platform Media Editor: An Editing Tool for E-Chalk, Proceedings of the fourth Informatiktage 2002,Gesellschaft für Informatik e.V., Bad Schussenried, November 2002.
4. J. Nielsen, Designing Web Usability, New Rider Publishing, Indianapolis 1999.
5. OSGi Service Platform Release 2, edited by OSGi, IOS Press, Amsterdam 2002.
6. J. C. Platt, Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. J. C. Burges, and A. J. Smola (eds.) Advances in Kernel Method Support Vector Learning, MIT Press, 185-208, Cambridge, MA, 1999.
7. E. Tapia, R. Rojas, Recognition of Handwritten Digits in the E-Chalk System using Support Vector Machines, Technical Report B-14/2002, Fachbereich Mathematik und Informatik, Freie Universität Berlin, 2002.
8. E. Tapia and R. Rojas, Recognition of On-line Handwritten Mathematical Formulas in the E-Chalk System, 7th International Conference on Document Analysis and Recognition (ICDAR), Edinburgh, August 2003.
9. V. Vapnik, Statistical Learning Theory, John Wiley & Sons, New York, 1998.
10. R. Zanibbi, D. Blostein, J. Cordy, Recognizing Mathematical Expressions Using Tree Transformation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002.