"SmexWeb: An Adaptive Web-Based
Hypermedia Teaching System
Florian Albrecht, Nora Koch, and Thomas Tiller
Ludwig-Maximilians-University of Munich
Institute of Computer Science
Oettingenstr 67, 80538 München
Germany
florian@fast.de
{albrechf, kochn, tiller}@informatik.uni-muenchen.de
http://www.pst.informatik.uni-muenchen.de/~kochn
A computer learning system that aims at being efficient and gratifying has to adapt itself
to the learner’s needs.
- SmexWeb (Student modelled exercising on the Web)(NL)
( http://pst1.pst.informatik.uni-muenchen.de:8080/
) as an adaptive hypermedia system
offers advantageous features of the hypermedia paradigm.
To take into account spatial and mental abilities of learners,
various techniques have been developed in the field of adaptive hypermedia. All of them,
adaptations of contents as well as all
kinds of adaptive navigational support, are integrated into SmexWeb. While those
techniques move the locus of control
towards the system, all action still has to be taken by the user. SmexWeb extends the
means of navigation further by taking
navigation actions for the user based on its student model. By employing a technique
called Passive Navigation, the level of the
system’s activity can vary subtly and can be adjusted to the user’s learning
preferenceses.
SmexWeb guarantees easy accessibility, as it is a web-based application that solely requires a standard web-browser. Partially
bypassing HTTP as a stateless protocol, SmexWeb enables a higher amount of user-system
interactivity than most web-based
learning environments. The Java server resembles a classical ITS
architecture; the modularity of the framework allows an easy
instantiation for future SmexWeb applications. First tests of a SmexWeb application with
students have shown that it is an
easy-to-use and effective learning environment."
See the full original at: http://www.aace.org/pubs/jilr/v11n3-4.htm
http://citl.tamu.edu/CPS-Tutor.htm
Intelligent Tutors: Computational Intelligence http://citl.tamu.edu/intelligent-tutors.htm
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"CITL Complex Problem-Solving Tutor Project (NL)
Goes to Washington -
The web-based complex problem-solving tutor project was discussed at the 1999 Department
of Defense and National Science Board hosted Science, Mathematics, and Engineering
Education
Leaders Conference, 3-5 November, in Arlington, Virginia.
The project was discussed as part of a panel presentation addressing successful high
school outreach programs. The3-year project by members of CITL, working with the South San
Antonio Independent
School District, uses intelligent tutoring systems technology to teach
complex problem-solving skills in mathematics to middle and high-school students. "
See the full original at:
http://citl.tamu.edu/
"The CITL utilizes cognitive technologies to provide innovative web-based approaches
for
improving learning and performance. Click on one of the options below to find out more
about these exciting aspects of cognition.
Cognitive Technologies
Foundations of Cognitive Science
Complexity of the Human Brain and the Emergence of Cognitive Science
Cognitive Task Analysis
Intelligent Tutors: Computational Intelligence
Complex Problem-Solving Tutor in Mathematics
The Human Brain & Cognitive Technologies (Shockwave movie) (Clicking on the link
will open a new browser window. Close it to return to the main page.)"
See the full original at: http://citl.tamu.edu/
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"Abrams, R. (2000). Meaningful Learning: A Collaborative Literature
Review of
Concept Mapping, Meaningful Learning Research Group, California Consortium for
Teacher Development, University of California, Santa Cruz, CA.
Aidman, E. and Egan, G. (1998). “Academic Assessment through Computerized
Concept Mapping: Validating a Method of Implicit Map Reconstruction.”
International Journal of Instructional Media 25(3): 277-294.
A study of 100 psychology undergraduates and two lecturers found that
- implicit concept maps can be accurately reconstructed
and
compared with measures obtained from domain experts and
- that implicit learner maps can be used to
identify individual differences in student knowledge.
Discusses future research and potential applications in
- quantitative assessment of conceptual knowledge.
Contains 48
references. (PEN)
Al-Kunifred, A. and Wandersee, J. (1990). “One Hundred References Related to
Concept Mapping.” Journal of Research in Science Teaching 27(10): 1069-1075.
"
See the full original at:
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also |
implicit concept maps
Academic Assessment through Computerized Concept Mapping:
Validating a Method of Implicit Map Reconstruction
© 1998 Eugene Aidman & Gerald Egan, University of Ballarat, AUSTRALIA
International Journal of Instructional Media, vol. 25 (3), 277-294.
http://www.ballarat.edu.au/~eaidman/cm96egan.htm
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Jón
Erlendsson (JE)
2001-04-07 (10.30)
TEL: WORK: 354-530.4666 354-530.4666
HOME: 354-565.2238
Email: joner@hi.is
Home Page HP
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