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CIMEL
is an acronym for Constructive, collaborative Inquiry-based Multimedia E-learning.
The
following project goals are slightly updated from our original proposal to the National Science
Foundation (submitted June 1, 2000 and granted October 1, 2000,
Grant # EIA-0087977):
- To
design a multimedia framework for constructive,
collaborative, inquiry-based learning, with multiple
tracks, for introductory and upper level computer science courses,
for students with diverse learning styles.
- To
design, implement and evaluate content in three areas representing
a cross-section of computer science curricula: a course introducing
computer science (CS0/CS1) and upper level or introductory graduate
level courses in Software Engineering (OOSE). The prototype contains a multimedia material
on Software Engineering plus material under development for the
introductory course. Material for the introductory course complements
a CS0/CS1 textbook under development, The Universal
Computer: Introducing Computer Science with Multimedia (2003,
available from the authors).
- To
design, implement and evaluate algorithms for text data mining that will assist students
and researchers in discovering emerging trends in topics germane
to the OOSE and PL courses. A reference librarian persona (agent)
will help students learn how to use a hot topics data mining engine.
- To
design, implement and evaluate a collaborative
user interface in which personae seamlessly connect students
to human instructors and librarians via networking technologies.
Definitions:
- Constructive learning goes beyond
learning by receiving knowledge, to learning by building systems,
with immediate, visual feedback.
- Collaborative learning encourages
students to interact with instructors and librarians, via both
live links and remote-controlled "show me" sessions or by reviewing
a multimedia FAQ of recorded "show me" sessions.
- Inquiry-based
learning guides the student into pursuing exploratory research
in a community of students and scholars.
- Text data mining algorithms perform
automatic analysis of textual information by partitioning collections
of text into topical knowledge domains. The approach traces these
topical domains over time to detect emerging trends in conceptual
content. 'Hot topics' detection will draw from high quality collections
of technical literature, such as Compendex and INSPEC.
- A collaborative
user interface will implement a protocol to track mouse pointer
position, mouse actions and interface events. If a human instructor
or librarian is not available, a corresponding persona will be
able to help the learner select from a library of "show me" tutorials.
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