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Technology in Interpretation Readings: Summary |
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It is imperative that students receive high quality training in computer
skills that will assist them in becoming more effective and efficient
interpreters. Interpretation
strives to connect the meanings of natural and cultural resources with
the interests of visitors. The
College of Natural Resources at UWSP has taught interpretation courses
for over 30 years. Through
the dedication and talent of instructors over the years, Stevens Point
has become one of the leading training intuitions in the country for
environmental education and interpretation. In the early 1980’s, very few businesses, schools, or homes owned a
personal computer. Today,
just 20 years later, computers have revolutionized the way people work
and play. They have become
intertwined with all facets of life, and the interpretation profession
is no exception. Interpreters
are using computers to create multimedia exhibits, present illustrated
talks, design sign panels, posters, and other presentations, and
manipulate graphics, sound, and videos.
These tools provide interpreters with opportunities to be more
effective in their profession, as long as they can overcome the
limitations that are part of any new technology.
Since the beginning of the Computer Revolution, educators have been trying
to standardize computer skills training in the schools.
Unfortunately, national standards have yet to be accepted, and
students are entering college without the basic computing skills
necessary to succeed. The
Interpretive Technology Project will strive to fill in this gap of
knowledge, focusing on skills directly related to the interpretive
profession. At the same
time, it will encourage alternative types of learning for students that
have grown up in the Digital Age. To
analyze the success of the technology course modules, focus groups will
be used to determine students’ attitudes and perceptions toward the
training. Surveys will be
sent out to professional interpreters and supervisors to determine which
computing skills they deem to be most important.
The results of these analyses will be used to modify and improve
the interpretive technology modules in the future.
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| Introduction | ||||
| Related Readings | ||||
| Results | ||||
| Thesis | ||||
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For More Information, contact: Jim Buchholz Schmeeckle Reserve University of Wisconsin-Stevens Point (715) 346-4992 jbuchhol@uwsp.edu
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All pictures and text are copyrighted by Jim Buchholz, 2002. No part of this website may be duplicated without written permission of the author. | ||