Special group 4:
Spreadsheets
ICTMT 5, Klagenfurt, 6-9 August 2001
(Schedule, tentative as of 28/06/2001)
Chair:Erich Neuwirth
Tuesday 10:30 - 11:15 Chair: Erich Neuwirth
The spreadsheet paradigm as a new mathematical
notation
Erich Neuwirth (Austria,
erich.neuwirth@univie.ac.at)
Tuesday 16:15 - 17:00 Chair: Erich Neuwirth
Creative Spreadsheet Graphics in Mathematics
Teaching and Modeling
Deane Arganbright (USA,
darganbr@utm.edu)
Tuesday 17:00 - 17:45 Chair: Erich Neuwirth
Spreadsheet uses in elementary statistics
course
Piotr Bialas (USA,
pjb18@columbia.edu)
Wednesday 10:30 - 11:15 Chair: Erich Neuwirth
Using of spreadsheets for developing mathematic
skills
Lyudmyla Belousova
(Ukraine, belousova@kgpu.sa.net.ua)
Wednesday 9:30 - 10:30 Chair: Erich Neuwirth
Introductory statistics with spreadsheets
Kent Neuerburg
(kneuerburg@selu.edu)
Thursday 9:30 - 10:15 Chair: Erich Neuwirth
Why are spreadsheets so unfriendly? Free discussion:
How spreadsheets could be improved
Douglas Butler (U.K.,
debutler@argonet.co.uk), Erich Neuwirth (Austria, erich.neuwirth@univie.ac.at)
Thursday 10:30 - 11:15 Chair: Erich Neuwirth
Teaching Discrete Mathematics With Excel
Steve Sudgen (**,
e@address)
Thursday 16:15 - 17:00 Chair: Erich Neuwirth
Spreadsheets across the curriculum
Robert Smith (USA,
rssmith@muohio.edu)
Abstracts:
Deane Arganbright, USA:
Creative Spreadsheet Graphics in Mathematics Teaching and
Modeling
The spreadsheet is an excellent and readily
available tool for teaching and learning mathematics. Mathematical
models, algorithms, and visualization techniques can be implemented
in spreadsheets in an interactive format in a way that the creation
process itself conveys the underlying mathematics. Examples show
how mathematical modeling and teaching are enhanced through
innovative and animated spreadsheet graphics. Mathematical
illustrations include the investigation of functions, geometry
constructions, computational algorithms, and mathematical
visualization. Examples come from geometry, calculus, numerical
methods, linear algebra, and operations research, as well as such
applied fields as population modeling, heat flow, epidemics,
genetics, business, and cultural and computer graphics.
Lyudmyla Belousova, Ukraine:
Using of spreadsheets for developing mathematic skills
The article is devoted to the questions of using
spreadsheets with the aim of forming the educational curriculum.
The main purpose is to developed mathematics skills and habit. The
results of the research were probated while teaching several
chapters from the mathematics course. The set of tasks showing aims
and outcomes of the work with the students are given in the
article. At the end of the research interdisciplinary connection
were revealed.
Piotr Bialas, USA:
Spreadsheet uses in elementary statistics course
Many important statistical concepts that seem too
obscure for the beginning student can be readily understood through
visualization and the ability to perform complex computations
rapidly. Available commercially various spreadsheet files computer
application programs allow the instructor/student to perform
complicated calculations, draw graphs and animate these in real
time. The presenter will share the results of his investigation
about the effects of the spreadsheet on achievement in selected
statistical topics of undergraduate students in an elementary
statistics course.
Douglas Butler, U.K.:
Why spreadsheets are so unfriendly?
The words MICROSOFT and EDUCATION usually appear together on
exhibition stands. So why is it that their spreadsheet excel
is so unfriendly to school children? Excel is used in schools extensively
throughout the world, and yet its authors appear to give little heed to the
needs of the youngsters who are using it. This presentation will list some of
the features that give the spreadsheet such a poor feel in the classroom and invite
the conference to make appropriate representations to Microsoft.
Kent Neuerburg, USA:
Introductory statistics with spreadsheets
Spreadsheets are ideally suited for use in an
introductory statistics course. These programs have the ability to
handle large amounts of data and are easy to use. As an added
benefit, a working knowledge of spreadsheets is a marketable skill
for many students. We will focus on our experience in using
spreadsheets to teach an introductory statistics course. In section
one, we consider the pedagogical strengths and weaknesses of using
spreadsheets in statistics. In section two, we discuss the
computational strengths and limitations of spreadsheets. Finally,
in section three, we provide some resources for real data and offer
suggestions as to how to integrate these data into the course by
demonstrating a few applications of spreadsheets to descriptive and
inferential statistics.
Erich Neuwirth,
Austria:
The spreadsheet paradigm as a new mathematical notation
One of the fundamental properties of spreadsheets is
creating formulas by relative an absolute references. These
references represent spatial relationships, and therefore
mathematical structures are represented visually and geometrically.
Some exaples (e.g. from combinatorics and difference equations)
will demonstrate how using these representations as conceptual tool
can help in not only performing calculations in a very user
friendly way, but also in gaining mathematical and structural
insights.
Erich Neuwirth,
Austria:
Free discussion: How spreadsheets could be improved
Robert Smith, USA:
Spreadsheets across the curriculum
Excel and other such electronic spreadsheet programs
have found their way in to a variety of undergraduate mathematics
courses. In this presentation we will demonstrate some spreadsheet
uses in a variety of undergraduate courses from precalculus to
abstract algebra.
Steve Sudgen, :
Teaching Discrete Mathematics With Excel
The modern spreadsheet as exemplified by Microsoft
Excel offers almost unlimited opportunities for the illustration of
fundamental mathematical concepts. Further, the same software
allows the teacher to encourage an investigative or experimental
approach to mathematics learning. This talk will present some
examples of these ideas plus an overall framework for the use of
Excel for the enhancement of laboratory work. It is claimed that
the approach outlined is especially useful for tertiary IT students
with a relatively modest background in mathematics. The discussion
will focus on topics from fairly traditional courses in discrete
mathematics.
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