Title: Modeling and Applications in the Mathematics Classroom for Smooth Transition from High School to Engineering Education Riadh W. Y. Habash, PhD, P.Eng School of Information Technology and Engineering University of Ottawa, Ottawa,
1Modeling and Applications in the Mathematics
Classroomfor Smooth Transition from High School
to Engineering Education Riadh W. Y. Habash,
PhD, P.EngSchool of Information Technology and
EngineeringUniversity of Ottawa, Ottawa,
Canada.rhabash_at_site.uottawa.ca
2Transition from High School to University
- A large percentage of the young people in this
country are going to university to study science
and engineering. - Students moving from high schools to
mathematics-related programs at universities,
such as engineering, often have difficulty
applying their mathematical knowledge to new
situations. - They find that there are gaps in the knowledge
and skills expected of them in a university
program. - Usually, these university programs depend
critically on students experiences of learning
mathematics and on their ability to make
connections between the mathematics they learn in
high school and the practical situations
presented later in the university.
3- Challenges!
- Why do we have to learn this? When am I going to
use this? These questions are asked with
increasing frequency as students progress through
study. - While students enter school with large doses of
curiosity, that curiosity may be overtaken by
skepticism if we do not show them how their
studies are relevant. - This presents a challenge for all educators, but
particularly those of us who teach math. That is
because math is sometimes perceived by students
as a collection of isolated topics that have
little relationship to the real world.
4Role of the Teacher
- The role of the teacher at all levels is
critical. Mathematics is difficult because we, as
teachers, have made it difficult! Possibly we
have been teaching too much mathematics and
sometimes the wrong one! Much of the mathematics
taught is rarely seen in their future careers. We
have to make mathematics easier and more
attractive. - We have to remove the fear factor often
associated with mathematics. We need to focus our
attention on the typical student who does not
have a deep interest in the subject but need to
access the subject at a superficial level.
5- Often students arrive at university not having
ever seen or realized differentiation, or can
hardly differentiate. Many find even the simplest
questions in integration almost impossible. Some
will have never met complex numbers, vectors, or
matrices. - Sometimes engineering students complain that they
physically cannot perceive mathematics concepts.
In such case students can be given this
relationship to realize. - This relationship try to say that increasing the
amount of work can easily compensate the limited
ability of a student.
6Mathematics for Engineers
- It is recognized by engineering faculty that
undergraduates in engineering programs should be
better prepared in mathematics to successfully
complete courses in their professional
disciplines. - Success in science and engineering depends
heavily on the application of mathematical
techniques to real world problems so increased
use of engineering examples in mathematics
courses can enhance the familiarity of students
with mathematical concepts. - However, developing custom courses in mathematics
may not be economically viable since students in
many different fields are taught by teachers from
mathematics department.
7- High school students need to have it explained to
them why knowledge of mathematics is essential
for their future practical work. -
- An understanding of key mathematical concepts
together with a skill to apply them effectively
to solve real world problems is an essential
ability that every student must acquire. - Mathematics should be regarded as a language for
expressing physical and engineering laws.
8- Formal Lectures
- Although this method of teaching may meet the
needs of students with high competence in
mathematics, formal lectures do not appear to be
the most effective method for teaching
mathematics to engineering students for several
reasons. - Many students learn to solve theoretical problems
without being able to apply that knowledge and
further, are exposed to pure rather than applied
mathematics. - As well, a pure mathematicians perception of
mathematics may be different from an engineers
and the teachers perception of mathematics
clearly affects the manner in which it is
presented.
9- Bruner suggests We teach (mathematics) not to
produce little living libraries on the subject
but rather to get a student to think
mathematically for himself. Current thought on
mathematics teaching and learning suggests that
the goal is to develop students who are able
think mathematically rather than learners who
simply memorize and apply procedures. - J. S. Bruner, The Process of Education, Harvard
University Press, 1960.
10- Similarly, Ward says In many ways we have, in
the last 10 years, been teaching too much
mathematics and been teaching the wrong
mathematics. Much of the mathematics taught to
engineers and scientists is rarely seen or used
again in their future careers. This state of
affairs has been driven, to a large extent, by
the requirements laid down by the engineering
institutions in order that engineering programs
are suitably accredited. Dare to say that those
mathematicians who advise the engineering
institutions do not have their finger of the
pulse of modern developments in this area? What
we wish to focus on is what mathematics we should
teach to engineers and scientists, and what
electronic aids we should be using to teach that
mathematics. - J. P. Ward, Modern mathematics for engineers and
scientists, Teaching Mathematics and its
Applications, vol. 22, pp. 37-44, 2003.
11Make Connections
- Making connections in math is an important
goal for all students because it underlies all
other mathematical skills (problem solving,
communicating, and reasoning). We should help
students make the following math connections - With real life.
- Within math (mathematical operations are
logically connected). - Between math and other subjects.
- Between conceptual (algorithms and formulas) and
procedural knowledge (reasons why these formulas
work). One without the other leads to senseless
memorizing. - Between concepts and physical quantities.
12Applications and Modeling
- The term applications and modeling has been
increasingly used to denote many relationships
between the real world and mathematics. - Using mathematics to solve real world problems is
often called applying mathematics, and a real
world situation which can be tackled by means of
mathematics is called an application of
mathematics. - The term modeling, on the other hand, is the
process of representing the behaviour of a real
system with a mathematical model, or collection
of mathematical equations.
13- Engaging students in modeling reinforces
mathematical concepts through their connection to
real-world applications. - Mathematical models can help in the understanding
of practical systems, which is why they are so
important to engineering. - Simulation tools are very appropriate for
expanding the range of options for approaches to
teaching modeling and applications. They enhance
the students experience of mathematising
situations, designing and conducting simulations,
and engaging in applied problem solving.
14Computer Packages
- Computers are extensions of human minds. They add
two improvements speed and memory. - The use of computer packages is now widespread
and they have become more user-friendly. In some
of them there is no need to write lines of code
to sort out mathematical problems! - For students who use these packages, they can
carry sophisticated mathematical calculations
without proper understanding of mathematics. Does
this matter? For the majority of engineers and
scientists it does not matter! - For teachers, how does these packages impact
teaching of mathematics? We may say that we
should balance these two matters teach
mathematical methods as well as using these
packages effectively.
15Professional Development WorkshopFoundations of
Engineering Concepts
- We suggest a model of teachers teaching each
other in a professional 2-4 day summer workshop
that provides high school teachers with a
foundation of engineering concepts and a means of
applying mathematics and science. - The content of the course focuses on the concepts
and background of four units of study - Engineering mechanics
- Fluids
- Heat
- Electricity
16Objectives of the Summer PD Workshop
- Provide teachers with a content-rich opportunity
to learn, practice, and use engineering as a
vehicle for the integration of math and science. - Introducing more engineering ideas in the
classroom so the students will acquire more
options, accordingly, career doors will open and
students can make informed choices rather than
relying on high school guidance councilors or
teachers. - Combining engineering concepts with teachers
understanding of teaching pedagogy to make a
significant impact on their content knowledge and
to take engineering back into their classrooms.
17What Mathematics do we Expect in Engineering?
- Rules of algebra proper notation, use of
brackets, hierarchy of calculation. - Persuade students to understand the structure of
equations rather than to memorize the notation. - Meaning of simple inequalities.
- Functions of a single variable.
- Limits, continuity, gradients, roots, etc.
- Polynomials. Complex roots. No emphasis on curve
sketching. - Standard functions exponential, sine, cosine,
etc. - Rates of change use the concept of modeling
motion as a natural derivative. - Sequences and series.
18- Complex numbers. No emphasis on algebra of
complex numbers. - Relationship between derivatives and integrals
with applications. No emphasis on finding large
numbers of integrals. - Differential equations order, linear, nonlinear.
No emphasis on methods of solving. - Introduce vectors and their applications to the
real world. - Introduce linear equations no emphasis on
solutions. - Simple matrix algebra.
- Recognize when problem can be solved analytically
and when numerically.