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Definition
Curriculum integration implies restructuring learning activities
to help students build connections between topics.
A seminal study by Seymour and Hewitt concludes that one
of the reasons students leave science and engineering is that
they lose interest.[1] Building connections
and establishing greater relevance is important.
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| Goal:
Transferable Learning
Engineering graduates will be expected to transfer and apply
their conceptual understanding in novel situations. However,
transferring knowledge from one context and applying it in
a different situation is a very challenging task.[2]
Promoting successful transfer in engineering curricula depends
upon students’ prior knowledge and characteristics of
their undergraduate experiences. Since prior knowledge is
beyond curricular control, emphasis in promoting transferable
learning should be on characteristics of engineering curricula.
During their undergraduate experiences students learn a
number of topics simultaneously in different courses. In their
courses students must actively extend their existing cognitive
networks or construct new networks in which to hold the new
information. They might more easily and effectively assimilate
new information if topics presented simultaneously in different
courses were closely related. Therefore, faculty members might
coordinate topics across different subjects. Further, faculty
members reasoned that they might facilitate assimilation if
they constructed lectures and other learning activities that
acknowledged other topics that students were learning and
helped students build links between these topics. Research
support for integrated learning activities can be found in
multiple sources.
Source No. 1: Transferable Learning
and Multiple Contexts
“The context in which one learns is also important for
promoting transfer. Knowledge that is taught in only a single
context is less likely to support flexible transfer than knowledge
that is taught in multiple contexts. With multiple contexts,
students are more likely to abstract the relevant features
of concepts and develop a more flexible representation of
knowledge.”[3]
The use of well-chosen contrasting cases can help students
learn the conditions under which new knowledge is applicable.
Abstract representations of problems can also facilitate transfer.
Transfer between tasks is related to the degree to which they
share common elements, although the concept of elements must
be defined cognitively. In assessing learning, the key is
increased speed of learning the concepts underlying the new
material, rather than early performance attempts in a new
subject domain.
Source No. 2: Student Perspective
Qualitative researchers at the University of California Berkeley
interviewed 70 mechanical engineering students about their
learning experiences in college. Although the researchers
were aware of various integrated curricula that had been implemented
across the country, they were interested in the student perspective
of integration, as well as the pedagogical perspective. Data
from the interviews tended to support the value of linking
concepts. For example, “Of the 70 students interviewed,
60% commented on the benefit of linking concepts across disciplines.”[6]
Source No. 3: Neurological Studies
Studies using functional magnetic resonance imaging show that
activities in the “left prefrontal and temporal regions
jointly promote memory formation”[7]
for words in a list. Activity in the left prefrontal cortex
may indicate that subjects must make some association between
the new words that are being presented for recall and prior
memories. Thus, studies of neurological processes support
the necessity of building links between new stimuli and prior
knowledge for subsequent recall.
Source No. 4: Concept Maps
Concept maps are graphs in which the nodes are concepts and
the edges that connect the nodes are links that describe how
the connected concepts are related.[8] Very
roughly, concept maps may represent the knowledge of a person
and the way in which the person has organized her/his knowledge.
In general, faculty members would prefer that in a students’
concept map that there would be many links between a concept
and other concepts so that the student would be able to connect
a particular concept to many possible applications. However,
helping students develop more tightly interconnected concepts
may require increased curricular integration.
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Curriculum Integration Example
Arizona State University Students Link Electromagnetics and
Electronic Materials
Electromagnetics and properties of electronic materials are
two of the most challenging areas of electrical engineering.
At Arizona State University, Professor Ronald Roedel and co-workers
use wave phenomena to integrate the material and offer students
challenging and more realistic problems. Roedel unites concepts,
like matter waves, electromagnetic waves, and lattice vibrations,
to create a strong, interdisciplinary foundation.
Example Problem: Develop
a nondestructive technique to examine regrowth kinetics of
a silicon wafer implanted with silicon ions and the interface
between the thin amorphous layer near the top of the wafer
and the crystalline region below. Because amorphous and crystalline
silicon have different relative permitivities, consider using
a He-Ne laser to illuminate the wafer. As the interface moves,
the thickness of the amorphous layer changes, and the reflectance
should change. Set up the wave equations for normal incidence
reflection from a two-interface dielectric system and solve
these equations to determine the thickness of the amorphous
layer. Then find the velocity of the amorphous/crystalline
interface.
Instead of compartmentalizing material into either “solid
state” or “electromagnetics” arenas, students
who tackle problems like the one above see the need for thinking
and problem solving skills at the analysis and synthesis levels.[4]
Roedel developed the Wave Concepts Inventory (WCI)[5]
to measure students’ conceptual understanding of the
material. Using the WCI, Roedel has shown that students who
have taken the integrated course have a stronger conceptual
understanding of electromagnetics and electronic materials
than students who take the separate courses.
Curriculum Integration Example: Multidisciplinary
Applications of Spectral Analysis at University of Alabama
At the University of Alabama, Sally McInerny, associate professor
of aerospace engineering and mechanics, and electrical engineering
associate professors Harold Stern and Tim Haskew have developed
a junior-level multidisciplinary laboratory course on industrial
applications of dynamic data acquisition and analysis. “By
using a team of professors to teach the course,” says
Stern, “we could show the students how professors work
in teams. And by using professors from different disciplines,
we could help the students see concepts from different perspectives
and how different disciplines share common principles.”
The instructors designed the course to integrate topics in
digital signal processing, communications, acoustics, vibrations,
electric machines, and power. Multidisciplinary teams of aerospace,
electrical, industrial, and mechanical engineering students
develop a qualitative understanding of time and frequency
domains. “Interdisciplinary interaction in upper-level
lecture courses is helpful to students,” explained McInerny,
“because it allows them to see some of the common principles
and themes that run through all disciplines of engineering.”
Instructors use resources available via the Web and movies
developed with MATLAB to help students develop a foundation
for later work. With a conceptual foundation in place, students
work to understand the breadth of possible applications, studying
four laboratory modules: speech encoding and enhancement,
machinery sound power measurement, machine condition monitoring,
and motor condition monitoring. The course ends with a small
design project.[9]
Curriculum Integration Example: First-Year
Students at the Rose-Hulman Link Chemistry and Mathematics
Mathematicians and chemists at Rose-Hulman Institute of Technology
introduce reaction kinetics simultaneously.[10]
They present the general nth order reaction and the associated
differential equation ,
as well as first and second order reactions (n = 1 or 2),
as important special cases. Obtaining solutions (analytical
models) to the differential equations motivates antiderivatives
(or indefinite integrals). Students acquire data from reactions
in the chemistry laboratory and attempt to fit the data with
these analytical models. An application in one discipline
motivates theoretical exploration in another discipline. Models
obtained from the theoretical exploration are used to interpret
laboratory data. Students begin to see how a single concept
appears in diverse contexts.
Curriculum Integration Example: Building
Terminology Bridges
Differences in terminology (or nomenclature, as chemists prefer),
units, or error analysis sometimes inhibit the ability of
students to make links. For example, what physicists call
torque is named moment of a force by faculty members teaching
engineering mechanics. Chemists teaching reaction kinetics
to first-year students often introduce the concept of indefinite
integration before or at the same time as the students see
the concept in calculus. However, chemists may be unsure of
whether to call it indefinite integration or antidifferentiation.
Terminology may not cause problems for faculty members who
have mastered material, but different names for the same concept
can hinder students’ mastery. Helping students see the
different names for the same concept can encourage deeper
learning.
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| References for Further Information:
- Seymour, E. and Hewitt, N.M. 1997. Talking
about Leaving: Why Undergraduates Leave the Sciences. Boulder,
CO: Westview Press
- Gick, M.L. and Holyoak, K.J. (1983) “Schema
Induction and Analogical Transfer,” Cognitive Psychology,
15, 1–38
- How People Learn: Brain, Mind, Experience,
and School (1999). Bransford J.D., Brown, A.L., and Cocking R.R.
(editors). Washington, DC: National Academy Press. http://www.nap.edu/html/howpeople1/index.html
- Roedel, R. J., El-Ghazaly, S., and Aberle, J.T.
(1998) “An Integrated Upper Division Course in Electronic
Materials and Electromagnetic Engineering - Wave Phenomena for
Electrical Engineers,” Proceedings, Frontiers in Education,
Tempe, AZ. http://fie.engrng.pitt.edu/fie98/papers/1341.pdf
- Roedel, R. J., El-Ghazaly, S., Rhoads, T.R.,
and El-Sharawy, E. (1998) "The Wave Concepts Inventory -
An Assessment Tool for Courses in Electromagnetic Engineering
Engineers,” Proceedings, Frontiers in Education, Tempe,
AZ. http://fie.engrng.pitt.edu/fie98/papers/1351.pdf
- McKenna, A., McMartin, F., Terada, Y., Sirivedhin,
V., and Agogino, A. (2001) “A Framework for Interpreting
Students' Perceptions of an Integrated Curriculum,” Proceedings,
ASEE Annual Conference, Albuquerque, NM.
- Wagner, A.D., Schacter, D.L., Rotte, M., Koutstaal,
W., Maril, A., Dale, A.M., Rosen, B.R., and Buckner, R.L. (1998)
“Building memories: Remembering and Forgetting of Verbal
Experiences as Predicted by Brain Activity,” Science, 281,
1188–1191 http://web.mit.edu/wagner/www/papers/WAG_SCI98.pdf
- Turns, J., Atman, C., and Adams, R. (2000) “Concept
Maps for Engineering Education: A Cognitively Motivated Tool Supporting
Varied Assessment Functions,” IEEE Trans. Education. 42:2,
164–173
- McInerny, S., Stern, H.P., and Haskew, T.A.,
1999, “Applications of Dynamic Data Analysis,” IEEE
Transactions on Education, 42:4, 276-280
- Winkel, B.J. and Rogers. 1993. Integrated,
First-Year Curriculum in Science, Engineering, and Mathematics
at Rose-Hulman Institute of Technology Nature, Evolution, and
Evaluation. Proceedings, ASEE Annual Conference. Champaign-Urbana,
Illinois. 186-191.
- Al-Holou, N. et. al. (1999) “First-Year
Integrated Curricula Across Engineering Education Coalitions,”
JEE, 88:4
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2001 Foundation Coalition. All rights reserved. Last modified
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