The Middle Atlantic Consortium for Mathematics and its Applications Throughout the Curriculum is comprised of the University of Pennsylvania, Villanova University, Polytechnic University, Community College of Philadelphia, two Philadelphia public high sch
ools and the Society for Industrial and Applied Mathematics. The primary goals of the consortium are to
- Integrate research and real-world applications into the basic mathematics curriculum
- Achieve more effective integration of advanced mathematics and computing into the upper-level
curricula of disciplines that use it.
The over-riding goal of this initiative is to promote a climate in which faculty across all disciplines view themselves as being jointly responsible for the (technical) education of undergraduates, rather than as clients and servants. We intend to achieve
this first within our own institutions and then promote the use and development of such materials and methodologies at other institutions using our results as models.
The approaches being taken are based in part on the experience accumulated at Penn and elsewhere in developing and promoting large-scale calculus reform. Our initiative consists of four projects:
- Creation of multi-media applications modules for mathematics courses and mathematics modules for
other-disciplinary courses.
- Development of basic and advanced interdisciplinary courses that integrate mathematics with specific
applications areas.
- Development of applications and laboratory-oriented courses for mathematics majors.
- Development of materials for non-mathematically oriented students in consideration of mathematical
literacy issues.
Consortium courses and materials in various stages of development at this time include:
- A World-Wide-Web-based textbook and course on Interdisciplinary Chemistry, Physics and Mathematics -- this has been used in summer courses for entering first-year students, and sections of it and its pedagogy are being used in an interdisciplinary Ma
th/Physics course at Penn this semester. The web-based text contains many video, animation and Java examples.
- Modules on chemical kinetics, and velocity of falling objects, and other phenomena
- Chemical Kinetics: The kinetics of DNA reassociation is used as a paradigm for first and second order chemical reactions in a video and in web-based material that has been produced for this module. Also included is interview footage to encoura
ge students to take seriously their study of mathematics.
- Eulerian Wobble: A study of the nonlinear dynamics of a rigid body exhibiting stable and unstable rotations is used to illustrate critical point analysis of a system of first order nonlinear ordinary differential equations. The phenomena can r
eadily be demonstrated with a table-tennis racket or a ruler. Video and animation (using Maple) of the demonstration have been prepared, and ready to be put on the web. Relation with a phenomenon in aerodynamics will also be illustrated.
- A study of the vibration modes of a linear triatomic molecule is used to illucidate the meaning of eigenvalues and eigenvectors in linear algebra. Computer animation of the vibrational eigenmodes is available in Maple.
- Mathematical thermodynamics -- Thermodynamics utilizes a broad range of mathematical concepts ranging from elementary calculus to differential equations to optimization to numerical analysis. We are developing novel multimedia modules which describe
the applications of various mathematical ideas in
Thermodynamics and integrating these modules into a comprehensive two-semester course. The modules will be used in Thermodynamics courses to explain how mathematical tools are used in Thermodynamics and in mathematics courses to provide examples of appli
cations of mathematics.
- Industrial applied mathematics -- this is a year-long course for upper-level mathematics majors and graduate students that surveys applicable mathematics via applications of mathematics. The first semester focuses upon case studies of applications of
mathematics in telecommunications, parallel computing, network designs, algorithms, and other problems arising in the binary universe of the information age. This half of the course will feature visits from (or to) several workers in other departments or
industries. The faculty will assist each student in the course to identify an applications area and a scientist, engineer, economist, physician, etc.. at Penn or in a local industry who employs mathematics to study a particular
phenomenon in that area and to communicate with this person to extract the appropriate science (in the broadest sense) and an understanding of how mathematics is used to study and solve the relevant problems. Students do this with an eye on the second hal
f of the course, in which they produce materials suitable for use in an undergraduate mathematics class, related to the application. The most ambitious projects will be substantial beginnings for the production of new modules for MACMATC.
- Geographiometry -- This is a course for entry-level liberal arts students which presents some important and modern mathematical ideas within the highly visual and stimulating context of maps, the primary tools of geographers. By creating maps and gr
aphs, students can develop the skills needed to evaluate accurately the quality of graphic images they encounter on a routine basis. By exploring the mathematical ideas
involved in creating and analyzing these maps, students can see how mathematics can help them to understand and explain their world.
- Calc/Econ (Problem-Driven Interdisciplinary Math Analysis for Business and Social Science)
Bruce Pollack-Johnson and Audrey Borschardt of the Mathematics Department at Villanova and Pete Zaleski of the Economics Department are designing this course to improve the preparation of business students so they can apply concepts learned in their calc
ulus course to later courses, by developing a "problem-driven" course. The course as a whole, and each section, will be motivated by a real-world problem from some later course or from areas the students are considering for careers. Faculty from other di
sciplines (in person and/or on videotape or multimedia disk) introduce the context and the problems, and sometimes the solution.
Other projects under development include course and module materials on the mathematics of Financial Derivatives, the Analysis of Image Data, International Economics and Monetary Policy, Applications-oriented Precalculus, and various other modules concern
ing engineering applications.
SIAM is assisting with administration and dissemination for the project (articles have already appeared in SIAM News, for example). Evaluation of project materials and results is to be carried out at Penn by a group led by Robert Baruch of the Graduate Sc
hool of Education, at Villanova by its Human Organization Science Institute and by CCP's Office of Institutional Reseach.
Evaluation
The Evaluation team works under the direction of Prof Robert Boruch of Penn's Graduate School of Education, and organizes itself around the following Evaluative Core Questions:
Question 1: What is the nature, severity, and scope of the problem and how do we know?
In the MATC context, this includes, for example, generating good evidence about why and how students fail to reason properly in attempting to solve word problems. It includes generating evidence on students' difficulties in educing a mathematical concep
t or model from a narrative description of a physical phenomenon. It includes trying to understand the order of magnitude of the difficulty and how the magnitude can be measured or observed.
Understanding stereotypical problems that students have in learning seems basic to addressing other questions. If the problem is ill-defined, not severe, or is easily controllable, then inventing solutions and testing them seems ill advised.
At the micro (bench) level, the approach to generating evidence will be based on achievement testing and other tactics in the interest of diagnosing when and how students go wrong. It will be based on cognitive processing approaches to understanding ste
reotypical mistakes, e.g., "think aloud" approaches to learning how students think. And it will be based on small surveys, on students' perceptions (or misperceptions) of their skills and abilities are and about MATC products.
Across institutions in the Consortium, we will develop a mechanism for routinely synthesizing information obtained at the subcourse and course level. This can result, for instance, in meta-analyses of the nature and distribution of students' problems or
perceptions.
Question 2: How and how well are MATC products developed and emplaced?
We recognize that no program, project, or practice is ever delivered as advertised. Patients may not comply with the drug or diet regimen prescribed. Educators who have a mandate to deliver one kind of instruction, one syllabus, one module and so forth
, will vary in their delivery.
This evaluation question bears primarily on process rather than product. It is apropos within sites, such as a course or institution, where a particular module might be the target of evaluation in two or three sites. It is pertinent at the consortium l
evel where, for instance, the level of communication or cooperation on a module across all sites needs to be understood.
In the vernacular of the evaluation industry, the question implies "formative" evaluation, "monitoring," and "troubleshooting." When routinized well, the activity takes the form of quality assurance.
The approach we will take to this evaluative question involves direct independent observation of students' and faculty engaged in MATC activity. This can include, for example, taking time samples of student laboratory work to understand whether and how
the activity accords with MATC themes. It can include periodic direct observation of out of class engagement in team work on assignments. We expect to use videotape to augment direct observations to augment direct observation of what happens, when, amon
g whom, and to what end.
Other simple indicators of integration activity will be exploited where possible. Monitoring and counting the frequency or duration of exchanges between mathematics faculty and faculty in other disciplines, the frequency of joint courses, and so on is f
easible, for example, based on logs maintained by faculty.
At the multi-institution, and cross course level, meta-analyses of the subcourse and out of course activity are possible. Regardless of measurement within a course or module, it seems sensible to monitor and record the simple frequency of attempts to us
e MATC inventions across faculty and schools. This is a crude indicator of process and a potential indicator of ultimate exportability of MATC products.
Question 3: Does the innovation work? Relative to what standard? Based on what evidence?
The question, of course, is basic in the MATC setting. More generally, it has not often been addressed in higher education (Bok, 1986) on account of its difficulty.
Evaluating the effects of a major change in curriculum requires, for example, that we know (or guess) what would have happened to students in the absence of the particular change. This, in turn, requires good forecast or, more likely, a fair comparison
group, or making an untestable assumption.
This question is misleadingly simple but crucial. It will be unbundled so as to cover four questions.
- Do student/faculty "like" the product? Data on the attractiveness, burden, etc. is fundamental inasmuch as an unattractive product is less likely to be adopted readily. The evidence on this is usually brief opinion surveys and narrative reports of f
aculty and students.
- Do students/faculty learn from the product? The evidence to address the question usually stems from controlled tests to estimate changes in understanding relative to: some baseline evidence; a comparison group's performance; or an assumption about w
hat would have happened in the absence of the product.
- Do students use what they learn? Evidence on this is rarely collected in higher education. Evidence can be obtained, in principle, by assessing students over time as they take different courses, and perhaps even beyond graduation.
- What is the effect of exploiting what is learned in post-graduate settings? Again, evidence on this is rarely collected. In principle, it is possible to obtain evidence by surveying students beyond graduation. Again, some baseline condition or comp
arison would have to be established.
Question 4: What are the costs and cost/effectiveness of alternatives? And how do we know?
Addressing this question depends heavily on one's having addressed the preceding questions well. If the program is not properly emplaced, for instance, it does not make much sense to do a cost/effectiveness analysis.