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The
AMATYC Review
A refereed publication of the American Mathematical
Association
of Two-Year Colleges
Editor: Barbara
S. Rives, Lamar State College
Production Manager: John
C. Peterson
Abstracts
Fall 2007 issue, Vol.
29, No.1
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- Lucky Larry #83
- From the Editor’s Keyboard
- Successful Developmental
Mathematics Education: Programs and Students—
Part I, Irene M. Duranczyk
- Differintegration: The One Branch
of Calculus, Andrew J. Berry
- How to Compute the Partial
Fraction Decomposition Without Really Trying, Richard
Brazier and Eugene Boman
- An Alternative Method to the
Classical Partial Fraction Decomposition, Chokri
Cherif
- Lucky Larry #84
- Beyond Assessment, Jim Ham
- A Couple of "lim (h=>0)-is-missing"
Problems, Ko Hin Lau
- Exploring Measurement Error
with Cookies: A Real and Virtual Approach via Interactive
Excel, Scott A. Sinex, Barbara A. Gage, and Peggy
J. Beck
- Lucky Larry #85
- A Study on Student Performance
in the College Introductory Statistics Course, Jen-Ting
Wang, Shu-Yi Tu, and Yann-Yann Shieh
- Book Reviews, Edited by Sandra
DeLozier Coleman
- Software Reviews, Edited
by Brian E. Smith
- The Problems Section, Edited
by Stephen Plett and Robert Stong
- Mathematics For Learning
With Inflammatory Notes for the Mortification of
Educologists and the Vindication of “Just
Plain Folks”, Alain Schremmer
- Lucky Larry #86
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(back
to top)
From
the Editor’s Keyboard
The fall semester is underway and hopefully,
you and your colleagues have carefully read Beyond Crossroads,
and have begun implementing the content of this document
into your departments and classrooms. Another article focusing
on Beyond Crossroads is included this issue—see the
article written by Ham. Due to the importance of Beyond
Crossroads, articles focusing on implementation are welcomed
for review and consideration for possible publication in
future issues of The AMATYC Review. Each issue for the foreseeable
future will have at least one article published that shares
the implementation
successes at your campuses.
Please submit the implementation manuscripts
using the following guidelines:
-
Length: 5–8
pages, typed in 12 point font
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Style: APA Publication
Manual, 5th edition—this means the tables, figures,
and references should be in APA (American Psychological
Association) Style. If they are not in APA format, your
materials will be returned to you to make the changes.
This slows the review process even more, so please use
APA format in your submission. For more information
on the APA Style go to http://apastyle.apa.org/.
-
Submission: Submit
five hard copies of the manuscript to Barbara Rives,
Editor, 204 Hardin Administration Building, Box 29140,
Abilene, Texas 79699-9140. Please also include the following
in the lower left corner of the package—“Attention:
Beyond Crossroads implementation article.”
-
Send a digital copy of the
manuscript as an e-mail attachment to ReviewEditor@amatyc.org.
List the following in the subject line of the e-mail:
[<Author’s last name>; Beyond Crossroads
implementation article: <Article title>]. For
example, if I submitted a manuscript, the subject line
would read—Rives; Beyond Crossroads implementation
article: Implementing the Standards for Student Achievement
and Success.
A special “thank you” goes to all the authors
who have submitted manuscripts for possible publication.
The review process has taken much longer than the authors
(and the editor too) would like; however, there is “light
at the end of the tunnel.” If all goes as planned
(manuscripts reviewed and returned), all authors who submitted
manuscripts prior to June 1, 2007 should know the final
determination of their manuscript by the time you receive
this journal. Many excellent articles have been received
for review and consideration. I wish more manuscripts could
be published; however, this is not possible due to page
limitation of each issue of The AMATYC Review. Have a wonderful
fall semester. See you in Minneapolis.
Barbara S. Rives, Editor
E-mail: ReviewEditor@amatyc.org
(back to top)
Successful
Developmental Mathematics
Education: Programs and Students— Part I
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Irene is an assistant professor in the Department
of Postsecondary Teaching and Learning with an EdD
from Grambling State University, Louisiana. She taught
developmental mathematics since 1990 and was an administrator
of developmental programs for over 20 years. Irene
is the recipient of the 2007 National Association
for Developmental Education’s (NADE) Outstanding
Research Conducted by a Developmental Education Practitioner
Award.
E-mail: duran026@umn.edu
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This article, the first in a three-part series, will
explore the existing body of research regarding successful
developmental mathematics education. The three-part
series will present qualitative research conducted
at a large Midwest public university. The qualitative
study was conducted three to five years after students
completed their developmental mathematics course work.
The purpose was to collect students’ points
of view regarding what, if any, aspects of the developmental
mathematics program contributed their success. Students
do not read the literature that professional educators
read and educators often do not check back with students
after program completion to assess what parts of the
educational experience have contributed the students’
growth once they have completed their educational
requirements. The second and third articles in the
series will report on the research methods and results.
The second article will specifically address aspects
of the developmental mathematics program that students
attributed to their successful experiences in life
as well as their subsequent successful educational
experiences. The last article in this series will
provide some of the research tools used in this study
and identify specific implications—what do developmental
educators need to consider as they evaluate the effectiveness
of their developmental mathematics programs.(back
to top)
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Differintegration:
The One Branch of Calculus
Andrew J. Berry
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Andrew J. Berry received his BS and MS
degrees in mathematics at the University of Illinois
at Urbana-Champaign, and his PhD at New York University.
He is associate professor of mathematics at LaGuardia
Community College, City University of New York.
E-mail: ajberry@nyc.rr.com |
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How might one define a functional operator DIf
(x), say for f (x)
= 1 + x2 + sin x, such
that D+1(1 + x2
+ sin x) = 2x + cos x and
D-1(1 + x2
+ sin x) = x + x3/3
− cos x? Our task in this article is
to describe such an operator using a single formula
involving the limit of a sum which depends only on
a single parameter specifying the order of the operation
of differintegration. (back to top)
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How
to Compute the Partial Fraction
Decomposition Without Really Trying
Richard Brazier and Eugene
Boman
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Richard Brazier received his BA from Bath University
in the UK and his Masters and PhD degrees in applied
mathematics from University of Arizona in Tucson.
His interests include his family, seismology, gardening,
home remodeling and philately.
E-mail: rab27@psu.edu
Eugene Boman received his BA in mathematics from
Reed College in 1984 and his MS and PhD in applied
mathematics from the University of Connecticut in
1986 and 1993 respectively. He has been teaching at
the Dubois campus of Penn State since 1996.
E-mail: ecb5@psu.edu
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For various reasons there has been a recent trend
in college and high school calculus courses to de-emphasize
teaching the Partial Fraction Decomposition (PFD)
as an integration technique. This is regrettable because
the Partial Fraction Decomposition is considerably
more than an integration technique. It is, in fact,
a general purpose tool which crops up naturally in
a wide range of applications.
The techniques for computing the Partial Fraction
Decomposition are numerous to say the least and tend
to fall into two categories, general methods which
will work for any decomposition and specialized methods
which work only for special cases. Unfortunately,
the general techniques are often cumbersome and tend
to make relatively simple decompositions seem complex,
and the specialized techniques, while often very easy
to use, tend to roliferate to the point of chaos because
there is a lot of variation in the kinds of decompositions
that occur.
We present an algorithm for computing the Partial
Fraction Decomposition that is based on Heaviside's
"cover-up" method-possibly the simplest
of the known specialized techniques. The "cover-up"
method is extended to a general technique which can
be used for any decomposition. Our algorithm is simple
to use and teach and is usually more efficient than
other known algorithms, specialized or general.(back
to top)
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An
Alternative Method to the Classical Partial Fraction
Decomposition
Chokri Cherif
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Chokri Cherif is an assistant professor of mathematics
at the Borough of Manhattan Community College (BMCC)
of the City University of New York (CUNY) and a 2006-2007
(Cohort 3) Project ACCCESS Fellow. He earned his MA
in Pure Mathematics from the City College of New York
and his PhD in Pure Mathematics from the Graduate
Center of the City University of New York. His primary
area of interest is functional analysis and its application
to image processing.
E-mail: ccherif@bmcc.cuny.edu
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PreCalculus students can use the Completing the Square
Method to solve quadratic equations without the need
to memorize the quadratic formula since this method
naturally leads them to that formula. Calculus students,
when studying integration, use various standard methods
to compute integrals depending on the type of function
to be integrated. Before integrating rational functions,
students often need to know how to decompose the function
by using the Partial Fraction Decomposition. In some
cases, extending the Completing the Square Method
beyond polynomial functions, to include rational functions,
can be very helpful in avoiding lengthy computations
where the potential of error is high. In this manuscript
we propose an alternative method to the lengthy Partial
Fraction Decomposition, used in standard calculus
textbooks, to compute the indefinite integral of a
family of rational functions. We will also demonstrate
how the integral of the rational function, one over
one plus x to the fourth power, can be thought of
as a special case of the integral of the family of
rational functions. (back to top)
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(back
to top)
A
Couple of "lim (h=>0)-is-missing" Problems
Ko Hin Lau |
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Ko Hin Lau is an assistant professor
in the mathematics department at State University
of New York (SUNY), College of Agriculture and Technology
at Cobleskill. He obtained his PhD in mathematics
from Indiana University. His academic interests include
analysis, operator theory, and mathematics education.
Email: laukh@cobleskill.edu
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Since most students "hate"
the concept of limit, in order to make them "happier,"
this article suggests a couple of naive "lim
(h=>0)-is-missing" problems for them to try
for fun. Indeed, differential functional equations
that are related to difference quotients in calculus
are studied in this paper. In particular, two interesting
observations are made in this article, namely, (1)
it is possible to solve a differential functional
equation just by some basic algebra; and (2) a certain
class of smooth functions is characterized by imposing
a simple condition on the value c, where c
is guaranteed by the Mean Value Theorem for any smooth
functions defined on any interval [a, b]. ( back
to top)
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Beyond
Assessment
Jim Ham
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Jim Ham is a professor of mathematics at Delta College
in University Center, Michigan, near Saginaw. He served
on the Beyond Crossroads National Advisory Committee
and was a section writer for Beyond Crossroads. He
is also actively involved in MichMATYC and AMATYC's
Placement and Assessment Committee.
E-mail: jaham@delta.edu
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| Stakeholders are
interested in accountability in public education. College
professors are doing innovative things in the classroom
to help students learn mathematics and, when required,
are documenting this learning. This article provides
several hypothetical examples of how documented assessments
of student learning at the classroom, course and programs
levels, can provide evidence of accountability. A well-documented
collection of assessment results and actions responding
to these results can be the bridge between assessment
and accountability. If we take care of the little things
(documented classroom, course, and program assessments),
the big thing (accountability) will take care of itself.
(back to top) |
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Exploring Measurement
Error with Cookies: A
Real and Virtual Approach via Interactive Excel
Scott A. Sinex, Barbara A. Gage, and Peggy J. Beck
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Scott A. Sinex is professor and chair
of the physical sciences and engineering department
of Prince George's Community College in Largo, MD.
He received a PhD in geochemistry from the University
of Maryland at College Park. He is involved with using
technology to develop dynamic and interactive visualization
of science and mathematical concepts for guided-inquiry
instruction.
E-mail: ssinex@pgcc.edu
Barbara A. Gage is professor in the
physical sciences and engineering department of Prince
George's Community College in Largo, MD. She received
her PhD in curriculum and instruction with emphasis
in chemical education from the University of Maryland
at College Park. When she's not in a chemistry classroom,
she is designing activities for and teaching pre-
and in-service teachers in Earth and space sciences.
E-mail: bgage@pgcc.edu
Peggy J. Beck is professor in the mathematics
department of Prince George’s Community College
in Largo, MD. She received her MA degree in mathematics
from The Pennsylvania State University. She has used
the cookie module in both intermediate and college
algebra, as part of the Peer-Led Team Learning approach
to teaching mathematics.
E-mail: pbeck@pgcc.edu
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| A simple, guided-inquiry
investigation using stacked sandwich cookies is employed
to develop a simple linear mathematical model and to
explore measurement error by incorporating errors as
part of the investigation. Both random and systematic
errors are presented. The model and errors are then
investigated further by engaging with an interactive
Excel simulation and a variety of what if scenarios.
A conceptual understanding is developed by hands-on
manipulation combined with further virtual experimentation.
Numerous higherorder thinking and science process skills
are used throughout the investigation. (back
to top) |
(back
to top)
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A Study on Student
Performance in the College
Introductory Statistics Course
Jen-Ting Wang, Shu-Yi Tu, and Yann-Yann Shieh
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Jen-Ting Wang has a PhD in statistics from University
of California at Santa Barbara. She is an associate
professor in the department of mathematics, computer
science, and statistics at the State University of
New York College at Oneonta. Her research areas includes
applied statistics, Bayesian statistics, and statistical
education.
E-mail: WangJ@Oneonta.Edu
Shu-Yi Tu received her PhD in mathematics from University
of California at Santa Barbara. She is an assistant
professor of Mathematics at University of Michigan,
Flint. Her research interests include applied mathematics,
nonlinear wave equations, and statistics.
E-mail: sytu@umflint.edu
Yann-Yann Shieh is a statistician at Office of Special
Education and Rehabilitative Service, US Department
of Education. She has a PhD in educational psychology.
Her areas of specialization are multilevel modeling.
E-mail: yshieh@air.org
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Introductory Statistics is a required course for
most college students in order to graduate. Research
has been conducted for determinants of achievement
in college mathematics courses; however, there has
been little investigation for statistics courses.
In this exploratory study, data concerning students'
grades received in this course, the academic performance
in high school and in college, as well as numbers
of collegiate credits earned were collected from a
public four-year liberal arts college. This study
aims to identify the most significant factors of students'
grades in this course. In addition, a comparison between
performances of male and female students, as well
as those of freshmen and non-freshmen was also examined.
Class size effect was discussed as well. In addition
to searching for the most important factors, the prediction
model for the course grade was also established from
multiple linear regressions. Findings suggest that
a student with a good college and high school GPAs,
as well as high SAT math score may perform well in
the introductory statistics course. High school math
grades were also found to be an important predictor.
(back to top)
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Book Reviews
Edited by Sandra DeLozier Coleman
THE PARROT”S THEOREM: A
Novel, Denis Guedj, Translated by Frank Wynne,
Thomas Dunne Books, an imprint of St. Martin's Press, New
York, 2000, ISBN 0-312- 30302-5 (pbk).
CRIMES AND MATHDEMEANORS,
Leith Hathout, Illustrated by Karl H. Hofmann, A.K. Peters,
Ltd., Wellesley, Massachusetts, ISBN-10: 1-56881-260-4.(back
to top)
Software Reviews
Reviewed by Annette M. Burden, Youngstown State
University
Edited by Brian E. Smith
An Overview
of Several Popular Web-Enhanced
Instructional Products: Part I
In order to better understand the products
that will be discussed here, one needs to be aware of the
three systems that were developed for use in an e-learning
environment.
The first system, a Course Management System
(CMS), was designed primarily for use in academia. This
system offers its users the ability to place course materials
online, create various assessment features such as tests
and quizzes, communicate with students, and track student
and course statistics. The most common CMS products on the
market are WebCT, Blackboard, e-College, and ANGEL.
Because the high price of these products can be prohibitive,
free "Open Source" products such as Moodle and
Saki have surfaced.
The second system, a Learning Management
System (LMS), is similar to the CMS but was designed primarily
for use in corporate training. This system offers its users
the ability to register students, track student participation
and completion, transfer information to other systems, process
course charges and tuition payment/transfers, manage skill
development, and create reports. A few of the most common
LMS products on the market are NetDimensions EKP, Saba,
and SumTotal Systems.
The third and newest system, a Learning Content
Management System (LCMS), was designed to combine the learner
and administrative capabilities of an LMS with the content
creation and storage capabilities of a CMS (see Figure 1).

With the increase in popularity of CMS, the
desire to add text specific ready made content available
for use within CMS increased as well. Instructional designers
were employed to create products that would satisfy this
need. Of course, the popularity for these products grew
with the increase in distance learning offerings and the
need to easily manage multiple section offerings of a course.
Hence, it became a major challenge to make these products
more dynamic (interactive), more robust, and web-compatible.
Due to the efforts and vision of the major players in education:
Pearson Education (Addison-Wesley/Prentice Hall), McGraw-Hill,
and the ALEKS Corporation, many of these challenges have
been realized. The most common web-enhanced instructional
products currently on the market (in order of their development)
are ALEKS® (ALEKS Corporation 1965), MyMathLab®
(Pearson Education 2000), Math Zone® (McGraw-Hill
2004), Thompson NOW® (Thompson
2005), and Eduspace (Houghton Mifflin 2006). More recently,
Thompson-Brooks/Cole has introduced WebAssign®.
However, this product tends to fall under the LMS category
and is, therefore, not discussed here.
As in most web-enhanced instructional products,
there is both a student module and an instructor module
to the product. The instructor module of the product includes
all of the necessary tools for development, assessment,
and implementation of a course whether it is tied to a specific
text or not. In many instances, it permits cloning of a
course, making management of multiple sections of a course
possible. The student module of the product minimally includes
instructor prepared practice quizzes/tests and course documents.
However, the more sophisticated product also includes algorithmically
generated interactive practice problems, quizzes, and tests,
mini-lecture video clips, animations, power points, and
access to an e-book.
To create a good web-enhanced instructional
product, instructional designers need to consider the functionality
of the product within the following theoretical context:
1. Learning Theories
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Behaviorism
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Constructivism
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Cognitivism
2. Learning Styles of the Student
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Visual/Haptic
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Visual/Verbalizer
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Leveling/Sharpening
3. Educational Environment
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Traditional
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Distance Education (e-learning)
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Computer Supported Collaborative Work
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Computer Aided Instruction
4. Technology
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Use (how and where)
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Assessment (is it working well?)
5. Multimedia Technologies
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Communication
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6. Goals of Multimedia Design
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Information Acquisition
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7. Goals of Multimedia Learning
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Remembering: recall & retention
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Understanding: transfer
The Microsoft design team summarized the theoretical focus
well in the following statement:
User experience and interface design in the context
of creating software represents an approach that puts
the user, rather than the system, at the center of the
process. This philosophy, called user-centered design,
incorporates user concerns and advocacy from the beginning
of the design process and dictates the needs of the
user should be foremost in any design decisions [5].
With the theory of web-enhanced instructional product
design in mind, an overview of each of the most popular
products (in order of their development) is presented
here.
ALEKS®
2.0 Overview
ALEKS is an acronym for Assessment and LEarning in Knowledge
Spaces. A bulk of the development of the ALEKS online
interactive system began as a result of a multimillion
dollar NSF grant. The ALEKS system was based on Knowledge
Space Theory which basically asserts that a complete conceptual
knowledge of a subject like Algebra can be separated into
various disjoint and/or overlapping elements of knowledge
within the subject area. Using a series of complex algorithms
and interactive math problems, ALEKS is theoretically
able to determine a student's knowledge state at any particular
time within the learning process and "intelligently"
lead the student into the concept that he/she is most
ready to learn next. A more detailed discussion of the
theoretical basis of ALEKS can be found in "Knowledge
Spaces" by Jean-Paul Doignon and Jean-Claude Falmagne,
(Springer, 1965). ALEKS requires the appropriate Java
Runtime environment and a math plug-in to run properly.
These items are automatically detected and downloaded
upon registration.
Administrator Module
Administrators are required to register for their course
using an instructor access code. An ALEKS instructor access
code can be obtained by contacting your local sales representative.
After registration and upon login, ALEKS will detect and
install the required plug-ins and then present the instructor
with a new message board. Instructors can read messages
or go on to the Main page where they can select from the
following options:
- How Do I: where instructors can obtain help for all
features of ALEKS
- Course Administration: where instructors can:
º Create a new course
º Display the number of students in each course
and its corresponding course code
º Change the name or topic of a course
º Change the password of a student
º Change personal preferences (password, message
options, e-mail forward, etc.)
º Change account preferences of a student
º Move a student from one course to another
º Un-enroll a student from a course
º Delete a course containing no student
- College Administration: where instructors can: º
Create a new instructor account
º Change the password of another instructor, or
of a teaching assistant.
º Change account preferences (name, messaging options,
e-mail forwarding, etc.) of an instructor.
º Move a course from one instructor to another.
º Delete an Instructor Account
- Reporting: where an instructor can generate a status
report (progress, time spent on ALEKS, etc.) in a variety
of styles
- Taking Actions: where an Administrator can:
º Schedule a new assessment
º Cancel an assessment
º Change the name, date, grading scale of an assessment
º Edit the grading scale, date or name of a past
or upcoming scheduled/requested assessment
º Create a Quiz
º Edit a Quiz
º Delete a Quiz
º Send a message to communicate with students or
instructors.
- Advanced: this economical mode contains all of the
above features and is available for the more experienced
ALEKS user.
From an administrative standpoint, the Results &
Progress menu gives the course administrator the ability
to create a quiz for all sections of a course, e-mail
all students from a specific section of a course, create
a new course section, add a new instructor, review student
progress for all sections of a course, and obtain reports
for all sections of a course. Students can also be conveniently
"draged and dropped: from one section of a course
to another (see Figure 2).

Also from an administrative standpoint,
the Standards & Syllabi menu gives the course administrator
the ability to set standards for the sections as well
as to adjust the course syllabus for each section.
Student Module
Students are required to register for their
course using a purchased access code. The student would
generally purchase this access code from their campus
bookstore bundled with a text order from the instructor
or course administrator. The student module of the ALEKS
product consists of both an assessment and a learning
mode. Each will be discussed separately below.
Assessment Mode
Upon registration and plug-in check and
installation, each student is required to navigate through
a tutorial on proper data entry and use of the ALEKS system.
This tutorial takes approximately 10-20 minutes depending
upon the computer skills of the student. When the tutorial
has been completed the student is given an initial assessment
test. The first question that a student encounters is
always based upon the course content, but each question
thereafter is selected by the system according to the
way the student has answered a previous question. The
number of questions within an assessment varies depending
upon the answers to questions within the assessment. Although
no feedback is provided during an assessment, when the
assessment has been completed, ALEKS generates an individualized
pie chart report that tells the student what knowledge
elements ALEKS has deemed the student knows.
Learning Mode
Once the student has seen the ALEKS generated
report, the student must then exit the report pie and
enter the learning mode pie. By selecting an available
element (concept) within a slice of the pie, a student
is able to navigate through the course material. The student
can attempt to solve the problem or can read an explanation
of the problem's solution. The student is then presented
with a similar problem. If the student incorrectly answers
the new problem, the ALEKS system evaluates the type of
error that could have occurred and then offers the student
options. Students are given an assessment when ALEKS perceives
that the student is ready for one, unless an assessment
has been assigned by the Administrator. Students always
have access to an overview of items that they can do and
items that they need to learn next.
Product Functionality—Comments
Administrator Module
ALEKS has a robust administrative component.
Multiple sections of a course can be created with relative
ease. Although students can be easily "dragged &
dropped" from one section of a course to another,
their work was, at the time of this review, not able to
be moved with them. It is unclear at this time whether
the product revision provides this functionality. ALEKS
generates a variety of useful student and class reports
that give a quick overall view of the class's progress.
ALEKS has recently undergone a revision
adding the following enhancements:
-
Automatic Textbook Integration
-
-
Instructor-Created Quizzes
-
It is difficult for instructors to follow
a text since students are usually in different chapters
or sections of a chapter at any given time.
Student Module
Although the student assessment module
of ALEKS is typically only supposed to offer the student
between 15-25 questions, some students have found themselves
taking assessments that have contained over 80 questions.
In the learning mode, students have found themselves sent
back to elements that they had previously learned. Students
have been known to be caught in infinite loops and had
difficulty moving forward in the course. It is not readily
apparent how to exit the initial assessment pie and enter
the learning mode. Students are instructed to click on
"Exit," but in doing so, are immediately logged
out of the product. It is hard for students to follow
a textbook since they are permitted to select from any
section of the pie that ALEKS has deemed them ready to
learn.
General
Norton Antivirus has presented a problem
for ALEKS users! In general, the overall design and functionality
of this product appears to be theoretically strong in
items 3, 4, 6, and 7 but weak in items 1, 2 and 5.
MYMATHLAB Overview
Course Compass (CC) is an easy to use Course
Management System (CMS) environment developed by Pearson
Education using Blackboard technology. Addison-Wesley
and Prentice Hall offer a wide variety of textbooks within
the CC environment, with 250 of these titles enhanced
by MyMathLab (MML). MML is a series of text-specific,
customizable courses for Addison-Wesley and Prentice Hall
textbooks in mathematics and statistics. MML is powered
by CC andMathXL (MXL), Pearson Education's robust stand-alone
online homework, tutorial, and assessment system (see
Figure 3).

As a stand-alone system, MXL is fully functional
outside of the CC/MML environments and is used primarily
in the development of single courses. MXL is placed within
the CC/MML environment when more control over multiple
sections of a course is necessary. MML permits the delivery
of online courses using the content of MXL and the online
tools within CC. Moreover, instructors who wish to add
their own content, documents, and videos, or want to customize
the learning environment for their students can only do
so in MML. Thus, MXL is the essence of the dynamic course
materials for selected mathematics and statistics courses.
MXL provides instructors with the following rich set of
course options:
- a powerful homework and test manager
- a custom exercise builder
- comprehensive gradebook tracking
- complete online course content and customization
tools
- the ability to copy or share courses and manage course
groups
MXL is also a dynamic learning tool that provides students
with:
- interactive tutorial exercises
- an e-book with multimedia learning aids
- individualized study plans
- tutoring service
In order to operate properly, MXL requires the MXL player
which is a proprietary program developed by Pearson Education
to deliver mathematics online. Although Java is used to
deliver mathematics for older statistics and calculus
titles, new editions of these texts will require the MXL
player as well.
Administrator Module
Administrators are required to register for their course
using an instructor access code. The access code is provided
to instructors who adopt the MML product through their
local sales representative or their course administrator.
After registration and upon login, instructors are given
the opportunity to take a tour of the product. As in most
web-enhanced instructional products, certain plugins are
necessary. These plugins can be user installed or installed
by a computer administrator in the event that the instructor
does not have administrator access to the computer. The
administrator can create a Master Syllabus within a "coordinator"
course and copy the coordinator course as many times as
necessary to a "member" course. The instructor
of the member course enrolls as a student and is given
TA status by the course administrator.
From within a selected course, the administrator and
TA have both student and instructor access, although the
TA privileges are restricted. Instructor access is gained
by selecting the tab labeled "Control Panel".
In the control panel area, an instructor can upload or
modify course documents, send e-mails, and manage the
course menu. However, only the administrator has the ability
to modify chapter contents and delete students from the
course. The administrator can also modify MML components
of the course; assign text specific algorithmically generated
homework and tests, set gradebook options, etc. One should
note that there are two gradebooks available from within
the control panel. The first is CC dependent while the
second is from within MML and keeps track of all web-enhanced
assignments (see Figure 4).

Although the CC gradebook can be used for additional
assignments, since it does not track student work done
in MML, most instructors do not use it.
Student Module
Students need to have an access code in order to use
the MML or MXL product. The course materials are generally
purchased as a complete bundled package that includes
the textbook and MML or MXL student access kit. Additional
resources can be packaged but must be specially requested.
A standalone access code can be purchased online via credit
card. MML access codes remain active as long as the instructor
keeps the course open. MXL student codes are good for
12 months or 24 months depending on the text (one term
or two term course). Students have access to a variety
of features like "Help Me Solve This", "View
an Example", section lecture video, animations, and
power points. An individualized study plan is generated
for the student after every test to allow students to
work on material that needs to be studied further.
Product Functionality—Comments
Administrator Module
MML has a clean Administrator appearance. Navigation
from one stage of course/section development to another
is relatively easy and cloning of a course can be done
fairly quickly. Algorithmically generated assignments
and tests can be copied and/or modified using the samples
provided from within the product, or algorithmically generated
problems can be selected from a test bank. Static or algorithmic
tests can be uploaded from a Test Generator and made available
for the web; however, the tests must be in multiple choice
format. All interactive problems coincide with the selected
text. Material that has been deleted from the course syllabus
is automatically inaccessible from the MML test bank,
homework, or study plan. The Administrator has the ability
to simplify the course management interface.
Student Module
Students have complained that the math palette occasionally
disappears, however, the new MXL player release appears
to have diminished or resolved this issue. Having an MML
access code remain active after it has been redeemed for
as long as the instructor keeps the course open is helpful
to students who have for some reason not completed the
course on time. For students who have either not done
well in the course or needed to drop the course, there
is no need to purchase another code if they enroll in
another course using the exact same text. The student
interface appears to be easy to navigate and assignments
easy to access.
General
In general, the overall design and functionality of
this product appears to be theoretically strong in items
1, 2, 3, 4, 5, 6, and 7.
Summary
Table 1 on the next page provides the reader with a quick
overview of the instructional products that were discussed
in Part I of this manuscript. A complete table of all
of the instructional products discussed will be provided
in Part II.

References
- ALEKS Corporation. (2006). ALEKS [Online]. Available:
http://www.aleks.com/
[2006, October 05].
- de Leeuwe, Marcel, (2001). e-LearningSite [Online].
Available: http://www.e-learningsite.com/lmslcms/whatlms.htm
[2006, September 05]
- Doignon, J.P., & Falmange, J.C. (1965). Knowledge
Spaces. New York: Springer.
- Microsoft Corporation. (2006). MSDN [Online]. Avaliable:
http://msdn.microsoft.com
[2006, September 05].
- Martin-Gay, Beginning Algebra, 4th Edition, Prentice
Hall, 2005.
- Pearson Education. (2000). CourseCompass/MyMathLab
[Online]. Available: http://www.coursecompass.com/
[2006, September 01].
Reviewed by Annette M. Burden, Associate Professor,
Mathematics and Statistics, Youngstown State University,
College of Arts and Sciences, (Youngstown, OH). Burden
is an associate professor of mathematics at Youngstown
State University. She is beginning algebra coordinator
and coordinator of the mathematics distance program. Annette
also develops upper level mathematics courses for Empire
State College. She is a member of numerous mathematics
associations and the recipient teaching and service awards.
She also serves on several multimedia advisory panels.
Her e-mail address is aburden@as.ysu.edu.
Send software reviews to:
Brian E. Smith
AMATYC Review Software Editor
Department of Management Science
McGill University
1001 Sherbrooke St. West
Montreal, QC, Canada H3A 1G5
or e-mail: brian.smith@mcgill.ca
(back to top)
The
Problems Section
Edited by Stephen Plett and Robert
Stong
New Problems
The AY Problem Set consists of five new
problems.
Set AW Solutions
Solutions are given to the four problems
from the AW Problem Set that were in the
Fall 2006 issue of The AMATYC Review. (back
to top)
Mathematics
For Learning
With Inflammatory Notes for the Mortification
of Educologists and the Vindication of "Just Plain
Folks"
Alain Schremmer
In the Spring 2004 issue of The AMATYC
Review, Schremmer introduced his idea for an open-source
serialized text: Mathematics For Learning. The
Preface to the text appeared in the Spring 2004 issue with
a new chapter in each subsequent issue of The AMATYC
Review. This issue contains Chapter 6: Repeated Multiplications
and Divisions, with sections on "A Problem With English"
and "Templates." (back to top)

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