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Use of Brief
Collaborative Quizzes on New Quantitative Lecture Material
Douglas
W. Mallenby
Creighton
University College of Business Administration
2500
California Plaza
Omaha,
NE, 68178-0308
Michel
L. Mallenby
Department
of Mathematics and Computer Science
Creighton
University
2500
California Plaza
Omaha,
NE, 68178-0308
Overview
College students continue to be challenged by
quantitative models and applications that appear in most majors and many
courses across the curriculum. Failure
rates in quantitative courses are substantial in many schools. Even successful students often express dissatistfaction with
this material. We use out brief
collaborative quiz (BCQ) process to promote student learning
and increase student satisfaction in the study of difficult quantitative
topics. The BCQ process
combines several aspects of teaching effectiveness: peer interaction,
active learning, assessment, effective grading, instant feedback, time
management, student responsibility, attendance, and motivation.
We have used the quizzes for many years with much success in
statistics classes and in mathematics classes such as calculus,
trigonometry, algebra, and finite math, with class sizes ranging from 10
to 120 students. Other application areas would include economics, accounting,
finance, operations management, and any course with quantitative
components such as psychology and sociology.
Literature review
Recent emphasis on teaching has shown the benefits
of collaborative learning (Thomchick, 1997; Slavin, 1990), assessment
(Angelo and Cross, 1993), and effective grading techniques (Walvoord and
Anderson, 1998). A number
of variations on and alternatives to the classic lecture format have
been found to enhance learning. A
primary feature of these methods is to engage the student actively (Salemi,
2002; Silberman, 1996). While
unannounced or pop quizzes have been used for many years to try to
increase student preparation, they are not popular with students.
Athough any specific piece of the BCQ may not be new, the
innovation is the specific combination of the several parts to
simultaneously address multiple learning goals both efficiently and
effectively.
The BCQ Process
At the end of a standard lecture, students are
given a quiz over the material just presented.
They may use notes and texts, and are encouraged to confer with
classmates in answering. Quizzes
are usually worth five or ten points and cannot be made up.
They take ten to twenty minutes at the end of class, and are
given one to three times per week, beginning with the first or second
day of class. Students know
that a BCQ can be given at the end of any class section at the
discression of the professor. Thus
from a student point of view, the BCQ are random.
They find out only when it actually occurs.
BCQ questions may be prepared in advance, or prepared on the
spot. They are very simple,
direct, and just like class examples.
They help students learn challenging new notation, terms,
concepts, and methods. The
professor answers queries only about previous class examples, class
notes, or clarification about the problem.
After a quiz paper is collected from each student, the answers
are presented just before the end of the class.
Graded quizzes are returned at the start of the next class, and
solutions may be shown again as a review and to enable quick response to
student queries.
The purpose of the quiz is threefold.
Because the instructor may pause several times during the course
of the lecture and ask whether the students understand the process well
enough to replicate it on a BCQ or if they need more examples, student
response is elicited immediately and attention level remains high.
Finally, the experience of the professors allow them to pinpoint
topics likely to cause ‘thinking snags’ which may trip up students
on homework and tests if not caught quickly. [A very simple example is
the tendency of students to reduce (2x+3y)/2x to (1+3y).]
These snags seem to be ironed out much more readily with simple
quizzes worth points than with repeated warnings in a lecture.
Also, it is easier to form a correct firms impression in the
student mind than to overcome a previously anchored incorrect view.
There are several collatoral benefits to the BCQ
process. Typically, scoring
BCQ quizzes occurs just after class and takes very little time. This gives the professor a quick assessment of the exact
nature of any misunderstanding about the new material. We use this feedback to guide continuous improvement
activities in the course. Because
students confer with eachother, anxiety is reduced and a more relaxed
and friendly classroom atmosphere is produced.
The students appreciate the instant feedback and the chance to
get on top of the day’s material right away, while help is available
from classmates.
In other words, the BCQ provides a bridge to
assigned homework problems, which are typically more complicated and
demanding. BCQ points are
seen as a reward for attendance and paying attention, and frequently
students request a BCQ or additional questions.
Over the past twelve years of use, student response to the BCQ
(as recorded on anonymous end of semester classroom evaluation forms)
has been universally positive.
Differences
Some important variations from methods previously
reported in the literature should be noted.
Formal student groups or teams are not formed for the BCQ
in-class activity. We
encourage students to discuss with eachother, they may either seek help
or give help. We allow them
to make their own contacts, they are not forced to do so.
Contrary to classical assessment methods, our BCQ has points
attatched. Points motivate
attendance, active participation, and learning.
Quizzes cannot be made up because the situation of fresh material
and peer help cannot be replicated.
Finally, a BCQ covers material freshly presented.
They do not involve previous lectures or assigned homework
problems. The idea is to
engage the student immediately to improve learning and student
satisfaction.
Of course, the use of the BCQ does not preclude the
use of formal groups, standard assessment, or other learning enhancement
techniques. We expect
professors to match our success using the BCQ, and they may even create
modified versions to fit their own situations.
Sample BCQ Questions with Response
BCQ questions are very simple and straightforward,
to engage students thinking about the new material.
BCQ is ‘bare bones’ whearas homework assignments rapidly
progress in context and variety. Let
us take for example a statistics class period introducing the Central
limit Thereom (CLT). This
is a ‘statistical law of nature’ for our world of variation.
In the class notes the concept is defined and examples given.
CLT gives the sampling distribution of a sample mean random
variable. When sampling
from a Normally distributed population, the sample mean also has a
normal distribution. When
sampling from a population of unknown distribution, the sample mean has
an approximate Normal distribution if the sample size is large enough
(twenty five is large enough for practical purposes).
Sample queries with a correct response are given below.
Students’ written response must show understanding of the
modeling method or process to get credit.
Making a diagram for a distribution is a must, showing values on
the number axis and identifying probabilities as areas under the curve.
1a. CLT:
Random sample of n=25 from X~(50,5), then Xbar~N(50,1), find
P(Xbar<52)
Response: P(Xbar<52) = P(Z<(52-50)/2)~.9772.
Diagram shows the area to the left of 2.
1b.CLT:
As above with n=100, find P(Xbar<51.5).
Response: sigma/Sqrt(n) = 5/SQRT(100) = .5,
Xbar=N(100,.5)
P(xbar<51.5)=P(Z<(51.5-50)/.5=3)=.99865. Diagram shows area to the left of 3
1c. CLT: As above with n=10, find P(Xbar<54)
Response: n too small, CLT does not apply!!!
References
Angelo, T.A.;Cross, K.P. Classroom Assesment
Techniques 2nd, 1993, Jossey-Bass, San Francisco
Salemi,M.K. An illustrated case for active
learning. Southern Economic
Journal.
Jan 2002, 68:721-729
Silberman, M. Active Learning, 1996, Allyn &
Bacon, Massachusetts.
Slavin, R.E. Cooperative
Learning. 1990. Englewood
Cliffs, NJ. Prentice-Hall
Thomchick, E.
The use of collaborative learning in logistics classes. Journal of Business Logistics. 1997,18:191-205.
Walvoord, B.E., Anderson, V.J. Effective Grading, 1998, Jossey-Bass. San Francisco.
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