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CHAPTER 2
REVIEW OF LITERATURE
This chapter presents a review of the literature. The literature
supported a qualitative study on the initial offering of the Advanced Placement (AP)
Statistics course. Topics covered include theoretical construct, statistics education, AP
statistics, technology in education, problem solving, and cooperative learning strategies.
Introduction
The mathematics curriculum has remained unchanged over the last 50
years even though our society is constantly changing (Good, Murlyan, &
McCaslin,
1992). Students graduating from high school today need the ability to reason and solve
problems, communicate effectively by writing and speaking, and utilize technology in as
many different ways as possible. Our society is more active and interactive than ever
before. The demands of our current society mandates curricular change (AMATYC, 1995). To
meet these demands, educators are moving from dispensing knowledge to facilitating active
learning. Such a path shifts the focus on understanding rather than long, explicit
derivations of meaningless mathematical results in a formal language (Cobb, 1997; Davis,
1992; Moore, 1997). Although students must develop basic mathematical skills, the
processes, concepts, and understanding should take precedence (NCTM, 1989). When problem
solving was integrated with active learning, deeper conceptual understandings were
developed (AMATYC, 1995; NCTM, 1989). Also, AMATYC (1995) recommended that faculty provide
a supportive learning environment and promote an appreciation of mathematics. In order to
reflect that mathematics is an evolving, human endeavor, the way we teach and the way
students learn needs to integrate interdisciplinary problem solving. According to
Schoenfeld (1992) "problems can be related to real world experiences. But a more
interesting aspect of problem solving involves finding patterns that can help understand
the world around us" (p. 343).
Theoretical Construct
Following Piagets influence, circa 1964, ideas and theories
about learning changed (Ernest, 1996). Noddings (1990) described how researchers in
various fields shifted from a behaviorist emphasis to a different learning theory. For
example, some psychologists shifted their ontological position from behaviorism to a
theory that connects cognitive activity and learning. This connection idea evolved into a
learning theory called constructivism. More recently, mathematics educators and
researchers applied constructivism to teaching and learning mathematics. Ernest (1996)
stated that "constructivism is emerging as perhaps the major research paradigm in
mathematics education" (p. 335).
While details of this learning theory generated controversy and debate,
most agreed on the basic premise that individuals constructed knowledge. Hatano (1996)
suggested this construction of knowledge was unique, depending on the learners
experiences, their ideas of reality, and their interpretation of these ideas. Therefore,
each learner arrived with uniquely constructed mathematical ideas.
Pedagogical implications were numerous and complicated. One aspect
relevant to constructivist teaching was that learners constructed new knowledge by
connecting new information to existing information (Cobb et al., 1990; Davis et al., 1990;
Ernest, 1996; Hatano, 1996; Noddings, 1990; Shaughnessy, 1992; von
Glasersfeld, 1992). If
learners were expected to construct accurate ideas, teachers must consider each
individuals preexisting cognitive structures and processes. One pedagogical goal,
therefore, was to uncover students misconceptions and provide opportunities for them
to construct (or reconstruct) sound mathematical concepts that incorporate their prior
knowledge (Hiebert & Carpenter, 1992). However, creating pedagogical models that
assisted students in correcting misconceptions and making these connections has been
difficult. Rather than developing inflexible models reminiscent of behaviorism,
constructivists have suggested pedagogical strategies that actively involve students in
the learning process (Borasi, 1995; Cobb et al., 1990; Confrey, 1990; Davis et al., 1990;
Ernest, 1996; Goldin & Kaput, 1996; Hatano, 1996; Hiebert & Carpenter, 1992;
Noddings, 1990; Shaughnessy, 1992; von Glasersfeld, 1992).
Adapting constructivist ideas to tangible teaching practices challenged
educators. Researchers recommended a variety of ways to incorporate constructivist
techniques into practical application. Goldin & Kaput (1996) discussed the importance
of choosing problems and activities that represent the kinds of mathematical structures
teachers want students to develop. They recommended students incorporate different types
of mathematical thinking: connect mathematical meaning with respect to other domains, use
appropriate skills and procedures, make abstract connections, and apply broad concepts to
a smaller related set. Herscovics (1996) suggested that constructivist teachers present
materials in a way that allowed students to "reconstruct, not reinvent"
mathematical concepts (p. 375). He challenged teachers to remove the formal structure of
mathematics that is frequently beyond students understanding. If a teacher could
answer "What does it mean to understand" a given concept, he or she could work
toward presenting the material in a way that conveys that meaning. Hatano (1996) also
discussed practical implications of constructivist theory on teaching. He recommended that
teachers allocate reasonable amounts of time on new information allowing students to
reorganize existing structures. He argued that, even though connecting new ideas into
existing thought patterns were time consuming, it was necessary if students were to
construct accurate mathematical understandings. Overall, researchers agreed that teachers
concerned with constructivist-based pedagogy should include activities, cooperative
learning strategies, present mathematics as an interdisciplinary subject, and encourage
students to use their individual skills and ideas.
A Model for Constructivist Teaching
Confrey (1990) presented a model for constructivist-based teaching.
The fundamental premise underlying the six components of her framework, was that "the
skill the constructivist must truly develop is flexibility" (p. 108). She further
suggested that the overall aim of a constructivist teacher is to provide opportunities for
students to "develop their own cognition" (p. 110). This model was based on her
belief that instruction should be designed to incorporate individual students views
of learning. Her model required that the instructor attempt to understand the
students background, viewpoint and misconceptions so he or she can assist the
student in developing more accurate understandings.
The first component of Confreys (1990) model involved
students taking ownership of their own learning. She suggested that the instructor
consistently require that students be responsible for their answers. She provided four
techniques to help accomplish this task: ask students if they are right or wrong; require
them to at least explain what they had attempted; act as a facilitator in problem solving;
and involve students in assessing their own work. These techniques encouraged students to
become aware of their thinking processes.
As students learned to think about their own cognition, they developed
reflective thought patterns. For the second element of her model, Confrey (1990) asserted
that "reflection is the bootstrap for the construction of mathematical ideas"
(p. 116). She presented three levels of questioning that focused on students
awareness of their learning processes. First, the instructor asks students to rephrase or
restate the problem. She explained that students cannot solve a problem until they
identify what is actually being asked of them. Next, require the students to explain their
work so the teacher could probe gaps in the individuals thinking. Guided by the
teacher, students were led to reflect on their discrepancies and constructed appropriate
connections. Last, after students have explained the procedure, they must defend their
answer in a way that is consistent with their understanding of the problem and their
procedure to produce the solution. Confrey believed this type of explanation required
reflective processes.
The third component of Confreys (1990) model pertained to the
teachers ability to develop knowledge about the individual learners. To gain insight
into the individuals preconceived ideas, misconceptions, and thinking patterns,
Confrey recommended that teachers work with students individually whenever possible. As
teacher and student converse individually, the teacher can "try to aid the student in
building a more powerful construction, from the students point of view" (p.
120).
Confrey (1990) proposed "identification and negotiation of a
tentative solution path" as the fourth component of her model (p. 120). She
suggested, as teachers discover what was effective for one student, they attempted the
same techniques with another student. However, these same techniques may not have been
effective with another student and the teacher adapted to that individuals ideas and
thinking processes. She stated that the instructor must be flexible and resist rigid
planning or structuring of what must occur in a given lesson. This may appear to lead to
unreliable outcomes. However, the instructor can guide the discussions so that overall
concepts are addressed.
The fifth component involved reviewing the problem with the student.
The purpose was to allow the student to reflect again, obtain overall understanding, and
gain a sense of accomplishment. Confrey (1990) suggested this step is crucial for students
to recognize future problems that might utilize similar solution processes.
Last, the teacher must be committed to presenting the material in a
rigorous manner. Using alternative ways to present and analyze concepts does not undermine
what must be accomplished mathematically. Rather, alternative forms of instruction can
provide opportunities for students to individually construct sound mathematical ideas.
Overall, Confrey (1990) suggested that teachers focus on recognizing
and understanding the individuals ideas and thought processes that each student
brings to the classroom. She outlined a model that provided a framework for the instructor
to facilitate and direct discussion instead of lecture. The recommended techniques were
designed to encourage students to take responsibility for their learning, become aware of
what and how they learn, explain their course of action, and defend their answer. These
techniques engaged students actively in the construction of their own mathematical
learning.
Students Learning in a Constructivist Environment
The learning theory of constructivism was student-centered. It
emphasized the students individual view of reality, how they represented this view,
and how they interpreted this view (Schoenfeld, 1992). Rather than attempting to transfer
knowledge to learners, teachers focused on understanding the individuals ideas in
order to assist them in constructing, or reconstructing, mathematical knowledge. Hatano
(1996) asserted "that students construct mathematical knowledge by themselves can
clearly be seen in procedural bugs and misconceptions" (p. 207). He further suggested
these misconceptions evolve from their attempts to fit new ideas into existing, but
conflicting, cognitive structures. Specifically, a misconception was invented by a learner
as a result of trying to make sense of his or her limited experiences. Schoenfeld (1992)
discussed how learning involved an overall context consisting of interlocking pieces. He
stated that researchers have little understanding of how these pieces were constructed or
how they were used to connect to each other. Borasi (1996) examined learning processes in
constructivist environments. She concluded that students, with different abilities and
backgrounds, who were taught mathematics in a constructivist manner were empowered to make
mathematical connections.
Statistics Education
As our world became more dependent upon technology and the
application of rapidly changing information, statistics educators agreed that teaching
statistics was increasingly more important (Cobb, 1992; Garfield, 1995; Moore, 1997;
Shaughnessy, 1992). Statistics pervaded the American culture (Cobb, 1992). Citizens were
bombarded with conclusions based on statistical analysis daily via the press.
Corporations, all levels of government, and educational organizations made decisions based
on the results of statistical studies. The increased use of statistics called for greater
statistical understanding (Cobb, 1997; Moore, 1997; Shaughnessy, 1992). According the
Shaughnessy (1992), whether we teach it or not, people will use and misuse statistics
probably more than any other field of mathematics.
Consistent with the current reform movement in mathematics education,
statistics educators and researchers challenged teachers to examine their teaching
practices. They recommended that teachers teach in a way that addresses different learning
outcomes. Cobb (1992) suggested the goal in a statistics course was for students to emerge
with the ability to read and understand statistics that are available in scientific
publications, newspapers, and television. Shaughnessy (1992) wrote that all our students
eventually become consumers and citizens in a society that uses statistics to communicate
information and influence the masses. For educators, it was apparent the role and flavor
of teaching statistics must reflect the challenges that society placed on our students and
graduates (MAA, 1991; Velleman & Moore, 1996).
Cobb (1997) suggested that a statistics course offers opportunities to
investigate real world situations even though many courses fail to accomplish this. He
further stated too many statistics courses were presented like traditional mathematics
courses that stressed theory. He acknowledged that many teachers perceive that a
"good" statistics course emphasized mathematical rigor rather than analytical
thinking. However, researchers involved in statistics, envisioned statistics as a course
in problem solving, rather than just traditional subject matter (Cobb, 1997; Garfield,
1995; Shaughnessy, 1992). Garfield (1995) described advantages of teaching from a problem
solving perspective. If analysis was stressed, she claimed, then students learned that it
was important to make claims, determine if their claims are appropriate, and defend their
claims.
Cobb (1997) suggested that statistical thinking was different from what
was presented in traditional mathematical courses. Cobb and Moore (1997) explained that
statistical analysis was always within context. Data were not just numbers, but numbers
embedded within the context of a specific problem. Scheaffer (1992) expanded this and
suggested that these contexts must be real to the students. He rejected the practice of
investigating data from contrived textbook examples. He explained that for students to
intelligently explore data, they do not need extensive knowledge of statistical methods,
but rather, practice at deep analysis of legitimate, real world questions.
Scheaffers reasoning was based on his belief that "the most important decisions
in a students life will involve data. Thus it is initially important that students
be taught to gather data intelligently and look carefully and critically at all data
presented to them" ( p. 70). Cobb (1992) revealed a similar idea.
We believe students should appreciate how statistics is used in the endless cycle
associated with the scientific method: we observe Nature and ask questions, we collect
data that shed light on these questions, we analyze the data and compare them to what we
previously thought, new questions are often raised, and on and on. This type of
statistical thinking is central to education. (p. 36)
Other statistics teachers and
researchers expressed the same idea that statistics courses should focus on data analysis
and critical thinking using realistic questions (Hogg, 1992; Moore, 1997;
Shaughnessy,
1992; Tukey, 1977; Velleman & Moore, 1996; Watkins et al., 1997). Overall, there was a
consensus among statistics teachers and researchers that students must be exposed to
analytical thinking in real world contexts.
Even though statistical training was a necessary tool for reading and
understanding information presented in day-to-day situations, many high school curricula
did not include a statistics course. Those schools that did teach statistics, often
presented it as a branch of mathematics emphasizing mathematical rigor and proofs rather
than techniques of problem solving and analytical thinking. This emphasis on mathematical
rigor often frustrated and alienated students (Gordon & Gordon, 1992; Willett &
Singer, 1992). Therefore, in response to the growing demand for statistical literacy, the
College Board implemented an AP Statistics course that utilizes a concept-oriented format.
AP Statistics
The College Board recognized the growing interest in statistics
education in college curricula and implemented an AP Statistics course in 1996-1997. The
AP Statistics Test Development Committee, appointed by the College Board, recommended the
inclusion of technology, projects and laboratories, cooperative group problem solving, and
writing as a part of concept-oriented instruction and assessment. The Committee referred
to concept-oriented instruction as a phrase to represent teaching strategies that
"engage students in constructing their own knowledge" (College Entrance
Examination Board, 1997, p. 10). These teaching strategies involved students in the
learning process via activities.
To incorporate activities into the classroom the Committee suggested
that students gather data, interact with the data to create models, and generate and test
hypotheses. The Committee further stipulated that as students participate in these
activities, the teacher "serves in the role of a consultant, rather than a
director" (p. 10). They stated two advantages of this pedagogical technique. First,
when students gathered and analyzed their own data, they had the opportunity to think
through problems, make decisions, and discuss their ideas with others. These first hand
experiences allowed students to construct their own ideas and justify their processes by
explaining their procedures. Second, these instructional strategies provided opportunities
for students to make interdisciplinary connections to other academic subjects and with
elements of the outside world (College Entrance Examination Board, 1997). Statisticians
suggested that educators implement scenarios that emulate realistic interdisciplinary
situations drawing on a variety of resources and connections to answer questions and solve
problems (Cobb, 1997; Garfield, 1995; Moore, 1998; Shaughnessy, 1992). Moore (1998)
explained that "statistics is by nature a methodological and interdisciplinary field
that faces in many directions and interacts with many other professions and areas of
study" (p. 10). The AP Statistics Test Development Committee acknowledged the
changing role of statistics and developed a course whose foundation included
concept-oriented instruction, active involvement of the students, and practical,
interdisciplinary applications. Since the initial offering was in 1996-1997, there was no
research available on the AP Statistics course.
Technology
In the last 25 years, changes in technology have created a new
learning environment for mathematics teachers and students. Not only have the speed and
efficiency of computers and calculators increased dramatically, but also decreased prices
have enabled more school systems and individuals to take advantage of modern equipment.
For many educators, the increased availability of technology revolutionized the art of
teaching mathematics and statistics (Cobb & Moore, 1997).
The National Council of Teachers of Mathematics (NCTM; 1989), the
Mathematical Association of America (MAA; 1991), and the American Mathematical Association
of Two-Year Colleges (AMATYC; 1995) claimed that the use of technology was an essential
part of an up-to-date curriculum. Due to the technology explosion in the 1980s and 1990s,
more workers were expected to be mathematically literate (MAA, 1991). Simultaneously, more
workers utilized computers or calculators. Supply and demand revolving around technology
and statistics appeared to be circular. Mathematicians relied more on technology while the
technical world increasingly expected people with greater mathematical skills and
understandings. In addition to meeting the demands for this evolving aspect of our
culture, technology could be utilized to explore, test hypotheses and discover patterns.
Utilizing technology provided an opportunity for students to develop higher order thinking
skills. AMATYC (1995) suggested that a mathematics classroom provided the natural and
appropriate place for such learning to occur.
Cobb (1992) suggested that technology could be used to enhance
learning. He explained that computers and calculators present the information visually,
allowing students to construct multiple representations. In addition, computers and
calculators provided a vehicle for students to engage in exploratory data analysis (Cobb,
1992; Garfield, 1995; Moore, 1997; Scheaffer, 1992; Watkins et al., 1997). Tijms (1992)
stated that the use of technology allowed students to explore, discover, and construct
concepts on their own. He claimed that many fundamental concepts were difficult and
students were more successful at understanding these ideas when they had direct experience
and actual experimentation. Moore (1997) explained that using technology to perform
automated calculations allowed teachers to focus on the conceptual components that were
not automated. The MAA (1991) recommended the use of technology to "pose problems,
explore patterns, test conjectures, conduct simulations, and organize and represent
data" (p. 7). They explained that the exploration of mathematical ideas from
different perspectives resulted in deeper mathematical understanding.
Many statistics teachers recognized the abstraction of statistics and
probability concepts. To help students understand these abstract ideas, computers and
calculators simulated situations that displayed the inherent variation. Simulations could
provide a tool for students to examine and discover solutions to problems whose variation
is controlled by chance (MAA, 1991). However, Scheaffer (1992) cautioned that while
simulations could lead students to stronger intuitive ideas about probability and
statistics, the emphasis must remain on the mathematical concepts rather than the
technological methods.
Multimedia recently emerged as an option for technology-based
instruction. A multimedia learning environment referred to using a computer, usually with
a CD-Rom, to access text, sound, still images, video, animation, and computer simulations.
Velleman and Moore (1996) discussed the advantages and disadvantages of implementing
multimedia to teach statistics. The main advantages that multimedia offered were
individualized instruction and simulations that engaged the learner actively. Students
controlled the pace, repeated segments if necessary, and worked at their own convenience.
However, Velleman and Moore (1996) also offered disadvantages. Video clips did not engage
the learner actively. Spoken narrative, without interactive components attached, was
likely to be ineffective. They expressed concern that students might not regard computer
generated data as simulations of real world phenomena. Another disadvantage was the CD-ROM
could not investigate students thinking nor probe misconceptions. However, Velleman
and Moore (1996) stated that multimedia offered remarkable challenges and opportunities
for teaching and learning statistics. No research was yet available on multimedia or its
effects on students learning.
Technology played a large role in the AP Statistics course. The Test
Development Committee recommended the use of calculators, computers, and simulations
(Watkins et al., 1997). They required the use of a graphing calculator for the AP
Statistics exam. While they believed that computer utilization was a critical part of
statistical analysis, the Committee recognized that all students did not have equal access
to computers. Therefore, generic computer output was provided on the exam. Students were
expected to be able to read, interpret, and analyze this output.
Researchers no longer recommended that students memorize long, detailed
formulas and compute laborious calculations (Borasi, 1995; Cobb, 1997; Davis, 1990;
Dunham, 1994; Garfield, 1995; Hatano, 1996; Hoek, 1997; Konold, 1995; Moore, 1997;
NCTM,
1989; NRC, 1989; Shaughnessy, 1992). Consistent with a shift in emphasis, statistics
emerged as a flexible and creative course that utilized mathematical reasoning in order to
analyze data. Students could interact with data to formulate, analyze, and alter a model
more efficiently by using technology. While teachers facilitated the investigations,
students individually explored realistic situations, constructed hypotheses, tested
hypotheses, and made conclusions. By utilizing computers or calculators, data analysis
actively involved students and provided a classroom environment where speculation and
conversation were appropriate and appreciated. Constructivists recommended allowing
students to investigate topics of their own interest and explore data using technology
(Cobb et al., 1990; Confrey, 1990; Davis, 1990; Dunham, 1994; Schoenfeld, 1992;
Shaughnessy, 1992).
Problem Solving
One goal for mathematics educators was to teach students how to
think, reason, and solve problems (AMATYC, 1995; NCTM, 1989; NRC, 1989). Although it was
necessary to learn mathematical procedures, it was important for students to progress
beyond the level of rote memorization and traditional textbook examples. Problem solving
served as means for developing new skills, including reasoning, while practicing
techniques. AMATYC (1995) wrote that
More emphasis should be placed on developing student understanding of concepts, helping
them make connections among concepts, and building their reasoning skills in preparation
for higher-level courses in mathematics and related fields. (p. 36)
Meaningful learning connected
existing knowledge to new information. The challenge for educators was to provide
experiences that facilitate this process (Cobb & Moore, 1997). Understanding occurred
as learners integrated new and old information by making connections in a variety of ways
(Brown & Borko, 1992; Hiebert & Carpenter, 1992). Effective pedagogical techniques
presented new content so students could reason and relate it to what they already knew.
Developing reasoning abilities was only one advantage of using problem
solving techniques. Mathematics programs needed to provide an environment where students
saw mathematics as an enriching and empowering discipline (AMATYC, 1995). Textbook
examples were frequently uninteresting and out of date. How could students appreciate
mathematics when it was only illustrated using rote memorization and manipulation of
formulas that have no personal meaning? Mathematics could be presented using problem
solving techniques related to history, sociology, business and other seemingly
non-mathematical fields. Students could come to see mathematics as a broad, overlapping
discipline that affects many aspects of life. If educators expect students to appreciate
mathematics, instructors must move away from exercises that have no meaning, move away
from artificial problems with "the right answer," and move toward the idea that
mathematics is a process. As previously stated in this chapter, statistics is a discipline
that easily incorporates problem solving, active involvement that assists students in
developing reasoning skills, and interdisciplinary situations that allows students to see
mathematics at work in their daily lives.
Cooperative Learning Strategies
Consistent with constructivist theory, Lambert (1995) claimed
students construct knowledge through classroom interaction. Small group instruction was a
strategy frequently recommended to engage learners actively (Garfield, 1995; Good et al.,
1992; MAA, 1991; NCTM, 1989).
Noddings (1990) asserted that cooperative learning strategies provided
the opportunity to achieve several goals. Allowing students to verbalize their own
mathematical thoughts provided a unique learning opportunity. The MAA (1991) recommended
that students respond to questions that encouraged conversation among students. Cobb
(1992) suggested that students constructed deeper understandings when placed in small
groups where they could "argue convincingly for their approach among conflicting
ideas and methods" (p. 25). Lochhead (1991) connected group work to constructivist
learning. He stated that group discussions allowed students to construct, evaluate, and
modify their ideas. Noddings (1990) suggested that students also gained from others
thought processes. When one student explained an idea to another student, both
participants benefitted from the interaction. Sometimes students presented invalid
arguments and the group assisted this individual reach more sound, mathematical
justifications. Adams and Hamm (1996) concluded that students learned to assimilate new
information and create new knowledge by interacting with others.
Another advantage to group problem solving was that students could
solve more difficult problems than they would be able to solve on their own (Good,
Reys, Grouws, & Mulryan, 1989; Lambert, 1989). Borasi (1996) found that communication among
students was a crucial component of group projects that were designed to expand students
reasoning abilities. Velleman and Moore (1996) suggested that "students learn by
participating in group discussions and cooperative problem solving" (p. 218). They
explained that discussion, where students apply their knowledge to difficult and
complicated scenarios, encouraged "higher order learning" (p. 218). Hoek (1997)
concluded that students who received an experimental program that stressed cognitive
strategies within cooperative groups scored higher on the Mathematical Reasoning Ability
test. Brush (1996) also concluded that students who used cooperative strategies during
mathematical instruction performed better on standardized tests. Researchers suggested
that small group activities provided opportunities for students to construct deeper
understanding by solving more complicated problems.
Watkins et al. (1997) suggested that students did not appreciate the
intricate details of statistical analysis until they encountered these details in
realistic situations. Group projects could provide opportunities for students to
experience statistical analysis. Watkins et al. (1997) recommended that AP Statistics
students work in small groups to collect and analyze data. Group projects provided
opportunities for students to discuss ideas, decisions and conclusions with other students
and the instructor.
Summary
This chapter presented a review of the literature. Based on the
constructivist theory of learning, many educators advocated actively involving students in
the learning process. The AP Statistics Test Development Committee recommended the use of
technology, projects and cooperative group strategies, and assessment that incorporates
writing. Statistics educators suggested using computers and calculators to facilitate
students interaction with data. Active involvement could also be accomplished with
projects, group problem solving, and technology-based simulations. No research had been
conducted on the AP Statistics course. The next chapter presents the methodology for a
qualitative study that investigated students learning in an AP Statistics course.
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