SELF BELIEFS
OF KNOWLEDGE
Stuent’s beliefs about the
nature of knowledge have important concequences and critical thinking. Beliefs
about the origin and nature of knowledge, or epistemological beliefs have been
of interest since the Greek Philosophers. One of the earliest educators to
investigate this phenomenon was Perry (1970). In the early stages, students
adopt what Perry refers to as a dualist perspective, in which knowledge is
viewed as either righ or wrong. Then Ryan (1984) provided an experimental test
of Perry’s basic framework and concluded that relatibists not only hold
different beliefs from dualists but also approach learning in a more
sophisticated way.
Then Schommer’s study suggests
that people hold extremely complex belief about knowledge that very across four
separate dimensions. The first dimension, simple knowledge, refer to the belief
that knowledge is discrete and unambigous. The second dimension, certain
knowledge, pertains to the belief that knowledge is constant. The third
dimension is fixed ability, that is the belief that one’s ability to learn is
inborn and cannot be improved through either effort or strategy use. The final
dimension, quick learning, refer to the belief that learning occurs quickly or
not at all.
The amount of higher education
that students receive is inversely related to their belief in certain
knowledge. One important implication of this finding is that better educated
people may be more willing to adopt a constructivist approach to learning
because believing that knowledge is certain should rarely lead one to question
the legitimacy of that knowledge. Another interesting finding is that females
are more likely to believe that learning is gradual rather than quick. This
belief may lead females to stick with a difficult to learn aubject longer than
males and to feel less frustrated when an answer does not occur immediatelly.
An analysis of the relationship
between beliefs about knowledge and information processing strategies showed
that quick learning predicted oversimplified conclusions when students were
asked to provide a written conclusion to a chapter on theories of aggression.
Prior knowledge also was related to the
type of conclusions students drew in that more knowledge about the topic was
associated with broaded conclusions.
Jehng, Johnson, and Andreson
(1993) found that epistemological beliefs differ across academic disciplines
among college undergraduate and graduate students. Students in soft
disciplines, such as the humanities, were more likely to believe that knowledge
is uncertain than studemts in hard disciplines, such as physics. Compared with
undergraduates, graduate students were more likely to believe that knowledge is
uncertain and develops incrementally (they did not believe in quick learning).
Bundixen, Schraw, and Dunkle (1998) founs that epistemological beliefs were
related to moral reasoning among adults. Kuhn and colleagues found that
epistemological beliefs are related to one’s ability to argue persuasively. In
this study, individuals were classified as an absolutist (one who believes that
knowledge is absolutely right or wrong), a multiplist (one who believes that
knowledge is completely relative), or an evaluative theorist (one who believes
that knowledge, though relative, is constrained by situational factors such as
commonly accepted rules) on the basis of their beliefs about the certainty of
knowledge.
Elsewhere, Schoenfeld (1983)
investigated concequences of quick learning. Schoenfeld reported that even
experienced students who were asked to solve mathematics problems gave up after
5 to 10 minutes on the assumption that if they failed to solve the problem
during this time, the problem could not be solved.
Together, these studies indicate
that beliefs about knowledge and the knowing process affect the way one
reasons, how long one persists at a difficult task, the degree to which one is
metacognitively engaged in self regulatory activities, and perhaps what
academic discipline one enters ( Muis, 2008; Schraw, 2001). They also indicate
that epistemological beliefs are affected by home environment and in particular
by educational level.
REFLECTIVE JUDGMENT
Another
framework for studying beliefs about knowledge and how they affect behaviour is
that of Kitchener and King (2004) and King and Kitchener (1994, 2002). The
focus of this research is somewhat different from Perry's in that it emphasizes
examining differences in the way people resolve dilemmas rather than
differences in their beliefs per se. In their initial study, Kitchener and King
(1981) developed a seven-stage developmental model of reflective judgment.
STAGES INREFLECTIVE JUDGMENT
Reflective
judgment is assumed to develop in a sequential fashion; that is, individuals
progress from Stage 1 to higher levels without skipping stages. This does not
mean that each person reaches the highest stages or that two people progress at
the same rate. Rather, development of reflective judgments highly
idiosyncratic. Each stage is associated with a unique set of assumptions about
reasoning. These assumptions pertain to certainty of knowledge, processes by
which one acquires knowledge, and kinds of evidence used to evaluate claims
about knowledge level Performance Certainty Justification of Conclusions.
Fixed Absolute;
certain. Personal beliefs that is self-evident. No justification or evidence
given. 2 Fixed Absolute; certain. Recognized authorities. Direct observation of
world. 3 Fixed Temporarily uncertain. Authorities or direct observation when
knowledge is uncertain. 4 Changes Permanently uncertain. Idiosyncratic beliefs.
5 Changes Permanently uncertain. Rules of inquiry for a particular context
(e.g., societal norms). 6 Changes Certain in a context. Evaluation of objective
evidence via personal criteria. 7 Changes Certain in a context. Formalized
rules of inquiry (e.g., logic). Evaluation of empirical data.
Example in mathematics learning : if we want
to improve our students
mathematical concept beliefsinSelf-believe in knowledgewemust know about their needed. To improve it they need
something which suport to improve it, that is motivation in competition so we
can use some quiz to stimuling our student to improve their mathematical concept beliefs, and we give some
award to them. Especially we must make them enjoy with mathematics and always
believe about themselves in mathematics, they believe that they can do that
(mathematics).
REFLECTIVE JUDGEMENT AND EDUCATION
The work of Kitchener and King raises important
question about the nature of teaching and learning. Does some factors and
aspects such as classroom environment, student autonomy, dispositional
characteristics (someone's degree efficacy, attribution style, or personal goal
orientation), age, educational background and home environment, have some
relation in reflective thinking and reflective judgment?
A research of Kitchener and King result that
high school and college student has similar ways in tended to reason about
different kind of problems. Style of reasoning typically was confined to the
same or adjacent stages, suggesting that people's basic assumption about
knowledge lead to predictably similar conclusions. Subsequences research
support the view that individuals reason at more or less the same level
regardless of the problem type. Then there's a
research about the relationship among age, educational experiences and
reflective judgment. It result that the high school students tended to reason
lower stages compared with college undergraduates or graduated students. This
is suggesting that the amount of education that someone receives is clearly
linked with the sophisticated of one's reflective reasoning. These findings are
consistent with a number of other studies that indicate that continued
education is related positively to relativistic beliefs and more sophisticated
reasoning.
Although there's no differences were found
between males and females in any seven stages, students' verbal ability was
highly correlated with reasoning ability. Those with better verbal skills tended to to reason at higher stages
than those with lower scores. One important finding was that the students
progressed sequentially through adjacent stages rather than skipping or more
stages. Another finding was that some groups progressed faster than others,
although differences in the rate of development were attributable, in part to
the facts that some groups started at a very high level. A comparison of these
stage scores reveals several interesting points. First, the differences in
reflective judgment need not to be viewed as permanent. Given adequate
instructions and age-related maturation, most students can be expected to improve their reasoning abilities overtime. Graduate
school improves one's reflective judgment substantially.
Example in mathematics learning : The development of reflective
judgment offers the teachers--mathematics teacher for example—information about
how student at different age/educational environment level differ in the ways
of thinking in which they assumptions about knowledge and reality. In this
case, the teacher should choose the best learning method that can be used
because the degree to which students' assumptions about reality and knowledge
color how they understand in the learning process and consequently education
itself may account for the varied interpretations of the educational process
which student hold and which are often in conflict with the viewpoints of the
teachers. When students learn about the concept of daily life mathematical
problem in realistic mathematics, it can produce the students who can solve the
problem maturely, making decision in right way of thinking and makes judgment
wisely.
EDUCATION AND THINKING
Education major were far more likely than science major to believe in
certain knowledge and quick learning. In general, undergraduate science majors
held more sophisticated beliefs about knowledge, which appeared to effect their
everyday decision. A classic study by Lehman, Lempert and Nisbett (1988),
however, found that one's academic major can shape one's way of thinking in
important ways. Results of the Lehman et al. study some of the important
questions raised earlier. First, students' reasoning skills are affected by the
intellectual training they receive. Second, students don't appear to choose an
academic discipline solely on the basis of skills they already possess. None of
the students differed initially on any of the reasoning tasks or on intellectual
ability. Returning momentarily to findings summarized in Schommer-Aikins
(2002), it is probable that under graduate education majors, compared with
science majors, subscribe to different beliefs about knowledge for one of two
reasons: either they are seldom required to question these beliefs, and so they
do not, or beliefs supporting simple knowledge and quick learning are reflected
in the classes they take.
A more recent study by Lodewyk (2007) found
that beliefs and attitudes had different effects on different types of problem
solving. High school students reported their epistemological beliefs using a
measure based on the five beliefs described by Schommer (1990). Simple beliefs
were related to lower levels of reflective judgment. In addition, beliefs were
related differently to ill-defined versus well-defined problems in problems
solving task. More sophisticated epistemological beliefs were related to
performance on the ill-defined tasks, but not on the well-defined task. One
explanation is that beliefs and assumptions may be more important when solving
ill-structured problems.
Example in mathematics learning : When the students have had skills and academics
knowledge about mathematical material, such as geometry, algebra, and
trigonometry concept, then when the students face the mathematical problems—at
school or in a daily life—they can solve the problems and making decision in
the best ways of thinking. As mathematics teachers, they should giving the students
mathematical concept beliefs and construct them so that the student can use it
in the daily life.
Group :
1. Rizqi Nefi Marlufi (13301241035)
2. Muhammad Fajar Romadhonni (13301241051)
3. Endah Kusrini (13301241075)
References:
Brunning, Roger H etall. 2011. CognitivePsychologyandInstruction.
United States: Pearson

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