Research Matters - to the Science Teacher
No. 9802 March, 1998
Metacognitive Strategies To Help Students Learning How To
Learn
Joseph D. Novak, Department of Education, Cornell
University
Introduction
Strategies to help people learn go back to our educational
origins. For example, Socrates developed the technique of Socratic
questioning, where he sequentially asked questions to draw out the
knowledge he believed was in the minds of all persons, slave or
emperor. While there is still much we do not know about learning, we
know that knowledge must be acquired by the individual, and that
knowledge previously learned influences the acquisition of new
knowledge. We know that learning can be essentially by rote
memorization, with little interaction with previous learning (and
usually very short retention) to highly meaningful learning
where the learner integrates new concepts, propositions and images
into previously acquired structures. We know that the learner
chooses to learn by rote or meaningfully and part of the task
of teachers is to help the learner choose powerful meaningful
learning approaches. Metacognitive strategies are strategies
that empower the learner to take charge of her/his own learning in a
highly meaningful fashion.
Metacognitive strategies include metalearning, or learning
about meaningful learning, and metaknowledge, or learning
about the nature of knowledge. Our research has shown that few of the
students we have studied at the secondary or college level have had
any formal metacognitive instruction. Some students have had
instruction on "how to study", but this deals primarily with
techniques for time management, concentration, test taking, and
memorization. Metalearning strategies help the learner understand
that meaning derives from the concepts and concept relationships we
have and new relationships we assimilate into our existing knowledge
frameworks. The learner becomes aware of the limited capacity of
Short-Term Memory (STM); only about seven "chunks" of knowledge can
be manipulated at a time; and the important role that the
organization of knowledge in Long-Term Memory (LTM) plays in what we
perceive in a message and nature of the "chunks" we can use in STM.
Thus a learner who has knowledge organized into large, integrated
conceptual frameworks can assimilate more related knowledge in less
time and with greater potential for transfer and application.
Metaknowledge strategies help students to understand that concepts
are constructed from perceived regularities in objects or events and
that we use language or symbolic labels to designate these
regularities. Creativity is involved in constructing new concepts,
and meaningful learning is the principal process by which humans
acquire most of their usable knowledge. The interplay between various
concepts, principles, theories, and philosophies as they are involved
in selecting or interpreting observed objects or events is a
necessary part of metaknowledge instruction. When successful,
metaknowledge strategies lead to understanding how humans
construct knowledge and also offer practice in the process of
constructing knowledged claims and value claims about
some observed regularities in objects and/or events. Thus a science
student comes to understand how a laboratory experiment illustrates
the ways in which scientists have constructed knowledge claims about
the observed events or objects. They also learn that all knowledge
claims are accompanied by at least an implied value claim (i.e., this
knowledge claim is worthwhile), and they learn to discriminate
between knowledge claims and value claims.
In our work at Cornell University, we have developed two tools
that aid in metacognitive learning. The concept map (see
Figure 1) when constructed by students helps to illustrate that we
use language labels to construct concept and propositional
relationships about a domain of knowledge. The concept map thus
serves as a tool to illustrate the hierarchical,
conceptual/propositional nature of knowledge. It also serves as a
tool to help learners organize their cognitive frameworks into more
powerful, integrated patterns. Thus, concept maps serve both as
metaknowledge and metalearning tools.
Vee diagrams (see Figure 2) are tools to help students
construct the interacting set of elements that are involved in
knowledge production. Vees serve as a scaffolding or normative device
assuring that all of the elements receive due consideration in the
process of seeking knowledge and value claims directed by the focus
question. Our experience has been that Vee diagramming is more
challenging than concept mapping for both students and teachers. This
derives in part from the positivist philosophy embedded in
most school and college learning, whereas Vee diagramming is rooted
in an event-centered, constructivist philosophy now generally
accepted by philosophers (Novak, 1993a).
Concept maps and Vee diagrams are valuable tools that help
students "unpack" the knowledge in text, laboratory or lectures, and
they are powerful tools for curriculum design. These metacognitive
tools show promise not only for the improvement of learners, but also
for the empowerment of teachers and curriculum planners (Novak &
Gowin, 1984; Mintzes, Wandersee, & Novak, 1998; Novak, 1993b;
1998).
References
Novak, J. D., & Gowin, D. B. (1984). Learning How to
Learn. New York: Cambridge Univ. Press.
Novak, J. D. (1993a) Human Constructivism: A unification of
psychological and epistemological phenomena in meaning making.
International Journal of Personal Construct Psychology,
6,167-193.
Novak, J. D. (1993b). How do we learn our lesson? The Science
Teacher, 60(3), 51-55.
Mintzes, J., Wandersee, J., & Novak, J. (Eds.). (1998).
Teaching Science for Understanding. San Diego, CA: Academic
Press.
Novak, J. D. (1998). Learning. Creating, and Using Knowledge:
Concept Maps as Facilitative Tools in Schools and Corporations.
Mawah, NJ: Lawrence Erlbaum.
Research Matters - to the Science
Teacher
is a publication of the National Association
for Research in Science Teaching
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