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Where Does Metacognition Come From? (Pt.2)

8/13/2017

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     The study of the brain has been uniquely divided between neurology and psychology for many years. Psychology has traditionally been the field that has attempts to explain subjective elements of the mind and neurology the biological elements. Rather than the physical structures of neurology, psychology has divided the mind into various conceptual structures, such a Freud's conceptualization of the id, ego and superego (Freud & Strachey, 2010). While, investigations into the inner workings of the brain have been historically divided between the neurological and psychological, psychological insights have historically been considered the less valid and scientific of the two approaches (James, 1890). Over the past 200 years objective materialistic explanations of the physical world have become dominant. This has caused elements of subjective experience that resist materialistic explanations, like  consciousness, to be avoided or discounted by scientists. However, because of our ability to use conscious metacognition to change and improve behavior, science is beginning to make valuable discoveries into the workings of conscious, as opposed to unconscious, thought.
     One of the earliest theoretical attempts to explain consciousness in materialistic terms was made by biologist Thomas Henry Huxley, father of the theory of action potentials  in 1884. Huxley was among the first to advance the theory that consciousness was epiphenomenal. He proposed that consciousness was a secondary effect that emerged from the interaction of the brain’s trillions of neurons.  He felt that physical/biological forces where the true determinants of human behavior and that conscious was a kind of species specific illusion (Greenwood, 2010).
     The role of this epiphenomenal view of consciousness on psychology began to culminate in the 1950s and 1960s  with the work of radical behaviorists like psychologist B.F. Skinner who sought to remove consciousness from the psychological paradigm altogether (Schneider & Morris, 1987). The mind was metaphorically described as a black box, and the goal was to discover response regularities in behavior by manipulating the stimulus conditions and observing the behavior. Along with moving psychology further away from any investigation of consciousness, the behaviorists developed behavior modification techniques, which became widely popular in education for much of the 19th century, despite only demonstrating limited effectiveness on human behavior (Ertmer & Newby, 2013).
     By the 1970’s the value and impact of conscious introspection in both psychology and education  began to shift with John Flavell’s (1979) introduction of the concept of metacognition. The basic idea behind metacognitive education was that an individual's subjective understanding about their own learning process could be used to enhance their learning, improve their self  monitoring, and related behaviors. The impact of metacognition and cognitive monitoring (Flavell, 1979) on learning and educational interventions is well-documented and many researchers (Weinert, 1987; Mancini,Short, Mulcahy & Andrews, 1991; Pace, 1991; Price, 1991) have investigated the various ways metacognitive processes affects learning .
     Conscious, introspective learning skills, like metacognitive knowledge and regulation, have also been found to be teachable (Hallahan, 1983; Schraw, 1998) and are strongly related to academic success (Dweck, 2013).  It was found that one of the main differences between high- and low-achieving students was their degree of self-monitoring and conscious evaluation of their own thinking (Andrade, 1999). A meta-analysis of teaching interventions done by John Hattie (2012) found that metacognitive interventions correlated with a strong positive effect on learning. It was also found that interventions that utilized fundamental components of metacognitive regulation, like self grading and evaluation (Andrade, 1999) were among the most effective education interventions (Hattie 2012).
     Well it has become clear that metacognitive educational techniques are highly effective, how metacognition functions is somewhat mysterious.  Nelson (1996) described it as the mind's ability to create meta-level distinctions from object-level distinctions. This distinction between meta- and object-level conceptualizations was first presented by Alfred Tarski (1956) in his theory of the hierarchy of languages. This idea was later used by Nelson and Narens (1994) as a solution to Comte’s Paradox, and to formulate what became know as the Metacognitive Model of Consciousness.
     Comte’s Paradox, briefly stated, is the ability of the brain to be both the object doing the observing and be the object being observed simultaneously. According to the Metacognitive Model of Consciousness “the object level are cognitions concerning external objects,” and the “meta-level would be cognitions concerning the cognition of external objects.” (Nelson 1996, p,3). Lower level cognition can become the subject of a higher level allowing for a transcendent abstract level of understanding about a subject to occur. The interaction between these two levels of cognition leads to the twin metacognitive phenomena: cognitive monitoring and regulation.
     Cognitive monitoring is the ability to observe one's own thinking, and regulation is the ability to control, or choose, a behavioral response. At the meta-level of conceptualization the mind develops increasingly abstract, holistic models that guide interactions and drive the formation of goals. These  meta-level goals transcend the object- level’s embedded conceptions, meaning as they take into account relationships between  information and past experience that are not part of the direct experience. For example, if you were playing soccer, object level cognitions would be those related to your immediate responses to the action of the game. Meta level cognitions would be those that shift consciousness away from what is directly occurring to perceive broader strategies, such as looking down the field to pass, or positioning oneself to receive a pass. These two levels of cognition work together to facilitate the accomplishment of goals. For Nelson (1996) it is the back and forth interaction of meta and object level conceptualizations that result in goal achievement.
     Though there are those who ascribe to the theory that all of our behaviors are unconscious (Dennett, 1991), the fact that we can both metacognitively understand and use that understanding to regulate our behavior shows that there is some degree of control and choice unique to conscious thought. There is a need for a theory that can explain the relationship of metacognition to conscious thought. The view that consciousness is an epiphenomenon offers little insight into why consciousness has such an impact on learning and behavior. As a phenomena, metacognition seems to indicate that there are distinct, qualitative and quantitative components to consciousness cognition that can be scientifically studied and used to improve learning and behavior.  

                                                         References
Andrade, H. G. (1999, April 20). Student self-assessment: At the intersection of metacognition and authentic assessment. Presented at the annual meeting of the American Educational Research Association, Montreal, Canada.
Dennett, D. (1991). Consciousness explained. Boston: Little, Brown and.
Ertmer, P. A., & Newby, T. J. (2013). Behaviorism, cognitivism, constructivism: Comparing critical features from an instructional design perspective.Performance Improvement Quarterly, 26(2), 43.
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive development. American Psychologist, 34(10), 906-911. doi:10.1037/0003-066X.34.10.906
Freud, S., & Strachey, J. (2010). The interpretation of dreams. New York: Basic Books A Member of the Perseus Books Group.
Greenwood, J. (2010). Whistles, bells, and cogs in machines: Thomas Huxley and epiphenomenalism. Journal of the History of the Behavioral Sciences, 46(3), 276-299.
Hallahan, D. P. (1987). Commentary on Palincsar and Brown's 'Enhancing instructional time through attention to metacognition.'. Journal of Learning Disabilities, 20(3), 169-170.
Hattie, J. (2012). Visible learning for teachers: Maximizing impact on learning. New York, NY: Routledge.
James, William (1890).  The principles of psychology, Volume 1. New York: Dover.
Mancini, G., Short, R., Mulcahy, R. & Andrews, J. (1991). Social cognition and socialcompetence: Instructional issues. In R. Mulcahy, R. Short & J. Andrews (Eds.),Enhancing learning and thinking (pp.193-206). New York: Preager.
Nelson, T. O. (1996). Consciousness and metacognition. American Psychologist, 51(2),102-116.
Nelson, T.O. (1994). Why investigate metacognition? In J. Metcalfe & A. Shimamura(Eds.),Metacognition: Knowing about knowing (pp. 1-25). Cambridge, MA: Bradford Books.
Nelson, T. O., & Narens, L. (1990). Metamemory: A theoretical framework and some new findings. In G. H. Bower (Ed.), The psychology o f learning and motivation (pp. 125-173). New York, NY: Academic.
Pace, S. F. (1991). Government processes for including thinking skills in the curriculum. In R. Mulcahy, R. Short & J. Andrews (Eds.), Enhancing learning and thinking (pp. 21-34). New York: Preager.
Price, M. A. (1991). Teaching thinking to preschoolers. In R. Mulcahy, R. Short & J.Andrews (Eds.), Enhancing learning and thinking (pp. 53-66). New York: Preager.
Schneider, S. M., & Morris, E. K. (1987). A history of radical behaviorism: from Watson to Skinner. The Behavior Analyst, 10(1), p. 36.
Schraw, G. (1998). Promoting general metacognitive awareness. Instructional Science, 26, 113–125.
Tarski, A. (1985). The semantic conception of truth. In A.P. Martinich (Ed.), The Philosophy of Language (pp.48-71). Oxford England: Oxford University Press.
Weinert, F. E. (1987). Introduction and overview: Metacognition and motivation as determinants of effective learning and understanding. In F. Weinert & R. Kluwe(Eds.), Metacognition, motivation, and understanding (pp. 1-16). Hillsdale, NJ:Erlbaum.

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Where does metacognition come from? Pt.1

8/1/2017

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         Historically there has been a clear division between what is understood about the physical nature of the brain as expressed by the field of neurology and what the brain is doing that we subjectively experience, as expressed by the field of psychology. This division between the brain's physical structure and the subjective experience of the mind has proven to be one of the most intractable questions in science today. Though it is clear that the brain is the physical organ that is responsible for the experience of mind, the physical mechanics that are responsible seem to be irreconcilably different from the subjective experience they produce. This could be an  indication that a possible connection between the two may exist outside of classical conceptions of mechanics. However, it is possible the answer could be found in subcellular structures. Structures whose minute size makes them capable of exploiting quantum level mechanics and phenomena like entanglement. Presently, the most basic level of structure of the nervous system is thought to be the neuron or nerve cell, but could it be that there are other structures required to bridge the understanding gap between physical structure and subjective experience?


    The brain is made of roughly 100,000,000,000,000 neurons (Swanson 2003, p.11). In all higher level organisms neurons are the base component of the networks that form its wider structure. One of the most fruitful avenues of neurological research has been the examination of individuals with unique and/or highly specific damage done to their brain (Ramachandran & Blakeslee 1998). From these studies it is deduced that the intellect and all cognitive functions are the result of neuronal activity in the brain (Swanson, 2003). Interestingly these studies have also demonstrated that isolated, specific damage done to the brain does not lead to a whole scale destruction of higher mental processes. Instead what happens is that there is a  loss of specific functionality in specific substrates of processing indicating that neuronal function is highly specialized and specific (Ramachandran & Blakeslee 1998,  Baddeley Eysenck & Anderson 2009).


       Neurons are thought to work by transmitting information utilizing electrical impulses called action potentials that travel through the axons and plasma membrane to the synapse where the impulse is converted into a chemical signal (Barnett & Larkman 2007). This chemical signal takes the form of a mixture of neurotransmitters that are received by dendritic receptors on the other side of the synaptic cleft. These chemical signals are, in turn, converted into electrical impulses that are sent down a cell’s axon membrane to the synapse separating it from the next neuron. It is the alternating of electrical and chemical signals between neurons that produce the complex neuronal systems of the brain and cognition. Through these complex systems of interaction between neuron come the vast, rich neurological behaviors associated with the brain and nervous system (Barnett & Larkman 2007). It is believed that much like a computer builds its interface through a computational system of binary bits of information, represented as ones and zeros, the brain builds its perceptual reality through a similar computational process of excited or inhibited  neuron behavior. This is often referred to as the  Hodgkin–Huxley model, or conductance-based model of the neuron. (Hodgkin & Huxley, 1952).


     This combined sequential electrical and chemical transmission of information is common to the nervous systems of all organisms except single celled protozoa such as paramecium and euglena. Interestingly, it seems that these organisms are able to perform the three fundamental classes of behavior: ingestive, defensive and reproductive behavior, without a nervous system (Swanson 2003).  It has been suggested that subcellular structures called microtubules are the source of this neuron-like behavior seen in protozoan. After “observing intelligent actions of unicellular creature’s neuroscientist Charles Sherington said in 1957: of nerve there is no trace but perhaps the cytoskeleton might serve” (Hameroff & Penrose 2014, p.43).  The existence of organisms that can move, eat and reproduce without a nervous system seems to point to the potential existence of subcellular structures also being involved in brain processes.
 
   The neuronal action potential model very effectively describes unconscious processes and is consistent with the stimulus response model of behavior. However, the model has not lead to insight into key attributes of learning and development such as motivation, self-regulation, imagination and understanding.  It may be that this model is only part of the story, and the part that is most significant to our understanding of learning is still to be scientifically uncovered.  

 
​    Educational researchers studying metacognition have begun to engage in very fruitful research into the effects of conscious phenomena on behavior and learning. They have found that conscious activities like goal setting and mindset can have a powerful impact on performance and learning. Looking deeper, to the sub-cellular quantum level of neurons may uncover important links between physics, biology and psychology, and lead to areas of unification between fields of scientific endeavor that have historically been separate.



                                                    References

Barnett M., Larkman M. (2007). The action potential. Pract Neurol 7 (3):
192–7.http://pn.bmj.com/content/7/3/192.short

Baddeley, A., Eysenck, M. W., & Anderson, M. C. (2009). Memory. New York, NY: Psychology Press.

Hameroff, S., & Penrose, R. (2014). Reply to seven commentaries on “Consciousness in the universe: Review of the ‘Orch OR’ theory.” Physics of Life Reviews, 11(1), 39-78.

Hodgkin, A. L.; Huxley, A. F. (1952). "A quantitative description of membrane current and its application to conduction and excitation in nerve". The Journal of physiology.

Ramachandran, V. S., & Blakeslee, S. (1998). Phantoms in the brain :Probing the mysteries of the human mind. New York: William Morrow.

Swanson, L. (2003). Brain architecture: Understanding the basic plan (pp. 263). 198 Madison Avenue, New York, New York:Oxford University Press.



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