23
Sep 18

Vygotsky, Internalization, and Thought – Mieke

As implied by the title of this post, I am interested in focusing in on the concept of internalization as presented by Vygotsky. I felt that chapter 4 of the reading, which covered this topic, seemed to be the section which most clearly laid out a theory of how learning is occurring. To quote the steps of internalization (pgs. 56-57):

  1. “An operation that initially represents an external activity is reconstructed and begins to occur internally.” 
  2. “An interpersonal process is transformed into an intrapersonal one.” 
  3. “The transformation of an interpersonal process into an intrapersonal one is the result of a long series of developmental events.”

This process of internalization is also discussed in the second Radiolab podcast, where the process of internalizing thinking is discussed. The process of thinking is initially external and social, as the parent walks through the thinking process out loud with the child. The child then begins doing this process individually, but still externally in the form of “thinking out loud” or talking through their thought process. As the child is then told by parents or teachers to work quietly, the child then transitions into true thinking – the thought process now occurs internally. This concept outlined by Vygotsky can be clearly seen in the cognitive apprenticeship method of learning outlined in last week’s reading. There, instead of modeling the process of thinking generally, educators model the thinking that occurs within different fields. In the context of science, the teacher must make the scientific process external and social, by discussing and guiding the concept with students, the scientific thought process is modeled for students. As students make progress with these activities, they internalize this scientific thought process.

I was also very intrigued by the first Radiolab podcast. One point made was that for understanding to occur, the individual must have some conception of what this understanding means. For example, with the deaf students from Nicaragua, it was the younger children who had developed a larger vocabulary of “thought” words who possessed a more sophisticated ability to think about thinking. They were able to conceptualize the thought process of other people, which was difficult or not possible for the adults who only had one word for thinking. As also outlined with the example of the man who had no language up until the age of 27, when pressed later on to describe what it was like to live without language, he mentioned that he could not remember. This is interesting in light of the woman who had a stroke and lost language; she discussed how she just lived in the moment, and was unable to reflect on what was happening around her. The ability to think can then be linked to language, as it is through language that we may reflect on our experiences. The fact that most people lack memories from infancy may not just be due to general poor memory, but also an inability to think may be the cause for a lack of early memories – because we cannot yet think about what is happening, we cannot remember it. For the man who learned signing at age 27, he may not be able to remember what life was like before that for the same reason most hearing people cannot remember much from before the age of about 3, it is the ability to reflect through language that we are able to truly think and form memories, where memories may be thought of as the stories we tell ourselves about ourselves. As we are interested in connecting these concepts to science learning, we must consider science thinking, meaning the internalized signs within the science field. As I discussed previously, the role of an educator through a cognitive apprenticeship approach is to teach students how to think like a scientist. Without the ability to do scientific thinking, there is an inability to reflect as a scientist. Thus, the ability to recall and use scientific knowledge is predicated on the ability to reflect in this context. This would mean that the difficulty of learning science lies in the process of internalizing thinking, where an absence of scientific thinking is what results in the dependence on rote memorization and eventually, scientific illiteracy.


23
Sep 18

Vygotsky – ‘Scientific’ psychology and it’s implications for education – Ashwin

Looking beyond the implications Vygotsky has for education, this week’s reading was particularly interesting for two reasons: Firstly, it counteracts the narrative that had existed until the time of his publications, a narrative that still exists in some parts today, of psychology being a descriptive field with very few elements of scientific experimentation or rationale in it. With the introduction of Vygotsky who mandated that psychology must be causal-explanatory in nature, psychology feels more ‘scientific’ and more applicable to education. The other reason that I personally found Vygotsky to be a fascinating read is the historical context and the influences that the pervading culture of the time had on Vygotsky’s thinking, with Marxist ideals of humanity and it’s influence on nature forming the basis of his writing.

 

By attributing decision making and other cognitive actions to a set of internalised signs, Vygotsky is able to trace the path of causality that leads to the development of a cognitive structure. In contrast with behaviorism which only focuses on the action and even constructivism, which characterises thinking in terms of actively built up structures by the individual, we can trace where actual development stems from by noticing that signs are internalised when they are ’emancipated from their primary external forms’ (p. 45). In casting cognitive development in terms of internalised signs and actions based on auxiliary stimuli provided by the signs and supported by tools, there is now a complete framework for understanding how students cognise actively. Looking back at last week’s reading of Brown, Collins and Duguid (1989), cognitive apprenticeship now appears more useful. By understanding the tools and signs used by the scientific community, we can effectively develop curricula that follows the line of ‘qualitative transformations’ (p. 46) that a sign goes through with students, the goal being that by the end of schooling students effectively have internalised sign systems that can produce the responses to a range of stimuli with mediated action that reflects scientific thinking. Since all intrapersonal processes are internalised from interpersonal processes through the use of signs, creating the right environment through a cognitive apprenticeship model becomes crucial.  Mediated action between students in the classroom and between students and a scientifically trained instructor is essential as ‘higher functions originate as actual relations between human individuals’. This also seems to place a greater emphasis on a historical study of science and scientific communities to understand how scientific theories are conceptualised and how they evolve, which is probably the role that science studies has to play in science education.

Methodologically, Vygotsky provides a more scientific way of conducting research in psychology. By moving from a phenotypic to a genotypic analysis, psychologists are now forced to look beyond phenomenologically similar behaviors and understanding the origins of it and characterise the differences. This has huge implications for assessment of students in the classroom as looking at simple actions, the way behaviorism would propose, is not sufficient to ‘discover the means and methods subjects use to organise their behaviour’ (p. 74). By ‘objectifying’ psychological behaviour, Vygotsky’s characterisation of a new method of research is far more comprehensive to truly understand higher psychological functioning.

 

The argument for categorising psychology as a natural science is not something I am personally inclined to subscribe to. While Vygotsky’s models do provide an effective way to causally explain responses to stimuli in an unprecedented manner, I do not find any instances of predictive capacity that Vygotsky’s theories can possess. No matter how efficient the theories are in an explanative capacity, the fact remains that internalised sign systems are only accessible to us through external mediated action and their characterisation therefore is only approximate. I’m not sure if there is a push in the psychology community to be considered as a natural science or why such a push would conceivably exist, but the scientific nature of Vygotsky’s methods do not warrant the branding of his psychological theories as natural science, not that it diminishes it’s utility or proficiency in any way.

There was a curious paragraph that caught my interest and I would be grateful if someone can point out whether I’m reading into this too much. Vygotsky rejects the view that cognitive development is a ‘gradual accumulation of separate changes’ (p.73). Instead, he believes that there are points in development that are ‘spasmodic and revolutionary changes’. He goes so far as to chastise naive minds who, when a linear narrative history is disrupted, only see ‘catastrophe, gaps and discontinuity’. The chracterisation of psychological development bears a remarkable amount of similarity to Kuhn’s (1970) portrayal of scientific progress through revolutions. This seems to suggest that there could be some merit in trying to understand cognitive development through understanding scientific progress, both of which are highly dependent on sociocultural context. How such a parallelism would work is not something I can quite describe, but maybe it is worth thinking over.

References:

Brown, J. S., Collins, A., & Duguid, P. (1989). Situated Cognition and the Culture of Learning. Educational Researcher, 18(1), 32–42.

Kuhn, Thomas S. (1970). The structure of scientific revolutions. Chicago :University of Chicago Press,

Vygotski J, Cole, M., Scribner, S., John-Steiner, V., & Souberman, E. (1981). Mind in Society, Development of Higher Psychological Processes. Harvard University Press.

 

 

 


22
Sep 18

Vygotsky

Vygotsky and some thoughts about his thoughts,

Harriet Smith

A challenge for this week was to condense and make sense of the reading into relatively few words for this blog post. In order to do this, I decided to pick out what I considered key points or more so interesting ones and try to discuss them a little.

The role of social interaction in developing cognition

A prominent aspect of the Vygotsky reading this week was the idea that human development preceded, and is greatly influenced by, social interaction. This was in contrast to Piaget’s argument that development precedes learning. Something that stood out to me in relation to this topic is the idea that individuals can interact, and learn from society, but can also modify and change society. The initial quote of the chapter somewhat hints at this complex ability of the individual to modify and construct, but fundamentally must interact with his/her environment in order to develop. Although I am not sure if this is an exact example, when I read this section of the article I immediately thought of how a child born into an English speaking household will pick up the language that he/she is immersed in, likewise a child born to Chinese speaking parents will pick up, without even taking specific language lessons, the language of their environment. This leads me to the next point that I believe to be important is the idea of tools and signs.

Tools and Signs within learning

Vygotsky’s use of the vocabulary terms ‘tool’ and ‘sign’ are descendants of Engels conception. What I can comment on as being the difference between the two terms is that a tool is employed by the individual to assist ‘as the conductor of human influence’ on the activity and is externally oriented (p.55). Tools are objects that are used by the individual to enact change on another object. In contrast, a sign is internally oriented and has no influence on the object of interest for the individual. Examples of such ‘signs’ could be, as given in the article, tying a knot in a handkerchief as a reminder, the knot itself is not the sign, but what the knot represents, to evoke a reminder of something else is. On a base level, I understand the differences between these two, but as the article goes on and discusses the relationship between them being more complex but not analogous, I am a bit confused by this concept of a higher psychological function (p.55). Did anyone else have a stronger understanding of this? Another question I pose to the class is how do you interpret the use of the tool word in this article related to last weeks readings and the use of a tool within cognitive apprenticeship? Are there any crossovers in meaning? What do you consider to be different?

Experimentation

Another important point I drew from the reading was the focus on how Vygotsky undertook research and experimentation. In opposition to American psychology at the time, ‘for Vygotsky, the object of experimentation is ..different. The principles of his basic approach do not stem from a purely methodological critique of established experimental practices; they flow from his theory of the nature of higher psychological processes and the task of scientific explanation in psychology’ (p.12). Experimentation was a study of change over time, and did not explicitly focus on an end goal or outcome, but rather how the subject went about achieving that goal or outcome ‘a central tenet of this method is that all phenomenon be studied as processes in motion and change’ (p.7). An example of such would be giving a set of tasks to a student and then studying the way in which that individual went about making sense of and answering those problems. Additionally, these experiments would involve adding a second challenge dimension that would cause the student to have to approach the problem in a way that was different from the norm, such as collaborative learning with another student who speaks a different primary language. ‘Vygotsky believed that the experimental could serve an important role by making visible processes that are ordinarily hidden beneath the surface of habitual behavior. He called this method ‘experimental-genetic’ method,’ (p.12).  The use of a twofold form of stimulus is later described as the double-stimulation method. I linked this evidence back to the initial critiques Vygotsky had for the ‘crisis in psychology,’ where none of the existing schools of psychology provided a unified theory of human psychological processes, or, one of the current theories could explain problem-solving behaviors in individuals.

 

VygotskiJ, Cole, M., Scribner, S., John-Steiner, V., & Souberman, E. (1981). Mind in Society, Development of Higher Psychological Processes. Harvard University Press.


20
Sep 18

The Roots of Situated Learning Theory By: JD

Early in this week’s reading, Cole and Scribner set the stage for Vygotsky’s works by describing the questions psychology was attempting to solve. Primarily the work at the time was aimed at answering, “What are the relationships between animal and human behavior?” (p. 3) They go on to detail how some scholars described human consciousness in relation to stimulus and believed “high psychological processes could only be investigated by using “historical studies of cultural products” (p. 3) rather than experimental methods. This led to many psychologists to focus on behaviors rather than consciousness that sounded like the foundations of a Skinnerian model of thinking about learning. Vygotsky took these two competing ideas and worked to find a “unified theory of human psychological processes” (p. 5) because the available models either did not explain behaviors or did not manage to go beyond describing complex phenomenon.

Key to Vygotsky’s understanding of how thinking works are tools and signs. Tools are simply ideas or conceptions that mediate responses to a given sign. A sign on the other hand, while described similarly to tools, are situationally bound signifiers of something. In the case of Vygotsky’s experiments, the tool the children used was their method of remember using the various cards, while the sign was the culturally embedded ideas that indicated what strategy to use to remember in various tasks. For example, some of the participates turning the images to represent a bucket to remember such an item. What makes Vygotsky stand out above his contemporaries and has allowed him to remain relevant today is his willingness to consider both biology and culture in his understanding of human thinking; biology controls initial responses and more complex responses become mediated by culture.

Many of Vygotsky’s ideas connect directly to the ideas that Brown, Collins, and Duguid (1989) describe because as Vygotsky states, “The child does not suddenly and irrevocably deduce the relation between the sign and the method for using it.” (p. 45) This indicates the children must be taught HOW to use the sign. In a science classroom, this means providing students with tools (the conceptual method) of engaging in particular science signs such as experimentation (I put the words tool and sign in here to indicate my thinking because I want to make sure I am understanding these concepts correctly.) Overtime, by engaging in enough of the ideal behaviors, students will begin to experience internalization, or in other words, being able to utilize the tools for specific signs without the need of them being externalized. This is similar to how Brown et al. (1989) discuss the need to engage in authentic activities. In essence, students need to engage in activities that will provide the signs which lead to the development of tools.

Another important feature of Vygotsky’s thinking that connects to Brown et al. (1989) is how culturally bound signs and tools are. First, the transition for adolescents from thinking by recall to recalling to think is a huge transition. It implies the need for students to recognize specific signs to implement the correct tools; both of which are culturally and situationally embedded. For example, Vygotsky states, “Equating psychological and nonpsychological phenomena is possible only if one ignores the essence of each form of activity, as well as the difference between their historic roles and nature” (p. 53) to demonstrate how unique each sign is and the tools ascribed to them. This is the same for Brown et al.’s (1989) description of how students can do math in grocery stores, but not in a classroom. The signs in both areas are completely different and therefore, they are not able to recall the tools needed to solve problems that by all intensive purposes are the same.

Moving forward, I hope to receive feedback on my understandings of this week’s reading, especially around signs and tools. Additionally, I want to examine how Vygotsky’s thinking has influences in other areas of education, particularly with a focus on social justice science pedagogy, teacher education, and science teaching practices.


09
Sep 18

Week Four Readings-Zac

The main reading this week, Situated Cognition and the Culture of Learning, concerns the idea of “situated cognition” and “cognitive apprenticeship” (Brown, Collins & Duguid, 1989). Brown, Collins and Duguid argue that a school teaching environment is too decoupled from context to be effective for long-lasting or meaningful learning. Their basis for this assertion is that natural or real world learn is done through experience within a certain context while schools teach knowledge in the environment, or culture, of school. The authors use the examples of apprenticeship in certain fields as examples of how knowledge can be acquired in context. As such they also believe that by teaching subject in the context of the profession that uses that subject would be a better way to contextualize the information and improve student learning. This would seem to be a good way to learn certain tasks that are based less on knowledge and more on skill, the tailor example that they gave, but less on fields that require extensive background knowledge to participate (Brown, Collins & Duguid, 1989). I agree with Palincsar when she said “Students must cultivate a level of self-awareness, background information, behavior control, social interaction, and understanding of how they learn before they can hope to use tools with the expertise of experienced practitioners” (Palincsar, 1989).  Most advanced fields function by the model that students study the information first and once they grasp the information adequately then they enter an apprenticeship of sorts to learn how to apply their knowledge. Medical doctors and trained scientists are educated in this way. It was not clear from the Brown article to what extent he and his colleagues expect the cognitive apprenticeship to reach. If the idea is simply to expose or introduce students to the subject from the perspective of practitioners then his approach reminds me of the Ambitious Science Teaching approach (Windschitl, Thompson & Braaten, 2018). In that approach students are taught a subject in a context that is similar to one that scientists might experience but is not a true apprenticeship or seek to exactly emulate the scientific research culture. If this is the idea that Brown, Collins, and Duguid had in mind then the concerns of Wineberg when he said “…it is far from clear whether adopting the latest fashions of disciplinary specialists will leave us better off” should be alleviated (Wineburg, 1987).

References

Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational researcher18(1), 32-42.

Palincsar, A. S. (1989). Commentary: Less Charted Waters. Educational Researcher18(4), 5-7.

Windschitl, M., Thompson, J., & Braaten, M. (2018). Ambitious Science Teaching. Harvard Education Press. 8 Story Street First Floor, Cambridge, MA 02138.

Wineburg, S. S. (1987). Remembrance of theories past. Artificial Intelligence and Education: Principles and case studies2, 276.


09
Sep 18

Cognitive Apprenticeship – Sarah

Brown et al (1989) differs from our previous models of learning in that it introduces the role of context and environment in learning. The paper uses the example of word usage to illustrate the difference between knowing self-contained pieces of knowledge and knowledge that is contextualized. Upon reading this example, I began thinking of how language knowledge and use differs from what we traditionally consider “scientific” knowledge. To me, language knowledge and use seems much more ubiquitous and thus easier to see as indexical. Brown et al later states: “This would also appear to be true of apparently well-defined, abstract technical concepts. Even these are not wholly definable and defy categorical description; part of their beaming as always inherited from context of use” (Brown et al, 1898, p. 33). While this may be the case, what other “contexts of use” besides the school context are school-aged students going to encounter topics like cell biology or atomic models? Brown et al (1989) also says: “When authentic activities are transferred to the classroom, their context is inevitably transmuted; they become classroom tasks and part of the school culture” (Brown et al, 1898, p. 34). This seems like another example of a statement that schools are “unnatural” places for learning and that putting learning in the school context makes it “school learning” which is inherently different than “real-world” learning. Also, this statement from Brown et al makes it seem that no school activity can truly be an authentic activity because it takes place outside the practices of the culture.

In our previous learning models, we determined that individuals demonstrate their knowledge through a performance of some sort. Brown et al (1989) explains “learning and acting are interestingly indistinct, learning being a continuous, life-long processes resulting from acting in situations” (Brown et al, 1989, p. 33).  To me, this seems like that in a model of this learning theory, an individual not only demonstrates knowledge through a performance or action, but also learns something every time this action is acted out. In the discussion of teaching fourth grade multiplication, the first step in teaching is to “begin with a task embedded in a familiar activity, it shows the students the legitimacy of their implicit knowledge…” (Brown et al, 1989, p. 38). This seems similar to our discussion of conceptual change, in which students’ previous conceptions are seen as valuable to the learning process and are drawn upon.

Chapter 6 from the NRC (2007) book states: “Students, if they are to understand what science is, must accept that it is something that people do and create. From this flows the implication that science involves creativity and that science is not science because it is “true” but because it is persuasive” (NRC, 2007, p. 171). The idea that science is done by people and is a way for people to understand the world around them, and not just out-of-this-world abstract facts that we mere humans are trying to grasp, is something that I think alludes most portrayals of science in traditional schooling. I think that by putting more focus and emphasis on the idea that science is something people do and create is a way of making the leap from student to practitioner culture smaller.

I found the discussion of cultural norms in Chapter 7 from the NRC (2007) book interesting. The chapter explains that “The structure of classroom norms is often left tacit, making it difficult for students to figure out the rules on their own, especially if these ways of thinking, talking, and behaving are not as frequently encountered in their home communities (Ladson-Billings, 1995; Delpit, 1995)” (NRC, 2007, p. 191). Based on the cognitive apprenticeship model, it can be a challenge for students to be enculturated into the culture of real-life practitioners, and often only situate themselves within the culture of school. For students whose personal backgrounds and culture differ greatly from school culture, adopting and thriving in school culture is the first and major hurdle to cross before even considering adopting the culture of practitioners. How can school culture (and other learning cultures) be made more easily accessible for students whose personal cultures do not align with these other cultures?

 

Brown, J. S., Collins, A., & Duguid, P. (1989). Situated Cognition and the Culture of Learning. Educational Researcher, 18(1), 32–42.

 

National Research Council. (2007). Understanding how scientific knowledge is constructed. Taking Science to School: Learning and Teaching Science in Grades K-8, 168–210.


09
Sep 18

How much cognitive apprenticeship? – Ashwin

While the idea of situated cognition is useful, the ideas presented as part of the model of cognitive apprenticeship need to be taken with a pinch of salt, especially for the goal of scientific literacy. In the following analysis, I’ll try to justify this statement and also point out a couple of other issues that cropped up as I was reading through.
Brown et al (1989) begin by characterising knowledge as being useful only in situated use taking examples from learning English to exemplify their point. Their chief argument is that knowledge indexes the world and are a therefore “inextricably a product of the activity and situations in which they are produced” (p. 33). The constructivist basis of the theory is clearly appealed to in that statement as they witness meaning as being constructed for the individual through participation in activities or being placed in situations. They dismiss any view of knowledge as “abstract, self-contained entities” but choose to consider conceptual change as akin to a set of tools. These tools are argued to emerge from the “cumulative wisdom of the culture … and insights and experience of individuals”. Knowledge then is the abstraction of a contextually situated tool that individuals acquire through entrenchment in a community as a form of ‘indexicalized representation’. Epistemologically, this places them on shaky ground. While it is true that knowledge can’t be acquired in the absence of a context, I certainly feel that knowledge once acquired does exist independently to be deployed by the learner. How and when this knowledge is then used is determined by context. This epistemological flaw in their argument is problematic, as I shall show in the analysis that follows.
Even before we get into that however, there is a bigger problem that cognitive apprenticeship raises for instruction. If communities are bound by intricate, socially constructed webs of belief and knowledge is acquired by entrenchment in such communities, classrooms then need to be designed to mirror such communities, which have developed over decades, to engage in ‘authentic activity’. At no point do they clarify what they mean by authentic activity except to call it the “ordinary practices of the culture” (Brown et al, p. 34) This is a vague definition for two reasons: If they are talking about the culture of professional communities, then we run into the problem of needing multiple professional communities in a classroom. The idea of apprenticeship works very well when there is only one particular community to consider. However, classrooms and students often need to negotiate multiple fields of learning and constructing environments that favour such enculturation across fields, often in a matter of hours over a school day, is not only difficult to implement for the instructor but cognitively difficult to navigate for students. The transitions between everyday thinking and thinking valued in domains is also difficult to navigate (NRC, 2007). A model of cognitive apprenticeship for learning may function well for undergraduate and graduate communities where the academic disciplines are narrowly defined as it was used by Schoenfeld (1985) but there are problems in implementing them for schools. Secondly, I posit that there is simply no need for such a complex requirement for everyday learning. It is important to realise that situated cognition does not need cognitive apprenticeship. When Brown et al argue that for acquiring skills a learner has to “implicitly understand parts of it’s belief system”, it is not a valid argument to make. Our expectations from students are substantially different from our expectations of practitioners (Palinscar, 1989). We need students to be able to understand scientific knowledge in context to make a more informed citizenry and support democratic participation. (NRC, 2007). The appeal to any form of constructivism which views students as cognising subjects still requires us to keep in mind that belief systems are generated by the individual. The belief system so constructed needs to prepare students to be scientifically literate. Thinking like scientists involve far more than that, they are the responsible for generating knowledge. The two goals of scientific literacy and creating proficient scientists are irreconcilable and in a K-12 setting, the mandate is on creating scientifically literate students. Recognising this difference will render the need for simulating scientific communities in the classroom a debatable issue.
 In the example of the ‘JPF’ and the Weight Watchers class, Brown et al state that the “dieter’s position gave him privileged access to the solution path” (p. 35). This is definitely a situated use of cognition that doesn’t appeal to the algorithmic view of learning from classrooms. But it is not in any way related to the ‘culture’ of dieting or weight watching. Cognitive apprenticeship has nothing to do with the way the problem solver divided cottage cheese and neither was there an explicit use of an indexicalized representation. Rather, his knowledge of what the term ’three quarters’ means, which exists in his head independent of context, was contextually employed. It becomes important then to characterise how the meaning of the term was abstracted by the learner from the context in which he first encountered it and how he recognises the need to employ it. Neither of these depend on any form of apprenticeship in dieting. Nor is it justifiable to assume that the problem solver can use his knowledge only in subsequent situations where ‘part of the environment …remains invariant’. Knowledge is best acquired through contextual use and is often employed in context but it’s cognitive position in the interim is crucial to characterise. Brown et al hint towards a need to solve this problem and theorise a relationship between explicit knowledge and implicit understanding.
Moreover, simulating practitioner communities subsumes that we understand practitioner cultures sufficiently. To quote Palinscar (1989)  directly, “What is the mystique of a practitioner’s culture that the students must assimilate?”. Kuhn (1970) argues that learning to thinking like a scientist involves the adoption of a paradigm and acculturation into the ways of thinking of a community. Such processes are long drawn out and involve students to make theoretical commitments to ideologies that could be detrimental to having them remain neutral and objective for being scientifically literate members of the citizenry. The level of acculturation that seems to be mandated by cognitive apprenticeship is far too much of a requirement for scientific literacy. I would argue that such enculturation should occur at the level of universities when students have made career choices and are aware of the community that they themselves will eventually be a practitioner in. Simulating practitioner communities also ignores affective factors. As Wineburg (1989) points out, apprenticeships can be “tedious, inefficient, repressive, servile, tradition bound”. Student interest can not be generated in cognitive apprenticeship. In fact, I suspect that student interest is a necessity for effective cognitive apprenticeship. I am inclined to agree with Wineburg in quoting the Woods Hole conference: For a general classroom with varied interests, student interest can be fostered only by making “knowledge gained usable in one’s thinking beyond the situation in which learning has occurred”. This is precisely why I find The Cognition and Technology Group at Vanderbilt (1990) an exciting prospect in this model of learning. By relaxing the meaning of the term cognitive apprenticeship and recognising that situated cognition can happen without enculturation, the adventures of Jasper provide an anchor for students to tether their knowledge to. In simulating multiple real world contexts and using those to teach mathematics and science, their model does yield meaning to the term ‘authentic tasks’.
The recommendation of Brown et al to create cultures of learning is definitely agreeable. Group learning can “give rise synergistically to insights” (p.40) and groups can function as self-corrective entities in drawing out inefficient strategies and lead to carefully reasoned out conceptions. When students are permitted to talk and work directly with each other, productive argumentation is also more likely to occur (NRC, 2007). The dynamic of the group however, needs to be considered carefully. Trying to get these groups to look like professional communities because that is where knowledge is created is not the best strategy, especially for K-12 classrooms.
A word on equity: The NRC report (2007) claims that  “immigrant or U.S.-born racial/ ethnic minority students may depend on their access to cultural and communicative norms …making it difficult for students to figure out the rules on their own, especially if these ways of thinking, talking, and behaving are not as frequently encountered in their home community” (p. 191). This presupposes that their home communities have different ways of thinking, talking or behaving that makes it difficult for integration which is manifestly false. Historical evidence from both educational and scientific contexts can clearly establish that cross-cultural collaborations are highly functional because the norms of scientific community and their ways of thinking are independent of racial or ethnic origins which is why scientific communities have remained remarkably, exceptionally even, democratic and diverse. The difficulty, if it exists, may be purely linguistic in origin. Ways of thinking about learning are influenced by the forms of instruction provided in schools. Ethnic minorities and immigrant populations can therefore be acculturated into the ways of learning that are common in US schools in much the same way that students in these schools are taught to become acculturated into thinking like scientists.
References
Brown, J. S., Collins, A., & Duguid, P. (1989). Situated Cognition and the Culture of Learning. Educational Researcher, 18(1), 32–42.
The Cognition and Technology Group at Vanderbilt. (1990). Anchored Instruction and Its Relationship to Situated Cognition. Educational Researcher, 19(6),
National Research Council. (2007). Participation in scientific practices and discourse. Taking Science to School: Learning and Teaching Science in Grades K-8,
Kuhn, Thomas S. (1970). The structure of scientific revolutions. Chicago :University of Chicago Press,
Palinscar, Annemarie. (1989). Educational Researcher, Vol. 18, No. 4 (May, 1989), pp. 5-7
Schoenfeld, A. H. (1985). Mathematical problem salving. Orlando, FL: Academic Press.
Wineburg, Samuel. (1989). Educational Researcher, Vol. 18, No. 4 (May, 1989), pp. 7-10

09
Sep 18

Situating Science in Practice By: JD

The Cognition and Technology Group at Vanderbilt (1990) begin their discussion of anchored instruction by referencing “inert knowledge” (p. 2) or knowledge that can be remembered when prompted but has little use outside of those contexts. The group then argues that instruction should be anchored in context and details a program designed with Brown, Collins, and Duguid’s (1989) theory of situated cognition. This theory of learning is primarily based in the idea that learning is rooted in the context of a discipline’s or communities’ practice. For example, Brown et al. (1989) provide an example from research done by Schoenfeld where students brought problems they found in the world to the teacher who then modeled how to solve them mathematically. In this example, the problems were rooted in the students’ observations and wonderings about the world, and consequently, the teacher showed them how to “do” mathematics by demonstrating how to solve these problems.

Situated cognition has undertones of Skinnerian models of learning as well as conceptual change. Brown et al. (1989) discuss “representations,” but rather than theorize that these representations are decontextualized, they argue that each one is very context dependent. Additionally, like with Skinnerian ideas, the only way to observe this learning is to physically observe it with behavior or other outward expressions. Using situated cognition as a theory of learning requires a deeper understanding of the nature of science and how to participate in scientific practices and discourse (NRC, 2007).

Brown et al. (1989) discuss the difference between an apprenticeship and school; in an apprenticeship, students are integrated into a culture and community, school integrates students into a culture and community that is absent of the same values, beliefs, ideas, and skills of the discipline they prepare them for. Therefore, understanding the nature of science and the practices and discourses are a necessity if students are to learn in the style of a cognitive apprenticeship. The information provided by the NRC (2007) outlines many of the ways ontologies, epistemologies, practices, and discourses can support students in learning science. However, there are areas where good intentions can fall short of the espoused goals by science educators to enact the true values of a cognitive apprenticeship in schools.

One of the biggest problems facing schools is that schools are not places where current science is being done. This is not said to diminish the fact that students do science in school, but school is not where scientists work. So, the goal is to make school more like a place where science happens by engaging them in practices found in communities of scientists. One way of doing this in math was to provide scenarios for students to solve (Vanderbilt, 1999). While the scenarios were rooted in “real world” experiences like boating, I wonder if the context in which students were learning would translate to them succeeding with a boat in the same manner? This question is rooted in the fact that the context students are learning is a classroom video game, not dealing with an actual boat. Additionally, each scenario is rooted in specific contexts, how would a student, who has no access to a boat, connect with this scenario? Motivation and identity influence how students learn science (NRC, 2007), and therefore, if students are not motivated by a video game or identify with the scenario how much learning will take place?  One way to potentially overcome this challenge might be to have students bring their own questions to bear in a unit and work with them to solve those authentic questions (Vanderbilt, 1990; Brown et al., 1989) because this incorporates aspects that make apprenticeship valuable; getting an expert in the field to support you in improving in ways that align most closely with your needs as a learner. Yet, as the NRC (2007) details, this may not be enough because of how outside factors play a role in how students learn science.

The NRC (2007) discuss that a major challenge of science is to help students navigate a Western way of knowing with their potentially non-Western culture and way of knowing (p. 201). The NRC (2007) then unpacks ways different populations’ cultures influence their experiences in science noting language, motivation, cultural practices, and beliefs. Each of these aspects, in a situated cognition theory of learning would be important to incorporate into a learning environment to support students in learning science. For example, when discussing motivation, the authors acknowledged that students bring different goals with them to class. These goals are defined by many factors both in and outside school, and as a result, these goals must be thought about when teaching science or students will be learning science for goals they do not possess. This situation could easily result in that knowledge being “inert” as discussed earlier.

Interestingly, the sections in the NRC (2007) about participation in scientific practices were designed to emphasis how science classrooms can be more inclusive of students from minoritized populations while also actively demonstrating why students from these groups do not succeed at the same levels in science as privileged populations. This is emphasized not to take an unfair shot at the chapters, but to emphasis how a situated perspective can inform how students learn. For example, the authors state, “Science, mathematics – and for that matter, ham radio and drug selling – are activities conducted by organized groups of people who tend to communicate in particular linguistic styles…” (p. 189). This reference, made in good faith and to communicate the idea that science is different from other forms of communication, actually can alienate students from science because by referencing “drug selling” next to “ham radio” the juxtaposition of the images raised by both statements is jarring (for sake of this post I will not elaborate further). Later, when detailing “border crossings” (p. 201), the authors highlight how all students can struggle to cross into science. Combining this statement with the one above and the theme of the section, it takes on an “All Lives Matter” stance. Understanding that situated cognition demands that context be considered and that the context determines the representations students make about content in a discipline, how is it possible for a student to form a positive or full representation in science when the field itself fails to recognize how it actively misrecognizes students who are minoritized?

Thankfully, efforts have been done to broaden the scope of who can participate in science by recognizing differences in culture. The vignette about Haitian students is a constant reminder that practices exist in other cultures that mirror science practices (NRC, 2007, p. 194). This one example demonstrates the unique power of the perspective outlined by Brown et al. (1989) because it opens the doors to learning in contexts that disciplines like science are used in and allows students to learn knowledge in ways that are useful to them and their future goals.

Brown, J. S., Collins, A., & Duguid, P. (1989). Situated Cognition and the Culture of Learning. Educational Researcher, 18(1), 32–42.

National Research Council. (2007). Participation in scientific practices and discourse. Taking Science to School: Learning and Teaching Science in Grades K-8, 186–210.

National Research Council. (2007). Understanding how scientific knowledge is constructed. Taking Science to School: Learning and Teaching Science in Grades K-8, 168–185.

The Cognition and Technology Group at Vanderbilt. (1990). Anchored Instruction and Its Relationship to Situated Cognition. Educational Researcher, 19(6), 2-10.


09
Sep 18

Cognitive Apprenticeship (Brown, Skinner, Posner, and National Research Council) – Chloe

When reading the articles for this week, two major topics came to mind: 1) incorporating “real world” culture with school culture and 2) emphasizing group work between students, allowing them to engage in collaborative learning. I expand on both ideas below, but would love to hear others’ ideas on them.

Before this week’s readings, I felt that culture was hinted in the previous weeks’ readings but not fully addressed. Brown and his colleges (1989) fully address this topic and illustrate the point that students often feel a gap between what they are learning in schools (“school culture”) and the world outside of those four walls (“real-life culture”).  As educators, we want students to be able to apply what they learn in science class to real-world sceneries, but that often is not the case. I know when I TA students, and even from my own schooling, I am often asked “How does this assignment deal with the real world?” and “Why should I care? I’m just taking this class because it’s required for graduation.” This link between school and real-world cultures is often problematic but Brown and his-coauthors propose a solution when they state, “When authentic activities are transferred to the classroom, their context is inevitably transmuted; they become classroom tasks and part of the school culture” (1989, p. 34). The authors suggest that by including “real-world”, i.e. authentic activities, students can develop, acquire, and combine their previous ideas with new ones to create a more complex understanding.

Chapter 7 also hints at this idea when it states “Children are not passive recipients who simply receive or are molded by culture….. relationships between culture and personal meaning area always fluid and complex” (National Research Council, 2007, p. 191). Even with this said and emphasized in the readings, I feel that this link between school and real life culture is one that is still lacking in science classes. I feel that schools are not creating real-world experiences for their students in science classrooms that give them a better understanding of how things work outside of school or how the content they learn in school can be applied in real-life scenarios. I know most of my high school classes had us memorize definitions, and then “apply” them to structured examples. It was really not until college, where I had laboratories in the sciences that I started to understand the real-world applications of what I was learning in class. This lead me to thinking: while labs are not the only way to bridge the gap between these school and real-life cultures, what are other time and cost efficient activities that can bridge these two cultures together in K-12 education? For example, do you think if professionals come into a class and relate a real-life problem with that being taught in class, that would help to bridge both cultures (for example, a medical doctor coming in and presenting students a real life problem about antibiotic resistance during that unit of a Biology class)? I honestly am not sure what the answer to these questions are, but from my own learning, I find it easier to link “real life” culture with “school” science culture when an example is provided to me.

Another point I was thinking about when reading the Brown et. al (1989) article was the idea of collaborative learning. Prior to this week, the readings focused on the individual within science learning: Skinner (1954) emphasized reinforcing behaviors in a student until he/she successfully completed the desired behavior while Posner et. al (1982) focused on the impact an experience can have on a child’s conception about a science idea, i.e. assimilation or accommodation. This week’s reading from Brown and his co-authors (1989) was the first reading this semester that brought attention to the impact of peers on student learning in the science classroom. The article argues that peers can help construct, challenge, and contribute to a students’ own theory, with the authors even including a section of group features vital to learning: collective problem solving, displaying multiple roles, confronting ineffective strategies and misconceptions, and providing collaborative work skills (Brown et. al, 1989, p. 40). This idea of groups/peers influencing science learning is also seen in Chapter 7 when argumentation and participation are discussed (National Research Council, 2007).  I know that not everyone enjoys working in groups during class, but it is important to note that groups allow students to be aware of others’ cultures, views, and thoughts on a science topic. Incorporating group activities into learning can broaden students’ views on a concept and enable to them integrate ideas into their conceptual understanding that they would have otherwise not thought of.

References:

Brown, J. S., Collins, A., & Duguid, P. (1989). Situated Cognition and the Culture of Learning. Educational Researcher18(1), 32–42.

National Research Council. (2007). Participation in scientific practices and discourse. Taking Science to School: Learning and Teaching Science in Grades K-8, 186–210.

National Research Council. (2007). Understanding how scientific knowledge is constructed. Taking Science to School: Learning and Teaching Science in Grades K-8, 168–185.

Posner, G. J., Kenneth, S. A., Hewson, P. W., & Gertzog, W. A. (1982). Accomodation of a scientific conception: Toward a theory of conceptual change. Science Education, 66(2), 211–227.

Skinner, B. F. (1954). The science of learning and the art of teaching. In A. A. Lumsdaine & R. Glasser (Eds.), Teaching machines and programmed learning: The science of learning (pp. 99-113): National Association for the Education of Young Children.

 


09
Sep 18

Cognitive Apprenticeship – Mieke

From this week’s readings, I was immediately struck by how the idea of cognitive apprenticeship is really consistent with many of my pre-existing thoughts on learning. One of the clearer original thoughts I had was on how individual identity shapes the ability to learn. I was surprised to see Claude Steele’s work on stereotype threat referenced in the Taking Science to School text. I attended a lecture of his last semester and had already been thinking about how personal anxieties affect learning. For example, the anxiety of disproving a stereotype of women being bad at math can become an additional hurdle to overcome beyond just the conceptual change framework. In addition to stereotypes related to gender and race, personal stereotypes of “I am bad at [x subject]” also become a personal obstacle. This ties in to the discussion in chapter 7 of TSS, in which student learning is tied to the thoughts “I Can Do Science”, “I Want To Do Science”, and “I Belong”. My thoughts are thus that conceptual change requires students to feel that they are capable of learning and want to do so.

In addition to the effect of identity on learning, Brown, Collins, and Duguid’s discussion of enculturation was very interesting to me. I think the difficulty for many of my peers (and myself!) in transitioning from undergrad to grad school as chemists is best described as a culture shock. In undergraduate settings, laboratory experiences are largely designed to guide students along a specific path towards a specific result. To go into a Ph.D. program in chemistry requires a completely different approach to chemistry. The work is now completely unstructured. I’ve described my work as a researcher as “my job is to create my own job.” This openness in scientific culture – to determine our own methods, questions, time management – is simply not expressed within undergraduate course work. The only example of enculturation in undergraduate chemistry is a lab experience I had in organic chemistry. We were asked to synthesize some compound (I know longer remember which one…), and we were tasked with researching methods and writing our own procedure for carrying out this organic synthesis problem. However, this type of chemistry lab is quite rare.

I think participating in undergraduate research experiences, especially within a research group involving grad students, can help to reveal scientific cultures, but this is not guaranteed or sustainable for all students. Not every student who takes a general chemistry lab will do research in a chemistry research group. There are not enough research groups, and of course, not every student has any interest in joining such a group. For those who do join research groups, I have seen many groups treat undergrads as assistants to grad students, who are tasked with more mundane, repetitive work that ultimately does not represent the sort of work their grad student mentors do.

I liked the discussion on anchored cognition given by the Vanderbilt group. Using anchored cognition, students may engage in “sustained exploration” of a topic. Instead of jumping between new examples every week, or every class, the students are allowed to work more in depth on a particular topic. I think such an approach in itself embodies cognitive apprenticeship, as most experts in their fields work in great depth on a narrow subject. In the context of chemistry education, I think the approach of anchored cognition is certainly achievable. Chemistry labs could be restructured in such a way that fewer experiments are carried out, but the initial lab periods for a new experiment could be dedicated to students coming up with their own questions, hypotheses, and methods that they seek answers to.

The question I then arrive at for cognitive apprenticeship is its ability to be addressed at the lower grades. All the examples I have discussed in this post have been centered on college, where classes are taught by experts in the field. In such a context, I see no serious problem in the capacity for professors to introduce students to their field’s culture. In high school, this may also be possible, as it becomes more common for teachers to have a degree in the field that they teach. However, for elementary and middle school, the ability of teachers to create an appropriate culture is more challenging. I think more straightforward goals of greater depth on fewer topics and more collaboration within class would be good starting points. Following from the Vanderbilt group’s Young Sherlock project, I think a focus on class projects would be useful and fun for students.

 

References:

Brown, J. S., Collins, A., & Duguid, P. (1989). Situated Cognition and the Culture of Learning. Educational Researcher, 18(1), 32–42.

National Research Council. (2007). Participation in scientific practices and discourse. Taking Science to School: Learning and Teaching Science in Grades K-8, 186–210.

National Research Council. (2007). Understanding how scientific knowledge is constructed. Taking Science to School: Learning and Teaching Science in Grades K-8, 168–185.

The Cognition and Technology Group at Vanderbilt. (1990). Anchored Instruction and Its Relationship to Situated Cognition. Educational Researcher, 19(6), 2-10.


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