Many teaching practices implicitly assume that conceptual knowledge can be abstracted from the situations in which it is learned and used. This article argues that this assumption inevitably limits the effectiveness of such practices. Drawing on recent research into cognition as it is manifest in everyday activity, the authors argue that knowledge is situated, being in part a product of the activity, context, and culture in which it is developed and used. They discuss how this view of knowledge affects our understanding of learning, and they note that conventional schooling too often ignores the influence of school culture on what is learned in school. As an alternative to conventional practices, they propose cognitive apprenticeship (Collins, Brown, & Newman, in press), which honors the situated nature of knowledge. They examine two examples of mathematics instruction that exhibit certain key features of this approach to teaching.

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Situated Cognition and the Culture of Learning

Experience and Educationis the best concise statement on education ever published by John Dewey, the man acknowledged to be the pre-eminent educational theorist of the twentieth century. Written more than two decades after Democracy and Education(Dewey's most comprehensive statement of his position in educational philosophy), this book demonstrates how Dewey reformulated his ideas as a result of his intervening experience with the progressive schools and in the light of the criticisms his theories had received. Analysing both "traditional" and "progressive" education, Dr. Dewey here insists that neither the old nor the new education is adequate and that each is miseducative because neither of them applies the principles of a carefully developed philosophy of experience. Many pages of this volume illustrate Dr. Dewey's ideas for a philosophy of experience and its relation to education. He particularly urges that all teachers and educators looking for a new movement in education should think in terms of the deeped and larger issues of education rather than in terms of some divisive "ism" about education, even such an "ism" as "progressivism." His philosophy, here expressed in its most essential, most readable form, predicates an American educational system that respects all sources of experience, on that offers a true learning situation that is both historical and social, both orderly and dynamic.

经验与教育 = Experience and education

: Even today, many complex and important skills, such as those required for language use and social interaction, are learned informally through apprenticeshiplike methods -- i.e., methods involving not didactic teaching, but observation, coaching, and successive approximation while carrying out a variety of tasks and activities. The differences between formal schooling and apprenticeship methods are many, but for our purposes, one is most important. Perhaps as a by-product of the specialization of learning in schools, skills and knowledge taught in schools have become abstracted from their uses in the world. In apprenticeship learning, on the other hand, target skills are not only continually in use by skilled practitioners, but are instrumental to the accomplishment of meaningful tasks. Said differently, apprenticeship embeds the learning of skills and knowledge in the social and functional context of their use. This difference is not academic, but has serious implications for the nature of the knowledge that students acquire. This paper attempts to elucidate some of those implications through a proposal for the retooling of apprenticeship methods for the teaching and learning of cognitive skills. Specifically, we propose the development of a new cognitive apprenticeship to teach students the thinking and problem-solving skills involved in school subjects such as reading, writing and mathematics.

/pdf/cognitive-apprenticeship-teaching-the-craft-of-reading-1zjyzp2acg.pdf

Cognitive Apprenticeship: Teaching the Craft of Reading, Writing and Mathematics

The power of feedback.

Problem-based approaches to learning have a long history of advocating experience-based education. Psychological research and theory suggests that by having students learn through the experience of solving problems, they can learn both content and thinking strategies. Problem-based learning (PBL) is an instructional method in which students learn through facilitated problem solving. In PBL, student learning centers on a complex problem that does not have a single correct answer. Students work in collaborative groups to identify what they need to learn in order to solve a problem. They engage in self-directed learning (SDL) and then apply their new knowledge to the problem and reflect on what they learned and the effectiveness of the strategies employed. The teacher acts to facilitate the learning process rather than to provide knowledge. The goals of PBL include helping students develop 1) flexible knowledge, 2) effective problem-solving skills, 3) SDL skills, 4) effective collaboration skills, and 5) intrinsic motivation. This article discusses the nature of learning in PBL and examines the empirical evidence supporting it. There is considerable research on the first 3 goals of PBL but little on the last 2. Moreover, minimal research has been conducted outside medical and gifted education. Understanding how these goals are achieved with less skilled learners is an important part of a research agenda for PBL. The evidence suggests that PBL is an instructional approach that offers the potential to help students develop flexible understanding and lifelong learning skills.

/pdf/problem-based-learning-what-and-how-do-students-learn-456c11ro51.pdf

Problem-Based Learning: What and How Do Students Learn?.

Our objective has been to develop an instructional theory and corresponding curricular materials that make scientific inquiry accessible to a wide range of students, including younger and lower achieving students. We hypothesized that this could be achieved by recognizing the importance of metacognition and creating an instructional approach that develops students' metacognitive knowledge and skills through a process of scaffolded inquiry, reflection, and generalization. Toward this end, we collaborated with teachers to create a computer enhanced, middle school science curriculum that engages students in learning about and reflecting on the processes of scientific inquiry as they construct increasingly complex models of force and motion phenomena. The resulting ThinkerTools Inquiry Curriculum centers around a metacognitive model of research, called the Inquiry Cycle, and a metacognitive process, called Reflective Assessment, in which students reflect on their own and each other's inquiry. In this article, we report on instructional trials of the curriculum by teachers in urban classrooms, including a controlled comparison to determine the impact of including or not including the Reflective Assessment Process. Overall, the curriculum proved successful and students' performance improved significantly on both physics and inquiry assessments. The controlled comparison revealed that students' learning was greatly facilitated by Reflective Assessment. Furthermore, adding this metacognitive process to the curriculum was particularly beneficial for low-achieving students: Performance on their research projects and inquiry tests was significantly closer to that of high-achieving students than was the case in the control classes. Thus, this approach has the valuable effect of reducing the educational disadvantage of low-achieving students while also being beneficial for high-achieving students. We argue that these findings have strong implications for what such metacognitively focused, inquiry-oriented curricula can accomplish, particularly in urban school settings in which there are many disadvantaged students. (http://www.tandfonline.com/doi/abs/10.1207/s1532690xci1601_2)

Inquiry, Modeling, and Metacognition: Making Science Accessible to All Students

Many cognitive and educational theorists believe that a prerequisite to learning physics is the attainment of the Piagetian developmental stage formal operational thinking. According to this view, attempts to teach children about the content and form of physical theories are doomed to failure. We argue that this is not the case. Children can learn basic physical concepts and models, given appropriately designed instruction. Furthermore, physical theories are a good domain for teaching children about the nature of scientific knowledge: its form, its evolution, and its application. This article describes an approach that enables sixth graders (i.e., 11- and 12-year-olds) to develop a conceptual model that embodies the principles underlying Newtonian mechanics, and to apply their model in making predictions, solving problems, and generating explanations. The students' learning centers around problem solving and experimentation with a series of computer microworlds (i.e., a set of interactive simulations and ...

ThinkerTools: Causal Models, Conceptual Change, and Science Education

We argue that learning about the nature and utility of scientific models and engaging in the process of creating and testing models should be a central focus of science education. To realize this vision, we created and evaluated the Model-Enhanced ThinkerTools (METT) Curriculum, which is an inquiry-oriented physics curriculum for middle school students in which they learn about the nature of scientific models and engage in the process of modeling. Key components of our approach include enabling students to create computer models that express their own theories of force and motion, evaluate their models using criteria such as accuracy and plausibility, and engage in discussions about models and the process of modeling. Curricular trials in four science classes of an urban middle school indicate that this approach can facilitate a significant improvement in students' understanding of modeling. Further analyses revealed that the approach was particularly successful in clarifying and broadening students' unde...

https://www.jstor.org/stable/pdfplus/3568099.pdf

Metamodeling Knowledge: Developing Students' Understanding of Scientific Modeling

https://files.eric.ed.gov/fulltext/ED296712.pdf

Causal model progressions as a foundation for intelligent learning environments

This research, explores, the design of a computer environment for helping science students to learn about Newtonian dynamics. The learning environment incorporates games set in the context of a Newtonian computer microworld, where students have to control the motion of a spaceship in order to achieve goals such as hitting a target or navigating a maze. The purpose of the games is to focus the students' attention on various aspects of the implications of Newton's laws. A set of general design principles guided the design of the games and microworld. These include: (I) represent the phenomena of the domain clearly; (2) eliminate irrelevant complexities from the computer microworld; (3) focus the students on as peers of their knowledge.that need revising; (4) facilitate the use of problem-solving heuristics; (5) encourage the application of relevant knowledge from other domains; and (6) encourage better ways of representing and thinking about the domain. A controlled study indicated that playing the games im...

Barbara Y. White

Papers

Inquiry, Modeling, and Metacognition: Making Science Accessible to All Students

ThinkerTools: Causal Models, Conceptual Change, and Science Education

Metamodeling Knowledge: Developing Students' Understanding of Scientific Modeling

Causal model progressions as a foundation for intelligent learning environments

Designing Computer Games to Help Physics Students Understand Newton's Laws of Motion