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Cover image for Applying cognitive science to education : thinking and learning in scientific and other complex domains
Title:
Applying cognitive science to education : thinking and learning in scientific and other complex domains
Personal Author:
Publication Information:
Cambridge : The MIT Press, 2008
Physical Description:
xviii, 471 p. : ill. ; 24 cm.
ISBN:
9780262182638

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30000010175459 LB1060 R444 2008 Open Access Book Book
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Summary

Summary

Many students find it difficult to learn the kind of knowledge and thinking required by college or high school courses in mathematics, science, or other complex domains. Thus they often emerge with significant misconceptions, fragmented knowledge, and inadequate problem-solving skills. Most instructors or textbook authors approach their teaching efforts with a good knowledge of their field of expertise but little awareness of the underlying thought processes and kinds of knowledge required for learning in scientific domains. In this book, Frederick Reif presents an accessible coherent introduction to some of the cognitive issues important for thinking and learning in scientific or other complex domains (such as mathematics, science, physics, chemistry, biology, engineering, or expository writing).

Reif, whose experience teaching physics at the University of California led him to explore the relevance of cognitive science to education, examines with some care the kinds of knowledge and thought processes needed for good performance; discusses the difficulties faced by students trying to deal with unfamiliar scientific domains; describes some explicit teaching methods that can help students learn the requisite knowledge and thinking skills; and indicates how such methods can be implemented by instructors or textbook authors. Writing from a practically applied rather than predominantly theoretical perspective, Reif shows how findings from recent research in cognitive science can be applied to education. He discusses cognitive issues related to the kind of knowledge and thinking skills that are needed for science or mathematics courses in high school or colleges and that are essential prerequisites for more advanced intellectual performance. In particular, he argues that a better understanding of the underlying cognitive mechanisms should help to achieve a more scientific approach to science education.


Author Notes

Frederick Reif is Emeritus Professor of Physics and Education at Carnegie Mellon University and the University of California, Berkeley.


Reviews 1

Choice Review

This timely volume nicely blends practical and theoretical perspectives to reveal how advances in cognitive science can be applied to education. Reif (emer., physics and education, Carnegie Mellon Univ. and Univ. of California, Berkley) is specifically concerned with the challenges of learning in complex domains, such as science and mathematics. He describes learning and teaching designed to promote the acquisition of skills and knowledge for conceptual learning in these fields. Section 2 offers a readable and valuable introduction to various forms of knowledge and thinking, including the widely acclaimed notion of problem solving. Science educators will likely find section 3 of the book familiar and welcoming, as it addresses misconceptions and the fundamentally important notion of uncovering students' prior knowledge as an integral element of the learning cycle. Although the summative chapters succinctly describe unmet educational challenges, the book would have been strengthened with more examples from high school and college contexts. Those interested in the reform of science education and curriculum development in mathematics and science, including researchers and practitioners, would find this book an excellent catalyst for initiating discussions regarding how to promote high quality and effective programs. Summing Up: Recommended. Upper-division undergraduates and above. D. M. Moss University of Connecticut


Table of Contents

Prefacep. xiii
I Basic Issuesp. 1
1 Performance, Learning, and Teachingp. 3
1.1 Thinking about thinkingp. 3
1.2 Basic issuesp. 4
1.3 Importance of these issuesp. 5
1.4 Structure of the bookp. 8
2 Intellectual Performancep. 11
2.1 Description of performancep. 11
2.2 Performance in complex domainsp. 13
2.3 Characteristics of good performancep. 15
2.4 Analysis of performancep. 18
2.5 Analysis of good performancep. 21
2.6 Comparisons and overviewp. 23
2.7 Summaryp. 26
II Good Performancep. 27
II-A Usabilityp. 29
3 Important Kinds of Knowledgep. 31
3.1 Declarative and procedural knowledgep. 32
3.2 Comparative advantages and disadvantagesp. 33
3.3 Uses of declarative and procedural knowledgep. 34
3.4 Condition-dependent knowledgep. 37
3.5 Educational implicationsp. 38
3.6 Summaryp. 41
4 Specifying and Interpreting Conceptsp. 43
4.1 Knowledge and conceptsp. 44
4.2 Types of conceptsp. 47
4.3 Kinds of concept specificationsp. 51
4.4 Scientific importance of concept specificationsp. 54
4.5 Educational implicationsp. 57
4.6 Summaryp. 59
5 Interpreting Scientific Conceptsp. 61
5.1 Students' interpretation of the concept accelerationp. 62
5.2 Motion and the concept of accelerationp. 66
5.3 Specification of accelerationp. 69
5.4 Causes of interpretation deficienciesp. 71
5.5 Requirements for usable concept knowledgep. 77
5.6 Educational implicationsp. 80
5.7 Summaryp. 83
6 Managing Memoryp. 85
6.1 Properties of human memoryp. 86
6.2 Basic memory processesp. 88
6.3 Practical memory managementp. 94
6.4 Educational implicationsp. 98
6.5 Summaryp. 100
II-B Effectivenessp. 101
7 Methods and Inferencesp. 103
7.1 Methods and proceduresp. 104
7.2 Specification of proceduresp. 106
7.3 Making inferencesp. 109
7.4 Educational implicationsp. 113
7.5 Summaryp. 116
8 Describing Knowledgep. 119
8.1 Descriptions and their referentsp. 120
8.2 Alternative descriptionsp. 122
8.3 Characteristics of different descriptionsp. 126
8.4 Complementary use of different descriptionsp. 129
8.5 Educational implicationsp. 132
8.6 Summaryp. 136
9 Organizing Knowledgep. 137
9.1 Importance of knowledge organizationp. 138
9.2 Some forms of knowledge organizationp. 139
9.3 Dealing with large amounts of knowledgep. 142
9.4 Knowledge elaborationp. 143
9.5 Hierarchical knowledge organizationp. 145
9.6 Examples of hierarchical knowledge organizationsp. 149
9.7 Educational implicationsp. 155
9.8 Summaryp. 161
II-C Flexibilityp. 163
10 Making Decisionsp. 165
10.1 Importance of decision makingp. 166
10.2 Kinds of decisionsp. 168
10.3 Making complex decisionsp. 170
10.4 More refined option assessmentsp. 173
10.5 Limitations of analytic decisionsp. 177
10.6 Practical decision makingp. 180
10.7 Decisions in scientific domainsp. 183
10.8 Educational implicationsp. 185
10.9 Summaryp. 187
11 Introduction to Problem Solvingp. 189
11.1 Problem Characteristicsp. 190
11.2 Challenges of improving problem solvingp. 196
11.3 Educational implicationsp. 199
11.4 Summaryp. 200
12 Systematic Problem Solvingp. 201
12.1 A useful problem-solving strategyp. 201
12.2 Describing a problemp. 204
12.3 Analyzing a problemp. 207
12.4 Constructing a solutionp. 210
12.5 Examples of solution constructionsp. 214
12.6 Assessing a solutionp. 221
12.7 Exploiting a solutionp. 223
12.8 Educational implicationsp. 224
12.9 Summaryp. 227
13 Dealing with Complex Problemsp. 229
13.1 Managing complexity by task decompositionp. 229
13.2 Planningp. 231
13.3 Supportive knowledgep. 235
13.4 Helpful form of solutionp. 237
13.5 Quantitative and qualitative problemsp. 238
13.6 Writing as problem solvingp. 243
13.7 Applying the problem-solving strategy to writingp. 244
13.8 Educational implicationsp. 249
13.9 Summaryp. 252
II-D Efficiencyp. 255
14 Efficiency and Compiled Knowledgep. 257
14.1 Importance of efficiencyp. 258
14.2 Compiling knowledgep. 260
14.3 Routine performancep. 261
14.4 Automatic performancep. 263
14.5 Benefits and dangers of efficient performancep. 266
14.6 Educational implicationsp. 267
14.7 Summaryp. 269
II-E Reliabilityp. 271
15 Quality Assurancep. 273
15.1 Ensuring good qualityp. 274
15.2 Preventing defectsp. 276
15.3 Assessing performancep. 278
15.4 Improving performancep. 280
15.5 Metacognitionp. 281
15.6 Educational implicationsp. 282
15.7 Summaryp. 284
15.8 Good performance and the instructional challengep. 285
III Prior Knowledgep. 287
16 Unfamiliar Knowledge Domainsp. 289
16.1 Prior knowledge and new learningp. 290
16.2 Everyday and scientific domainsp. 293
16.3 Contrasting scientific and everyday cognitionsp. 297
16.4 Scientists' and students' conceptions of sciencep. 302
16.5 Educational implicationsp. 306
16.6 Summaryp. 308
17 Naive Scientific Knowledgep. 311
17.1 Characteristics of naive scientific knowledgep. 312
17.2 Students' prior knowledge about sciencep. 314
17.3 Naive conceptions about motionp. 316
17.4 Naive notions about the causes of motionp. 319
17.5 Force as a cause of motionp. 322
17.6 Educational implicationsp. 327
17.7 Summaryp. 332
IV Learning and Teachingp. 333
18 Developing Instructionp. 335
18.1 Instructional development as a problem-solving taskp. 335
18.2 Stages of instructional developmentp. 337
18.3 Overview of instructional developmentp. 339
18.4 Summaryp. 342
19 Designing the Learning Process: Goalsp. 343
19.1 Describing the learning problemp. 343
19.2 Analyzing the learning problemp. 347
19.3 Comparative analysisp. 354
19.4 Summaryp. 355
20 Designing the Learning Process: Meansp. 357
20.1 Decomposing and sequencing the learning processp. 357
20.2 Encoding new knowledgep. 360
20.3 Managing cognitive loadp. 361
20.4 Exploiting useful organizationp. 365
20.5 Ensuring the utility of acquired knowledgep. 372
20.6 Ensuring the reliability of acquired knowledgep. 373
20.7 Assessing a learning designp. 374
20.8 Achieving genuinely good performancep. 375
20.9 Summaryp. 375
21 Producing Instruction to Foster Learningp. 377
21.1 Describing the instructional problemp. 377
21.2 Analyzing instructional needsp. 380
21.3 Helpful instructional interactionsp. 381
21.4 Managing instructionp. 384
21.5 Learning by teachingp. 388
21.6 Assessing instructionp. 394
21.7 Summaryp. 399
V Implementing Practical Instructionp. 401
22 Traditional Instructional Methodsp. 403
22.1 The instructional delivery problemp. 403
22.2 Lecturesp. 406
22.3 Textbooksp. 408
22.4 Homework assignmentsp. 409
22.5 Small instructional groupsp. 411
22.6 Assessment of instructional deliveryp. 412
22.7 Summaryp. 415
23 Innovative Instructional Methodsp. 417
23.1 Modified lecture formsp. 417
23.2 Cooperative learningp. 420
23.3 Packaged instructionp. 423
23.4 Technology-supported instructionp. 428
23.5 Potential benefits of educational technologyp. 432
23.6 Summaryp. 437
24 Some Educational Challengesp. 439
24.1 Providing more individual learning assistancep. 439
24.2 Teaching general thinking and learning skillsp. 440
24.3 More scientific approaches to educationp. 443
24.4 More significant educational role of universitiesp. 445
24.5 Summaryp. 448
Referencesp. 451
Indexp. 465
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