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Kategorie szczegółowe BISAC

Uncertainty and Graphing in Discovery Work: Implications for and Applications in STEM Education

ISBN-13: 9789400770089 / Angielski / Twarda / 2014 / 454 str.

Wolff-Michael Roth
Uncertainty and Graphing in Discovery Work: Implications for and Applications in STEM Education Wolff-Michael Roth 9789400770089 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Uncertainty and Graphing in Discovery Work: Implications for and Applications in STEM Education

ISBN-13: 9789400770089 / Angielski / Twarda / 2014 / 454 str.

Wolff-Michael Roth
cena 403,47 zł
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This book describes and theorizes the function of graphs and graphing in scientific discovery work from a social practice perspective. In this work, graphs are both topic and tool. In discovery work, where scientists do not initially know what to make of graphs, there is a lot of uncertainty and scientists struggle in trying to make sense of what to make of graphs. Contrary to the belief that scientists unproblematically "interpret" graphs, the chapters in this book show that uncertainty about their research object is tied to uncertainty of the graphs. It may, as in this study, take several years of struggle in their workplace before scientists come to know just what their graphs are evidence of. Scientists may resist what eventually comes to be known as the correct interpretations - leading, as in the present case, to a discovery that overthrows what has been a 60-year scientific canon. Graphs turn out to stand to the entire research in a part/whole relation, where scientists not only need to be highly familiar with the context from which their data are extracted but also with the entire process by means of which the natural world comes to be transformed and represented in the graph. This has considerable implications for science, technology, engineering, and mathematics education at the secondary and tertiary level and in vocational training.

Kategorie:
Podręczniki
Kategorie BISAC:
Science > Study & Teaching
Education > Teaching - Subjects - Mathematics
Wydawca:
Springer
Język:
Angielski
ISBN-13:
9789400770089
Rok wydania:
2014
Dostępne języki:
Angielski
Wydanie:
2014
Ilość stron:
454
Waga:
8.28 kg
Wymiary:
23.523.5 x 15.5
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

Preface.- PART A: INTRODUCTION.- 1. Toward a Dynamic Theory of Graphing.- PART B: GRAPHING IN A DISCOVERY SCIENCE.- 2. Radical Uncertainty in/of the Discovery Sciences.- 3. Uncertainties in/of Data Generation.- 4. Coping with Variability.- 5. Undoing Decontextualization.- 6. On Contradictions in Data Interpretation.- 7. A Scientific Revolution that Was Not.- 8. Some Lessons from Discovery Science.- PART C: RETHEORIZING GRAPHING.- 9. Graphing*-in-the-Making.- 10. Graphing in, for, and as Societal Relation.- PART D: UNCERTAINTY AND GRAPHING IN STEM EDUCATION.- 11. Uncertainty, Inquiry, Bricolage.-12. Data and Graphing in STEM Education.- PART D: EPILOGUE.- 13. Discovery Science and Authentic Learning.- Appendix.- References.- Index.

This book deals with uncertainty and graphing in scientific discovery work from a social practice perspective. It is based on a 5-year ethnographic study in an advanced experimental biology laboratory. The book shows how, in discovery work where scientists do not initially know what to make of graphs, there is a great deal of uncertainty and scientists struggle in trying to make sense of what to make of graphs. Contrary to the belief that scientists have no problem “interpreting” graphs, the chapters in this book make clear that uncertainty about their research object is tied to uncertainty of the graphs. It may take scientists several years of struggle in their workplace before they find out just what their graphs are evidence of. Graphs turn out to stand to the entire research in a part/whole relation, where scientists not only need to be highly familiar with the context from which their data are extracted but also with the entire process by means of which the natural world comes to be transformed and represented in the graph. This has considerable implications for science, technology, engineering, and mathematics education at the secondary and tertiary level, as well as in vocational training. This book discusses and elaborates these implications.



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