Quantitative reasoning in the context of energy and environment :: modeling problems in the real world /
This book provides professional development leaders and teachers with a framework for integrating authentic real-world performance tasks into science, technology, engineering, and mathematics (STEM) classrooms. We incorporate elements of problem-based learning to engage students around grand challen...
Gespeichert in:
| Hauptverfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Rotterdam :
SensePublishers,
2014.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This book provides professional development leaders and teachers with a framework for integrating authentic real-world performance tasks into science, technology, engineering, and mathematics (STEM) classrooms. We incorporate elements of problem-based learning to engage students around grand challenges in energy and environment, place-based leaning to motivate students by relating the problem to their community, and Understanding by Design to ensure that understanding key concepts in STEM is the outcome. Our framework has as a basic tenet interdisciplinary STEM approaches to studying real-world problems. We invited professional learning communities of science and mathematics teachers to bring multiple lenses to the study of these problems, including the sciences of biology, chemistry, earth systems and physics, technology through data collection tools and computational science modeling approaches, engineering design around how to collect data, and mathematics through quantitative reasoning. Our goal was to have teachers create opportunities for their students to engage in real-world problems impacting their place; problems that could be related to STEM grand challenges demonstrating the importance and utility of STEM. We want to broaden the participation of students in STEM, which both increases the future STEM workforce, providing our next generation of scientists, technologists, engineers, and mathematicians, as well as producing a STEM literate citizenry that can make informed decisions about grand challenges that will be facing their generation. While we provide a specifi c example of an interdisciplinary STEM module, we hope to do more than provide a single fish. Rather we hope to teach you how to fish so you can create modules that will excite your students. |
| Beschreibung: | 1 online resource (viii, 446 pages) |
| ISBN: | 9789462095274 9462095272 |
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| 520 | |a This book provides professional development leaders and teachers with a framework for integrating authentic real-world performance tasks into science, technology, engineering, and mathematics (STEM) classrooms. We incorporate elements of problem-based learning to engage students around grand challenges in energy and environment, place-based leaning to motivate students by relating the problem to their community, and Understanding by Design to ensure that understanding key concepts in STEM is the outcome. Our framework has as a basic tenet interdisciplinary STEM approaches to studying real-world problems. We invited professional learning communities of science and mathematics teachers to bring multiple lenses to the study of these problems, including the sciences of biology, chemistry, earth systems and physics, technology through data collection tools and computational science modeling approaches, engineering design around how to collect data, and mathematics through quantitative reasoning. Our goal was to have teachers create opportunities for their students to engage in real-world problems impacting their place; problems that could be related to STEM grand challenges demonstrating the importance and utility of STEM. We want to broaden the participation of students in STEM, which both increases the future STEM workforce, providing our next generation of scientists, technologists, engineers, and mathematicians, as well as producing a STEM literate citizenry that can make informed decisions about grand challenges that will be facing their generation. While we provide a specifi c example of an interdisciplinary STEM module, we hope to do more than provide a single fish. Rather we hope to teach you how to fish so you can create modules that will excite your students. | ||
| 505 | 0 | |a ACKNOWLEDGEMENTS; CHAPTER 1: QUANTITATIVE REASONING: CHANGING PRACTICE IN SCIENCE AND MATHEMATICS: Current State of Practice and New Direction; INTRODUCTION; JUSTIFICATION; Preparing Students for Careers and Citizenship -- Stakeholder Tools; Mathematical Literacy; Quantitative Reasoning in Context (QRC) has four key processes:; Engagement; Inadequacies of Current Approach; QR STEM APPROACH; Grand Challenges; SUMMARY; REFERENCES; CHAPTER 1 APPENDIX: RESEARCH SUPPORTING QR FRAMEWORK; Act of Quantification; Quantitative Literacy; Quantitative Interpretation; Quantitative Modeling. | |
| 505 | 8 | |a QR in ContextCHAPTER 2: PEDAGOGICAL FRAMEWORK: A PATHWAY TO CITIZENSHIP PREPARATION: Professional Development Workshop; INTRODUCTION; SETTING THE STAGE; Establish a Topic; GRAND CHALLENGES; Relate Topic to Grand Challenges; PLACE-BASED LENSE; Relate Grand Challenges to Place; QR STEM SYMPOSIA DRIVERS; Narrow the Focus from Grand Challenges to Topics; Transportation; Electricity; Climate Change; PRE-ASSESSING TEACHER UNDERSTANDING; Energy, Environment, and QR Preconceptions; QR STEM SYMPOSIUM OUTLINE; REFERENCES; CHAPTER 2 APPENDIX: ENERGY AND ENVIRONMENT WORKSHOP HANDOUTS. | |
| 505 | 8 | |a HANDOUT 1: ENERGY CONTENT ASSESSMENTHANDOUT 2: QUANTITATIVE REASONING ASSESSMENT; HANDOUT 3: QUANTITATIVE REASONING ATTITUDE SURVEY; HANDOUT 4: STEM WITHIN ENERGY; HANDOUT 5: CBAM ASSESSMENT; HANDOUT 6: QUANTITATIVE REASONING IMPLEMENTATION MATRIX; HANDOUT 7: AUTHENTIC ASSESSMENT IMPLEMENTATION MATRIX; HANDOUT 2 SOLU TIONS; Quantitative Reasoning Teacher Assessment; CHAPTER 3: ENERGY AND ENVIRONMENT PERFORMANCE TASK; Understanding by Design Stage 1:; Enduring Understandings and Essential Questions; Assessing Understanding; Performance Task -- 6 Facets of Understanding. | |
| 505 | 8 | |a Performance Task -- GRASPSPlan Learning Experience and Instruction; The W in WHERETO; The H in WHERETO; The First E in WHERETO; The R in WHERETO; The Second E in WHERETO; The T in WHERETO; The O in WHERETO; Instructional Techniques; REFERENCES; CHAPTER 3 APPENDIX: UNDERSTANDING BY DESIGN TEMPLATES; CHAPTER 4: QUANTITATIVE REASONING IN STEM: What Does Quantitative Reasoning Look Like in Context?; INTRODUCTION; QUANTITATIVE REASONING LEARNING PROGRESSION; Trajectory of Learning for QR in Energy and Environment; QUANTITATIVE REASONING EXEMPLARS; Quantitative Literacy Exemplars. | |
| 505 | 8 | |a Quantitative Interpretation ExemplarsQuantitative Modeling Exemplars; CONCLUSION; REFERENCES/BIBLIOGRAPHY; CHAPTER 5: PETROLEUM: Energizing the World's Transportation; OVERVIEW; LIQUID FUELS; An Energy Carrier; Properties; Energy Content; Liquid Fuel Sources; Physical Characteristics; Chemical Characteristics; Crude Oil's Value; PETROLEUM GEOLOGY; Formation; Migration; Accumulation; Petroleum Traps; PETROLEUM PRODUCTION; Drilling; Well Configurations; Casing and Cementing; Well Completion; PETROLEUM RECOVERY; Production Curves; Primary Recovery; Enhanced Oil Recovery (EOR); Secondary Recovery. | |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn902724607 |
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| _version_ | 1816882302530093057 |
| adam_text | |
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| author | Mayes, Robert Myers, James |
| author_facet | Mayes, Robert Myers, James |
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| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | Q180 |
| callnumber-raw | Q180.55.Q36 M39 2014 |
| callnumber-search | Q180.55.Q36 M39 2014 |
| callnumber-sort | Q 3180.55 Q36 M39 42014 |
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| contents | ACKNOWLEDGEMENTS; CHAPTER 1: QUANTITATIVE REASONING: CHANGING PRACTICE IN SCIENCE AND MATHEMATICS: Current State of Practice and New Direction; INTRODUCTION; JUSTIFICATION; Preparing Students for Careers and Citizenship -- Stakeholder Tools; Mathematical Literacy; Quantitative Reasoning in Context (QRC) has four key processes:; Engagement; Inadequacies of Current Approach; QR STEM APPROACH; Grand Challenges; SUMMARY; REFERENCES; CHAPTER 1 APPENDIX: RESEARCH SUPPORTING QR FRAMEWORK; Act of Quantification; Quantitative Literacy; Quantitative Interpretation; Quantitative Modeling. QR in ContextCHAPTER 2: PEDAGOGICAL FRAMEWORK: A PATHWAY TO CITIZENSHIP PREPARATION: Professional Development Workshop; INTRODUCTION; SETTING THE STAGE; Establish a Topic; GRAND CHALLENGES; Relate Topic to Grand Challenges; PLACE-BASED LENSE; Relate Grand Challenges to Place; QR STEM SYMPOSIA DRIVERS; Narrow the Focus from Grand Challenges to Topics; Transportation; Electricity; Climate Change; PRE-ASSESSING TEACHER UNDERSTANDING; Energy, Environment, and QR Preconceptions; QR STEM SYMPOSIUM OUTLINE; REFERENCES; CHAPTER 2 APPENDIX: ENERGY AND ENVIRONMENT WORKSHOP HANDOUTS. HANDOUT 1: ENERGY CONTENT ASSESSMENTHANDOUT 2: QUANTITATIVE REASONING ASSESSMENT; HANDOUT 3: QUANTITATIVE REASONING ATTITUDE SURVEY; HANDOUT 4: STEM WITHIN ENERGY; HANDOUT 5: CBAM ASSESSMENT; HANDOUT 6: QUANTITATIVE REASONING IMPLEMENTATION MATRIX; HANDOUT 7: AUTHENTIC ASSESSMENT IMPLEMENTATION MATRIX; HANDOUT 2 SOLU TIONS; Quantitative Reasoning Teacher Assessment; CHAPTER 3: ENERGY AND ENVIRONMENT PERFORMANCE TASK; Understanding by Design Stage 1:; Enduring Understandings and Essential Questions; Assessing Understanding; Performance Task -- 6 Facets of Understanding. Performance Task -- GRASPSPlan Learning Experience and Instruction; The W in WHERETO; The H in WHERETO; The First E in WHERETO; The R in WHERETO; The Second E in WHERETO; The T in WHERETO; The O in WHERETO; Instructional Techniques; REFERENCES; CHAPTER 3 APPENDIX: UNDERSTANDING BY DESIGN TEMPLATES; CHAPTER 4: QUANTITATIVE REASONING IN STEM: What Does Quantitative Reasoning Look Like in Context?; INTRODUCTION; QUANTITATIVE REASONING LEARNING PROGRESSION; Trajectory of Learning for QR in Energy and Environment; QUANTITATIVE REASONING EXEMPLARS; Quantitative Literacy Exemplars. Quantitative Interpretation ExemplarsQuantitative Modeling Exemplars; CONCLUSION; REFERENCES/BIBLIOGRAPHY; CHAPTER 5: PETROLEUM: Energizing the World's Transportation; OVERVIEW; LIQUID FUELS; An Energy Carrier; Properties; Energy Content; Liquid Fuel Sources; Physical Characteristics; Chemical Characteristics; Crude Oil's Value; PETROLEUM GEOLOGY; Formation; Migration; Accumulation; Petroleum Traps; PETROLEUM PRODUCTION; Drilling; Well Configurations; Casing and Cementing; Well Completion; PETROLEUM RECOVERY; Production Curves; Primary Recovery; Enhanced Oil Recovery (EOR); Secondary Recovery. |
| ctrlnum | (OCoLC)902724607 |
| dewey-full | 507.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 507 - Education, research, related topics |
| dewey-raw | 507.2 |
| dewey-search | 507.2 |
| dewey-sort | 3507.2 |
| dewey-tens | 500 - Natural sciences and mathematics |
| discipline | Allgemeine Naturwissenschaft |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn902724607 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:26:27Z |
| institution | BVB |
| isbn | 9789462095274 9462095272 |
| language | English |
| oclc_num | 902724607 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (viii, 446 pages) |
| psigel | ZDB-4-EBA |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | SensePublishers, |
| record_format | marc |
| spelling | Mayes, Robert, author. Quantitative reasoning in the context of energy and environment : modeling problems in the real world / Robert Mayes and James Myers. Rotterdam : SensePublishers, 2014. 1 online resource (viii, 446 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Print version record. This book provides professional development leaders and teachers with a framework for integrating authentic real-world performance tasks into science, technology, engineering, and mathematics (STEM) classrooms. We incorporate elements of problem-based learning to engage students around grand challenges in energy and environment, place-based leaning to motivate students by relating the problem to their community, and Understanding by Design to ensure that understanding key concepts in STEM is the outcome. Our framework has as a basic tenet interdisciplinary STEM approaches to studying real-world problems. We invited professional learning communities of science and mathematics teachers to bring multiple lenses to the study of these problems, including the sciences of biology, chemistry, earth systems and physics, technology through data collection tools and computational science modeling approaches, engineering design around how to collect data, and mathematics through quantitative reasoning. Our goal was to have teachers create opportunities for their students to engage in real-world problems impacting their place; problems that could be related to STEM grand challenges demonstrating the importance and utility of STEM. We want to broaden the participation of students in STEM, which both increases the future STEM workforce, providing our next generation of scientists, technologists, engineers, and mathematicians, as well as producing a STEM literate citizenry that can make informed decisions about grand challenges that will be facing their generation. While we provide a specifi c example of an interdisciplinary STEM module, we hope to do more than provide a single fish. Rather we hope to teach you how to fish so you can create modules that will excite your students. ACKNOWLEDGEMENTS; CHAPTER 1: QUANTITATIVE REASONING: CHANGING PRACTICE IN SCIENCE AND MATHEMATICS: Current State of Practice and New Direction; INTRODUCTION; JUSTIFICATION; Preparing Students for Careers and Citizenship -- Stakeholder Tools; Mathematical Literacy; Quantitative Reasoning in Context (QRC) has four key processes:; Engagement; Inadequacies of Current Approach; QR STEM APPROACH; Grand Challenges; SUMMARY; REFERENCES; CHAPTER 1 APPENDIX: RESEARCH SUPPORTING QR FRAMEWORK; Act of Quantification; Quantitative Literacy; Quantitative Interpretation; Quantitative Modeling. QR in ContextCHAPTER 2: PEDAGOGICAL FRAMEWORK: A PATHWAY TO CITIZENSHIP PREPARATION: Professional Development Workshop; INTRODUCTION; SETTING THE STAGE; Establish a Topic; GRAND CHALLENGES; Relate Topic to Grand Challenges; PLACE-BASED LENSE; Relate Grand Challenges to Place; QR STEM SYMPOSIA DRIVERS; Narrow the Focus from Grand Challenges to Topics; Transportation; Electricity; Climate Change; PRE-ASSESSING TEACHER UNDERSTANDING; Energy, Environment, and QR Preconceptions; QR STEM SYMPOSIUM OUTLINE; REFERENCES; CHAPTER 2 APPENDIX: ENERGY AND ENVIRONMENT WORKSHOP HANDOUTS. HANDOUT 1: ENERGY CONTENT ASSESSMENTHANDOUT 2: QUANTITATIVE REASONING ASSESSMENT; HANDOUT 3: QUANTITATIVE REASONING ATTITUDE SURVEY; HANDOUT 4: STEM WITHIN ENERGY; HANDOUT 5: CBAM ASSESSMENT; HANDOUT 6: QUANTITATIVE REASONING IMPLEMENTATION MATRIX; HANDOUT 7: AUTHENTIC ASSESSMENT IMPLEMENTATION MATRIX; HANDOUT 2 SOLU TIONS; Quantitative Reasoning Teacher Assessment; CHAPTER 3: ENERGY AND ENVIRONMENT PERFORMANCE TASK; Understanding by Design Stage 1:; Enduring Understandings and Essential Questions; Assessing Understanding; Performance Task -- 6 Facets of Understanding. Performance Task -- GRASPSPlan Learning Experience and Instruction; The W in WHERETO; The H in WHERETO; The First E in WHERETO; The R in WHERETO; The Second E in WHERETO; The T in WHERETO; The O in WHERETO; Instructional Techniques; REFERENCES; CHAPTER 3 APPENDIX: UNDERSTANDING BY DESIGN TEMPLATES; CHAPTER 4: QUANTITATIVE REASONING IN STEM: What Does Quantitative Reasoning Look Like in Context?; INTRODUCTION; QUANTITATIVE REASONING LEARNING PROGRESSION; Trajectory of Learning for QR in Energy and Environment; QUANTITATIVE REASONING EXEMPLARS; Quantitative Literacy Exemplars. Quantitative Interpretation ExemplarsQuantitative Modeling Exemplars; CONCLUSION; REFERENCES/BIBLIOGRAPHY; CHAPTER 5: PETROLEUM: Energizing the World's Transportation; OVERVIEW; LIQUID FUELS; An Energy Carrier; Properties; Energy Content; Liquid Fuel Sources; Physical Characteristics; Chemical Characteristics; Crude Oil's Value; PETROLEUM GEOLOGY; Formation; Migration; Accumulation; Petroleum Traps; PETROLEUM PRODUCTION; Drilling; Well Configurations; Casing and Cementing; Well Completion; PETROLEUM RECOVERY; Production Curves; Primary Recovery; Enhanced Oil Recovery (EOR); Secondary Recovery. English. Quantitative research. http://id.loc.gov/authorities/subjects/sh2007000909 Environmental education. http://id.loc.gov/authorities/subjects/sh85044169 Recherche quantitative. SCIENCE Study & Teaching. bisacsh Environmental education fast Quantitative research fast onderwijs education Education (General) Onderwijs (algemeen) Myers, James, author. Springer eBooks Print version: Mayes, Robert L. Quantitative reasoning in the context of energy and environment 9789462095267 (OCoLC)897345873 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=970750 Volltext |
| spellingShingle | Mayes, Robert Myers, James Quantitative reasoning in the context of energy and environment : modeling problems in the real world / ACKNOWLEDGEMENTS; CHAPTER 1: QUANTITATIVE REASONING: CHANGING PRACTICE IN SCIENCE AND MATHEMATICS: Current State of Practice and New Direction; INTRODUCTION; JUSTIFICATION; Preparing Students for Careers and Citizenship -- Stakeholder Tools; Mathematical Literacy; Quantitative Reasoning in Context (QRC) has four key processes:; Engagement; Inadequacies of Current Approach; QR STEM APPROACH; Grand Challenges; SUMMARY; REFERENCES; CHAPTER 1 APPENDIX: RESEARCH SUPPORTING QR FRAMEWORK; Act of Quantification; Quantitative Literacy; Quantitative Interpretation; Quantitative Modeling. QR in ContextCHAPTER 2: PEDAGOGICAL FRAMEWORK: A PATHWAY TO CITIZENSHIP PREPARATION: Professional Development Workshop; INTRODUCTION; SETTING THE STAGE; Establish a Topic; GRAND CHALLENGES; Relate Topic to Grand Challenges; PLACE-BASED LENSE; Relate Grand Challenges to Place; QR STEM SYMPOSIA DRIVERS; Narrow the Focus from Grand Challenges to Topics; Transportation; Electricity; Climate Change; PRE-ASSESSING TEACHER UNDERSTANDING; Energy, Environment, and QR Preconceptions; QR STEM SYMPOSIUM OUTLINE; REFERENCES; CHAPTER 2 APPENDIX: ENERGY AND ENVIRONMENT WORKSHOP HANDOUTS. HANDOUT 1: ENERGY CONTENT ASSESSMENTHANDOUT 2: QUANTITATIVE REASONING ASSESSMENT; HANDOUT 3: QUANTITATIVE REASONING ATTITUDE SURVEY; HANDOUT 4: STEM WITHIN ENERGY; HANDOUT 5: CBAM ASSESSMENT; HANDOUT 6: QUANTITATIVE REASONING IMPLEMENTATION MATRIX; HANDOUT 7: AUTHENTIC ASSESSMENT IMPLEMENTATION MATRIX; HANDOUT 2 SOLU TIONS; Quantitative Reasoning Teacher Assessment; CHAPTER 3: ENERGY AND ENVIRONMENT PERFORMANCE TASK; Understanding by Design Stage 1:; Enduring Understandings and Essential Questions; Assessing Understanding; Performance Task -- 6 Facets of Understanding. Performance Task -- GRASPSPlan Learning Experience and Instruction; The W in WHERETO; The H in WHERETO; The First E in WHERETO; The R in WHERETO; The Second E in WHERETO; The T in WHERETO; The O in WHERETO; Instructional Techniques; REFERENCES; CHAPTER 3 APPENDIX: UNDERSTANDING BY DESIGN TEMPLATES; CHAPTER 4: QUANTITATIVE REASONING IN STEM: What Does Quantitative Reasoning Look Like in Context?; INTRODUCTION; QUANTITATIVE REASONING LEARNING PROGRESSION; Trajectory of Learning for QR in Energy and Environment; QUANTITATIVE REASONING EXEMPLARS; Quantitative Literacy Exemplars. Quantitative Interpretation ExemplarsQuantitative Modeling Exemplars; CONCLUSION; REFERENCES/BIBLIOGRAPHY; CHAPTER 5: PETROLEUM: Energizing the World's Transportation; OVERVIEW; LIQUID FUELS; An Energy Carrier; Properties; Energy Content; Liquid Fuel Sources; Physical Characteristics; Chemical Characteristics; Crude Oil's Value; PETROLEUM GEOLOGY; Formation; Migration; Accumulation; Petroleum Traps; PETROLEUM PRODUCTION; Drilling; Well Configurations; Casing and Cementing; Well Completion; PETROLEUM RECOVERY; Production Curves; Primary Recovery; Enhanced Oil Recovery (EOR); Secondary Recovery. Quantitative research. http://id.loc.gov/authorities/subjects/sh2007000909 Environmental education. http://id.loc.gov/authorities/subjects/sh85044169 Recherche quantitative. SCIENCE Study & Teaching. bisacsh Environmental education fast Quantitative research fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2007000909 http://id.loc.gov/authorities/subjects/sh85044169 |
| title | Quantitative reasoning in the context of energy and environment : modeling problems in the real world / |
| title_auth | Quantitative reasoning in the context of energy and environment : modeling problems in the real world / |
| title_exact_search | Quantitative reasoning in the context of energy and environment : modeling problems in the real world / |
| title_full | Quantitative reasoning in the context of energy and environment : modeling problems in the real world / Robert Mayes and James Myers. |
| title_fullStr | Quantitative reasoning in the context of energy and environment : modeling problems in the real world / Robert Mayes and James Myers. |
| title_full_unstemmed | Quantitative reasoning in the context of energy and environment : modeling problems in the real world / Robert Mayes and James Myers. |
| title_short | Quantitative reasoning in the context of energy and environment : |
| title_sort | quantitative reasoning in the context of energy and environment modeling problems in the real world |
| title_sub | modeling problems in the real world / |
| topic | Quantitative research. http://id.loc.gov/authorities/subjects/sh2007000909 Environmental education. http://id.loc.gov/authorities/subjects/sh85044169 Recherche quantitative. SCIENCE Study & Teaching. bisacsh Environmental education fast Quantitative research fast |
| topic_facet | Quantitative research. Environmental education. Recherche quantitative. SCIENCE Study & Teaching. Environmental education Quantitative research |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=970750 |
| work_keys_str_mv | AT mayesrobert quantitativereasoninginthecontextofenergyandenvironmentmodelingproblemsintherealworld AT myersjames quantitativereasoninginthecontextofenergyandenvironmentmodelingproblemsintherealworld |