دسترسی نامحدود
برای کاربرانی که ثبت نام کرده اند
برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید
در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید
برای کاربرانی که ثبت نام کرده اند
درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش: نویسندگان: Paul Christian Dawkins, Amy J. Hackenberg, Anderson Norton سری: ISBN (شابک) : 9783031473869, 9783031473852 ناشر: Springer سال نشر: 2024 تعداد صفحات: 0 زبان: English فرمت فایل : EPUB (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 22 مگابایت
در صورت تبدیل فایل کتاب Piaget’s Genetic Epistemology for Mathematics Education Research به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب معرفت شناسی ژنتیکی پیاژه برای تحقیقات آموزش ریاضی نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Contents About the Authors Part I: Introduction to Piaget’s Genetic Epistemology and the Tradition of Use Featured in This Book Chapter 1: Introduction to Piaget’s Genetic Epistemology Introduction Why Is Piaget’s Genetic Epistemology Useful? Organization of the Book References Chapter 2: An Historical Reflection on Adapting Piaget’s Work for Ongoing Mathematics Education Research Piaget and Modern Mathematics Development vs. Learning Developmental vs. Mathematical Structure Preludes to IRON (Interdisciplinary Research on Number) Piagetian Research A Change in Research Program A Fortunate Introduction Interdisciplinary Research on Number (IRON) Original Members of IRON Ernst as Scientist Piaget’s Epistemic Child Conceptual Analysis The First Type Attentional Moments and the Unitizing Operation The Second Type Schemes Systems of Schemes The Initial Number Sequence as a Scheme Operationalizing Reflective Abstraction Constructing the Initial Number Sequence Further Operationalizing Reflective Abstraction Learning Stages The Perceptual Stage The Figurative Stage Percent of First-Grade Children in the Perceptual Stage Further Criteria of Learning Stages Modifications in the Initial Number Sequence Modifications in the Explicitly Nested Number Sequence The Fractions Teaching Experiment The Equipartitioning Scheme: A Functional Accommodation Pre-fractional Children The Partitive Fraction Scheme The Iterative Fraction Scheme Final Comments References Part II: Key Constructs from Genetic Epistemology Being Used in Ongoing Mathematics Education Research Chapter 3: Schemes and Scheme Theory: Core Explanatory Constructs for Studying Mathematical Learning Brief Overview of Glasersfeld’s Radical Constructivist Epistemology Piaget’s Development and Glasersfeld’s Three-Part Definition of Schemes Schemes from Reflexes Sensory Motor and Conceptual Schemes Empirical Example of Glasersfeld’s Three-Part Definition of Scheme: Michael Solves the Outfits Problem Building on Glasersfeld’s Definition of Schemes: Steffe’s Tetrahedral Model Nuances in Steffe’s Definition of a Scheme Empirical Example of Nuances in Steffe’s Definition of Scheme: Nico’s Reversible Scheme Using Schemes to Investigate Learning Assimilation, Perturbation, and Accommodation Empirical Example of Assimilation: Carlos’s Solution of the Flag Problem Empirical Example of Perturbation: Carlos’s Solution of the Flag Problem Empirical Example of Functional Accommodation: Carlos’s Solution of the Handshake Problem Situating Investigations of Learning Within a Broader Framework: Stages Glasersfeld’s Definition of Stage Hackenberg’s and Norton’s Stages of Multiplicative Reasoning and a 2-slot MPS Recursion in Thompson’s Definition of Scheme Empirical Example of a Stage 2 Student Sequentially Using Her MPS: Mikayla Solves the Sandwich Problem Empirical Example of a Stage 3 Student Recursively Inserting Operations into a Scheme: Tyrone Solves the Card Problem Revisiting Theoretical Constructs Relative to the Data Examples Investigating Learning of Stage 3 Students: Levels of Schemes Empirical Example of Different Levels of a Scheme for Stage 3 Students: Armando Solves the Colored Digits Problem Levels, Functional Metamorphic Accommodation, and Reflecting Abstraction Conclusion References Chapter 4: Operationalizing Figurative and Operative Framings of Thought Introduction Some “Definitions” Uses and Evolution of Figurative and Operative Thought Transitioning the Constructs to Mathematics Education Transitioning the Constructs to Higher Level Mathematics Models of Students’ Graphical Thinking Informing Generalized Models of Student Thinking Adapting the Distinctions to Other Representations Transitioning the Constructs Back to the Study of Meaning Construction Implications for Methodology and Task-Design Moving Forward References Chapter 5: Figurative and Operative Imagery: Essential Aspects of Reflection in the Development of Schemes and Meanings Imagery Imagery, Schemes, and Meanings Images and Schemes First-Level Imagery (Deferred Imitation) Second-Level (Figurative) Imagery Third-Level (Operative) Imagery Summary Imagery, Schemes, and Reflective Abstraction Case Studies Imagery in the Construction of a Nim Scheme Session 1: June 17, 2020 21 and 3 38 and 8 33 and 7 Session 2: July 28, 2020 21 and 3 36 and 5 General Nim Discussion Nim Scheme General Nim Scheme Implications for Math Education Implications for Mathematics Teaching Implications for Mathematics Education Research Imagery in the Projection from Figurative to Reflected Thought Implications for Mathematics Education Implications for Mathematics Teaching and Mathematics Education Research Discussion References Chapter 6: Empirical and Reflective Abstraction The Enduring Attention to Abstraction Considering Abstraction When Making Sense of Student Reasoning Angelo Willow The Basis for Angelo and Willow’s Abstractions Empirical Abstraction Reflective Abstraction Two Phases of Reflective Abstraction Pseudo-empirical Abstraction Reflecting Abstraction Reflected Abstraction Data Episodes The Faucet Task Mario Engages in Empirical and Reflective Abstractions Kendis and Camila Engage in Pseudo-empirical, Reflecting, and Reflected Abstractions The Passwords Activity Tyler Engages in Pseudo-empirical and Reflecting Abstraction A Group of Students Engage in Pseudo-empirical, Reflecting, and Reflected Abstraction Discussion Standards of Evidence The Cyclical Nature of Abstraction The Value of Abstraction as a Construct References Chapter 7: Groups and Group-Like Structures Two Kinds of Structure Groups Closure Identity and Reversibility Associativity Group-Like Structures Properties of Groupings A Critical Analysis of Groupings The Splitting Loope and the Splitting Group Genetic Roots in Mathematics The Erlangen Program INRC and the Bourbaki Applying Mathematical Structures to Mathematics Education Research Summary References Chapter 8: Reflected Abstraction Introduction Piagetian Abstraction Empirical Abstraction Pseudo-Empirical Abstraction Reflecting Abstraction Reflected Abstraction What Is Reflected Abstraction? Supporting Retroactive Thematization Example of Applying a Reflected Scheme Relation of Reflected Abstraction to Other Piagetian Constructs The Semiotic Function and Representational Thought Schemes and Equilibration Imagery Figurative and Operative Modes of Thought Relation of Reflected Abstraction to Theoretical Constructs within Mathematics Education Research APOS Theory Harel’s Duality Principle Quantitative and Covariational Reasoning Lobato’s Actor-Oriented Transfer Implications of Reflected Abstraction Implications for Mathematics Education Research on Student Learning Implications for Supporting Students’ Learning in Teaching Contexts Implications for Researching and Supporting Teachers’ Pedagogical Content Knowledge Final Comments on Genetic Epistemology’s Place in Educational Psychology and Mathematics Education References Chapter 9: The Construct of Decentering in Research on Mathematics Learning and Teaching Theoretical Background, Framing, and Connections Decentering’s Origins and Adaptation for Use in Mathematics Education Research The Origins of Decentering in Piaget’s Genetic Epistemology Adapting Decentering for Use in Mathematics Education Research Connections Between Decentering and Other Theoretical Constructs Used in Mathematics Education Reflecting and Reflected Abstraction and Their Connection to Decentering in the Context of Teaching First- and Second-Order Models and Their Connection to Decentering Mathematical Knowledge for Teaching and Its Connection to Decentering Key Developmental Understanding (KDU) and Pedagogical Understanding Epistemic Students Emerge from Conceptual Analysis and Second-Order Models Clinical Interview Methodology The Role of Decentering in Clinical Interview Data Collection Examples of Decentering in Mathematics Education Research Example 1: How a Researcher’s Meaning for Rate of Change Informed Data Collection and Data Analysis Example 2: Researcher Decentering in a Teaching Experiment on Logarithms Iterative Models of a Student’s Thinking Informs Teaching Experiment Design Exploratory Teaching Interviews Lead to Advancements in a Researcher’s First-Order Model First-Order Models, Decentering, Second-Order Models, and Conceptual Analysis Inform Task Design Modeling Student Thinking in the Context of a Teaching Experiment Comments on Examples 1 and 2 Uses of Decentering When Studying Teachers and Teaching Elaborating Our Meaning for MMT and Its Symbiotic Relationship with Decentering The Symbiotic Relationship Between a Teacher’s Meaning for an Idea and Her Decentering Actions Advances in a Teacher’s Ways of Thinking About Teaching an Idea Shifts in a Teacher’s Meaning for the Idea of Average Rate of Change (AROC) and Her Ways of Thinking About Teaching the Idea of AROC Decentering Actions Lead to Advances in a Teacher’s MMT for Teaching AROC Characterizing Teacher Decentering Decentering as a Construct for Studying Teachers A Decentering Framework for Studying Teaching Concluding Remarks References Chapter 10: Logic in Genetic Epistemology Introduction and Goals The Nature of Logic and Its Possible Relations to Human Reasoning Logic and Psychology: Respectfully Disjoint Logic and Psychology: A Recurring Methodological Conundrum Extension and Intension Implication and Inference The Tasks Modeling Stages and Stages of Modeling Varying Use of Propositional Variable Expressions Syntactic Transformations as Researcher Inferences Elaborating Possibilities and “All Other Things Being Equal” Reasoning The Child and Researcher’s Constructions of the Truth Table of 16 Possibilities Logic of Meanings: Assimilation as Extension Concluding Lessons References Chapter 11: Students’ Units Coordinations Introduction What Is Units Coordination? Definitions and Characterizations, with Examples Students at Stage 1 Students at Stage 2 Students at Stage 3 How Have Researchers Used Units Coordination in Research? Units Coordination and Fractions Knowledge: An Overview Units Coordination and Fraction Knowledge: Examples Stage 1 Stage 2 Stage 3 Units Coordination and Algebraic Reasoning: Examples Stages 1, 2, and 3: Quantitative Unknowns and Conjectures About Them Stages 2 and 3: Drawings of Quantitative Unknowns Stages 2 and 3: Equation Writing Data Excerpt 1: Elliot and the Teacher Converse About His Ideas About Equations Stage 3: Reciprocal Reasoning Standards of Evidence for Making Claims about Units Coordination Preliminary Requirements Good Tasks Good Probing of Students Good Records of Students’ Interactions and Work Data Analysis and Claims: An Example Working Model of Emily’s Mathematics in September Retrospective Model of Emily’s Mathematics in September Data Except 2: Emily’s Work on the Tiles Problem Data Excerpt 3: Determining the Number of Cans of Juice in the Crate Continuation of Data Except 3: Continuing to Determine the Number of Cans in the Crate Second Continuation of Data Except 3: What Does the 32 Mean? Population Estimates and Stage Changes Conclusion References Chapter 12: Modeling Quantitative and Covariational Reasoning Modeling Quantitative and Covariational Reasoning Meanings for “Quantitative” and “Covariational” Gross, Intensive, and Extensive Quantities The Meaning of Quantity Arithmetic Reasoning, Quantitative Reasoning, and Reasoning Quantitatively Reasoning Quantitatively Modeling Students’ Images of Speed Variational Reasoning Models of Continuous Variation Chunky, Smooth, and Scaling Continuous Variational Reasoning Quantitative Variational Reasoning Covariational Reasoning as Correspondence Between Variations Methodological Considerations for Investigating Quantitative and Covariational Reasoning The Role of Technology in Quantitative and Covariational Reasoning Role of Modeling Education in Promoting Quantitative and Covariational Reasoning References Part III: Commentaries on Genetic Epistemology and Its Use in Ongoing Research Chapter 13: Genetic Epistemology as a Complex and Unified Theory of Knowing Genetic Epistemology Historicocritical and Psychogenetic Methods How Is Mathematical Knowledge Possible? Connections to Prior Chapters and Critical Constructs Chapter 3: Schemes and Operations Chapter 4: Figurative and Operative Thought Chapter 5: Images Chapter 6: Empirical, Pseudoempirical, and Reflective Abstraction Chapter 7: Groups and Groupings Chapter 8: Reflected Abstraction Chapter 9: Decentering Chapter 10: Logic Chapter 11: Units Coordination Chapter 12: Quantitative and Covariational Reasoning Future Directions for Genetic Research What Are the Relationships Between Units Coordination and Covariational Reasoning? How Can We Support Students’ Stagewise Development of Units Coordination? Can We Specify the Coordination of Actions That Constitute Reflective Abstraction Across Various Mathematical Domains? What Is the Appropriate Role of Formalization in Mathematics Education? How Might Teachers Assess Students’ Available Mental Actions and Model Their Coordination as Reversible and Composable Operations? Conclusion References Chapter 14: Second-Order Models as Acts of Equity Defining Acts of Equity How Are Making and Using Second-Order Models Acts of Equity? Making Second-Order Models What Is a Second-Order Model? Why Is Making a Second-Order Model an Act of Equity? Establishing Epistemic Students What Is an Epistemic Student? Why Is Establishing an Epistemic Student an Act of Equity? Using Second-Order Models and Epistemic Students What Does It Mean to Use Second-Order Models and Epistemic Students? How Is Using Epistemic Students an Act of Equity? How Can We Enhance Current Second-Order Models? Social Identity Categories and Social Identities Whose Reasoning Is Represented in Our Models? Participants’ Social Identity Categories Who Are the Model Builders? Researchers’ Social Identity Categories Theorizing About Social Identity Categories and Social Identities Considerations for Making Second-Order Models That Account for Social Identities Example 1: Addressing gender equity in interactions Acts of Equity in an Interaction Making Second-Order Models That Include Acts of Equity in Interactions Example 2: Designing to address equity Designing Interactions to Address an Equity Issue Making Second-Order Models from the Study Looking Ahead References Chapter 15: Reflections on the Power of Genetic Epistemology by the Modern Cognitive Psychologist Reflections of Respectful Tourists What a GE Approach to Mathematical Cognition Offers for Psychology A Paean to Construct Validity GE’s Potential Contribution to Psychology, Construct #1: Fraction Schemes GE’s Potential Contribution to Psychology, Construct #2: The Figurative/Operative Distinction What Can Psychology Offer to the Genetic Epistemologist? The GE Approach Would Be Much more Powerful If Updated to Feature a Theory of Memory The GE Approach Would Be Much more Powerful If Updated with a Probabilistic, Emergentist Conception of Cognition A Major “What If” References Chapter 16: Skepticism and Constructivism Key Lessons I Glean from Piagetian Constructivism A Useful Example of a Piagetian Experiment The Principle of Subjective Rationality Rationality and Normativity Knowledge Assumes a Knower Skepticism in Modeling Scientific Model Building and Ontological Correspondence Wittgenstein’s on Certainty (1969) Considering Constructivist Skepticism The Contradiction of Radical Constructivism and Philosophical Skepticism Improving Communication Summary and Conclusions References Part IV: Using Constructs from Genetic Epistemology to Develop Agendas of Research Chapter 17: Researching Special Education: Using and Expanding Upon Genetic Epistemology Constructs Mathematics Interventions and Students with Disabilities Turning Around Genetic Epistemology as Part of a Framework for Equity and Inclusion Expanding Theory and Building a New Evidence Base References Chapter 18: Research in Subitizing to Examine Early Number Construction Questions Regarding Children’s Number Construction Units Construction and Subitizing Activity Genetic Epistemology as a Pathway to Early Childhood Mathematics Education Scholarship Next Steps in Early Childhood Mathematics Education Equitable Access to Opportunities for Number Construction Conclusion and Final Thoughts References Chapter 19: Researching Coordinate Systems Using Genetic Epistemology Constructs Piaget’s Distinctions in Children’s Organizations of Space Piaget’s Logical Multiplication of Measurements and Units Coordination References Chapter 20: Researching Quantifications of Angularity Using Genetic Epistemology Constructs Distinguishing Quantifications of Angularity Using Piagetian Constructs Thinking About One-Degree Angles in the Content Course Establishing Orienting Constructs in the Doctoral Seminar and Elsewhere Consulting and Organizing Prior Literature Formulating Hypotheses Designing Some Initial Interview Tasks Concluding Remarks References Chapter 21: Using Constructivism to Develop an Agenda of Research in Stochastics Education Research Researching People’s Meanings Researching Teaching A Radical Constructivist Statistician Final Thoughts References Index