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Information Processing Family
Inductive Thinking Model
         Madhavi Dharankar
   dharankar.madhavi@yahoo.com
Hilda Taba
                                                 (1902 - 1967)

                                                 Formation of
                                                 Concepts by
                                                 Collection and
                                                 Organization of
                                                 Information)


2   Madhavi_Dharankar_Inductive_Thinking_Model
Hilda Taba
    Curriculum Theorist, a curriculum reformer, and a teacher
     educator
    strong belief that students could be taught to think —
     specifically to analyze information and create concept
    students make generalizations only after data are organized. 
     She believed that students can be led toward making
     generalizations through concept development
    contributed to the theoretical and pedagogical foundations of
     concept development and critical thinking in social studies
     curriculum

3   Madhavi_Dharankar_Inductive_Thinking_Model
Hilda Taba: “Concept Formation”
    Three main assumptions in developing her teaching model
        Thinking can be taught.
        Thinking is an active transaction between the individual and
         data.
        Processes of thought evolve by a sequence that is "lawful.“
    Taba approach. The four strategies are
        concept development,
        interpretation of data,
        application of generalizations, and
        interpretations of feelings, attitudes and values


4   Madhavi_Dharankar_Inductive_Thinking_Model
She believed…
    • Hilda Taba believed that students make generalizations only
      after information is organized.
    • She believed that students could be led toward making
      generalizations through concept development and concept
      attainment strategies.
    • According to Taba, the best way to deal with increase in
      knowledge is to emphasize the "acquisition, understanding,
      and use of ideas and concepts rather than facts alone."




5      Madhavi_Dharankar_Inductive_Thinking_Model
A Rationale for using Data Bases
     Obtaining Background: Students need to read or research designated curricular topics.
       This includes going on field trips, watching videos, and listening to visitors to the
       classroom.
     Planning: Students participate in brainstorming that gives them the opportunity to recall
       large amounts of data. Recalling data also serves to develop concepts.
     Organizing: Students learn and apply organizational skills when they plan a data base.
     Gathering Facts: Students extend their research skills as they fit facts into categories.
     Using Tools: Students learn to create and use a data base to store data in an organized,
       efficient manner.
     Questioning: Students learn to formulate questions that result in the extraction of
       information from the data base.
     Hypothesizing: Students learn to state and test their own hypotheses.
     Analyzing: Students quickly understand associations and relationships within the data
       base.
     Evaluating: Students understand the difference between data and information.

6   Madhavi_Dharankar_Inductive_Thinking_Model
Inductive Thinking Model:            Syntax
    1.        Concept Formation
          •      Enumeration and Listing
          •      Grouping
          •      Labeling, Categorization
    1.        Presentation of Learning Material
          •      Identifying Critical Relationships
          •      Exploring relationships
          •      Making Inferences
    1.        Application of Principles
          •      Predicting consequences, Explaining Unfamiliar Phenomena,
                 Hypothesizing
          •      Explaining and/ or supporting the Predictions and Hypotheses
          •      Verifying the Predictions



7   Madhavi_Dharankar_Inductive_Thinking_Model
Inductive Thinking Model:               Social System
    Focus
    Conceptual Control
    Converting Conceptual Understanding to Skill
    It is Cooperative, but the teacher is the initiator and
       controller of activities




8   Madhavi_Dharankar_Inductive_Thinking_Model
Inductive Thinking Model
    Principles of Reaction
        Teacher
            Matches tasks to students’ level of cognitive activity
            Determines students’ readiness


    Support System
        Students need raw data to organise and analyse
        Data Retrieval Chart (DRC)




9   Madhavi_Dharankar_Inductive_Thinking_Model
Data Retrieval Chart (DRC)
                                             Main Points
          Concept
          Name




                                                   Main Points
     Season            Temperature Humidity                Changes Changes
                                                           in Nature in Human
                                                                     Life
     Summer
     Monsoon

10
     Winter
      Madhavi_Dharankar_Inductive_Thinking_Model
Types of Data Retrieval Charts
                                 Structured            Semi-structured       Unstructured

     Feature                 Specific concept/ Specific concept/         Specific concept/
                             principle is fixed principle is fixed in    principle is not fixed
                             in teacher’s mind teacher’s mind            in teacher’s mind,
                                                                         only general area is
                                                                         decided
     In focus                Content                 Both content and    Process in focus,
                                                     process             content is contextual


     Formats,                Teacher decides         Both teacher and    Students decide
     Components and                                  students decide
     content of the
     chart
     Research Process        Very little scope       Some scope          A large scope
11      Madhavi_Dharankar_Inductive_Thinking_Model
Process          Step                            Teacher                     Student
Listing          Teacher or students lists       Tell me what you see        List specific items
                 items related to a subject
                                                 Tell me what you know
Grouping         Students group the items        Do any of these items       Finds similarity as a basis for
                                                 belong together?            grouping items
Labeling         Students gives label for the    What would you call these   Verbalizes a label(s) that
                 newly defined groups.           groups you have formed?     encompasses all items
                 Students explain reason for                                 Identifies and verbalizes
                 their choices.                  Why would you group         common characteristics of
                                                 them together?              items in a group
Regrouping       Students regroup items or       Could some of these         States different relationships
                 subsume individual items or     belong to more than one     States additional different
                 whole groups                    group? Can we put these     relationships
                                                 same items in different
                                                 groups? Why would you
                                                 group them that way?
Evaluating   Students synthesize the             Can someone say in one      Offers a summary statement
or           information by summarizing          sentence something about
Synthesizing the data and forming                all these groups?
             generalizations
12         Madhavi_Dharankar_Inductive_Thinking_Model
Inductive Thinking Model:               Effects
     Instructional Effects
         Information, concepts, skills, hypothesis formation
         Concept formation processes
         Concepts and conceptual systems and their application
     Nurturant Effects
         Spirit of inquiry
         Awareness of the nature of knowledge
         Logical thinking




13   Madhavi_Dharankar_Inductive_Thinking_Model
Inductive Thinking Model:            Educational Implications
      Utility at varying levels, subjects, content, processes, learning
       styles
      Causes students
         To collect information and examine it closely
         To learn to manipulate the concepts
      If used regularly,
         Increases students’ abilities to form concepts efficiently
         Increases the range of perceptions from which they can view
            information
      In support of projects, researches
      Model can go for a few hours/ days/ weeks/ months
      Many projects in various subjects could be generated

14   Madhavi_Dharankar_Inductive_Thinking_Model
Questions???

     Discussions!!!


15     Madhavi_Dharankar_Inductive_Thinking_Model

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Inductive thinking theory

  • 1. Information Processing Family Inductive Thinking Model Madhavi Dharankar dharankar.madhavi@yahoo.com
  • 2. Hilda Taba (1902 - 1967) Formation of Concepts by Collection and Organization of Information) 2 Madhavi_Dharankar_Inductive_Thinking_Model
  • 3. Hilda Taba Curriculum Theorist, a curriculum reformer, and a teacher educator strong belief that students could be taught to think — specifically to analyze information and create concept students make generalizations only after data are organized.  She believed that students can be led toward making generalizations through concept development contributed to the theoretical and pedagogical foundations of concept development and critical thinking in social studies curriculum 3 Madhavi_Dharankar_Inductive_Thinking_Model
  • 4. Hilda Taba: “Concept Formation” Three main assumptions in developing her teaching model Thinking can be taught. Thinking is an active transaction between the individual and data. Processes of thought evolve by a sequence that is "lawful.“ Taba approach. The four strategies are concept development, interpretation of data, application of generalizations, and interpretations of feelings, attitudes and values 4 Madhavi_Dharankar_Inductive_Thinking_Model
  • 5. She believed… • Hilda Taba believed that students make generalizations only after information is organized. • She believed that students could be led toward making generalizations through concept development and concept attainment strategies. • According to Taba, the best way to deal with increase in knowledge is to emphasize the "acquisition, understanding, and use of ideas and concepts rather than facts alone." 5 Madhavi_Dharankar_Inductive_Thinking_Model
  • 6. A Rationale for using Data Bases  Obtaining Background: Students need to read or research designated curricular topics. This includes going on field trips, watching videos, and listening to visitors to the classroom.  Planning: Students participate in brainstorming that gives them the opportunity to recall large amounts of data. Recalling data also serves to develop concepts.  Organizing: Students learn and apply organizational skills when they plan a data base.  Gathering Facts: Students extend their research skills as they fit facts into categories.  Using Tools: Students learn to create and use a data base to store data in an organized, efficient manner.  Questioning: Students learn to formulate questions that result in the extraction of information from the data base.  Hypothesizing: Students learn to state and test their own hypotheses.  Analyzing: Students quickly understand associations and relationships within the data base.  Evaluating: Students understand the difference between data and information. 6 Madhavi_Dharankar_Inductive_Thinking_Model
  • 7. Inductive Thinking Model: Syntax 1. Concept Formation • Enumeration and Listing • Grouping • Labeling, Categorization 1. Presentation of Learning Material • Identifying Critical Relationships • Exploring relationships • Making Inferences 1. Application of Principles • Predicting consequences, Explaining Unfamiliar Phenomena, Hypothesizing • Explaining and/ or supporting the Predictions and Hypotheses • Verifying the Predictions 7 Madhavi_Dharankar_Inductive_Thinking_Model
  • 8. Inductive Thinking Model: Social System Focus Conceptual Control Converting Conceptual Understanding to Skill It is Cooperative, but the teacher is the initiator and controller of activities 8 Madhavi_Dharankar_Inductive_Thinking_Model
  • 9. Inductive Thinking Model Principles of Reaction Teacher  Matches tasks to students’ level of cognitive activity  Determines students’ readiness Support System Students need raw data to organise and analyse Data Retrieval Chart (DRC) 9 Madhavi_Dharankar_Inductive_Thinking_Model
  • 10. Data Retrieval Chart (DRC) Main Points Concept Name Main Points Season Temperature Humidity Changes Changes in Nature in Human Life Summer Monsoon 10 Winter Madhavi_Dharankar_Inductive_Thinking_Model
  • 11. Types of Data Retrieval Charts Structured Semi-structured Unstructured Feature Specific concept/ Specific concept/ Specific concept/ principle is fixed principle is fixed in principle is not fixed in teacher’s mind teacher’s mind in teacher’s mind, only general area is decided In focus Content Both content and Process in focus, process content is contextual Formats, Teacher decides Both teacher and Students decide Components and students decide content of the chart Research Process Very little scope Some scope A large scope 11 Madhavi_Dharankar_Inductive_Thinking_Model
  • 12. Process Step Teacher Student Listing Teacher or students lists Tell me what you see List specific items items related to a subject Tell me what you know Grouping Students group the items Do any of these items Finds similarity as a basis for belong together? grouping items Labeling Students gives label for the What would you call these Verbalizes a label(s) that newly defined groups. groups you have formed? encompasses all items Students explain reason for Identifies and verbalizes their choices. Why would you group common characteristics of them together? items in a group Regrouping Students regroup items or Could some of these States different relationships subsume individual items or belong to more than one States additional different whole groups group? Can we put these relationships same items in different groups? Why would you group them that way? Evaluating Students synthesize the Can someone say in one Offers a summary statement or information by summarizing sentence something about Synthesizing the data and forming all these groups? generalizations 12 Madhavi_Dharankar_Inductive_Thinking_Model
  • 13. Inductive Thinking Model: Effects Instructional Effects Information, concepts, skills, hypothesis formation Concept formation processes Concepts and conceptual systems and their application Nurturant Effects Spirit of inquiry Awareness of the nature of knowledge Logical thinking 13 Madhavi_Dharankar_Inductive_Thinking_Model
  • 14. Inductive Thinking Model: Educational Implications  Utility at varying levels, subjects, content, processes, learning styles  Causes students To collect information and examine it closely To learn to manipulate the concepts  If used regularly, Increases students’ abilities to form concepts efficiently Increases the range of perceptions from which they can view information  In support of projects, researches  Model can go for a few hours/ days/ weeks/ months  Many projects in various subjects could be generated 14 Madhavi_Dharankar_Inductive_Thinking_Model
  • 15. Questions??? Discussions!!! 15 Madhavi_Dharankar_Inductive_Thinking_Model