Overarching question: What should schools teach? n What’s the problem? u Not a problem of mastering repetitive, routine procedures u Weakness centers on.

Slides:



Advertisements
Similar presentations
Metacognition Taking control of Learning.
Advertisements

An Introduction to Test Construction
How People Learn: Brain, Mind, Experience and School John D. Bransford, Ann L. Brown, and Rodney R. Cocking, editors.
Economic Education and How People Learn Scott Simkins, Interim Director Academy for Teaching and Learning (ATL) North Carolina A&T State University Acknowledgements:
“The Big Three” Professional Development Goals
Vision: Every child in every district receives the instruction that they need and deserve…every day. Oregon Response to Intervention Vision: Every child.
1 Welcome to Module 1 Principles of Mathematics Instruction.
Presentation Outline Experts and Novices Learning and Transfer Children and Learning Common Themes.
Marzano Training May 24, 2013.
Explaining Contrasting Solution Methods Supports Problem-Solving Flexibility and Transfer Bethany Rittle-Johnson Vanderbilt University Jon Star Michigan.
What Matters? Why do the arts matter?. Why do the arts in education matter, especially?
Explicit Direct Instruction Critical Elements. Teaching Grade Level Content  The higher the grade the greater the disparity  Test Scores go up when.
Modeling for Expert Learning Dr. Mok, Y.F.. Many university students do not study Their decoding is inefficient, making comprehension weak & difficult.
Contrasting Examples in Mathematics Lessons Support Flexible and Transferable Knowledge Bethany Rittle-Johnson Vanderbilt University Jon Star Michigan.
Teach Equation Solving Kathy Hawes Discussion presented by Jessica Dow and Janice O’Donnell.
DME Collaborative for Active Learning in Medicine 1 Designing Independent Learning Assignments (Formerly known as “homework”) Janet M. Riddle, MD Director.
Metacognition Helping students to self-regulate. Definitions  Metacognition - literally “beyond knowing”, knowing what one knows and doesn’t know - promoting.
Meaningful Learning in an Information Age
PROBLEM SOLVING What is problem solving? Problem solving is a different way to develop skills of thinking and reasoning.
DEVELOPING ACADEMIC LANGUAGE AND TEACHING LEARNING STRATEGIES Anna Uhl Chamot Jill Robbins George Washington University.
Metacognition Seana DeCrosta Jennifer McCallum EDUS 515 Dr. P. Duncan.
Using Situational awareness and decision making
TEACHING STUDENTS TO READ INFORMATIONAL TEXT Reference: Reference: What Research Has To Say About Reading Instruction, by Alan E. Farstrup (2002)
Metacognition Seana DeCrosta Jennifer McCallum EDUS 515 Dr. P. Duncan.
VaNTH and The Legacy Cycle: Bioengineering and Problem Based Instruction Cherie McCollough Graduate Research Assistant – VaNTH ERC University of Texas.
1. Think of a childhood fairytale. 2. Write a question about the fairytale as though you had assigned it as a reading in your class.
Learning & Teaching with Technology Claire O’Malley School of Psychology.
Course Design Adam Berman Nydia MacGregor. Today’s goals and agenda Identify best practices of designing a course Understand how students learn Understand.
Learning and Transfer Shamsi Moussavi Ravi Bhalla.
Reasoning Abilities Slide #1 김 민 경 Reasoning Abilities David F. Lohman Psychological & Quantitative Foundations College of Education University.
1 USC Information Sciences Institute Jihie Kim Yolanda Gil Jim Blythe Intelligent Systems Division USC/Information Sciences Institute
Vision: Every child in every district receives the instruction that they need and deserve…every day. Oregon Response to Intervention Vision: Every child.
Contributions of Contextual Teaching to Improved Student Learning Richard L. Lynch, PI University of Georgia (706)
Higher-Level Cognitive Processes
EDU 385 EDUCATION ASSESSMENT IN THE CLASSROOM
Prompts to Self-Explain Why examples are (in-)correct Focus on Procedures 58% of explanations were procedure- based Self-explanation is thought to facilitate.
Teaching Learning Strategies and Academic Language
© 2009 McGraw-Hill Higher Education. All rights reserved. CHAPTER 8 The Information-Processing Approach.
For too many years, teachers have prepared lesson plans according to their own preferred way of learning whilst ignoring the fact that all children process.
Literacy in the Content Areas - Outcomes Reflect on Call for Change follow up tasks. Identify text features. Identify the readability statistics for a.
+ College and Career Readiness. December present 46 of 50 states adopt Common Core Common Core State Standards.
Supporting the Development of Academic Language Jill Robbins Second Language Learning Consultants, Washington, DC.
Chapter 7: Cognitive Processes and Academic Skills.
Understanding Alaska Measures of Progress Results: Reports 1 ASA Fall Meeting 9/25/2015 Alaska Department of Education & Early Development Margaret MacKinnon,
Transfer Like a Champ! By Michelle Brazeal. Transfer Training Why do we teach?
Adding Quantitative Reasoning to Your Course Some Ideas and Places to Begin.
Learning Goals and Learning Scales
Family Presentation Hamilton Public Schools February 24,
Development of Expertise. Expertise We are very good (perhaps even expert) at many things: - driving - reading - writing - talking What are some other.
How people learn different ways to think about learning.
Jeanne Ormrod Eighth Edition © 2014, 2011, 2008, 2006, 2003 Pearson Education, Inc. All rights reserved. Educational Psychology Developing Learners.
Building Academic Language Sesson 2 10/29/15. Where have we been? On 10/1 we looked at: Data on an academic language gap Tiered Vocabulary Role of student.
The Information Processing Approach Chapter 8 By Eva Tantri Mahastri
Scaffolding Cognitive Coaching Reciprocal Teaching Think-Alouds.
Structuring Learning. Agenda Structuring learning. Structuring lab sessions. Engagement. Critical Thinking. Ideas for structuring learning. Activity.
The Common Core August 14, 2012 Unpacking. Goals and Objectives of this Training Participants will:  Become more familiar with the Common Core Standards.
Program Design and Implementation – Problem Solving as a Process for Teaching Mathematics - Exploring relationships between participants’ teaching and.
WHAT TO EXPECT, WHEN EXPECTING TESTING A general overview of high school standardized tests.
Using Cognitive Science To Inform Instructional Design
ED 260-Educational Psychology
Math Position Justification
Lesson Structure From September we will be using Maths No Problem text books. Text books have been developed based on excellent mastery practise across.
How we teach mathematics The mastery approach
Selecting & Developing Cases and Clinical Problems
DEVELOPING ACADEMIC LANGUAGE AND TEACHING LEARNING STRATEGIES
Metacognition for revision
Unpacking the Common Core August 14, 2012.
Let’s think about how we think
Lesson Structure  As with last year, we will be using Maths No Problem text books. Text books have been  developed based on excellent mastery practise.
Presentation transcript:

Overarching question: What should schools teach? n What’s the problem? u Not a problem of mastering repetitive, routine procedures u Weakness centers on inference, problem- solving, comprehension; critical thinking skills n Breuer: Making intelligent novices u Develop expertise u Develop expertise at becoming an expert n What is expert problem-solving?

GO USA!!! Why patriotic back-patting shows low standards: n A Nation at Risk (NCEE 1983): u “Unilateral educational disarmament” u 1986 NAEP results: F Math: multi-step problems w/ variables; exponents & roots; basic functions & coordinate systems passed by 6% of 17-year-olds F Science: how data support a theory; exper. design passed by 41% of 17-year-olds F Reading: comprehend, summarize, elaborate moderately difficult text: passed by 42% of 17-year-olds

Can Problem-Solving be Taught? Problem of transfer… n Learning X vs. Learning to learn 1 Can general problem solving skills be learned? 2 Can metacognition be taught/fostered? F Metacognition in problem solving...

1. No: Problem-solving can’t be taught n Content knowledge is critical: u Johnson-Laird IF-THEN problem (Bruer pp ): F In math/logic, novices don’t transfer what they learn (e.g., conditional reasoning). u Adult experts vs. novices solving physics problems: F Categories: “Newton’s 2nd law” vs. “Springs” u Child dinosaur experts: F Infer properties of new dinosaurs, logical connectives, more comparison

Categorizing physics problems...

Child dinosaur experts... n Infer diet of new dinosaurs: u Experts used specific physical feature (i.e., teeth); novices cited visible features n Logical connectives in reasoning: “…if they saw a giant meateater, they would duck their heads…so it couldn’t take a bite out of them, or else they’d get the big prickles in them” n Comparisons: n Experts do better inductive inference!

2. Yes: Problem-solving can be taught n Bloom & Broder (1950): Good students failed exams at U. Chicago: u Focus on problem-solving strategies: F Remedial student solved problem, F then read transcripts of model answers, F then induced principles: “What should I do if…?” F training sessions u Training improved scores (vs. control students) u But did it transfer to other disciplines, etc? n Science strategies (covered in Module 3)

So how do we improve problem solving for all students? n Is lots of specific content info necessary? u Experts make different discrimination; conceptualize problems differently (not distracted by irrelevant info!) u Siegler balance scale: Make children aware of relevant features F Might be induced from lots of experience, but more efficient to point it out! [But: doesn’t always work] n What about metacognition? n Can general skills be induced from expertise in another domain?

Metacognition and high-level problem-solving n Metacognitive practices/standards: u Standards of performance (self-assessment) u Knowing when & how to learn more (Wineburg) u Can these be taught? We don’t know

…continued n Naïve reflection; errors prep for “deep” learning/transfer: u Schwartz & Moore: Compare distribution cases F [2,4,6,8,10] vs. [4,5,6,7,8] F [2,4,6,8,10] vs. [2,2,10,10] u Schwartz & Bransford: Learning about memory F Summarize  lecturevs. F Compare  comparevs. F Compare  lecture F Transfer correct predictions: ≈ 20% vs. 45%!

Creating Intelligent Novices n Critical role of metacognition u Self-tests; self-evaluation u Comprehension monitoring n Learn by discussion (include “expert”) u Finding out more using others’ expertise F Let students become “local” mini-expert n Focus on critical information to encode; Focus on why (role of theories!) u Balance scale u Teaching force vectors: ThinkerTools

Example: ThinkerTools for teaching force vectors n Force vectors errors (just counting!) continue after 1 semester of college physics

ThinkerTools continued... c

Schools for Thought summary n Weak methods in schools n Problem of transfer… n What makes experts experts? u Expose students to experts’ thinking; foci; strategies u Model expert problem solving; make p.s. explicit n Make students aware of relevant info (useof multimedia) u Good error feedback

…continued n Problems: u What’s missing? THEORIES! u “to get ahead, get a theory!” (Karmiloff-Smith): Knowing “why’ vs. knowing “that” u Metacognition n Examples exist of this approach in classrooms, but no unified large scale effort u Teacher expertise in content & metacognition u Resources to pose realistic problems u Time for content, theory, & reflection