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Mary Pat Wenderoth Department of Biology University of Washington Learning Taxonomies What are they? Why use them? Scholars 2010

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Mary Pat Wenderoth Department of Biology University of Washington. Learning Taxonomies What are they? Why use them?. Scholars 2010. Research Design. OLD Learning design. Your students. Student learning. Post- Biology Scholars 2010 Your research question. NEW Learning design. - PowerPoint PPT Presentation

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Page 1: Mary  Pat Wenderoth Department of Biology University of Washington

Mary Pat WenderothDepartment of Biology

University of Washington

Learning Taxonomies

What are they?

Why use them?

Scholars 2010

Page 2: Mary  Pat Wenderoth Department of Biology University of Washington

Research Research DesignDesign

OLD Learning designOLD Learning designYour students

Your students

Student learningStudent learning

NEW Learning designNEW Learning designYour students

Your students

Student learningStudent learning

Post- Biology Scholars 2010Your research question

Page 3: Mary  Pat Wenderoth Department of Biology University of Washington

Research Research DesignDesign

OLD Learning designOLD Learning designYour students

Your students

Student learningStudent learning

NEW Learning designNEW Learning designYour students

Your students

Student learningStudent learning

SAME ???

Page 4: Mary  Pat Wenderoth Department of Biology University of Washington

Research Design

Control for

◦ 1. Students---are they “the same” academically? Compare

entering GPA, SAT other academic indicators

Pre-test

Page 5: Mary  Pat Wenderoth Department of Biology University of Washington

Research Research DesignDesign

OLD Learning designOLD Learning designYour students

Your students

Student learningStudent learning

NEW Learning designNEW Learning designYour students

Your students

Student learningStudent learning

Design or instructor ?

Page 6: Mary  Pat Wenderoth Department of Biology University of Washington

Research DesignControl for

◦ 1. Students--are they “the same” academically? Compare GPA, SAT, other academic indicators Pre-test

2. Instructor• you teach both sections of course• control for years of experience• teaching philosophy• monitor teaching style

Page 7: Mary  Pat Wenderoth Department of Biology University of Washington

Research Research DesignDesign

OLD Learning designOLD Learning designYour students

Your students

Student learningStudent learning

NEW Learning designNEW Learning designYour students

Your students

Student learningStudent learning

How to assess?

Page 8: Mary  Pat Wenderoth Department of Biology University of Washington

Research DesignControl for

◦ 1. Students--are they “the same” academically? Compare GPA, SAT, other academic indicators Pre-test

2. Instructor• you teach both sections of course• control for years of experience• teaching philosophy• monitor teaching style

3. Assessment• use the same test• use isomorphic questions• use the same Bloom or SOLO level of questions

Page 9: Mary  Pat Wenderoth Department of Biology University of Washington

Major Learning Taxonomies

2- Bloom’s Taxonomy of Learning Domainscognitive (knowledge)affective (attitudes)psychomotor (skills)

Bloom & Krathwohl 1956

1- SOLO, Structure of Observed Learning OutcomesBiggs & Collis 1982

Page 10: Mary  Pat Wenderoth Department of Biology University of Washington

TheThe SOLO model consists of 5 levels of SOLO model consists of 5 levels of understandingunderstanding

• Prestructural – the student acquires bits of unconnected information that have no organisation and make no sense.

• Unistructural – students make simple and obvious connections between pieces of information

• Multistructural – a number of connections are made, but not the meta-connections between them

• Relational – the students sees the significance of how the various pieces of information relate to one another

• Extended abstract – at this level students can make connections beyond the scope of the problem or question, to generalise or transfer learning into a new situation

Page 11: Mary  Pat Wenderoth Department of Biology University of Washington

To answer the question students need the knowledge or use of only one piece of given information, fact, or idea, that they can get directly from the problem.

Unistructural questionsUnistructural questions

Quality QuestioningUsing the SOLO Taxonomy

solo-taxonomy-1204838403126960-5.ppt

student Response

Facts

Page 12: Mary  Pat Wenderoth Department of Biology University of Washington

Students need to know or use more than one piece of given information, fact, or idea, to answer the question, but do not integrate the ideas.

This is fundamentally an unsorted, unorganised list.

Multistructural questionsMultistructural questions

Response

Facts

student

Page 13: Mary  Pat Wenderoth Department of Biology University of Washington

Relational questionsRelational questions

These questions require students to integrate more than one piece of given knowledge, information, fact, or idea. At least two separate ideas are required that, working together, will solve the problem.

Response

Facts

student

Page 14: Mary  Pat Wenderoth Department of Biology University of Washington

Extended abstract questionsExtended abstract questions

These questions involve a higher level of abstraction. The items require the student to go beyond the given information, knowledge, information, or ideas and to deduce a more general rule or proof that applies to all cases.

Response

Facts

student

Page 15: Mary  Pat Wenderoth Department of Biology University of Washington

A C

D E Prestructural = D

Unistructural = C

Multistructural = B

Relational = E

Extended abstract = A

B

Page 16: Mary  Pat Wenderoth Department of Biology University of Washington

A

CD

E Prestructural = D

Unistructural = C

Multistructural = B

Relational = E

Extended abstract = F

B

Page 17: Mary  Pat Wenderoth Department of Biology University of Washington

Evaluation- critique

Synthesis - create

Analysis- compare and contrast

Application-- solve

Comprehension-- define

Knowledge-- facts

Bloom, B.S., Krathwohl, D.R., and Masia, B.B. (1956)

Page 18: Mary  Pat Wenderoth Department of Biology University of Washington

NEW ORIGINAL

Create Evaluation- critique

Evaluate Synthesis - create

Analyze Analysis- compare and contrast

Apply Application-- solve

Understand Comprehension-- define

Recall Knowledge-- facts

Bloom, B.S., Krathwohl, D.R., and Masia, B.B. (1956)

Page 19: Mary  Pat Wenderoth Department of Biology University of Washington

Revised Bloom’s Revised Bloom’s 20012001Recall

Understand

Apply Analyze Evaluate

Create

Factual knowledge

Conceptual knowledge

Procedural knowledge

Metacognitive knowledge

Anderson, L. W., & Krathwohl, D. R. (2001)

Page 20: Mary  Pat Wenderoth Department of Biology University of Washington

Evaluation- critique

Synthesis - create

Analysis- compare and contrast

Application-- solve

Comprehension-Understand-- define

Knowledge-Recall-- facts

Bloom, B.S., Krathwohl, D.R., and Masia, B.B. (1956)

Page 21: Mary  Pat Wenderoth Department of Biology University of Washington

Knowledge--Recall Memorize, name, recognize, label, list,

locate, order, repeat, reproduce, state, select.

Comprehend--Understand Define, describe, translate, give example,

restate.

Apply Predict, calculate, solve, use, demonstrate,

dramatize, sketch.

Bloom wordsBloom words

Page 22: Mary  Pat Wenderoth Department of Biology University of Washington

Analyze Compare and contrast, infer, differentiate,

discriminate, distinguish, question, test.

Synthesis/create Create, assemble, construct, design, develop,

organize, propose, write.

Evaluate Critique, appraise, assess, defend, judge,

rate, value.

Bloom wordsBloom words

Page 23: Mary  Pat Wenderoth Department of Biology University of Washington

Crowe, Dirks & Wenderoth 2008. CBE- Life Science Education 7:368.

Page 24: Mary  Pat Wenderoth Department of Biology University of Washington

Bloom’s level GRAPHING

Knowledge Identify the parts of graphs and recognize different types of graphs (e.g., identify the X axis, identify a histogram)

Comprehension Describe the data represented in a simple graph

Application Draw a graph based on a given set of data; predict outcomes based on data presented in graph

Analysis Read and interpret a complex graph having multiple variables or treatments and explain biological implications of data

Synthesis Create a graphical representation of a given biological process or concept

Evaluation Assess the relative effectiveness of different graphical representations of the same data or biological concept

Crowe, Dirks & Wenderoth 2008. CBE- Life Science Education 7:368.

Page 25: Mary  Pat Wenderoth Department of Biology University of Washington

Crowe, Dirks & Wenderoth 2008. CBE- Life Science Education 7:368.

Page 26: Mary  Pat Wenderoth Department of Biology University of Washington
Page 27: Mary  Pat Wenderoth Department of Biology University of Washington

Why Bloom a test?

Page 28: Mary  Pat Wenderoth Department of Biology University of Washington

Bloom’s distribution of exam questions

Align your teaching and testing

Page 29: Mary  Pat Wenderoth Department of Biology University of Washington

3. Assessment• use the same test• use isomorphic questions• use the same Bloom or SOLO level of questions

NEW Learning designNEW Learning designYour students

Your students

Student learningStudent learning

OLD Learning designOLD Learning designYour students

Your students

Student learningStudent learning

Page 30: Mary  Pat Wenderoth Department of Biology University of Washington
Page 31: Mary  Pat Wenderoth Department of Biology University of Washington

Bloom Index = Bloom total/exam total

= 300 / 100 = 3

300 = Bloom Total Exam Total = 100

Page 32: Mary  Pat Wenderoth Department of Biology University of Washington

1. Bloom Index of exam

2. Level of difficulty of questioneasymoderatehard

Page 33: Mary  Pat Wenderoth Department of Biology University of Washington

How to Bloom a test?

Ask a colleagueBuy them coffeeHave them “Bloom” your

exam

Page 34: Mary  Pat Wenderoth Department of Biology University of Washington

Physiology: Cardiac Output (MP Wenderoth)

Cell Biology: Nuclear transport (Alison Crowe)

Immunology: Virology (Clarissa Dirks)

Crowe, Dirks & Wenderoth 2008. CBE- Life Science Education 7:368.

Page 35: Mary  Pat Wenderoth Department of Biology University of Washington

Physiology: cardiac outputKnowledge-Recall

Which two variables determine cardiac output for an animal?

Comprehension-UnderstandingDefine cardiac output and why it is significant.

ApplicationLance Armstrong has a normal resting cardiac output 6L/min yet his resting heart rate is only 40 beats/min. What is his stroke volume?

Analysis

Compared to a normal resting male of the same height and weight, Lance Armstrong’s stroke volume is greatly increased. Provide a physiological explanation for a large stroke volume.

Crowe, Dirks & Wenderoth 2008. CBE- Life Science Education 7:368.

Page 36: Mary  Pat Wenderoth Department of Biology University of Washington

EvaluationIf an enlarged heart was observed on a CT scan of patient, how would you determine if this enlarged heart was pathological or not?

SynthesisCreate a summary sheet that is a pictorial depiction/ flow diagram of how changes in cardiac output influence mean arterial blood pressure.

Crowe, Dirks & Wenderoth 2008. CBE- Life Science Education 7:368.

Page 37: Mary  Pat Wenderoth Department of Biology University of Washington

Bloom, B.S., Krathwohl, D.R., and Masia, B.B. (1956)

KnowledgeKnowledge

ComprehensionComprehension

ApplicationApplication

AnalysisAnalysis SynthesisSynthesis EvaluationEvaluation

Higher Order

Lower Order

Page 38: Mary  Pat Wenderoth Department of Biology University of Washington

SOLO Bloom

• Prestructural Knowledge/Recall

• Unistructural Comprehension

• Multistructural Application

• Relational Analysis

• Extended abstract Synthesis/Evaluation

Lower Order

Higher Order

Page 39: Mary  Pat Wenderoth Department of Biology University of Washington

Anderson, L. W., & Krathwohl, D. R. (Eds.). (2001). A taxonomy for learning, teaching and assessing: A revision of Bloom's Taxonomy of educational objectives: Complete edition, New York : Longman.

Anderson , L.W., & Sosniak, L.A. (Eds.). (1994). Bloom's taxonomy: a forty-year retrospective. Ninety-third yearbook of the National Society for the Study of Education, Pt.2 . , Chicago , IL . , University of Chicago Press.

Bloom, Benjamin S. & David R. Krathwohl. (1956). Taxonomy of educational objectives: The classification of educational goals, by a committee of college and university examiners. Handbook 1: Cognitive domain. New York , Longmans.

Crowe, A., Dirks,C, & Wenderoth, M.P. (2008) Bloomin’ Biology CBE- Life Science Education 7:368

http://www.coun.uvic.ca/learning/exams/blooms-taxonomy.html http://www.polyu.edu.hk/assessment/arc/links/reference_g_blooms.htm http://www.kurwongbss.eq.edu.au/thinking/Bloom/blooms.htm

References- Bloom’sReferences- Bloom’s

Page 40: Mary  Pat Wenderoth Department of Biology University of Washington

http://www.learningandteaching.info/learning/solo.htm http://www.slideshare.net/jocelynam/solo-taxonomy http://en.wikipedia.org/wiki/Structure_of_Observed_Learning_Outcome

Biggs FILM http://www.daimi.au.dk/~brabrand/short-film/

References- SOLOReferences- SOLO

Page 41: Mary  Pat Wenderoth Department of Biology University of Washington

National Research Council 1999

1. Address student’s preconceptions.

Three major findings:

2. Build BOTH a deep foundation of factual knowledge & strong conceptual framework.3. Enhance student’s ability to monitor their learning.

(metacognition)

Page 42: Mary  Pat Wenderoth Department of Biology University of Washington

“To achieve these ambitious goals, we will need much more emphasis on both science education and the “science of education”.

Science Jan 2, 2009