teaching all ambareen siraj department of computer science [email protected]

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Teaching ALL Ambareen Siraj Department of Computer Science [email protected]

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Page 1: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Teaching ALLTeaching ALL

Ambareen Siraj

Department of Computer Science

[email protected]

Page 2: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Teaching ALLWhat does it mean?

Reaching out to ALL

Regardless of their group

Not be unconsciously biased in teaching Rather practice equitable teaching

Members of all groups share the same opportunities and the same constraints with full participation [adapted from 1]

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Page 3: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Why Diversity Matters

Diversity empowers

“The diverse group almost always outperforms the group of the best by a substantial margin.” [1]

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Page 4: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Problem [Adapted from 2]

Loss of individual potential among

members of different groups

Differential treatment of

members of different groups

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Actual differences in different groups’ roles,

jobs, behaviors

Assumptions about different groups’ roles,

jobs, behaviors

Assumptions Expectations Experience PerformanceSkill

Page 5: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Solution [Adapted from 2]

Increased individual achievement among members of different

groups

Equitable treatment of

members of different groups

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Reduced differences in different groups’

roles, jobs, behaviors

Reduction in stereotyped

assumptions about different groups’ roles,

jobs, behaviors

Assumptions Expectations Experience PerformanceSkill

Page 6: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Forms of Bias [2,3]

In Curricular Materials

Stereotyping Assigning traditional and rigid roles/attributes to groups

Invisibility

Underrepresenting certain groups

Imbalance/selectivity Presenting only a limited perspective

Linguistic bias Reflecting discriminatory words, lack of parallel terms

Unreality Avoiding controversial topics in the real world

Fragmentation/Isolation Separating debatable issues from main issues

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Page 7: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Forms of Bias [2,3]: Book Example of Invisibility and StereotypingWord problems in Math books involving males and females

MalesBuying model car and plane

Painting (2 times)

Walking (4 times)

Making map

Experimenting

Making paper chain

Losing weight

Riding bike

Running race

Swimming

Using calories (2 times)

Driving truck

Buying land (2 times)

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FemalesPlanting

Planning

Working for her father

Drinking

Working

Making paper chain

Gaining weight

Growing taller

Running race

Missing questions

Driving boys home

Page 8: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Forms of Bias [2]: Example of Fragmentation/IsolationContent in a Social Research book

TopicsThe Economy

New Space Explorations

Contributions of Contemporary Women

Domestic Politics

Foreign Policy Decisions

Scientific Achievements

Energy Crisis

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Page 9: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Forms of Bias [2]: Example of Imbalance/Selectivity

Women were given the vote as a reward for their work in World War I.

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Page 10: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Forms of Bias: Exercise

Jane uses the given recipe for making 1 batch of cookies that serves 6 boys. John buys the groceries according to the grocery list that Jane makes. Write a program which uses a given recipe, asks the user how many boys to serve, computes the amounts of items needed, and then prints the grocery list accordingly for John.

Is bias present?

What kind:

Revise:

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Page 11: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Creating Gender Balance through Gender Fair LanguageAvoid exclusionary forms: Examples

If a student turns in code before the due date, he will earn 10 bonus points for the assignment.

If you think you are the best man for the team leader job, please volunteer yourself.

The team leader would man the controls of project activities and delegate tasks to other members.

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Page 12: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Creating Gender Balance through Gender Fair LanguageChoose inclusionary alternatives: Examples

If a student turns in code before the due date, he or she will earn 10 bonus points for the assignment.

If you think you are the best person for the team leader job, please volunteer yourself.

The team leader would take charge of project activities and delegate tasks to other members.

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If a student turns in code before the due date, he will earn 10 bonus points for the assignment.

If you think you are the best man for the team leader job, please volunteer yourself.

The team leader would man the controls of project activities and delegate tasks to other members.

Page 13: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Gender Sensitive OR Not?

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  Y/N  Landlord   ProprietorAdulthood    Worker  Career woman   ProfessionalWaitress    ServerFaculty wife   Faculty spouseFlight attendant  

Freshman  First-year student

 Brotherhood   Community

Mother tongue  Native language

Ancestors    

Man made   Machine-made

Expert    

All men are created equal We are all created equal

Best man for the job Best person for the job

Boys will be boys Kids will be kids

Every man for himself Everyone for themselves

Gentleman’s agreementHonorable/informal agreement

Uncle Sam wants youUS Government wants you

Page 14: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Avoiding Gender Sensitive Language

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The ladies in the Parent Teacher Organization will meet the girls in the office. The women in the Parent Teacher Organization will meet

the women in the office.

Calculate how much money is spent by Mr. Conners and his wife at the end of the day. Calculate how much money is spent by Mr. and Mrs.

Conners at the end of the day. The lady doctor treated the patient.

The doctor treated the patient.

Page 15: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Exercise: Identify and Revise

Open the text file (provided with this assignment) runners.txt. The first line contains an integer indicating how many records are in the file. Each subsequent line contains information about an athlete. An athlete’s information consists of his name, distance raced, and time to finish (all separated by a space). A sample file is shown below.

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Douglas 6000 909.10

Tim 5000 872.32

Jacob 1000 223.22

Read the first line of the file.

Display the number of records found in the file.

Dynamically create an array of object (using pointer notation) of type Athlete (The number of element in the array should be equal to content of the first line of the file.)

Read the subsequent lines and initialize the athlete objects using the member function setValues. Each athlete should have his name, distance raced and the time to finish. Use ARRAY notation to traverse through the array of objects.

Display objects using the member function displayAthlete. Use POINTER notation to traverse through the array of objects.

Finally, calculate the winner and display his name starting with the text “And the winner is Mr.”.

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Page 16: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Stereotypes

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Page 17: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Avoiding Stereotypical Notion of Roles

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Research scientists often don’t have time for their wives and children.

Research scientists often don’t have time for their families.

The program should ask the nurse for her password before giving access to patient data. The program should ask the nurse for his or her

password before giving access to patient data.

Mothering a child is not an easy thing to do. Parenting a child is not an easy thing to do.

Page 18: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Gender Stereotypical ExpectationsResearch shows: Frequent Adjectives Used for Describing Good Students:

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MalesActive

Adventurous

Aggressive

Assertive

Curious

Energetic

Enterprising

Frank

Independent

Inventive

FemalesAppreciative

Calm

Conscientious

Considerate

Mannerly

Poised

Sensitive

Dependable

Efficient

Obliging

Mature

Thorough

Page 19: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Interaction Patterns [2,3]

Active Teaching Pattern: Teachers give males more positive, active teaching

attention

Evaluation Pattern: Teachers give males more verbal praise Teachers criticize males more for rules and regulations Teachers criticize females more for intellectual

inadequacy

Disciplinary Pattern:• Teachers reprimand males more (mostly for

inappropriate classroom behaviors)

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Research shows:

Page 20: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Praise and Criticism [2]

Research shows:

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0102030405060708090

100

Male

Female

For Intellectual Quality For Following Rules

PRAISE

For Intellectual Inadequacy For Failure to Obey Rules

CRITICISM

0

10

20

30

40

50

60

70

80

90

100

Male

Female

Page 21: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Wrong Way/Right Way

Giving minimal wait time for Q/A Extended wait time for Q/A Probing same group of enthusiastic students “Managing” enthusiastic hand raisers and probing

others/alternating reporters Let “shy” ones be shy Reaching out to the shy ones. Permitting “speaking/talking” over Managing situations where one speaks over another

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Page 22: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Intelligence can be Nurtured [5-8]

Research shows:

Environment plays a major role in development

Fixed mindset can hinder learning

Growth mindset can enhance learning

Prolonged and repeated deliberate practice

can improve performance

Overcoming stereotype vulnerability improves performance gaps between ethnic/gender

groups

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Page 23: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Gender Equitable Practices [2-4]

Hold high expectations of all students.

Value intellect rather than appearance.

Praise, encourage, and respond to contributions of females and males equally and fairly.

Establish collaborative groups composed of both males and females.

Establish rules for participation.

Rotate responsibilities.

Use examples of females in roles traditionally held by male and vice versa.

Establish peer support group.

Avoid and discourage comments or humor that demean or stereotype males or females.

Analyze curricular material for bias and supplement, if needed.

Diversify classroom resources.

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Page 24: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Computer Science (CS) Stereotypes

Computer Scientists are nerds.

CS students are geeks.

CS people have a computer gene.

CS material is hard to learn.

CS students have no social life.

CS environments are unexciting.

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Page 25: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Dealing with CS Stereotypes

Changing tools, techniques

Changing perceptions with role models

Changing environment or perception of environment ..• Environment with ambient belonging [9]

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Page 26: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Sense of Environment

26 http://depts.washington.edu/sibl/Publications/Debunking%20Stereotypes%20Brochure%20%28teacher%29.pdf

Page 27: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Teaching ALL

Being conscious about unconscious bias

Being cautious about interaction patterns

Debunking stereotypical notions

Being aware of cultural differences

Being equally sensible and fair to all

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Page 28: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

References

1. Lu Hong and Scott Page, Proceedings of the National Academy of Sciences, (2002)

2. Sadker, David., Sadker, Myra, 1982, Sex equity handbook for schools, Publisher: Longman.

3. Sadker, David, Ed. 1990, “Gender Equity in the Classroom”, Writer/Producer: Mary Makley

4. National Council of Teachers of English (NCTE), 2002. “Guidelines for Gender-Fair Use of Language”, http://www.ncte.org/positions/statements/genderfairuseoflang (Accessed July. 3, 2011)

5. Nisbett, Richard, 2009, Intelligence and How to Get It: Why Schools and Cultures Count, W. W. Norton Publishers.

6. Carol Dweck, 2007, Mindset: The New Psychology of Success, Ballantine Books,

7. Steele, C. M., & Aronson, J. (1995). Stereotype threat and the intellectual test performance of African-Americans. Journal of Personality and Social Psychology, 69(5), 797-811.

8. Ericsson, K. A. (2008). Attaining excellence through deliberate practice: Insights from the study of expert performance. In M. Ferrari (Ed.), The pursuit of excellence in education. Hillsdale, N.J.: Erlbaum.

9. Sapna Cheryan, Victoria C. Plaut, Paul G. Davies, Claude M. Steele. Ambient belonging: How stereotypical cues impact gender participation in computer science. Journal of Personality and Social Psychology 2009; 97(6): 1045-1060.

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Page 30: Teaching ALL Ambareen Siraj Department of Computer Science asiraj@tntech.edu

Questions

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