How to educate low-income students most efficiently? A retrospective of 27 years at the World Bank

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A retrospective of 27 years at the World Bank Helen Abadzi World Bank [email protected] October 24, 2013

Transcript of How to educate low-income students most efficiently? A retrospective of 27 years at the World Bank

A retrospective of 27 years at the World Bank

Helen AbadziWorld [email protected] 24, 2013

Life After the World Bank !http://24vesti.mk/za-zhivotot-15-10-2013

An exciting future for education World Bank: Global practices, interest in science and

solutions

United Nations and donor community:

Post 2015 agenda: 126 million children still out of school

How to train students’ minds (brains) most efficiently?

My 27-year search for answers to fit these challenges

Clueless in Washington in 1987…in 1985 – “I need a friend in DC! Come along and interview!”

Stavros Apergis “Double take” on a CV with 9 languages

Douglas Keare in LAC needed an evaluation specialist

Nov. 1985 interviews

January 1987 was hired from Greece

as a long term consultant

I was 35 years old

26.5 years at a glance – work in LAC 1987

WBI (EDI) 1988

MENA 1989

South Asia In 1991 (regularized)

OED (IEG) 1995

GPE December 2009

Parallel life: 17 years as a Staff Association delegate and counselor

Fun time with languages and history To do the job well I studied more languages

Total of 19 at least at intermediate level

I published several historical articles

see them in academia.edu

Origins of core sectoral concepts

Bank should finance primary education George Psacharopoulos, on returns to education in 1985

Human capital around 1988

“President Barber Conable Women in development” – 1989

Education for All !! 1990

“Assessments” - Marlaine Lockheed

Wolfensohn 1995: Poverty alleviation Cross-cutting themes, “integrators”

Rise of generalists

The 1980s-1990s education staff were technical specialists

Actual educators: superintendents, teachers Economists Architects Sociologists no psychologist

UNESCO Cooperative program – experts to about 1989 But lacked a scientific framework, quantitative skills

They were replaced by generalists “Education sector specialist” formalized in 1998

Anyone be an education specialist Premium for political instincts Earlier debates were replaced by keeping discretion

Main issues I tried to solve through the years for low-income countries Why does adult literacy fail?

Why do students fail to read for years?

How to convert financing to instructional time?

How to get sustainable textbooks?

Memory research: the missing conceptual framework

WBI 1989 wanted to know – How do people learn?

I wrote “Cognitive psychology in the seminar room”

Daily monitoring of 5 internet websites since 1996

Pieces fill puzzle on how to optimize learning

Interacted with scientists, hired some

More than 30 articles, papers, books

I took classroom videosbought $700 Sony slimcam in 1993,

did many more in IEG starting 2002

The mystery failures of adult literacyWhy can’t adults become fluent readers? 1992 - task manager appraising adult ed. in

Bangladesh• Do we all become dyslexics for new scripts?

Project canceled, cofinancing to ADB

Literacy projects folded worldwide

Looking for solutions for 20 years

In 2000-2002 in IEG got grant, experimented

Burkina Faso: 1-1.5 words per second needed

Neuroimaging research on the problem in 2012

Best learner vs. Infrequent reader,who learned in childhoodBangladesh literacy program 1994

11/24/2013 Helen Abadzi author, © World Bank 13

Bangladesh 1993-94

Why can’t low-income students learn reading? “Audits” by the Internal Evaluation Group

Alain Barbu: don’t just diagnose, get solutions

contacted reading scientists (2005 - thanks to Bob)

2004: A message to the EDUFAM distribution list

Luis Crouch responded - EGRA resulted

Bank controversy: words per minute? We are a bank!

Then reading became a global priority

How to convert financing to teaching time? Need to measure and define it

assess the “memorability of various activities”

Located Jane Stallings who had retired

Bob, Benoit Millot and I got a Dutch grant

Barbara Bruns continued the work in LAC

Instructional time now a standard measure

Remedial actions still needed

Relevant lessons from cognitive science to low-income students We can all learn anything more efficiently if we abide

by the rules of memory

Rules more rigid for less educated people

Speed and automaticity above all !

To perform skills, we must act in milliseconds

The biggest obstacles in Bank projects are “low level”, neurological:

Chunks too big to be ‘digested’ without help

So why is there little progress on learning?Donor agency staff can be an obstacle Our reference point is the people we know

We prescribe for them, not for the poor !

perfomance

Instructional time, materials, feedback, analyses, nutrition

We and our children

The very poor

To improve quality in all countries and levelsComponents, activities for donor investments

Fluency in the prerequisite skills of every educational stage

Remediation of gaps if prerequisite skills were not learned

Efficient classroom time use for teaching, practice, feedback

Sustainable textbooks (of some sort) for all to take home

Teacher (instructor) training for content, methods, and fluency in execution

Supervision based on the above

Why not?

Consider the biggest obstacle of all

Sobering research findingsCitations available

Sketches from internet sites - thanks

Evolutionary psychology basics Different survival pressures resulted in certain

behavioral differences Men had to create functional teams for hunting

Women had to survive in polygamous situations

We seem to have inherited response probabilities

Work environments should be gender-free but are not

“Evolutionary” decisions are instant, emotional People do not understand why they feel certain ways

We all gender-stereotype every minute! We perceive people’s gender (and race) in milliseconds

We make unconscious differential decisions

We look for certain patterns in men and women

We reject those who don’t fit the expected cultural pattern

Expected behaviors change over the years

But still gender-related patterns emerge

Men: likeability vs. competence2 unrelated dimensions

>--------------------------------------------------<

Sweet

S.O.B

>-------------------------------------------------<

ineffective• gets job done

Women: competence and popularity mixed together

To be considered competent, women must first be liked!

Your next employee or colleague

>--------------------------------------------------< Great teamplayer!

Not popular enough to succeed

Female authority appears harsh

For men, attention to competence, strategy

For women, attention to personality

“She acts like a general” !

Why does this disturb us?

An angry man gets his wayan angry woman gets the highway Implication: Successful women must be very calm

Example: Angela Merkel

But is a rare profile !

Women are expected to have better social skills than men Penalized if they fall short

Confidence is interpreted as lack of social skills

Confident, straight-talking women

Not hired!

Disagreeableness premiums He is an SOB but he is effective

we will promote him

24% premium

She makes people upset but we decided to keep her for a while

5% premium

Men are considered more crediblehave ‘executive presence’ The less we know about a topic the more we depend on

a person’s reputation

Trustworthy appearance matters more than actual information about credibility (Rezlescu et al. 2013)

Women often may lack the look associated with intellectual authority

Controversial statements made by women are rejected

Furthermore,men’s voices are more memorableMale voices: thunder of authority

Men can show passion and aggression

Cynicism, grimaces, sarcasm permitted

Women must stay calm, speak in flat voice

Women’s arguments easily overpowered just by nonverbal cues

Women’s messages may be forgotten

Women often are not heard Did Sheila just say something?

Just running her mouth; but John has a worthwhile idea

Woman against woman:Millennia of polygamy andthe poisonous “queen bee” effect Limited patience with other women

Controlling other women for conformity

Tendency to remove potential competitors

relational aggression

“catfights” and negative business outcomes

Men settle women’s fights

Men and women treat their same gender very differently

After a keg of beer, we agreed to disagree

Men may state positions, debate, disagree, compete. make up

YOU know how she got that promotion!

Women may keep quiet, then exclude, spread rumors

Female scientists or politicians defined by personality traits

Rosalind FranklinDiscovered double helix

Julia GuillardPrime MinisterAustralia

Confident, straight-talking women may get eliminated by both genders!Several such top-tier women eliminated in the World Bank

You should not lecture!You won’t be allowed!

World Bank studies:Anonymized staff evaluations could be “gendered” Gender salary gap 10-25%

Catalyst Study - 1998

150 staff evaluations (OPEs) – gender could be discerned

In my 17 years of Staff Association counseling I saw:

39 year old men ok for GH, but women of the same age are immature

Struggle of a 50-year old woman whose GH promotion was canceled last minute

woman dogged by a GH female team leader who was intent on canceling her appearances, stopping publications

Performance evaluation trends:Men prepared for future leadershipWomen scrutinized for personality faults

He is promising, we will mentor him

It’s up to her to attain our standards

Gender perceptions may eliminate the top female leaders Not selected: “You are too direct” !

Female World Bank manager:

“I fired her because she was too proud” !

Women and men who make it and stay at the workplace may not be comparable

The most decisive women have been eliminated !

Selective pruning of women may result in different profilesMen may be hired for technical savvy

Women may be hired for social competence

Making things look right

Differential promotions maintain gender stereotypes

World Bank job candidates, consultants

Those selected as regular staff may be selected for lower stature

Outcome:Innovative ideas promoted by women may be doomed Evolutionary traits overwhelm the workplace

Sidelined innovators get no chance to shape policies

May get limited visibility, no funding

End up less confident and thus less convincing

Outstanding intellectual property may be reallocated to others!

Example: Rosalyn Franklin, discoverer of double helix

Are younger women doing better?Mitigating the evolutionary patterns? Millennials: More savvy in negotiating the various obstacles But… High-pitched female voices

Would you trust them to carry on your message?

Instead, young men learn to sound serious and consequential

So does the gender-credibility gap close? Or does it move to new ground?

Innovation cannot happen with ½ the innovators hobbled Particularly in fields that have many women

Education post 2015 absolutely needs cognitive science Research and dissemination must go on

Learning efficiency issues must become better known

But donor agencies, education have many women Higher possibility of backbiting, “catfights”

Disregard of female innovation

Exclusion of female mavericks

Hiring experts of social propriety vis-a-vis real solutions

Unwarranted credence toward men’s statements

To educate the poor should more men be hired??

Greater awareness may help navigate obstacles Hopefully current managers are enlightened

can through gender complexities

Implement the right ideas

Speed up needed innovations for the education of the poor

Great thanks to the managers who believed in my contributions Douglas Keare

Timothy King

Martin Karcher

Grant Sinclair

Roger Slade

Bob Prouty

And my husband, Theodore

Think about all this..