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How increasing equity in the science classroom can drive social change Cissy Ballen, PhD Department of Biology Teaching and Learning University of Minnesota, Twin Cities

How increasing equity in the science classroom can drive social … · 2020. 1. 1. · −0.6 −0.4 −0.2 0.0 0.2 0.4 0.6 2 1 0 1 grade anomalies instem d p er f o r e f f e chem130

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  • Howincreasingequityinthescienceclassroomcandrive

    socialchange

    CissyBallen,PhDDepartmentofBiologyTeachingandLearning

    UniversityofMinnesota,TwinCities

  • WilleyHall,UniversityofMinnesota

  • ●● ●

    ●●

    ●●

    ●●

    1.0 1.5 2.0 2.5 3.0 3.5 4.0

    1.0

    1.5

    2.0

    2.5

    3.0

    3.5

    4.0

    PHYSICS140(N=8,763 )UniversityofMichigan

    ●●

    ●●

    ●● ●●

    ●●

    ●●

    ●●

    GPAinotherclassesatMichigan

    WomenMen

    Koesteretal.,arXiv(2016)

    SignificantgenderedperformancedifferencesinlargeintroductorySTEMlecturecourses

    N=627,998

    GradeinSTEMclass

  • Ballen &Mason,Bioscience(2017)

    N=3,159

    Under-representedminority(URM)statuspredictsdifferencesinGPA

  • Womenparticipatelessthanexpectedbasedonenrollment.

    *P

  • studentdeficitmodelfocusesoninadequaciesofindividuals• assumessome

    studentsentercollegelacking theacademicresourcesnecessarytosucceedinanotherwisefairlearningenvironment.

    Cotner &Ballen,PLoS ONE(2018)

  • studentdeficitmodelfocusesoninadequaciesofindividuals• assumessome

    studentsentercollegelacking theacademicresourcesnecessarytosucceedinanotherwisefairlearningenvironment.

    coursedeficitmodelconsidersthenegativeimpactofenvironmentalconditionsonstudentperformance• assumesclassroom

    practices favor certaingroupsofstudentswhileincreasingperformancedisparities.

    Cotner &Ballen,PLoS ONE(2018)

  • studentdeficitmodel coursedeficitmodel

    changestudentbehaviors changeclassroommicroclimate

  • studentdeficitmodel coursedeficitmodel

    changestudentbehaviors changeclassroommicroclimate

  • Tooptimizelearningwhilemaintainingrigor,we

    employevidence-basedteaching

    (orscientificteaching)…approachtheevaluatonofteachingwiththecriticalthinking,rigor,creativiy,andspiritofexperimentationthatdefinesresearch...

    (Handelsmanetal.,2007)

  • Freemanetal.,PNAS(2014)

  • Freemanetal.,PNAS(2014)

  • Why doesActiveLearningPedagogy(ALP)improvelearningand

    performance?

  • CornellUniversityIthaca,NYIntroEvolutionaryBiology&Biodiversity

    Question(s):1)DoesALPdecreasetheperformancegapbetweennon-URMandURMstudents?2)DoesALPincreaseself-efficacy,anddoesthisinfluenceperformanceoutcomes?

    (N=421)

  • Active

    Traditional

    TraditionalActive

    non-URM

    URM

    URM non-URMURM non-URM

    Cour

    se g

    rade

    s

    KAI L

    earn

    ing

    ass

    essm

    ent g

    ains

    2

    3

    4

    5

    6

    7

    76

    78

    84

    80

    82

    86

    88

    90

    A

    URM non-URMURM non-URM

    B

    *100

    *

    Ballen etal.,CBE-LSE(2017)

    Activelearningclosestheachievementgap

  • Active

    Traditional

    TraditionalActive

    non-URM

    URM

    URM non-URMURM non-URM

    Cour

    se g

    rade

    s

    KAI L

    earn

    ing

    ass

    essm

    ent g

    ains

    2

    3

    4

    5

    6

    7

    76

    78

    84

    80

    82

    86

    88

    90

    A

    URM non-URMURM non-URM

    B

    *100

    *

    Activelearningclosestheachievementgapacrosstwometricsofperformance

    Ballen etal.,CBE-LSE(2017)

  • Students’ science self-efficacy

    URM STUDENTS

    Xb sem

    ester

    = 0.

    401*

    b gend

    er =

    0.465

    * b = 3.547*

    b semes

    ter =

    0.347

    ***

    Students’ science self-efficacy

    Grades

    NON-URM STUDENTS

    Gender + Semester

    GradesGender + Semester

    Self-efficacydrivesperformancegainsforURMstudents

    Ballen etal.,CBE-LSE(2017)

  • Example1:Evidence-basedteachingpractices

    Students’ science self-efficacy

    URM STUDENTS

    Xb sem

    ester

    = 0.

    401*

    b gend

    er =

    0.465

    * b = 3.547*

    b semes

    ter =

    0.347

    ***

    Students’ science self-efficacy

    Grades

    NON-URM STUDENTS

    Gender + Semester

    GradesGender + Semester

    ForURMstudents,theincreaseinscienceself-efficacymediatedthepositiveeffectofactivelearningpedagogyontwometricsof

    studentperformance

  • Whatelsemightexplainthebenefitsofactivelearningpedagogy?

  • Someideas…

    •Multipleopportunitiestoengagewithatopicthroughsmallgroupwork(Springetal.1999)• Increasedclassroomstructure(Haak etal.2011)•Positiveimpactonaspectsofclassroomclimate(Ballen etal.2017;Eddy&Hogan2014)• ‘Hardertohide’(personalobs.)•Mixedteachingstrategies(Ruiz-Primoetal.2011)•Mixedmethodsofassessment

  • Someideas…

    •Multipleopportunitiestoengagewithatopicthroughsmallgroupwork(Springetal.1999)• Increasedclassroomstructure(Haak etal.2011)•Positiveimpactonaspectsofclassroomclimate(Ballen etal.2017;Eddy&Hogan2014)• ‘Hardertohide’(personalobs.)•Mixedteachingstrategies(Ruiz-Primoetal.2011)•Mixedmethodsofassessment

  • Exams:youdon’tliketaking‘em,wedon’tlikemaking‘em,

    gradstudentsdon’tlikegrading‘em

    Assessmentsinhighereducation

  • Moneta-Koehleretal.,PLoS ONE(2017)

    GREdoesnotpredictmostmeasuresofsuccessinbiomedicalgraduateschool

    YRSTO

    DEFEN

    SE

    GRESCORE

    #FIRSTAU

    THORPU

    BS

    #PR

    ESEN

    TATIONS

    N=683

  • −0.6 −0.4 −0.2 0.0 0.2 0.4 0.6

    −0.2

    −0.1

    0.0

    0.1

    Grade Anomalies in STEM

    Gen

    dere

    dPe

    rform

    ance

    Diff

    eren

    ce

    CHEM 130

    C HEMMA2T1H0115

    MATH 116

    CHEM 215

    MATH 216

    ENGR 101

    ENGR 100

    BIOLOGY 17 2 PHYSICS 140

    STATS 250EECS 183

    BIOLOGY 305 EECS 203

    CHEM 230BBIOIOLOLOGGYY172125

    MATH 105

    PHYSICS 135

    BIOLCHEM 415

    EECS 281PHYSICS 240

    EECMSAT3H70425

    MECHENG 211

    PHYSICS 235EECS 280

    EARTH 108

    MCDB 310 MATH215

    TCHNCLCM 300

    BIOLOGY 118

    ENGR 110

    EA RTHEA1R0T3H 114

    BIOLCHEM 212

    ME CHMEANTGSC2I4E0220

    CHEM 125

    BIOLOGY 173

    PHASYTSRICOS110461

    CHEM 216

    PHYSICS 241

    CHEM 211BIOLOGY 226

    PHPYHSYISCISCS231636EARTH 100

    LECLABREQ−LEC

    Average Grade Anomaly

    Grading Trends in Introductory STEM courses. Color differentiates lectures and labs; stars represent core required STEM lecture courses.

    Gradesawardedtostudentsinclass,comparedtothosetheyreceiveinalltheirotherclasses

    N=627,998

    -Malebias-Negativeanomaly

    -Malebias-Positiveanomaly

    -Femalebias-Positiveanomaly

    -Femalebias-Negativeanomaly

    Koesteretal.,arXiv (2016)

  • −0.6 −0.4 −0.2 0.0 0.2 0.4 0.6

    −0.2

    −0.1

    0.0

    0.1

    Grade Anomalies in STEM

    Gen

    dere

    dPe

    rform

    ance

    Diff

    eren

    ce

    CHEM 130

    C HEMMA2T1H0115

    MATH 116

    CHEM 215

    MATH 216

    ENGR 101

    ENGR 100

    BIOLOGY 17 2 PHYSICS 140

    STATS 250EECS 183

    BIOLOGY 305 EECS 203

    CHEM 230BBIOIOLOLOGGYY172125

    MATH 105

    PHYSICS 135

    BIOLCHEM 415

    EECS 281PHYSICS 240

    EECMSAT3H70425

    MECHENG 211

    PHYSICS 235EECS 280

    EARTH 108

    MCDB 310 MATH215

    TCHNCLCM 300

    BIOLOGY 118

    ENGR 110

    EA RTHEA1R0T3H 114

    BIOLCHEM 212

    ME CHMEANTGSC2I4E0220

    CHEM 125

    BIOLOGY 173

    PHASYTSRICOS110461

    CHEM 216

    PHYSICS 241

    CHEM 211BIOLOGY 226

    PHPYHSYISCISCS231636EARTH 100

    LECLABREQ−LEC

    Average Grade Anomaly

    Grading Trends in Introductory STEM courses. Color differentiates lectures and labs; stars represent core required STEM lecture courses.

    Noneusedtimedexaminationsasimportantevaluativeelements.

    Possibleselectiongoingoninthesesecondyearcourses

    Koesteretal.,arXiv (2016)

  • Theanxiety-performancelink

    Individual

    Environmental (Social/Contextual)

    ecnamrofreP htaMyteixnA htaM

    • Cognitive: Working memory, strategy use, attention

    • Students’ perceived classroom environment

    • Affective /physiological: Physiological responses associated with negative emotional processing• Motivational: Approach or avoidance style

    • Teachers’ math anxiety and classroom activities• Parental math anxiety, support and expectations

    Current Opinion in Behavioral Sciences

    Multiple individual and environmental factors account for the reciprocal relation between math anxiety and math performance.

    INDIVIDUAL

    ENVIRONMENTALSocial/contextual

    ANXIETYPERFORMANCE

    ChangandBeilock,Curr Opin Behav Sci (2016)

  • Settingthescene…

    CollegeBiologicalSciences

    Dept.ofBiology

    Teaching&Learning

  • ACT Exams

  • Whatfactors,otherthanincomingacademicpreparation,influencestudentperformanceonexams?

  • Full Mediation Model

    Partial Mediation Model

    Performance

    Test Anxiety

    Interest

    ACT

  • Full Mediation Model

    Partial Mediation Model

    Performance

    Test Anxiety

    Interest

    ACT

  • Full Mediation Model

    Partial Mediation Model

    Performance

    Test Anxiety

    Interest

    ACT

  • Inoursampleofwomen,incomingpreparation(ACT)didnotpredictinterestoranxiety,butbothimpactedexamperformance

    Test Anxiety

    Interest

    ACTExam

    Performance

    e

    e

    e

    Total effect = Direct Effect : b = 0.551***

    A. Female students

    b = 0.159*(0.068)

    B. Male students e

    e

    (0.064)

    Total effect = Direct Effect : b = 0.414***(0.104)

    e

    Test Anxiety

    Interest

    ACTExam

    Performance

    b = -0.042(0.078)

    b = -0.218**(0.068)

    b = -0.113(0.079)

    b = 0.175(0.110)

    b = 0.022(0.096)

    b = -0.297*(0.116)

    b = 0.059(0.101)

    Test Anxiety

    Interest

    ACTNon-exam

    Performance

    e

    e

    e

    Total effect = Direct Effect : b = 0.159***

    b = -0.029(0.056)

    e

    e

    (0.056)

    Total effect = Direct Effect : b = 0.312**(0.112)

    e

    Test Anxiety

    Interest

    ACTNon-exam

    Performance

    b = -0.042(0.078)

    b = -0.127*(0.059)

    b = -0.113(0.079)

    b = 0.175(0.110)

    b = 0.005(0.104)

    b = -0.297*(0.116)

    b = 0.087(0.109)

    Ballen etal.,PLoS ONE(2017)

  • Inoursampleofmen,incomingpreparation(ACT)predictedanxiety,butneitheranxietynorinterestimpactedexamperformance

    Test Anxiety

    Interest

    ACTExam

    Performance

    e

    e

    e

    Total effect = Direct Effect : b = 0.551***

    A. Female students

    b = 0.159*(0.068)

    B. Male students e

    e

    (0.064)

    Total effect = Direct Effect : b = 0.414***(0.104)

    e

    Test Anxiety

    Interest

    ACTExam

    Performance

    b = -0.042(0.078)

    b = -0.218**(0.068)

    b = -0.113(0.079)

    b = 0.175(0.110)

    b = 0.022(0.096)

    b = -0.297*(0.116)

    b = 0.059(0.101)

    Test Anxiety

    Interest

    ACTNon-exam

    Performance

    e

    e

    e

    Total effect = Direct Effect : b = 0.159***

    b = -0.029(0.056)

    e

    e

    (0.056)

    Total effect = Direct Effect : b = 0.312**(0.112)

    e

    Test Anxiety

    Interest

    ACTNon-exam

    Performance

    b = -0.042(0.078)

    b = -0.127*(0.059)

    b = -0.113(0.079)

    b = 0.175(0.110)

    b = 0.005(0.104)

    b = -0.297*(0.116)

    b = 0.087(0.109)

    Ballen etal.,PLoS ONE(2017)

  • Basedonthesedata,wemayexpectthefollowingtoreducegendergaps:

    • Designcurriculatopromotestudents’

    interests• Minimizerisk/threat

    duringexams

    Test Anxiety

    Interest

    ACTExam

    Performance

    e

    e

    e

    Total effect = Direct Effect : b = 0.551***

    A. Female students

    b = 0.159*(0.068)

    B. Male students e

    e

    (0.064)

    Total effect = Direct Effect : b = 0.414***(0.104)

    e

    Test Anxiety

    Interest

    ACTExam

    Performance

    b = -0.042(0.078)

    b = -0.218**(0.068)

    b = -0.113(0.079)

    b = 0.175(0.110)

    b = 0.022(0.096)

    b = -0.297*(0.116)

    b = 0.059(0.101)

    Test Anxiety

    Interest

    ACTNon-exam

    Performance

    e

    e

    e

    Total effect = Direct Effect : b = 0.159***

    b = -0.029(0.056)

    e

    e

    (0.056)

    Total effect = Direct Effect : b = 0.312**(0.112)

    e

    Test Anxiety

    Interest

    ACTNon-exam

    Performance

    b = -0.042(0.078)

    b = -0.127*(0.059)

    b = -0.113(0.079)

    b = 0.175(0.110)

    b = 0.005(0.104)

    b = -0.297*(0.116)

    b = 0.087(0.109)

  • Howcanyouminimizethesenseofriskinanexam

    environment?

  • Someideas…• Alignexamquestionswithhomeworkquestions• Affirmationexercisesbeforeanexam(e.g.,Cohenetal.2006,2009;Martensetal.2006)• Distributemoreexams• Distributenoexams•Offerstudentstheabilitytodropanexam• Lowertheamountthatexamsaccountforintotalcoursegrade• Lowerthesenseofriskbyallowingre-takeexams

  • Someideas…• Alignexamquestionswithhomeworkquestions• Affirmationexercisesbeforeanexam(e.g.,Cohenetal.2006,2009;Martensetal.2006)• Distributemoreexams• Distributenoexams•Offerstudentstheabilitytodropanexam• Lowertheamountthatexamsaccountforintotalcoursegrade• Lowerthesenseofriskbyallowingre-takeexams

  • Dogradingschemescausegapsinperformance?

  • Course AcademiclevelMajorornonmajors

    Instructoridentification

    Studentcohorts

    Semester1(%exam)

    Semester2(%exam)

    Directionofexam%overtime

    BIOL1003 1st year Nonmajors Samebothsemesters Different Sp2016(28) Sp2017(44) Increase

    BIOL2002/2003 2

    nd year Majors Samebothsemesters Same Sp2016(22) Fa2016(42) Increase

    BIOL3409 3rd year Majors Samebothsemesters Different Sp2016(50) Fa2016(30) Decrease

    Summaryofthreecasestudies

  • 0.5

    -0.5

    0.0

    Low stakes High stakes Low stakes High stakes Low stakes High stakes

    a. Biology 1003 b. Biology 3409 c. Biology 2002/2003

    0.25

    -0.25z-s

    core

    0.5

    -0.5

    0.0

    Low stakes High stakes Low stakes High stakes Low stakes High stakes

    a. Biology 1003 b. Biology 3409 c. Biology 2002/2003

    0.25

    -0.25z-s

    core

    0.5

    -0.5

    0.0

    Low stakes High stakes Low stakes High stakes Low stakes High stakes

    a. Biology 1003 b. Biology 3409 c. Biology 2002/2003

    0.25

    -0.25z-s

    core Men

    Women

    Cotner &Ballen,PLoS ONE(2018)

  • HighstakesexamsresultinsignificantgendergapsLowstakesexamsdonot

  • studentdeficitmodelfocusesoninadequaciesofindividuals

    coursedeficitmodelconsidersthenegativeimpactofenvironmentalconditionsonstudentperformance

  • Canloweringtheperceptionofriskreducegapsinperformance

    withinonesemester?

    Staytuned!

  • Increasingequityinthescienceclassroomcandrivesocialchangebecause:

    Gradesguideself-assessmentsShapestudentsperceptionsofabilitySelectionofcoursework,major,career

  • Acknowledgements– thankyouforyourtime!

    ActiveLearningKellyZamudioCarlWiemanShima SalehiPeterLepageJeremySearleBrianLazzaroAmyMcCuneBobReed

    StatisticaladviceFrancoiseVermeylenTestanxietySehoya CotnerShima SalehiJonathanAndicoecheaEmmaGoldbergWillHarcombeMarkDecker

    InstitutionalResearchandPlanningMarinClarkberg

    UndergraduateResearchersStevenWallaceChristineLianOliviaTreudeuMaiVangMorganBurkhartDahsol Lee