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Howincreasingequityinthescienceclassroomcandrive
socialchange
CissyBallen,PhDDepartmentofBiologyTeachingandLearning
UniversityofMinnesota,TwinCities
WilleyHall,UniversityofMinnesota
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PHYSICS140(N=8,763 )UniversityofMichigan
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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