data to inform and assess curricular innovations · curricular innovations marco molinaro, ucdavis|...
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Data to Inform and Assess Curricular Innovations
MARCO MOLINARO, UC DAVIS | BRIAN SATO & RAY VADNAIS, UC IRVINE
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Essential Questions & Data Sources
§Provides a set of questions that can be used at multiple levels to assess progress
§Identifies data sources and analytical tools to help answer these questions
§Recommends ways to address challenges to institutional and multi-institutional evaluation
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Our Changing Student DemographicsFall 2017 Continuing and New Student Demographics
Ong
oing
Stu
dent
sN
ew S
tude
nts
international
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Example Work Focused Campus-wide
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*CA residents only
GPA Averages in All first year Courses & Opportunity – One AY*
AFg
0=NotFG FG
2.65
2.70
2.75
2.80
2.85
2.90
2.95
3.00
3.05
3.10
3.15
3.20
3.25UCDOverallGpa
1,691
2,103
SIsUrm
NotURM URM
2.65
2.70
2.75
2.80
2.85
2.90
2.95
3.00
3.05
3.10
3.15
3.20
3.25
UCDOverallGpa
1,126
2,595
FG Status URM Status
Gap with URM or FGAppears similar in GPA points
TRADITIONAL APPROACHGP
ASC
ALE
GPA
SCAL
E
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URM_FG_LIcombinations
NotTriple Triple FGonly LIonly URMonly FG&LI URM&FG URM&LI other
2.65
2.70
2.75
2.80
2.85
2.90
2.95
3.00
3.05
3.10
3.15
3.20
3.25
UCDOverallGpa
311
other
68
URM&LI
228
URM&FG
483
FG&LI
233
URMonly205
LIonly
362
FGonly
550
Triple
1,400
NotTriple
IntersectF15entrySp16GPA
*CA residents with valid zipcode only
GPA Averages in All first year Courses & Opportunity – AY 2015-16*Averages vs Box Plots
URM_FG_LIcombinations
NotTriple Triple FGonly LIonly URMonly FG&LI URM&FG URM&LI other
0.8
1.0
1.2
1.4
1.6
1.8
2.0
2.2
2.4
2.6
2.8
3.0
3.2
3.4
3.6
3.8
4.0
TUcdOverallGpa
IntersectF15entrySp16GPAboxplot
NOTE
SCA
LE C
HANG
E
GPA
SCAL
E
DIFF
EREN
T G
PA S
CALE
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What Might CauseThese Differences?
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Regional Opportunities Index (ROI)http://interact.regionalchange.ucdavis.edu/roi/about.html
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Regional Opportunities Index (ROI)
http://interact.regionalchange.ucdavis.edu/roi/webmap/webmap.html
PEOPLE PLACE
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55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
Avg.ZPeopleMean
other
URM&LI
URM&FGFG&LI
URMonly
LIonly
FGonly
Triple
NotTriple
Peoplemean
only
37.5
38.0
38.5
39.0
39.5
40.0
40.5
41.0
41.5
42.0
42.5Avg.ZPlaceMean
other
URM&LI
URM&FG
FG&LI
URMonly
LIonly
FGonly
Triple
NotTriple
Placemean
onlyURM_FG_LIcombinations
NotTriple Triple FGonly LIonly URMonly FG&LI URM&FG URM&LI other
2.65
2.70
2.75
2.80
2.85
2.90
2.95
3.00
3.05
3.10
3.15
3.20
3.25
UCDOverallGpa
311
other
68
URM&LI
228
URM&FG
483
FG&LI
233
URMonly205
LIonly
362
FGonly
550
Triple
1,400
NotTriple
IntersectF15entrySp16GPA
GPA Averages in All first year Courses & Opportunity – One AY*
*CA residents only
GPA
SCAL
E
PLAC
E SC
ALE
PEO
PLE
SCAL
E
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Exploring How We Can Approach Change
Cycle of Progress
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Awareness Understanding
ActionReflection
Fostering a Cycle of Progress
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Cycle of Progress
Awareness Understanding
ActionReflection
One Person’s Action can spread awareness and understanding
Conscious effort to focus on Faculty, Professional Staff and Administrators to impact Student & System outcomes
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Cycle of Progress
Awareness Understanding
ActionReflection
One Person’s Action can spread awareness and understanding, a group expands
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Cycle of Progress
Awareness Understanding
ActionReflection
Awareness Understanding
ActionReflection
One Person’s Action can spread awareness and understanding, a group expands, the system lingers
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Now to UC Irvine
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Now to UC Davis
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Tools & Processes to Support Faculty
Faculty DepartmentalLeadership
College/UnivLeadership
Know Your Students Department Diagnostics Dean’s Undergrad Metrics
Self-ServiceCommunity
Targeted Support
Self-ServiceRoutine Analyses
Deep Dives
OngoingFocused Support
Systemic Studies (Intersectionality, WLD, …)
Custom Analyses
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Example Work Focused at Department/College
Level
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Retention in a Major – Multiple freshmen cohorts
Female bothMale nFG
Male FG
major
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Freshmen Student Migrations – Multi-year starting cohorts
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DFW and GPA Gap Variables
Gender
First GenerationLow IncomeURMURM/FG/LI
ESLInternational
Gender
SES Opportunity
Language
OVERALL
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Gender Socio-Economic Opportunity Language1st Gen Low Inc URM URM/FG/LI Int’l ESLGender
All Variable Gaps (DFW, GPA) for a College
AWARENESS ONLY
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Making Dashboard ActionableApproaches to foster greater understanding?
INITIAL IDEAS Absolute vs weighted impactRaw vs adjusted for prior characteristics Specialness of first year courses Course orderCourse sizeGrading practices – norm vs criterion referencedInstructional variability
UNDERSTANDING?
And then we need to move on to ACTION and REFLECTION
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Example Work Focused at Course/Instructor
Level
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Multidimensional Instructional Development for Achievement and Success (MIDAS) UCD Inclusive Excellence project funded in part by HHMI – Facciotti/Molinaro Co-PIs
Major findings related to emergent research on: low-income/SES, first generation, URM & transfer student success
Academic preparedness, motivation, and persistence
Implications for pedagogy
Instructional & Support Community
BibliographyTeaching Strategies
Kno
w Y
our S
tude
nts
Das
hboa
rd
Teaching Portfolio
AWARENESSUNDERSTANDINGACTIONREFLECTION
Faculty
Instructional Exploration& Data Gathering
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Know Your Students– FG and Repeaters
Course taught by HHMI Project Co-PI Prof. Marc Facciotti
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Know Your Students– ESL Example
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Know Your Students– First Generation Just in Time Teaching
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JiTT (Just in Time Teaching)Promoting First Generation Student Academic Success
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JiTT (Just in Time Teaching)Academic Success, Teaching Strategies, Social/Community Integration
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Connecting to the Instructional Support CommunityFaculty, campus professionals, campus services
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Know Your Students– UCD Experience and Majors
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Know Your Students– Concurrent/Prior Courses and Gaps
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Know Your Students– TAs, Grade Distributions
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Know Your StudentsFuture Course Performance (past courses only – not predictions)
Next Course
Junior Level course
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Enhancing Know Your Students dataNew sources for greater understanding
Data Sources- DART, COPUS, LOPUS, Clicker use, LMS use- Surveys - student check-in, time on task- Teaching practices, inclusivity- Bloom’s analysis of learning objectives- Student Course Evaluations (NLP)- Use of campus tutoring resources
Gradebook analysis for gaps (ESL) and targeted supports
Instructional Exploration& Data Gathering
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Enhance Individuals to System Effectiveness Towards Students
Awareness Understanding
ActionReflection
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Undergraduate Education Initiatives
List of all People Involved in this Work – Expanding constantly
BIOLOGYSusan KeenKen BurtisMark GoldmanAnne BrittMitchell SingerMichelle IgoJoel LedfordMarina CrowderNatalia CaporaleMona ManfredBIS2 TAsErin Easlon
INST. RESEARCHErika JacksonJason StewartEric RothgarnAnnamalai NatarajanKamal LemsefferBob Loessberg-ZahlGillian ButlerHelen PaikJessica Loudermilk
PsychologySteve LuckVictoria CrossCynthia Pickett
REGISTRARBrad HardingThom PonElias Lopez
ADMISSIONSDona Owfook
IET/ATSDavid LevinAndy Jones
PHYSICSMax ChertokAndreas AlbrechtMarusa BradacDavid WebbRandy HarrisWendell Potter
CHEMISTRYSusan KauzlarichNeil SchoreAnneliese FrantzDelmar LarsenCarlito LebrillaOzcan GulacarJulia ChamberlainTing GuoBryan EnderleA. ToupadakisMatt AugustineDean TantilloAndrew FisherXi ChenPeter KellyGreg Allen
CEEMarco MolinaroKem SaichaieMatt SteinwachsStephanie PulfordMeryl MotikaPatricia TurnerCecilia GomezKatie MartinezMonica EsquedaKavi TanKatie MartinezBarbara MillsCandice BoulwareCara TheisenXinyi HouRaymund AlksynisChris PagliaruloCatherine UvarovAlberto Guzman-AlvarezErin BeckerAlisa LeeQiwei LiHaomiao Meng
MATH & STATSJesus De-LoeraTim LewisKerry Wong
ENGINEERINGMark Facciotti (bio)Jean VanDer GheynstJP DelaplanqueJames SchaafMike HillDavid SpightJason MooreJennifer Choi
ECONOMICSScott CarrellJanine WilsonDerek StimelLester Lusher
EDUCATIONCindy PassmoreMichal KurlaenderDerek Dockter
AGRICULTUREDiane UlmanSue EbelerDave RizzoLily BynesTracy Grissom
SPECIAL THANKS to:Provost Hexter
+ Ideas and approaches from colleagues in:AAU, AAC&U, APLU, BVA, ALMAP, TEA, TRESTLE
UECarolyn ThomasHelen FrasierBrett McFarlane
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§What data and information are most important? Is it available? What additional information would you find valuable?
§What strategies and approaches would you use to facilitate productive conversations within your department about these types of data?
Table Top Exercise WORKSHEET