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MovingfromSurvivingtoThriving:TransformingtheFirstYearSTEM
ExperienceUniversityofRichmondIntegrated
ScienceExperience
“ThrivingQuotient”• EngagedLearning– ameasureofthedegreetowhichstudentsare
meaningfullyprocessingwhathappensinclass,energizedbywhattheyarelearning,andcontinuingtothinkaboutitoutsideofclass
• AcademicDetermination– ameasureofstudents’goal-directedness,investmentofeffort,andregulationoftheirownlearninganduseoftime
• PositivePerspective– ameasureofstudents’optimism,andexplanatorystyle
• SocialConnectedness– ameasureofstudents’involvementinhealthyrelationshipsandsocialsupportnetworks,whetheronoroffcampus
• DiverseCitizenship– ameasureofstudents’desiretomakeadifferenceinthecommunityaroundthem,aswellastheiropennesstodifferencesinothers
KeyAspects• FacultyAwareness–Vision&Change–HighImpactPractices–UnderservedstudentsinSTEM– Implicitbias,stereotypethreat,fixedvs.growthmindset
KeyAspects• FacultyDevelopment– Workshopsonactivepedagogy,assessment,metacognition,mindset,andstereotypethreat
– Workingwithfacultyatotherinstitutionsthroughmeetings,workshops,etc.
– Workingwithcolleaguestoplancurriculaandprogramsasateam
– Alumniandstudentfocusgroups
KeyAspectsforThriving• Developinginquiryskills– Theme-basedcourseinquiryintorealworldproblems(e.g.,challengesofachangingclimate,antibioticresistance,HIVepidemic)
– Authenticcourse-embeddedresearchexperiences
Grahametal.,(2013) Science,341
KeyAspectsforThriving• Integrated&InterdisciplinaryLearning– Weavingresearchproblemthroughmultipledisciplines
– Synthesisofknowledgeandskillsdevelopedtoaddresstheproblem
– Increaseinterdisciplinaryanddisciplinaryunderstanding
– Communicationofsciencetovarietyofaudiences
KeyAspectsforThriving
• EngagedPedagogies– Activelearning– “Highcoursestructure”withfrequentopportunitiesforassessment
– Scaffolded studentdevelopment
Grahametal.,(2013) Science,341
KeyAspectsforThriving
• Cohort-basedmodel– LearningCommunity– Communitybuildingactivitiesandcivicengagement
– Strongacademicsupportsystem(e.g.,tutors,advisors,mentoring)
Grahametal.,(2013)Science,341
KeyAspectsforThriving
• DevelopCognitiveandMetacognitiveskills– IntroducestudentstoBloom’staxonomy–Workonstudyskillsandlearningstrategies
STEMGraduates2010-2013
Year %Traditionallyunderrepresented of STEMGrads(URM)
% Traditionallyunderrepresented ofAllGrads(URM)
2010 6% 10%
2011 4% 11%
2012 9% 14%
2013 7% 16%
ArestudentswhoaretraditionallyunderrepresentedinSTEMinterestedin
STEMatRichmond?Date %ofSTEMInterestedwho
arefrom groupstraditionallyunderrepresentedinSTEM
%ofSTEMinterestedwhoareBlack/AfricanAmericanorHispanic
2012 28% 16%
2013 35% 19%
2014 29% 22%
• ~1/3ofallSTEMinterestedstudentsarefromgroups traditionallyunderrepresentedinSTEM
• InspiteofthefactthatBlack/AfricanAmericanandHispanicstudentsmakeup>15%oftheSTEMinterested,atgraduation, lessthan10%ofourSTEMgraduatesarefromthesegroupseachyear.
HHMI:CallforInclusion,Persistence,andCommunity
• “HHMIgrantshaveenabledcollegesanduniversitiestoinvolvelargenumbersofunderrepresentedminoritystudentsinstudentresearchandotheractivities...However,theirimpressivepotentialstillhasnotbeenrealizedasasubstantialincreaseinthenumberofstudentsfromunderrepresentedgroupswhogoontocareersinscience.”
URISEPre-firstYearSummerBridge:MorningProgram
• Mathandscienceskillbuilding(e.g.,microscopy,solutionmaking,dimensionalanalysis,statistics,DNAanalysis)throughdiscovery-basedforensicsproject
• CommunityandteambuildingthroughpartnershipwithCommonGround(diversityandinclusionprogram)
• Communityengagementandsocialjusticecomponentwithpartners(e.g.,URpolice,InnocenceProject)
• Academicskillsassessmentworkshops• Sciencewritingandcommunicationworkshop• Courseselectionandacademicadvising• Careerdevelopment(e.g.,alumniSTEMcareerlunches,
visitUNC,DukeorUVAgraduateandmedicalprograms)
URISEPre-firstYearSummerBridge:AfternoonProgram
• Mentoredprojectsinfacultyresearchlaboratories
• Studentsmatchedwithsupportivefaculty/peerswithsimilarinterests
• Developmentofresearchskills• ConnectionswithSTEMpeers
URISEPre-firstYearSummerBridge:WeekendProgram
• StudentslivetogetherindormswithSTEMpost-bac astheirResidentAssistant
• Saturdayexcursionstolocaldestinations(e.g.,VirginiaBeach,WashingtonD.C)
• Groupdinners,movies,speakers
URISEStudentDemographics• 55studentshavecompletedURISEoverthepast3years(15-20students/year):– 22men,33women– 15FirstGenerationCollegeStudents– 21PellEligibleStudents– 21AfricanAmerican/BlackStudents– 14HispanicStudents– 3NativeAmerican/Hawaiian
URISE
University of Richmond
e Integrated Science Exp e rienc
1 12 U RI S E _ - postcard - 1 . i n dd 12 /11/12 4 : 38 PM
SomeURISEOutcomes• 100%ofURISEstudentshaveconductedsummer
researchaftertheirfirstyear;66%arecontinuingresearchinsummeraftertheirsecondyear.Othersareininternships(e.g.,medical,publichealth).
• 100%ofURISEstudentsenrolledinadditionalSTEMcoursesaftercompletingIQSorSMART.
• 93%ofURISEstudentsfromthe1st twocohortshavedeclaredSTEMmajors.
• URISEstudentsreportstrongselfefficacy,feelingmorepreparedforcollegeclassesandresearch,andasenseofcommunity.
Science,Math,andResearchTraining(SMART)
• 2unitsclass(extendedtimeformath),weeklylabandworkshopinfallandspringof1st year=4U
• Countsasfirstcourseinbiology,chemistryandcalculusIandII• Designedforstudentswhodidnothaveopportunitiesinhigh
schoolforadvancedmath(e.g.,APcalculus)andwhoareinterestedininterdisciplinaryandintegratedlearningwithdesiretopursuebiology,chemistryorbiochemistrymajors.
• FocusonstudentstraditionallyunderrepresentedinSTEM• Highlystructured(pre-class,in-classandpost-classengagement)
SMARTCourseGoals• Demonstrateabilitytouseauthenticresearchskillsandapplyappropriatequantitativereasoning
• Integrateandapplyknowledgefrombiology,chemistry,andmathandcommunicateacrossdisciplines
• Expressincreasedconfidenceinscienceandmath• AbilitytounderstandHOWtheylearnandknowavarietyofproblem-solvingstrategies
• UnderstandandapplymaterialequivalenttoBio199,Chem 141,Calc IandCalc IIandmasteryofasubsetofcoreconceptsfromeachcourse.
HIV:MechanismsandSolutionsAfryeaHenderson,EdProvencher,LenaDang,MariaFlorentin
UniversityofRichmond,VA23173
IntroductionTheHumanImmunodeficiencyVirus(HIV)isapandemicthataffects39millionpeople.Approximately90%ofthesepeopleliveindevelopingcountriessuchasWestAfricawheremedicalcareisnotreadilyavailable.Ontheotherhand,therehavebeencaseswhen,evenaftermultipleexposurestoHIV,anindividualremainedHIVnegative.ThiswasdeterminedtobetheresultofamutationknownasCCR5-Δ32.ThismutationevolvedinourancestorsinnorthernEuropecenturiesago.Inorder tocombatHIV,itisvitaltofirstunderstandthevirusanditsmechanismsofinfection.Aftergaininganunderstandingofthesemechanisms,itbecomespossibletopursuesolutionstothispandemic.
DeterminingSteve’sViralLoadwithqRT-PCR
ManytestscanbeconductedtofindthepresenceofHIV,suchastheELISAtest.Other experimentssuchasRealTimePCRillustratesviralloadinapatientwhoisHIVpositive.UnderstandingthehostspecificityofViralPhageInfectivityandantibodies’abilitytoneutralizephagecanpotentiallyhelpfinddifferentmechanismsofHIVprevention.StandardmethodsofHIV-1treatmentcanbecomeproblematicwhendrugssuchasLopinavirandRitonavirareusedtodecreaseHIVProteasecleavagebecausethesedrugscouldalsoinhibittheabilityofPepsintocleaveproteinsinthestomach.Sofar,onlyonemutation,CCR5Δ32,hasbeendiscoveredthatleadstoresistancetoHIV.
Dr.AprilHill, Dr.CarolParish,Dr.FernandoGomez,JoseRoma,EricaModeste,Dr. JasmineCrenshaw,
(-)Control
Steve
Runner#1
Runner#2
Runner#2
(after6 mon th s)
(+)Control
● BythetimeSteve tested positiveforHIV,hewasalreadyexperiencingfull-blownAIDS.Duetopoorprognosis,itpromptedfriendsthatmayhavecomeincontactwiththevirusthroughSteve toseek testing.Runner#1tested negative, howeverwhenRunner#2beganexhibitingsymptomsafter6monthshisresultschangedfromnegativetopostive.
Ste ve ’scalcu late d viral load
Figure2.A.Quantitationgraphillustrates thefluorescencevisibility vs. cyclenumberofeachstandard throughout thePCRamplificationprocess.Lineabovex-axisis the thresholdindicator for fluorescence.B. I llustration ofstandardcurveofknowndilutions ofHIVEnvgene.C.Formulaused forcalculatingefficiency,E,thepercentagethatthestandardcurveindicates theamountofproduct increasingwitheachcycle.CalculatedEequated to1.01,which is considered reliable.D.TypicalcourseofHIVinfectionwithpointplotting Steve’scalculatedviral loadof113.279Env copies/mL.
Conclusion
Acknowledgements
ViralInvestigation
Experiment1
Experiment2Question: Arecombinationsofmonoclonalantibodiesmoreeffectiveatneutralizingphagesthansinglemonoclonalantibodiesalone?
Figure3.Phage attachingtobacteria.
Figure4.A.Structureof T4phage beforecontraction.B.Structureof T4aftercontraction.C.Illustrationof thelongtailf iber.
Question: Are bacteriophages such as T4 specific to E.coli Strain B or can it infect other species of bacteria?
Results: T4 is specific to E.coli Strain B.
Results: OurresultsindicatethatsinglemonoclonalantibodiesdolittletoinhibitT4,however,another groupwithinourlabfoundthataspecificcombinationofthemonoclonalantibodiesmayeffectivelyneutralizetheT4phage.
CanPepsin beinhibited byHIVProteaseinhibitors?
EmergenceofCCR5-Δ32MutationA. B.
D.
Figure7.A.gp120bindingtoaWildtypeCCR5.B.32bpdeletionthatconstitutestheCCR5Δ32mutation,renderingthatbindingsiteunusablebyHIVwhenattemptingtoinfectCD4+cell.C.ThePoissonDistributionisaformulausedtocalculatetheprobabilityofaneventoccurringinaf ixedintervalof timewithaknownmutationrate.Itwasestimatedthat686.977yearshadoccurredsincethedevelopmentof theCCR5Δ32mutation.D.ResultsfromamplificationofCCR5regionandelectrophoresis.
Figure6.A.HIVProteasebreakinguppolyproteinchain.B.ComparisonofHIVProteaseandPepsin.C.Comparisonof Inhibitors (Ritonavir &Lopinavir). D.Beer’s Lawused todetermineabsorbanceofChromophore inPepsin.E.I llustration ofSubstrateCleavageRatewithvariousSubstratevolumesand inhibitors.
HIV-1
CD4 +
UtilizingELISATestforSteve’sDiagnosis
Figure1.ELISATestdemonstratesifanti-HIVantibodiesarepresentinthesample.Abluewellindicatesapositiveresult,whileaclearwellindicatesanegative result.
A.
HIVP ro te ase Po lyp ro te in
Chain
H IVProteasePepsin
C.
B.
E.
C.
D.
Lopinavir Ritonavir
A.
B.
C. E=e-m- 1
D.
Figure5.A.Therateofneutralizationofphageisproportionaltothepercentagenotneutralized.B. Whenthedifferentialequationissolved,n(t)equalsthepercentage ofphagevirionsthatwereprevented frominfectingthebacterialcells.C. Thegraphoftheamountofphagesneutralizedafterdifferenttimesofincubation.
B.
Experiment3C.
Figure4.D. Example of whataplaquelookslike onaplate.
SomeSMARTOutcomes– 3yr data• 100%ofstudentsenrolledinSMARTfinished
the2semestercourse,100%conductsummerresearch;studentsreporthighselfefficacyandengagement
• 98%ofstudentscompletingSMARTtakeadditionalSTEMcourses
• 80%whohavedeclaredmajorsareSTEMand95%STEMmajororminor
SMARTQuotes• “Well,nowIhaveabetterunderstandingonhowmuchscientistscanmake
adifferenceforrealworldissues,andhowmuchweneedmorebrilliantscientists.Ialsounderstandhowmuchtimeandeffortintakestodiscovernewthingsandthatfailureisabigpartofsciencebutalsoanimportantpart. ”
• “Inhighschoolwejustlearnedthematerialandcrammedforthetestinordertogetagoodgrade.Therewasnodesiretostudytheinformationinordertolearnanduseitintherealworld.ButthiscoursehastaughtmethatIneedtolearntheinformationinordertouseinmyfuturecareer.Bydoingmoreadvancedandcurrentresearch,IdevelopedapassionforlearninginthehopesthatinmyfuturecareerIwillbeabletoutilizethisknowledge.IwanttohaveasmanyskillsandasmuchknowledgeaboutthesciencesaspossiblesoIcanhaveawiderangeofopportunitiesavailabletome. ”
• “Ifeelveryconfidenttalkingtopeopleaboutsciencewithpeopleafterdoingmyfirstposterpresentation.Atfirst,Iwasnervousofcourse,butthenalloftherelatedmaterialthatwediscussedduringthelabsbegantostartflowingoutnaturally.”
• “IfeelalotmorehopefulaboutthingsIcandowithasciencedegree.IhadpreviouslythoughtthatmyonlyinterestwasinmedicinebutIamfindingthatIhaveanaffinityforthechemistryaspectofthings.”
SMARTStudent’sPerspectives• “InSMARTwewentbeyondthematerialinthetextbooksand
appliedittooureverydaylives.Wewereabletolearnscienceandmathandactuallyseehowthesubjectrelatestotheworld,whichissomethingIwillbeabletotakeontomyotherclasses.Thisclasshaspreparedmetotakeonupperlevelclasseswithconfidence. ”
• “Theconnectionbetweenbiologyandcalculusinthisprogramisverystrong.Weanalyzedalotofourdatageneratedinbiolabsduringourcalc workshops.Thisreallyhelpedmetosynthesizecalc techniqueswithanalyzingandinterpretingdata.Ialsodevelopedstrongcomputerskillsthroughusingexcelregularly.Iamabletolookatasetofdataandunderstandwhatthenumbersmeans,andhowIcanusecertainequationsandgraphingtechniquestofurtherinterpretthem.”
• “Thisclassgavemetheconfidenceandmindsettoconnectpatternsandanalyzedata.Theseskillscanbecarriedtoanyclassscienceornon-science.Also,thescientificmindsetallowsmetomakeconclusionsandcarryoutexperimentslikeI'veneverbeenabletobefore. ”