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High  Quality  Engineering  Education  

Research  (EER):  Key  Elements  and  

Persistent  Misconceptions  

Ruth  A.  Streveler   Purdue  University,  West  Lafayette,  IN  USA  

Keynote  address   AAEE  Melbourne    3  December  2012  

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Overview  

  Where  are  these  ideas  coming  from?  

  A  bit  about  my  experience  

  As  a  practitioner  of  EER  

  As  a  teacher  of  EER  

  Placing  EER  in  a  global  context  

  Essentials  and  myths  

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As  an  engineering  education  researcher  

  My  primary  research  centers  on  engineering  students’  

understanding  difficult  concepts  in  engineering  science  

  What  concepts  are  difficult  to  understand?  

  Why  are  those  concepts  difficult?  

  How  does  one  measure  conceptual  understanding?  

  How  does  one  create  learning  environments  that  

help  students  better  understand  these  difficult   concepts?  

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As  a  teacher  of  EER  

 

With  engineering  faculty  

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The  beginnings  …  2004-­‐2006  

  Rigorous  Research  in  Engineering  Education  (RREE)  

  One-­‐week  summer  workshop,  year-­‐long  research  

project  

  Funded  by  National  Science  Foundation  (NSF),  

2004-­‐2006  

  About  150  engineering  faculty  participated  

  Goals  

  Develop  faculty  knowledge  and  skills  for  conducting  

EER  (especially  in  theory  and  research  methodology)  

  Cultivate  the  development  of  a  Community  of  

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Phase  2  –  2008  to  2011  

  Create  a  new  generation  of  professional  development  

opportunities  to  increase  engineering  education   research  capacity  

  Create  a  virtual  community  of  engineering  education  

researchers  

  CLEERhub.org  (CoLlaboratory  for  Engineering  

Education  Researchers)  

  HUB  platform  allows  for  community  members  to  

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1.  Fundamentals  of  Engineering  Education  Research  

2.  Selecting  Conceptual  Frameworks  

3.  Understanding  Qualitative  Research  

4.  Fundamentals  of  Quantitative  EER  

5.  Collaborating  with  Learning  and  Social  Scientists  

*Were  recorded  and  posted  on  CLEERhub.org  

 These  are  listed  as  “Featured  Resources”  on  the  front  page   and  on  rotating  banners.  

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Teaching  EER  PhD  students  

  At  Purdue  since  2006  one  year  after  the  PhD  program  

began  

  Have  developed  and  taught  courses  for  beginning  

Purdue  Engineering  Education  PhD  students  

  “Typical”  PhD  student  

  Has  an  engineering  undergraduate  and  masters  

degree  

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Summary  of  my  lived  experience  with  

EER  –  origin  of  this  talk  

  Worked  with  over  500  engineering  faculty  from  3  (now  

4!)  continents  

  Worked  with  about  75  engineering  education  PhD  

students  at  Purdue  

  Philosophically  engaged  in  how  the  new  paradigms  are  

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•  Groups,  centers,  departments  

•  Engineering  education  societies  

•  Forums  for  dissemination  

What  follows  is  a  sample  —  it  is  NOT  an  exhaustive  list!  

An  emerging  global  community  

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 Purdue   VT  

Centers  and  Departments  

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Key  elements  and  

misconceptions  

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Think-­‐pair-­‐share  

  Find  a  partner  and  introduce  yourself    

  Individually,  reflect  on  these  questions:  

  What  misgivings  do  you  personally  have  about  

engineering  education  research?  

  What  misgivings  do  you  perceive  your  colleagues  

have  about  engineering  education  research?    

  Partners  share  their  thoughts  with  each  other  

  Some  examples  shared  with  the  whole  group  

   

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Reframe  “key  elements”  and  “misconceptions”  as  

polarities  that  continually  interact  

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First  polarity:  the  

relationship  between  

practice  and  research    

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Mea  culpa  

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  Level  0  Teacher  

  Teach  as  taught  

  Level  1    Effective  Teacher  

  Teach  using  accepted  teaching  theories  and  practices  

  Level  2    Scholarly  Teacher  

  Assesses  performance  and  makes  improvements  

  Level  3    Scholar  of  Teaching  and  Learning  

  Engages  in  educational  experimentation,  shares  

results  

  Level  4    Engineering  Education  Researcher  

  Conducts  educational  research,  publishes  archival  papers  

Levels  of  Inquiry  

 

Source:  Streveler,  R.,  Borrego,  M.  and  Smith,  K.A.  2007.  Moving  from  the  

“Scholarship  of  Teaching  and  Learning”  to  “Educational  Research:”  An  Example  from   Engineering.  Improve  the  Academy,  Vol.  25,  139-­‐149.  

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Practical  issues  regarding  research  and  

practice  

  The  formation  of  two  “camps”  

  People  on  both  sides  feeling  left  out,  resentful,  defensive  

  Feelings  that  research  has  higher  status  than  practice  (teaching)    

  Pressure  that  educational  research  have  “immediate”  

impact  on  practice  –  standard  not  applied  to  technical   research    

  Perception  that  research  site  educational  research  

MUST  be  the  classroom.    

  The  frustration  that  research  results  often  do  not  inform  

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Second  polarity  –  single  or  

multiple  realities  

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Types  of  Educational  Research  

Quantitative  

Qualitative  

Source:  Douglas,  E.P.  (2010).Understanding    qualitative  research  workshop.  Frontiers   of  Education  Conference.      

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Types  of  Educational  Research  

Quantitative  

Qualitative  

Source:  Douglas,  E.P.  (2010).Understanding    qualitative  research  workshop.   Frontiers  of  Education  Conference.      

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Types  of  Educational  Research  

Post-­‐Positivist  

Interpretivist  

Single  reality.  

Relationships  among   variables.  

Methods  and  variables  defined  in   advance.  

Researcher  is  detached.  

Context-­‐free   generalizations.  

Multiple  realities.  

Description  of  situation.  

Methods  and  themes  emerge   during  study.  

Researcher  and  participants  are   partners.  

Context-­‐bound  descriptions.  

Source:  Douglas,  E.P.  (2010).Understanding    qualitative  research  workshop.  Frontiers  of   Education  Conference.      

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1.  Pose  significant questions that  can  be  

investigated  empirically

2.  Link  research  to  relevant  theory

3.  Use  methods  that  permit  direct

investigation  of  the  question  

4.  Provide  coherent,  explicit  chain  of  

reasoning

5.  Replicate  and  generalize  across  studies  

6.  Disclose  research  to  encourage  professional  

scrutiny and critique

Source:  Shavelson,  R.  J.  &  Towne,  L.  (2002).  Scientific  research  in  education.  

Washington  DC:  National  Academies  Press.    

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Some  results  of  the  positivist  legacy    

  Only  acceptable  research  design  is  experimental  

  Pre-­‐test,  intervention,  post-­‐test  

  Experimental  and  control  groups  

  Collect  data  that  can  be  quantified  

  Find  statistical  difference  between  groups  

  Necessitates  a  large  N    

  Common  criticism:  “Two  few  data  points!”  

  Results  of  EER  are  universal  –  will  work  for  everyone!  

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Suggested  reframing  of  

the  polarities  

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Reframing  polarity  one  

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No Yes

Yes Pure basic research (Bohr) basic research Use-inspired (Pasteur)

No

Pure applied

research (Edison)

 Source:  Stokes,  D.  (  1997).  Pasteur’s  quadrant:  Basic  science  and  technological  innovation.  Washington,  

DC:  Brookings  Institution.  

Use (Applied)

Understanding (Basic)

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Practical   Problem   Research   Problem   Research   Question   Research   Answer   motivates   informs   leads  to   and  helps   Research Process

Used  in  the  American  

Society  for  Engineering  

Education  Report:  

Creating  a  Culture  for  

Scholarly  and  

Systematic  Innovation  

in  Engineering  

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Reframing  polarity  two  (1)  

  The  research  QUESTION  drives  the  design  and  method  

  What  phenomenon  do  you  want  to  understand?  

  Is  this  a  phenomenon  that  is  already  well  

understood  with  identified  variables?    

  Lends  itself  to  correlational  or  experimental  

research  

  Is  this  a  new  area  just  being  explored?  

  Lends  itself  to  interpretivist  approaches  

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Pose  significant questions that  can  be  

investigated  empirically

Link  research  to  relevant  theory OR create theory

Use  methods  that  permit  direct investigation  of  the  question  

Provide  coherent,  explicit  chain  of  reasoning

Replicate  and  generalize  across  studies  OR transfer to applicable contexts

Disclose  research  to  encourage  professional  

scrutiny and critique

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Reframing  polarity  two  (2)  

  Engineering  thinking  is  used  to  modify  and/or  create  

new  social  or  learning  science  methodologies  and   theory.  

  Emerging  examples  

  New  theory:  Comparison  of  data  on  engineering  student   misconceptions  to  existing  theories  of  conceptual  change.  

  Montfort,  Herman  et  al.    

  New  methods:  New  ways  to  represent  qualitative  data.  

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How  this  transition  might  

be  experienced  

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Lee  Rynearson+  

  “I  think  the  primary  hangup  about  quantitative  vs  qualitative   methods  for  me  was  that,  reading  descriptions  of  qualitative   methods,  they  didn’t  seem  generalizeable.    I  took  it  as  

axiomatic  at  the  time  that  getting  generalizable  results  

was  the  goal  of  research,  and  I  didn’t  see  how  these  

methods  could  be  applied  effectively  to  that  end.    Once  I   understood  that  generally,  quantitative  and  qualitative   methods  are  intended  for  different  purposes,  and  that   they  can  be  complementary  rather  than  in  competition,  

this  objection  gradually  dissolved...”  

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Michele  Yatchmeneff+  (1)  

  When  asked  to  consider  Borrego’s  “conceptual  hurdles”  

article  I  said  “(4)  appreciation  of  qualitative  or  mixed-­‐ methods  approaches”  would  be  a  hurdle  I  would  face.    

   I  further  said:  “I  always  planned  to  ‘just’  develop  a  tool/

instrument/survey  to  try  to  obtain  results  to  my   dissertation  questions.    I  already  am  planning  to  

consider  mixed-­‐method  approaches  for  my  dissertation.     I  think  as  an  engineer  I  am  opposed  to  these  kinds  of   approaches  because  we  tend  to  want  to  number  

crunch.    I  can  see  in  a  majority  of  the  articles  I  have  read  

so  far  in  the  program  that  qualitative  and  mixed-­‐ methods  are  utilized  a  lot.”      

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Michele  Yatchmeneff+  (2)  

  When  asked  if  I  find  any  research  methods  particularly  

intriguing  I  say:  “I  am  an  engineer  and  thought  the  

only  way  to  collect  data  was  for  quantitative  analysis.     I  realize  the  value  of  qualitative  analysis  and  have  

transitioned  to  looking  at  now  collecting  qualitative  

data.    I  am  considering  collecting  ethnographic  

information  this  summer  and  looking  at  getting  a  book   about  how  to  effectively  take  ethnographic  field  notes.”     Again,  obviously  showing  I  am  considering  other  

methods  other  than  quantitative  research.      

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Think-­‐pair-­‐share  

  Reconnect  with  your  partner  

  Individual  reflection:    

  Do  you  see  evidence  of  a  researcher-­‐practitioner  

divide?  

  Do  you  see  evidence  of  a  positivist-­‐interpretivist  

(single  reality-­‐multiple  realities)  tension?  

  Partners  share  their  thoughts  with  each  other  

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Thanks  you!  

  To  Dr.  Llew  Mann,  for  inviting  me  to  present  this  keynote.  

  To  you  the  audience  for  your  attention,  interest,  and  participation.  

  To  past  workshop  participants  and  ENE  PhD  students  have  taught  

me  so  much.  

  To  the  National  Science  Foundation  for  funding  Rigorous  Research   in  Engineering  Education:  Creating  a  Community  of  Practice  (DUE   0341127)    and  Expanding  and  sustaining  research  capacity  in  

engineering  and  technology  education:  Building  on  successful   programs  for  faculty  and  graduate  students  (DUE  0817461)    

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