measuring educational interventions in context

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Measuring educa-onal interven-ons in context: A system for iden-fying how and why instruc-onal materials are effec-ve Amy Cassata, PhD and Jeanne Century, PhD Flash Presenta5on at the Third Biennial Global Implementa5on Conference Dublin, Ireland, May 29, 2015

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Measuring  educa-onal  interven-ons  in  context:    A  system  for  iden-fying  how  and  why  instruc-onal  materials  are  effec-ve  

 

Amy  Cassata,  PhD  and  Jeanne  Century,  PhD  Flash  Presenta5on  at  the  Third  Biennial  Global  Implementa5on  Conference  Dublin,  Ireland,  May  29,  2015  

Measuring  educa-onal  interven-ons  in  context:    A  system  for  iden-fying  how  and  why  instruc-onal  materials  are  effec-ve  

 

Amy  Cassata,  PhD  and  Jeanne  Century,  PhD  Flash  Presenta5on  at  the  Third  Biennial  Global  Implementa5on  Conference  Dublin,  Ireland,  May  29,  2015  

Educa&onal  interven&ons  are  curricula,  tools,  teaching  approaches,  programs,  or  prac5ces  designed  to  improve  student  outcomes.    

Instruc&onal  materials  are  one  type  of  educa5onal  interven5on.      They  are  resources  designed  for  use  by  teachers  in  classrooms  to  guide  their  instruc5on.    

To  help  guide  selec5on  decisions,  instruc5onal  materials  are  evaluated  based  on  evidence  of  their  effec5veness  in  improving  student  achievement.    

The  evidence  is  organized  and  summarized  to  help  school  and  district  leaders  decide  which  instruc5onal  materials  to  adopt  in  their  seLng.  

The  expecta5on  is  that  teachers’  use  of  these  materials  will  lead  to  large-­‐scale  changes  in  prac5ce  and  in  turn,  increased  levels  of  student  achievement.    

Evidence-­‐based  Instruc5onal  materials  

Large-­‐scale  changes  in  teacher  prac5ce  

Improved  student  achievement  

But  how  do  schools  and  districts  get  from  point  A,  to  point  B,  to  point  C?      

D Evidence-­‐based  Instruc5onal  materials  

Large-­‐scale  changes  in  teacher  prac5ce  

Improved  student  achievement  

Con5nued  posi5ve  outcomes  

TIME

And,  how  do  they  ensure  that  any  changes  in  teacher  prac5ce,  and  effects  on  student  outcomes,  will  be  sustained  over  5me?    

For  the  past  several  years,  our  research  team  has  asked  these  same  ques5ons.    

We  developed  a  theory  of  implementa5on  to  understand  and  measure  interven5ons  in  prac5ce,  the  factors  that  influence  their  use,  and  their  rela5onships  to  outcomes.    

Our  theory  begins  by  clearly  describing  an  interven5on  and  its  essen5al  components.    

We  then  consider  the  context  in  which  the  interven5on  is  used,  which  also  has  many  elements.    

THE  CONTEXT  THE  CONTEXT  

Characteris5cs  of  individual  end-­‐users  include  demographics,  disposi5ons,  and  percep5ons.  

Percep5ons    

Individual  beliefs    

Mo5va5on    

Self-­‐efficacy    

Innova5veness    

Resourcefulness    

Experience    

Demographics    

THE  CONTEXT  

Characteris5cs  of  the  organiza5on  include  people,  structures,  and  strategies.  

THE  CONTEXT  THE  CONTEXT  

Ongoing  improvement  structures  

 Organiza5onal  innova5veness  

 Time    

Locus  of  decision  making  

 Clarity  of  

organiza5onal  goals    

Learning  opportuni5es    

Leadership  

Elements  of  the  environment  include  policies,  poli5cs,  and  community  characteris5cs.  

THE  CONTEXT  

Poli5cal  environment  

 Extraneous  events  

 Community  

characteris5cs    

Community    beliefs  

 Learning    

opportuni5es  

THE  CONTEXT  

Networks  are  systems  of  interconnected  people  or  organiza5ons.      

THE  CONTEXT  THE  CONTEXT  Network    structure  

 Member  

rela5onships    

Trust    

Communica5on    

Change  and  evolu5on  

   

The  interven5on  is  enacted  in  a  context  over  5me,  which  means  that  elements  of  the  context  change.    

THE  CONTEXT  THE  CONTEXT  THE  CONTEXT  

And  in  turn,  interven5on  components  may  be  adapted  to  fit  the  changing  context.    

THE  CONTEXT  THE  CONTEXT  THE  CONTEXT  

All  of  these  elements  together  make  up  the  IMPLEMENTATION  PROCESS.    

THE  CONTEXT  THE  CONTEXT  THE  CONTEXT  

In  short,    Implementa5on  is  complex!  

D Evidence-­‐based  Instruc5onal  materials  

Large-­‐scale  changes  in  Teacher  prac5ce  

Improved  student  achievement  

Con5nued  posi5ve  outcomes  

TIME

Based  on  this  theory,  we  created  a  suite  of  instruments  to  measure  the  implementa5on  of  instruc5onal  materials  in  school  systems.  

D Evidence-­‐based  Instruc5onal  materials  

Large-­‐scale  changes  in  Teacher  prac5ce  

Improved  student  achievement  

Con5nued  posi5ve  outcomes  

TIME

Part  of  this  work  involved  a  research  study  to  understand  the  implementa5on  of  the  Everyday  Mathema&cs  curriculum  in  five  school  districts.  

“poten5ally  posi5ve  effects”  on  math  achievement    -­‐  What  Works  Clearinghouse  (2010)  

D Evidence-­‐based  Instruc5onal  materials  

Large-­‐scale  changes  in  Teacher  prac5ce  

Improved  student  achievement  

Con5nued  posi5ve  outcomes  

TIME

We  focused  in  par5cular  on  measuring  teacher  varia5on  in  EM  use,  and  understanding  why  teachers  used  EM  in  par5cular  ways.  

We  administered  two  ques5onnaires  to  387  K-­‐5  teachers  to  collect  data  on  which  EM  components  they  were  using,  and  why.  

EM  essen5al  components  

The  first  ques5onnaire  asked  teachers  to  report  the  extent  to  which  they  used  each  of  the  EM  components  in  the  most  recent  unit  they  taught.  

Items  measured  teachers’  use  of  EM  structures  (ac5vi5es,  procedures,  materials,  and  content),  their  interac5ons  with  students,  and  level  of  student  par5cipa5on.  

EM  essen5al  components  

The  second  ques5onnaire  asked  teachers  to  report  on  selected  teacher  and  school-­‐level  factors.  

THE  CONTEXT  

Percep5ons  about  EM    

Beliefs  about  student  ability  &  behavior  

 Extrinsic  mo5va5on  

for  EM    

Self-­‐efficacy  for  EM    

Innova5veness    

Resourcefulness    

Years  of  experience  

Ongoing  improvement  structures  

 Organiza5onal  innova5veness  

 Time    

Locus  of  decision  making  

 Clarity  of  

organiza5onal  goals  

Facilita5on  of  Small  Group  Par5cipa5on  

Facilita5on  of  Cogni5vely  Demanding  Work  

Facilita5on  of  Students    Taking  Risks  

Facilita5on  of    Student  Interest  

Use  of  Assessment  to  Inform  Instruc5on   Use  of  Differen5a5on  

Through  confirmatory  factor  analysis,  we  iden5fied  six  specific  EM  instruc5onal  prac5ces.  

We  conducted  mul5ple  regression  analysis  to  see  which  factors  were  most  strongly  related  to  which  EM  prac5ces.  

THE  CONTEXT  

Beliefs  about  student  ability  Beliefs  about  student  behavior  Perceived  effec5veness  for  EM  Extrinsic  mo5va5on  for  EM  Self-­‐efficacy  for  EM  Innova5veness  Resourcefulness  Years  of  experience  

Ongoing  improvement  structures  Clarity  of  organiza5onal  goals  Organiza5onal  innova5veness  Locus  of  decision  making  Time  sufficiency  

?  EM  prac5ces  

?  

We  found  that  teacher  characteris5cs  were  more  influen5al  than  school  characteris5cs.  

THE  CONTEXT  

Beliefs  about  student  ability  Beliefs  about  student  behavior  Perceived  effec5veness  for  EM  Extrinsic  mo5va5on  for  EM  Self-­‐efficacy  for  EM  Innova5veness  Resourcefulness  Years  of  experience  

Ongoing  improvement  structures  Clarity  of  organiza5onal  goals  Organiza5onal  innova5veness  Locus  of  decision  making  Time  sufficiency  

?  EM  prac5ces  

?  

D Evidence-­‐based  Instruc5onal  materials  

Large-­‐scale  changes  in  Teacher  prac5ce  

Improved  student  achievement  

Con5nued  posi5ve  outcomes  

TIME

Next,  we  were  interested  in  which  of  these  EM  prac5ces  were  associated  with  changes  in  student  math  achievement.  

We  conducted  a  path  analysis  to  predict  student  math  achievement  using  data  from  one  district  (N=125  teachers).  

We  es5mated  a  path  model  to  predict  math  achievement  for  students  in  grades  2-­‐5.    

Variables  controlled  for   Independent  variables   Dependent  variable  

The  model  contained  the  6  EM  instruc5onal  prac5ces  we  iden5fied  in  CFA.    

EM  Instruc-onal  prac-ces    

Facilita5on  of  small  group  par5cipa5on  

Facilita5on  of  cogni5vely  demanding  work  

Facilita5on  of  students  taking  risks  

Facilita5on  of  student  interest  

Use  of  assessment  to  inform  instruc5on  

Use  of  differen5a5on    

The  model  also  contained  6  EM  structures.  

EM  Structures    

Number  lessons  taught  in  order  

Number  of  lessons  with  parts  in  order  

Number  of  lessons  omiked  

Number  of  lesson  with  parts  omiked  

Amount  of  content  covered  in  the  unit  

Non-­‐EM  materials  supplementa5on    

Significant,  posi5ve  direct  effects  on  student  achievement  included:  ✔ Non-­‐EM  supplementa5on  ✔ Prior  achievement  

Significant,  posi5ve  indirect  effects  on  student  achievement  included:  ✔ Facilita5on  of  cogni5vely  demanding  work  ✔ Facilita5on  of  student  interest  ✔ Number  of  lessons  taught  in  order  ✔ Prior  achievement        

For  more  informa5on,  contact  Amy  Cassata  at  [email protected]    Century,  J.,  &  Cassata  A.  (2014).  Conceptual  founda5ons  for  measuring  the  implementa5on  of  educa5onal  innova5ons.  In  L.M.H.  SaneL  &  T.R.  Kratochwill  (Eds.),  Treatment  Integrity:  A  Founda&on  for  Evidence-­‐Based  Prac&ce  in  Applied  Psychology  (pp.  81-­‐108).    Washington,  DC:  American  Psychological  Associa5on.    

This  work  was  funded  by  the  Na5onal  Science  Founda5on  (#1109595)  and  the  US  Department  of  Educa5on  -­‐  Ins5tute  of  Educa5on  Sciences  (#R305A110621).  

Acknowledgements