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Evalua&on	
  and	
  Approval	
  
Constructs	
  For	
  K-­‐12	
  Online	
  and	
  
Blended	
  Courses	
  and	
  Providers	
  
Michael	
  Barbour	
  &	
  Tom	
  Clark	
  
•  Growth	
  in	
  K-­‐12	
  online	
  &	
  blended	
  learning	
  programs	
  
&	
  enrollments,	
  in	
  MI	
  &	
  U.S.	
  
•  MI	
  Legislature	
  li@s	
  ban	
  on	
  cyber	
  charters	
  (PA	
  227,	
  
2010)	
  
•  Removes	
  restricKons,	
  creates	
  pro-­‐growth	
  policies	
  
(PA	
  129,	
  2012)	
  
•  Growth	
  is	
  outpacing	
  research	
  on	
  quality	
  in	
  K-­‐12	
  OLL	
  
Overview	
  
•  MVU	
  tasked	
  to	
  develop	
  MVLRI	
  (PA	
  201,	
  2012)	
  
•  Provide	
  leadership	
  for	
  MI	
  online	
  &	
  blended	
  learning	
  
•  Key	
  MVLRI	
  task:	
  research,	
  develop,	
  and	
  recommend	
  
annually	
  to	
  the	
  department	
  criteria	
  by	
  which	
  cyber	
  
schools	
  and	
  online	
  course	
  providers	
  should	
  be	
  
monitored	
  and	
  evaluated	
  to	
  ensure	
  a	
  quality	
  
educa7on	
  for	
  their	
  pupils	
  (p.44).	
  	
  
Overview	
  
•  Purpose:	
  To	
  examine	
  exis&ng	
  policies	
  and	
  prac&ces	
  
related	
  to	
  the	
  evalua&on	
  and	
  approval	
  of	
  K-­‐12	
  
online	
  learning	
  in	
  the	
  U.S.	
  
– RQ1:	
  How	
  do	
  states	
  evaluate	
  the	
  quality	
  of	
  online	
  
learning	
  courses?	
  	
  
– RQ2:	
  How	
  do	
  states	
  iniKally	
  evaluate	
  the	
  quality	
  of	
  
online	
  learning	
  programs?	
  	
  
– RQ3:	
  How	
  do	
  states	
  ensure	
  the	
  quality	
  of	
  online	
  
learning	
  programs	
  on	
  an	
  on-­‐going	
  basis?	
  	
  
Methodology	
  
Six	
  Dimensions	
  of	
  Considera&on	
  
Evalua7on	
  &	
  Approval:	
  
Level	
  
Provider	
  /	
  Course	
  	
  
Evalua7on	
  &	
  Approval:	
  
Timeframe	
  
Front-­‐End/Ongoing	
  
Approval	
  Requirement	
   OpKonal	
  /	
  Required	
  
Geographic	
  Reach	
   MulK-­‐Dist	
  /	
  Single	
  Dist	
  
Modes	
  of	
  Instruc7on	
   Fully	
  Online	
  /	
  Blended	
  
Instruc7on	
   Full-­‐Kme	
  /	
  Supplemental	
  
•  RQ1:	
  How	
  do	
  states	
  evaluate	
  the	
  quality	
  of	
  online	
  
learning	
  courses?	
  	
  
•  States	
  typically	
  focus	
  either	
  at	
  course	
  or	
  provider	
  
level	
  
•  Some	
  do	
  both	
  (GA,	
  for	
  example)	
  
•  11	
  states	
  evaluate	
  course	
  quality	
  
•  MD’s	
  MVLO	
  and	
  CA’s	
  CLRN:	
  good	
  prescripKve	
  &	
  
opKonal	
  review	
  examples	
  
Findings	
  
•  RQ2:	
  How	
  do	
  states	
  ini&ally	
  evaluate	
  the	
  quality	
  of	
  
online	
  learning	
  programs?	
  	
  
•  24	
  states	
  require	
  iniKal	
  approval	
  of	
  F-­‐T	
  providers;	
  
approval	
  process	
  ranges	
  from	
  simple	
  to	
  complex	
  
•  33	
  states	
  require	
  iniKal	
  approval	
  of	
  F-­‐T	
  programs	
  
(usually	
  as	
  charters)	
  
•  Example:	
  GA	
  
Findings	
  
•  RQ3:	
  How	
  do	
  states	
  ensure	
  the	
  quality	
  of	
  online	
  
learning	
  programs	
  on	
  an	
  on-­‐going	
  basis?	
  	
  
•  All	
  states	
  that	
  permit	
  F-­‐T	
  online	
  public	
  schools	
  
require	
  them	
  to	
  report	
  like	
  other	
  public	
  schools	
  
•  At	
  least	
  5	
  states	
  require	
  ongoing	
  addiKonal	
  
reporKng	
  or	
  audits,	
  beyond	
  standard	
  reporKng	
  
•  Examples:	
  AZ,	
  MI	
  
•  One	
  state	
  (CO)	
  recently	
  removed	
  ongoing	
  
evaluaKon,	
  now	
  only	
  has	
  iniKal	
  approval	
  
Findings	
  
•  Con&nue	
  input-­‐focused	
  evalua&on	
  and	
  approval	
  
processes	
  for	
  F-­‐T	
  online	
  schools	
  
– Seek	
  to	
  ensure	
  they	
  meet	
  basic	
  quality	
  standards	
  
during	
  development	
  &	
  startup	
  
– Consider	
  eliminaKon	
  of	
  input	
  processes	
  not	
  
supported	
  by	
  research	
  or	
  evidence	
  of	
  student	
  
impact	
  
Recommenda&ons	
  
•  Define	
  blended	
  schools	
  with	
  a	
  significant	
  online	
  
learning	
  component,	
  and	
  track	
  their	
  results	
  
– For	
  example,	
  define	
  blended	
  as	
  30%-­‐80%	
  of	
  
instrucKonal	
  Kme	
  online	
  
– Track	
  results	
  separately	
  from	
  F-­‐T	
  online	
  (over	
  
80%)	
  
– Track	
  separately	
  from	
  supplemental	
  use	
  in	
  
tradiKonal	
  schools	
  (under	
  30%	
  online)	
  
	
  
Recommenda&ons	
  
•  Consider	
  adop&ng	
  an	
  intensive	
  state	
  review	
  
process	
  for	
  F-­‐T	
  online	
  schools	
  
– A@er	
  two	
  years	
  of	
  operaKon	
  or	
  on	
  a	
  periodic	
  basis	
  
as	
  funding	
  permits	
  
– BC:	
  good	
  external	
  audit	
  model	
  
– WA:	
  good	
  P-­‐T	
  vs	
  F-­‐T	
  differenKal	
  review	
  model	
  
Recommenda&ons	
  
•  Adopt	
  a	
  student	
  growth	
  model	
  for	
  K-­‐12	
  student	
  
performance	
  data	
  analysis	
  
– Provide	
  public	
  online	
  access	
  to	
  comparaKve	
  
analyses	
  of	
  data	
  
– Facilitate	
  comparison	
  of	
  F-­‐T	
  online,	
  blended,	
  and	
  
tradiKonal	
  school	
  results	
  
Recommenda&ons	
  
•  Collaborate	
  ac&vely	
  with	
  educa&onal	
  researchers	
  
to	
  help	
  build	
  the	
  evidence	
  base	
  for	
  what	
  works	
  in	
  
K-­‐12	
  online	
  and	
  blended	
  learning	
  
Recommenda&ons	
  
•  Adopt	
  processes	
  across	
  states	
  for	
  evidence-­‐based	
  
third	
  party	
  external	
  valida&on	
  of	
  K-­‐12	
  online	
  
courses	
  and	
  program	
  quality	
  
– Work	
  in	
  collaboraKon	
  with	
  professional	
  
associaKons,	
  associaKons	
  of	
  states,	
  online	
  
learning	
  providers,	
  and	
  post-­‐secondary	
  
insKtuKons	
  
Recommenda&ons	
  
Thank	
  you!	
  	
  
Michael	
  Barbour 	
   	
   	
   	
  	
  	
  	
  	
  	
  Tom	
  Clark	
  
MVLRI	
  Fellow 	
   	
   	
   	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  MVLRI	
  Fellow	
   	
  	
  	
  	
  	
  	
  	
  
mkbarbour@gmail.com 	
   	
   	
  	
  	
  	
  	
  	
  tom@taconsul7ng.net	
  
	
  
	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Kristen	
  DeBruler	
  &	
  MVRLI	
  colleagues	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  kdebruler@mivu.org	
  
	
  
	
  
	
  
	
  

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SITE 2016 - Evaluation and Approval Constructs For K-12 Online and Blended Courses and Providers

  • 1. Evalua&on  and  Approval   Constructs  For  K-­‐12  Online  and   Blended  Courses  and  Providers   Michael  Barbour  &  Tom  Clark  
  • 2. •  Growth  in  K-­‐12  online  &  blended  learning  programs   &  enrollments,  in  MI  &  U.S.   •  MI  Legislature  li@s  ban  on  cyber  charters  (PA  227,   2010)   •  Removes  restricKons,  creates  pro-­‐growth  policies   (PA  129,  2012)   •  Growth  is  outpacing  research  on  quality  in  K-­‐12  OLL   Overview  
  • 3. •  MVU  tasked  to  develop  MVLRI  (PA  201,  2012)   •  Provide  leadership  for  MI  online  &  blended  learning   •  Key  MVLRI  task:  research,  develop,  and  recommend   annually  to  the  department  criteria  by  which  cyber   schools  and  online  course  providers  should  be   monitored  and  evaluated  to  ensure  a  quality   educa7on  for  their  pupils  (p.44).     Overview  
  • 4. •  Purpose:  To  examine  exis&ng  policies  and  prac&ces   related  to  the  evalua&on  and  approval  of  K-­‐12   online  learning  in  the  U.S.   – RQ1:  How  do  states  evaluate  the  quality  of  online   learning  courses?     – RQ2:  How  do  states  iniKally  evaluate  the  quality  of   online  learning  programs?     – RQ3:  How  do  states  ensure  the  quality  of  online   learning  programs  on  an  on-­‐going  basis?     Methodology  
  • 5. Six  Dimensions  of  Considera&on   Evalua7on  &  Approval:   Level   Provider  /  Course     Evalua7on  &  Approval:   Timeframe   Front-­‐End/Ongoing   Approval  Requirement   OpKonal  /  Required   Geographic  Reach   MulK-­‐Dist  /  Single  Dist   Modes  of  Instruc7on   Fully  Online  /  Blended   Instruc7on   Full-­‐Kme  /  Supplemental  
  • 6. •  RQ1:  How  do  states  evaluate  the  quality  of  online   learning  courses?     •  States  typically  focus  either  at  course  or  provider   level   •  Some  do  both  (GA,  for  example)   •  11  states  evaluate  course  quality   •  MD’s  MVLO  and  CA’s  CLRN:  good  prescripKve  &   opKonal  review  examples   Findings  
  • 7. •  RQ2:  How  do  states  ini&ally  evaluate  the  quality  of   online  learning  programs?     •  24  states  require  iniKal  approval  of  F-­‐T  providers;   approval  process  ranges  from  simple  to  complex   •  33  states  require  iniKal  approval  of  F-­‐T  programs   (usually  as  charters)   •  Example:  GA   Findings  
  • 8. •  RQ3:  How  do  states  ensure  the  quality  of  online   learning  programs  on  an  on-­‐going  basis?     •  All  states  that  permit  F-­‐T  online  public  schools   require  them  to  report  like  other  public  schools   •  At  least  5  states  require  ongoing  addiKonal   reporKng  or  audits,  beyond  standard  reporKng   •  Examples:  AZ,  MI   •  One  state  (CO)  recently  removed  ongoing   evaluaKon,  now  only  has  iniKal  approval   Findings  
  • 9. •  Con&nue  input-­‐focused  evalua&on  and  approval   processes  for  F-­‐T  online  schools   – Seek  to  ensure  they  meet  basic  quality  standards   during  development  &  startup   – Consider  eliminaKon  of  input  processes  not   supported  by  research  or  evidence  of  student   impact   Recommenda&ons  
  • 10. •  Define  blended  schools  with  a  significant  online   learning  component,  and  track  their  results   – For  example,  define  blended  as  30%-­‐80%  of   instrucKonal  Kme  online   – Track  results  separately  from  F-­‐T  online  (over   80%)   – Track  separately  from  supplemental  use  in   tradiKonal  schools  (under  30%  online)     Recommenda&ons  
  • 11. •  Consider  adop&ng  an  intensive  state  review   process  for  F-­‐T  online  schools   – A@er  two  years  of  operaKon  or  on  a  periodic  basis   as  funding  permits   – BC:  good  external  audit  model   – WA:  good  P-­‐T  vs  F-­‐T  differenKal  review  model   Recommenda&ons  
  • 12. •  Adopt  a  student  growth  model  for  K-­‐12  student   performance  data  analysis   – Provide  public  online  access  to  comparaKve   analyses  of  data   – Facilitate  comparison  of  F-­‐T  online,  blended,  and   tradiKonal  school  results   Recommenda&ons  
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  • 16. •  Collaborate  ac&vely  with  educa&onal  researchers   to  help  build  the  evidence  base  for  what  works  in   K-­‐12  online  and  blended  learning   Recommenda&ons  
  • 17. •  Adopt  processes  across  states  for  evidence-­‐based   third  party  external  valida&on  of  K-­‐12  online   courses  and  program  quality   – Work  in  collaboraKon  with  professional   associaKons,  associaKons  of  states,  online   learning  providers,  and  post-­‐secondary   insKtuKons   Recommenda&ons  
  • 18. Thank  you!     Michael  Barbour                  Tom  Clark   MVLRI  Fellow                                              MVLRI  Fellow                 mkbarbour@gmail.com                tom@taconsul7ng.net                                                                      Kristen  DeBruler  &  MVRLI  colleagues                                                                                      kdebruler@mivu.org