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Measuring and improving selfregulated learning From cogni6ve psychology to educa6onal prac6ce Anique de Bruin, PhD Department of Educa6onal Development and Research Faculty of Health, Medicine, and Life Sciences

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Page 1: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

Measuring  and  improving  self-­‐regulated  learning  From  cogni6ve  psychology  to  educa6onal  prac6ce    Anique  de  Bruin,  PhD  

Department  of  Educa6onal  Development  and  Research  Faculty  of  Health,  Medicine,  and  Life  Sciences  

Page 2: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

   

Page 3: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

> 50%   0  

10  

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50  

60  

70  

80  

90  

1st   2nd   3rd   4th  

Percen

tages  

Performance  quar0les  

Test  performance  

Es6ma6on  

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 Why  are  poor  self-­‐judgments  in  educa0on  troublesome?  

     

Overconfidence  decreases  

performance  and  causes  

underachievement      

Poor  monitoring  

 

Poor  Self-­‐regulated  

learning    

Lower  academic  performance  

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Why  and  when  are  we  poor  at  monitoring  our  learning?  

 Why  don’t  we  learn  from  our  experiences?  

     

Why  and  when  are  we  good  at  monitoring  our  learning?  

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How well will you do on the test?

Metacognitive intervention

The typical paradigm

Text  Problem  Skill  

Page 7: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

Who’s  good  at  it?        

Gender    

Intelligence  

Personality    

Knowledge  

0  

20  

40  

60  

80  

100  

1st   2nd   3rd   4th  

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Does  it  maJer?      

Knowledge  

0  

20  

40  

60  

80  

100  

1st   2nd   3rd   4th  

YES,  DEFINITELY    Experts  excel  in  self-­‐reflec0on  (Ericsson  et  al.,  1993)    Students  with  more  knowledge  are  beJer  at  self-­‐judging  

 “DOUBLE  CURSE”  

   

Page 9: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

Does  it  maJer?      

Intelligence  

NOT  REALLY    It’s  more  WM,  if  at  all    Veenman  (2013):  highest  IQ  à  poorer  metacogni0ve  skills.        

Page 10: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

Does  it  maJer?      

Gender    

Intelligence  

Personality    

Page 11: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

Does  it  maJer?      

Personality    

POSSIBLY  SOMEWHAT    Narcissism  &  op0mism    (De  Bruin,  Kok,  Lobbestael,  &  De  Grip,  in  prep)  

 Higher  narcissism  à  more  overes0ma0on    Posi0vism:  ?  Not  directly  

   

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Does  it  maJer?      

Gender    

YES,  SOMEWHAT    Males  are  usually  somewhat  more  overconfident,  but:    Females  are  also  overconfident    And  females  usually  score  higher    

Page 13: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

Who’s  good  at  it?        

Gender    

Intelligence  

Personality    

Knowledge  

0  

20  

40  

60  

80  

100  

1st   2nd   3rd   4th  

Individual  differences  maQer  in  a  small  to  moderate  extent,  but  never  do  they  preclude  the  

possible  effect  of  instruc6onal  interven6ons  

Page 14: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

When  are  we  good  at  it?          

Task    complexity  &  WM  

Implicit    rela6on  

to  judgment    

Genera6on  Rela6ve  vs    absolute  accuracy  

 

Timing  of  judgment  

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When  are  we  good  at  it?          

Timing  of  judgment  

YES,  DEFINITELY,  BUT              (D-­‐JOL  effect,  Nelson  &  Dunlosky,  1991)  

 Delay  ensures  LTM  retrieval.    If  it  is  in  WM  now,  it  doesn’t  have  to  be  at  the  test.      No  (or  reversed?)  effect  of  delay  in  problem  solving  tasks    (Baars  et  al.,  in  press)  

     

Memory

Judgment

Shared areas

     

       (Falbo  et  al.,  submiJed)  

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When  are  we  good  at  it?          

Genera6on  

YES,  DEFINITELY    Ac0vely  genera0ng  informa0on  from  LTM  vs  passive  reading    Diagrams,  keywords,  sentences  (Van  Loon  et  al.,  2013;  De  Bruin  et  al.,  2011)  à  Usually,  only  aier  a  delay    Self-­‐tes0ng      

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     (Van  Loon  et  al.,  revision  resubmiJed)  

Page 18: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

When  are  we  good  at  it?          

Task    complexity  &  WM  

Implicit    rela6on  

to  judgment    

Genera6on  Rela6ve  vs    absolute  accuracy  

 

Timing  

Cogni6ve  mechanism  behind  adequate  monitoring  

 CUE  UTILIZATION  MODEL    

(Koriat,  1997)    

People  use  informa6on  (‘cues’)  that  is  most  available  (comes  to  mind  easily)  when  making  a  self-­‐judgment.  

 These  cues  are  oeen  invalid  and  superficial  (e.g.,    

accessibility,  familiarity).    

By  improving  the  cues  people  use,  we  can  improve  monitoring.    

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METACOGNITIVE  INTERVENTIONS    

If  we  iden6fy  valid  cues  for  a  learning  task  (i.e.,  the  ones  that  accurately  predict  

learning  performance),    

And  we  design  an  interven6on  that  requires  students  to  generate  these  cues,  

and  only  these  cues,    

We  can  improve  monitoring  of  learning.  

To  conclude          

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How well will you do on the test?

Metacognitive intervention

How about real life?

Text  Problem  Skill  

Page 21: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

How well will you do on the test?

Metacognitive intervention

Cavalcanti et al. (in prep)

Diagnose  on  a  simulator  

How  confident  are  you  in  your  diagnosis?  

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How well will you do on the test?

Metacognitive intervention

Wagner et al. (in prep)

Simulated  pa0ent  contact  

Describe  5  moments  where  you  

were  (dis)sa0sfied  

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How well will you do on the test?

Metacognitive intervention

Kok et al. (in prep)

Learn  CXR  

Judge  accuracy  of  diagnosis  

Take  test  on  CXR  

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Use  this  framework          

1.  Determine  VALID  CUES  for  your  learning  task    2.  Design  instruc0on  that  allows  students  to  self-­‐generate  these  cues    3.  Have  them  judge  their  learning    4.  Determine  accuracy  of  judgments  

Poor  monitoring  

 

 Self-­‐regulated  

learning    

Lower  academic  performance  

Page 25: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

For  future  research          

Real  life  self-­‐regulated  learning:      Avoiding  the  delay    Self-­‐tes0ng    Selec0ng  valid  cues  when  both  are  available  

Poor  monitoring  

 

 Self-­‐regulated  

learning    

Lower  academic  performance  

Page 26: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

 Thanks  to:  Ellen  Kok  MarieQe  van  Loon  Mar6ne  Baars  Luciana  Falbo  Gino  Camp  

Thank  you  for  your  aJen0on  

Tamara  van  Gog  Peter  S6ers  Jeroen  van  Merrienboer  Fred  Paas  Jill  Lobbestael  Andries  de  Grip  

[email protected]    

There  are  three  things  extremely  hard:  steel,  a  diamond,  and  to  know  one’s  self    -­‐    

Benjamin  Franklin  (1750)    

Page 27: Presentation RME nov 13 improving metacog skills A de Bruin · Presentation RME nov 13 improving metacog skills A de Bruin.ppt Author: Anique de Bruin Created Date: 11/28/2013 7:40:13

Use  this  framework          

1.  Determine  VALID  CUES  for  your  learning  task    2.  Design  instruc0on  that  allows  students  to  self-­‐generate  these  cues    3.  Have  them  judge  their  learning    4.  Determine  accuracy  of  judgments  

Poor  monitoring  

 

 Self-­‐regulated  

learning    

Lower  academic  performance  

Textbook  learning  Skills  training  

Planning  and  goal  seong