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EARLI — SIG 16 Metacognition, 
2nd Biennial Conference — Friday 21 July 2006 
Excel spreadsheet to support 
veterinary student’s 
metacognition 
Jean-Loup Castaigne 
IFRES — LabSET 
University of Liege, Belgium
Liege, the Vet faculty 
Geographical situation 
Who am I? 
What teaching am I involved with? 
Reproduction of the cow and the mare 
5th year out of 6 — students’ mean age of 24 
390 students — 75% of girls — 10% of 
students with interest in cattle and horses. 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
2
Excel spreadsheet to 
support veterinary 
student’s metacognition 
3 
Outline 
• Theoretical background 
• Presentation of the tool 
• Survey 
• Conclusions
“Regulative” metacognition 
Bernadette Noël (1991) 
Metacognitive judgment 
Metacognitive process: being 
aware 
Metacognitive decision: 
decide to or not to regulate 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
4
Excel spreadsheet to 
support veterinary 
student’s metacognition Outline 
• Theoretical background 
• Presentation of the tool 
• Survey 
• Conclusions
Methodology (1 year) 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
Teaching 
Study 
formative 
test 1 
September 
Teaching Study 
formative 
test 2 
December 
certification 
Study Teaching test 1 (January) formative 
test 2 
February 
Study 
Oral 
exam 
(June) 
Teaching Study certification 
test 2 (March) 
from Edgar P. Jacobs 1956 - The Yellow "M" 
6 
ISBN 2-87097-010-2
Weight of each test 
Formative test #1 
Formative test #2 
Certification test #1 
Formative test #3 
Certification test #2 
Final oral examination 
100% 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 7
Pay-off for MCQ 
“cognitive” score 
Correct Answer (CA): +1 
Wrong Answer (WA): -0,5 
No answer (NoA): -0,25 
Freedom to use, or not to 
confidence marking for MCQ 
self-estimation for open questions 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
8
Hypothesis 
If confidence marking does 
NOT influence the results 
of the test, students will be 
more sincere giving the 
confidence they associate 
with the chosen answer. 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 9
Are the students sincere? 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
10 
Certitu 
de 
0-25% 25-50 
% 
50-70 
% 
70-85 
% 
85-95 
% 
95-100 
Référen % 
ce 
12,5 % 37,5 % 60 % 77,5 % 90 % 98,5 % 
cochez 0 1 2 3 4 5 
RC +13 +16 +17 +18 +19 +20 
RI +4 +3 +2 +0 -6 -20
Survey (n=369) 
In certification tests including confidence 
marking, I choose maximum 60% and less 
if I doubt because for an incorrect answer 
with a confidence of 80% ou 100% penalize 
my score. 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
11 
Confi 
dence 
0 % 20 % 40 % 60 % 80 % 100 % 
Thick 0 1 2 3 4 5 
CA +13 +16 +17 +18 +19 +20 
IA +4 +3 +2 +0 -6 -20
5 metacognitive measures 
Help Global view of a# 5 tests 
Individual test with comments 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 12
Computing and drawing 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 13
Spectral distribution 
no answer 
Incorrect answers 
Confidence : from -100 to -0 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
Jans (1999) 
Correct answers 
Confidence : from 0 to +100 Number of answers 
14
Spectral distribution 
Three types of knowledge situation 
misinformed 
uninformed 
informed 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
15 
Hunt (1993)
Spectral distribution 
uninformed 
no answer 
misinformed 
Confidence : from -100 to -0 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
Hunt (1993) Jans (1999) 
informed 
Confidence : from 0 to +100 Number of answers 16
Spectral distribution 
no answer 
misinformed 
Confidence : from -100 to -0 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
Hunt (1993) 
informed 
Confidence : from 0 to +100 Number of answers 
17 
uninformed 
Jans (1999) 
Dangerous 
Konwledge 
Usable 
Knowledge 
unusable knowledge
Four zones 
Unawareness 
Leclercq 2003 
Usable 
knowledge 
answers 
of Number Confidence : from -100 to Confidence -0 : from 0 to +100 Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 18 
Mid 
knowledge 
Dangerous 
knowledge
Drawing of graphs 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
19
Regarding all Realism graph 
MCQ for which 
you choose a 
confidence of 
40% 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
adapted "om 
Chosen confidence Leclercq & Gi$es 1995 
Percentage of CA 
For those MCQ 
you’ve reached a 
score of 63% of 
correct answers 
You’ve succeeded 
more (63%) than you 
estimate (40%): thus 
in the class of 40% 
you underestimate 
your level 
20
Comments: evaluated fields 
Cognitive field 
Metacognitive field 
Objective judgments & analysis 
Subjective judgments & analysis 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
Metacognitive regulation 
21
Excel spreadsheet to 
support veterinary 
student’s metacognition Outline 
• Theoretical background 
• Presentation of the tool 
• Survey 
• Conclusions
Cognition vs. Metacognition 
I’ve progressed in metacognition only 
because I progressed in knowledge in 
reproduction 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
24
Regulation “product” 
Filling the spreadsheet pushed me to 
study more reproduction 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
25
Regulation “process” 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
26 
Because of what I’ve learned filling the 
spreadsheet I’ve change my method of 
working
Because of what I’ve learned filling the 
spreadsheet I’ve changed the way I use 
confidence marking 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
27 
Regulation “process”
Excel spreadsheet to 
support veterinary 
student’s metacognition Outline 
• Theoretical background 
• Presentation of the tool 
• Survey 
• Conclusions
Conclusion 
“Regulative” metacognition 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
29 
Noël (1991) 
Products Processess 
pre per post pre per post 
Judgment ✔ 
Analysis ✔ 
✔ 
Regulation ✔ 
✔ 
✔ 
✔ ✔
Conclusion 
“ I’m not sure that this system helps us to 
understand better success or failure. It is 
very complex and it doesn’t matter 
commenting numbers or graphs, it’s 
always theoretical…” 
“I was really dubious regarding the 
efficiency of this system but my own 
progresses proves me that it was hugely 
profitable.” 
Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 
30
Thank you for 
your attention.

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An experience using degrees of certitude

  • 1. EARLI — SIG 16 Metacognition, 2nd Biennial Conference — Friday 21 July 2006 Excel spreadsheet to support veterinary student’s metacognition Jean-Loup Castaigne IFRES — LabSET University of Liege, Belgium
  • 2. Liege, the Vet faculty Geographical situation Who am I? What teaching am I involved with? Reproduction of the cow and the mare 5th year out of 6 — students’ mean age of 24 390 students — 75% of girls — 10% of students with interest in cattle and horses. Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 2
  • 3. Excel spreadsheet to support veterinary student’s metacognition 3 Outline • Theoretical background • Presentation of the tool • Survey • Conclusions
  • 4. “Regulative” metacognition Bernadette Noël (1991) Metacognitive judgment Metacognitive process: being aware Metacognitive decision: decide to or not to regulate Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 4
  • 5. Excel spreadsheet to support veterinary student’s metacognition Outline • Theoretical background • Presentation of the tool • Survey • Conclusions
  • 6. Methodology (1 year) Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 Teaching Study formative test 1 September Teaching Study formative test 2 December certification Study Teaching test 1 (January) formative test 2 February Study Oral exam (June) Teaching Study certification test 2 (March) from Edgar P. Jacobs 1956 - The Yellow "M" 6 ISBN 2-87097-010-2
  • 7. Weight of each test Formative test #1 Formative test #2 Certification test #1 Formative test #3 Certification test #2 Final oral examination 100% Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 7
  • 8. Pay-off for MCQ “cognitive” score Correct Answer (CA): +1 Wrong Answer (WA): -0,5 No answer (NoA): -0,25 Freedom to use, or not to confidence marking for MCQ self-estimation for open questions Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 8
  • 9. Hypothesis If confidence marking does NOT influence the results of the test, students will be more sincere giving the confidence they associate with the chosen answer. Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 9
  • 10. Are the students sincere? Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 10 Certitu de 0-25% 25-50 % 50-70 % 70-85 % 85-95 % 95-100 Référen % ce 12,5 % 37,5 % 60 % 77,5 % 90 % 98,5 % cochez 0 1 2 3 4 5 RC +13 +16 +17 +18 +19 +20 RI +4 +3 +2 +0 -6 -20
  • 11. Survey (n=369) In certification tests including confidence marking, I choose maximum 60% and less if I doubt because for an incorrect answer with a confidence of 80% ou 100% penalize my score. Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 11 Confi dence 0 % 20 % 40 % 60 % 80 % 100 % Thick 0 1 2 3 4 5 CA +13 +16 +17 +18 +19 +20 IA +4 +3 +2 +0 -6 -20
  • 12. 5 metacognitive measures Help Global view of a# 5 tests Individual test with comments Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 12
  • 13. Computing and drawing Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 13
  • 14. Spectral distribution no answer Incorrect answers Confidence : from -100 to -0 Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 Jans (1999) Correct answers Confidence : from 0 to +100 Number of answers 14
  • 15. Spectral distribution Three types of knowledge situation misinformed uninformed informed Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 15 Hunt (1993)
  • 16. Spectral distribution uninformed no answer misinformed Confidence : from -100 to -0 Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 Hunt (1993) Jans (1999) informed Confidence : from 0 to +100 Number of answers 16
  • 17. Spectral distribution no answer misinformed Confidence : from -100 to -0 Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 Hunt (1993) informed Confidence : from 0 to +100 Number of answers 17 uninformed Jans (1999) Dangerous Konwledge Usable Knowledge unusable knowledge
  • 18. Four zones Unawareness Leclercq 2003 Usable knowledge answers of Number Confidence : from -100 to Confidence -0 : from 0 to +100 Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 18 Mid knowledge Dangerous knowledge
  • 19. Drawing of graphs Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 19
  • 20. Regarding all Realism graph MCQ for which you choose a confidence of 40% Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 adapted "om Chosen confidence Leclercq & Gi$es 1995 Percentage of CA For those MCQ you’ve reached a score of 63% of correct answers You’ve succeeded more (63%) than you estimate (40%): thus in the class of 40% you underestimate your level 20
  • 21. Comments: evaluated fields Cognitive field Metacognitive field Objective judgments & analysis Subjective judgments & analysis Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 Metacognitive regulation 21
  • 22.
  • 23. Excel spreadsheet to support veterinary student’s metacognition Outline • Theoretical background • Presentation of the tool • Survey • Conclusions
  • 24. Cognition vs. Metacognition I’ve progressed in metacognition only because I progressed in knowledge in reproduction Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 24
  • 25. Regulation “product” Filling the spreadsheet pushed me to study more reproduction Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 25
  • 26. Regulation “process” Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 26 Because of what I’ve learned filling the spreadsheet I’ve change my method of working
  • 27. Because of what I’ve learned filling the spreadsheet I’ve changed the way I use confidence marking Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 27 Regulation “process”
  • 28. Excel spreadsheet to support veterinary student’s metacognition Outline • Theoretical background • Presentation of the tool • Survey • Conclusions
  • 29. Conclusion “Regulative” metacognition Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 29 Noël (1991) Products Processess pre per post pre per post Judgment ✔ Analysis ✔ ✔ Regulation ✔ ✔ ✔ ✔ ✔
  • 30. Conclusion “ I’m not sure that this system helps us to understand better success or failure. It is very complex and it doesn’t matter commenting numbers or graphs, it’s always theoretical…” “I was really dubious regarding the efficiency of this system but my own progresses proves me that it was hugely profitable.” Jean-Loup Castaigne, EARLI-SIG Metacognition, Cambridge 2006 30
  • 31. Thank you for your attention.

Hinweis der Redaktion

  1. The vet faculty is part of Liege university which laid south off Liege town, on a hill, in the middle of the woods. I have been graduated as a vet surgeon in 1993. In 1999 I’ve been offered a position in reproduction of large animals. The teaching happens in 5th out of 6 year of formation. 75 percent of student are girls. Only 10% pay some interest to cattle and horses.
  2. The vet faculty is part of Liege university which laid south off Liege town, on a hill, in the middle of the woods. I have been graduated as a vet surgeon in 1993. In 1999 I’ve been offered a position in reproduction of large animals. The teaching happens in 5th out of 6 year of formation. 75 percent of student are girls. Only 10% pay some interest to cattle and horses.
  3. The vet faculty is part of Liege university which laid south off Liege town, on a hill, in the middle of the woods. I have been graduated as a vet surgeon in 1993. In 1999 I’ve been offered a position in reproduction of large animals. The teaching happens in 5th out of 6 year of formation. 75 percent of student are girls. Only 10% pay some interest to cattle and horses.
  4. The vet faculty is part of Liege university which laid south off Liege town, on a hill, in the middle of the woods. I have been graduated as a vet surgeon in 1993. In 1999 I’ve been offered a position in reproduction of large animals. The teaching happens in 5th out of 6 year of formation. 75 percent of student are girls. Only 10% pay some interest to cattle and horses.
  5. My presentation will be divided in 4 parts, the main one being the presentation of the tool.
  6. My presentation will be divided in 4 parts, the main one being the presentation of the tool.
  7. My presentation will be divided in 4 parts, the main one being the presentation of the tool.
  8. My presentation will be divided in 4 parts, the main one being the presentation of the tool.
  9. Nowl 1991 workflow: to do all three in a row
  10. Nowl 1991 workflow: to do all three in a row
  11. Nowl 1991 workflow: to do all three in a row
  12. Nowl 1991 workflow: to do all three in a row
  13. Nowl 1991 workflow: to do all three in a row
  14. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  15. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  16. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  17. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  18. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  19. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  20. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  21. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  22. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  23. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  24. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  25. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  26. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  27. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  28. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  29. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  30. Confidence marking consists in asking to a student to add a Degree of Certainty (DC) to each answer to a test
  31. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  32. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  33. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  34. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  35. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  36. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  37. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  38. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  39. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  40. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  41. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  42. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  43. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  44. First course: test on the prerequisite, mainly physiology and anatomy. Formative test meaning that the score will not influence the final score of the student M stands for metacognition analysis and regulation. Judgment occurs during the test. Certification test means that the test -if taken- will influence the final score.
  45. Students are free to take the certification tests or not to. If they do the score of the test will influence the final score by a weight of 15% for C1 and 35% for C2. The remaining percentage to reach 100% is devoted to the oral examination. Should a student succeed both certification test then he/she is allowed either to keep that score or to take the oral exam to make it better... or not the weight of the oral remaining 50% at least.
  46. Students are free to take the certification tests or not to. If they do the score of the test will influence the final score by a weight of 15% for C1 and 35% for C2. The remaining percentage to reach 100% is devoted to the oral examination. Should a student succeed both certification test then he/she is allowed either to keep that score or to take the oral exam to make it better... or not the weight of the oral remaining 50% at least.
  47. Students are free to take the certification tests or not to. If they do the score of the test will influence the final score by a weight of 15% for C1 and 35% for C2. The remaining percentage to reach 100% is devoted to the oral examination. Should a student succeed both certification test then he/she is allowed either to keep that score or to take the oral exam to make it better... or not the weight of the oral remaining 50% at least.
  48. Students are free to take the certification tests or not to. If they do the score of the test will influence the final score by a weight of 15% for C1 and 35% for C2. The remaining percentage to reach 100% is devoted to the oral examination. Should a student succeed both certification test then he/she is allowed either to keep that score or to take the oral exam to make it better... or not the weight of the oral remaining 50% at least.
  49. Students are free to take the certification tests or not to. If they do the score of the test will influence the final score by a weight of 15% for C1 and 35% for C2. The remaining percentage to reach 100% is devoted to the oral examination. Should a student succeed both certification test then he/she is allowed either to keep that score or to take the oral exam to make it better... or not the weight of the oral remaining 50% at least.
  50. Students are free to take the certification tests or not to. If they do the score of the test will influence the final score by a weight of 15% for C1 and 35% for C2. The remaining percentage to reach 100% is devoted to the oral examination. Should a student succeed both certification test then he/she is allowed either to keep that score or to take the oral exam to make it better... or not the weight of the oral remaining 50% at least.
  51. Not to answer when you don’t know in every day situation is recommended. Not to answer during an exam after teaching, notes, time for questions, training and so on has been given is a completely different situation
  52. Not to answer when you don’t know in every day situation is recommended. Not to answer during an exam after teaching, notes, time for questions, training and so on has been given is a completely different situation
  53. our hypothesis is It is based on 3 years of data collection using confidence marking and on a survey...
  54. and a survey in which we asked to our student the following question. We had 369 answers in which 42% of the student admit that they use the described strategy (maybe not all the time and maybe other strategies)
  55. and a survey in which we asked to our student the following question. We had 369 answers in which 42% of the student admit that they use the described strategy (maybe not all the time and maybe other strategies)
  56. and a survey in which we asked to our student the following question. We had 369 answers in which 42% of the student admit that they use the described strategy (maybe not all the time and maybe other strategies)
  57. This is the empty of results spreadsheet the student receives. This sheet shows the global view of all tests. Help is provided with 1. a small step by step user guide, 2. cells that must be filled contain what is expected in terms of contents, 3. values that are computed are explained for both how they are computed and how to analyze then, and 4. a specific sheet contains all information in text. Each of the 5 test has also its own sheet for the student to type their comments.
  58. This is the empty of results spreadsheet the student receives. This sheet shows the global view of all tests. Help is provided with 1. a small step by step user guide, 2. cells that must be filled contain what is expected in terms of contents, 3. values that are computed are explained for both how they are computed and how to analyze then, and 4. a specific sheet contains all information in text. Each of the 5 test has also its own sheet for the student to type their comments.
  59. This is the empty of results spreadsheet the student receives. This sheet shows the global view of all tests. Help is provided with 1. a small step by step user guide, 2. cells that must be filled contain what is expected in terms of contents, 3. values that are computed are explained for both how they are computed and how to analyze then, and 4. a specific sheet contains all information in text. Each of the 5 test has also its own sheet for the student to type their comments.
  60. This is the empty of results spreadsheet the student receives. This sheet shows the global view of all tests. Help is provided with 1. a small step by step user guide, 2. cells that must be filled contain what is expected in terms of contents, 3. values that are computed are explained for both how they are computed and how to analyze then, and 4. a specific sheet contains all information in text. Each of the 5 test has also its own sheet for the student to type their comments.
  61. This is the empty of results spreadsheet the student receives. This sheet shows the global view of all tests. Help is provided with 1. a small step by step user guide, 2. cells that must be filled contain what is expected in terms of contents, 3. values that are computed are explained for both how they are computed and how to analyze then, and 4. a specific sheet contains all information in text. Each of the 5 test has also its own sheet for the student to type their comments.
  62. This is the empty of results spreadsheet the student receives. This sheet shows the global view of all tests. Help is provided with 1. a small step by step user guide, 2. cells that must be filled contain what is expected in terms of contents, 3. values that are computed are explained for both how they are computed and how to analyze then, and 4. a specific sheet contains all information in text. Each of the 5 test has also its own sheet for the student to type their comments.
  63. This is the empty of results spreadsheet the student receives. This sheet shows the global view of all tests. Help is provided with 1. a small step by step user guide, 2. cells that must be filled contain what is expected in terms of contents, 3. values that are computed are explained for both how they are computed and how to analyze then, and 4. a specific sheet contains all information in text. Each of the 5 test has also its own sheet for the student to type their comments.
  64. This is the empty of results spreadsheet the student receives. This sheet shows the global view of all tests. Help is provided with 1. a small step by step user guide, 2. cells that must be filled contain what is expected in terms of contents, 3. values that are computed are explained for both how they are computed and how to analyze then, and 4. a specific sheet contains all information in text. Each of the 5 test has also its own sheet for the student to type their comments.
  65. This is the empty of results spreadsheet the student receives. This sheet shows the global view of all tests. Help is provided with 1. a small step by step user guide, 2. cells that must be filled contain what is expected in terms of contents, 3. values that are computed are explained for both how they are computed and how to analyze then, and 4. a specific sheet contains all information in text. Each of the 5 test has also its own sheet for the student to type their comments.
  66. This is the empty of results spreadsheet the student receives. This sheet shows the global view of all tests. Help is provided with 1. a small step by step user guide, 2. cells that must be filled contain what is expected in terms of contents, 3. values that are computed are explained for both how they are computed and how to analyze then, and 4. a specific sheet contains all information in text. Each of the 5 test has also its own sheet for the student to type their comments.
  67. The student pasts the results into the spredsheet that compute some cognitive and metacognitive performance indicators and draws 2 graphs the first one being...
  68. The student pasts the results into the spredsheet that compute some cognitive and metacognitive performance indicators and draws 2 graphs the first one being...
  69. The student pasts the results into the spredsheet that compute some cognitive and metacognitive performance indicators and draws 2 graphs the first one being...
  70. The student pasts the results into the spredsheet that compute some cognitive and metacognitive performance indicators and draws 2 graphs the first one being...
  71. The spectral distribution of answers. On the why axis numbers of answers are plotted. On the EX axis are plotted from left to right the incorrect answers with their associated confidence from 100% (written -100) down to zero. Then there is a bar for the number of question without answers. Finally the correct answers are plotted with their associated confidence from 0% up to 100%. How should the students interpret this graph? Jans has based her first idea based on a paper from...
  72. The spectral distribution of answers. On the why axis numbers of answers are plotted. On the EX axis are plotted from left to right the incorrect answers with their associated confidence from 100% (written -100) down to zero. Then there is a bar for the number of question without answers. Finally the correct answers are plotted with their associated confidence from 0% up to 100%. How should the students interpret this graph? Jans has based her first idea based on a paper from...
  73. The spectral distribution of answers. On the why axis numbers of answers are plotted. On the EX axis are plotted from left to right the incorrect answers with their associated confidence from 100% (written -100) down to zero. Then there is a bar for the number of question without answers. Finally the correct answers are plotted with their associated confidence from 0% up to 100%. How should the students interpret this graph? Jans has based her first idea based on a paper from...
  74. The spectral distribution of answers. On the why axis numbers of answers are plotted. On the EX axis are plotted from left to right the incorrect answers with their associated confidence from 100% (written -100) down to zero. Then there is a bar for the number of question without answers. Finally the correct answers are plotted with their associated confidence from 0% up to 100%. How should the students interpret this graph? Jans has based her first idea based on a paper from...
  75. The spectral distribution of answers. On the why axis numbers of answers are plotted. On the EX axis are plotted from left to right the incorrect answers with their associated confidence from 100% (written -100) down to zero. Then there is a bar for the number of question without answers. Finally the correct answers are plotted with their associated confidence from 0% up to 100%. How should the students interpret this graph? Jans has based her first idea based on a paper from...
  76. The spectral distribution of answers. On the why axis numbers of answers are plotted. On the EX axis are plotted from left to right the incorrect answers with their associated confidence from 100% (written -100) down to zero. Then there is a bar for the number of question without answers. Finally the correct answers are plotted with their associated confidence from 0% up to 100%. How should the students interpret this graph? Jans has based her first idea based on a paper from...
  77. The spectral distribution of answers. On the why axis numbers of answers are plotted. On the EX axis are plotted from left to right the incorrect answers with their associated confidence from 100% (written -100) down to zero. Then there is a bar for the number of question without answers. Finally the correct answers are plotted with their associated confidence from 0% up to 100%. How should the students interpret this graph? Jans has based her first idea based on a paper from...
  78. The spectral distribution of answers. On the why axis numbers of answers are plotted. On the EX axis are plotted from left to right the incorrect answers with their associated confidence from 100% (written -100) down to zero. Then there is a bar for the number of question without answers. Finally the correct answers are plotted with their associated confidence from 0% up to 100%. How should the students interpret this graph? Jans has based her first idea based on a paper from...
  79. Darwin Hunt (1993) suggested to distinguish between three types of knowledge situations in which a person can be in relation to a piece of content : “misinformed, uninformed, informed”.
  80. Darwin Hunt (1993) suggested to distinguish between three types of knowledge situations in which a person can be in relation to a piece of content : “misinformed, uninformed, informed”.
  81. Darwin Hunt (1993) suggested to distinguish between three types of knowledge situations in which a person can be in relation to a piece of content : “misinformed, uninformed, informed”.
  82. Darwin Hunt (1993) suggested to distinguish between three types of knowledge situations in which a person can be in relation to a piece of content : “misinformed, uninformed, informed”.
  83. Based on Hunt (1993) suggestion Jans adapted the spectral distribution She also changed the namer of the 3 types of knowledge to allow students to understand in an easier way into...
  84. Based on Hunt (1993) suggestion Jans adapted the spectral distribution She also changed the namer of the 3 types of knowledge to allow students to understand in an easier way into...
  85. Based on Hunt (1993) suggestion Jans adapted the spectral distribution She also changed the namer of the 3 types of knowledge to allow students to understand in an easier way into...
  86. Based on Hunt (1993) suggestion Jans adapted the spectral distribution She also changed the namer of the 3 types of knowledge to allow students to understand in an easier way into...
  87. Based on Hunt (1993) suggestion Jans adapted the spectral distribution She also changed the namer of the 3 types of knowledge to allow students to understand in an easier way into...
  88. Based on Hunt (1993) suggestion Jans adapted the spectral distribution She also changed the namer of the 3 types of knowledge to allow students to understand in an easier way into...
  89. 3 types. This was ok but we thaught that the zone from -50 to +50 was really wide and so we used what Leclercq...
  90. 3 types. This was ok but we thaught that the zone from -50 to +50 was really wide and so we used what Leclercq...
  91. 3 types. This was ok but we thaught that the zone from -50 to +50 was really wide and so we used what Leclercq...
  92. define, keeping the two extreme zone but adding unawarness where knowledge progress are needed and mid-knowledge where the answers are right but progress in metacognitive judgment are needed.
  93. define, keeping the two extreme zone but adding unawarness where knowledge progress are needed and mid-knowledge where the answers are right but progress in metacognitive judgment are needed.
  94. define, keeping the two extreme zone but adding unawarness where knowledge progress are needed and mid-knowledge where the answers are right but progress in metacognitive judgment are needed.
  95. define, keeping the two extreme zone but adding unawarness where knowledge progress are needed and mid-knowledge where the answers are right but progress in metacognitive judgment are needed.
  96. define, keeping the two extreme zone but adding unawarness where knowledge progress are needed and mid-knowledge where the answers are right but progress in metacognitive judgment are needed.
  97. define, keeping the two extreme zone but adding unawarness where knowledge progress are needed and mid-knowledge where the answers are right but progress in metacognitive judgment are needed.
  98. define, keeping the two extreme zone but adding unawarness where knowledge progress are needed and mid-knowledge where the answers are right but progress in metacognitive judgment are needed.
  99. define, keeping the two extreme zone but adding unawarness where knowledge progress are needed and mid-knowledge where the answers are right but progress in metacognitive judgment are needed.
  100. define, keeping the two extreme zone but adding unawarness where knowledge progress are needed and mid-knowledge where the answers are right but progress in metacognitive judgment are needed.
  101. We also asked our student to comment a second graph
  102. the distance between the ideal realism line and the reached score in the 40% class
  103. the distance between the ideal realism line and the reached score in the 40% class
  104. the distance between the ideal realism line and the reached score in the 40% class