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Tecfa Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University Tecfa

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Page 1: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

Tecfa

Epistemic  Complexity  as a measure of inquiry progress in science education ?

Dr. François Lombard

Prof Dr. Mireille Betrancourt

TECFA – Geneva University

Tecfa

Page 2: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaRationale• “Educational gains”

– Strict statistical significance but… all interventions have an effect (Hattie 2008)

• Poor scientific understanding of students (PISA,

Rocard, 2006)

• Relevance of what is measured– “the need to develop appropriate and feasible assessments

that specifically target inquiry to track changes” Capps, D. Crawford, D. (2013)

• Process measure vs Curricular assessment– What is measured as progress…

• Comparison subject-independent

Page 3: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaEpistemic complexity• Epistemic complexity (Hakkarainen, K. 2003, Zhang,

J., Scardamalia, M. 2007)

≠ simple/ elaborate descriptions (facts)…

-> simple / elaborated explanations

• Current biology paradigm • Explanations of underlying mechanisms (Morange, P.

2003)

– Higher level cognitive skills(Bloom, 1956)

Page 4: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaResearch Design• Part of a larger (PhD) research• Develop IBL design (~10 years) • Validate design :

– School : adequate curricular / results /

– Relevant to biology paradigm – In-depth scientific understanding

• Analyze design : DBR– Analyze iterations of design / holistic approach

– Conceptualization– -> Relevant variables

– Validated Design Rules

Page 5: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

Tecfa« In other courses, you wait a few moments and the teacher gives the answer, so you write it down and don’t do the effort of thinking, and finally you must redo all the work of understanding at home. '’ A student during the evaluation of the activity 2006

Page 6: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaInquiry Based Learning• How does the teacher ensure students

adress the « good » questions while having them keep ownership of Q°– Under press in JBE

• What scaffolding / ressources access / social structure guides towards in-depth scientific knowledge ?

• Findings not discussed here – 34 Design rules – Synthetic abstract model of IBL.

Page 7: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaResearch Q° • What measure of student understanding

Relevant / Content independent ?

Today :

“Can epistemic complexity be used as a measure of inquiry progress in science education ?”

Page 8: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaThe design we analyzed

Page 9: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaSample• 19 year old final higher secondary

school students N = 61 • Wiki records 106 words– Questionnaires • End of year• 1 year later at university

• 4 years 2006-2010 • Full year inquiry• 12-16 students / 4 groups• Normal time, curriculum, exams

T=R !

Page 10: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaCoding method– Students write their understanding in a shared wiki space.

• Documents critical for student exams

– One final Wiki document typically 200 EC items• 3-4 weeks, 3000 words 3-4 students

– Coding of all units of meaning within student text into 4 categories of EC

– Dependent on writing of students – assignments -> measure possible at a limited number of moments

– Not double coding.

Page 11: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaCoding scheme : 1/2• 1 Unelaborated facts: – Description of terms, phenomena, or experiences

without elaboration.

• 2 Elaborated facts: – Elaboration of terms, phenomena, or experiences.

Zhang, J., M. Scardamalia, M. Lamon, R. Messina, and R. Reeve. "Socio-Cognitive Dynamics of Knowledge Building in the Work of 9-and 10-Year-Olds." Educational Technology Research and Development 55, no. 2 (2007): 117-45. Appendix B pp 142-143

“Antigen : Any substance against which antibodies can beproduced. Also called Immunoglobulin””

“Antibodies are composed of two heavy chains and two light assembled to form a Y. These chains are joined by disulfide very flexible bridges (= hinge zones on fig.A) between the two heavy chains and between each light chain and heavy chain.”

Page 12: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaCoding scheme 2/2• 3 Unelaborated explanations:

– Reasons, relationships, or mechanisms mentioned without elaboration.

• 4 Elaborated explanations: – Reasons, relationships, or mechanisms elaborated.

Zhang, J., M. Scardamalia, M. Lamon, R. Messina, and R. Reeve. "Socio-Cognitive Dynamics of Knowledge Building in the Work of 9-and 10-Year-Olds." Educational Technology Research and Development 55, no. 2 (2007): 117-45. Appendix B pp 142-143

How are the correct type of lymphocytes activated by cytokines, i.e. what is double activation?Double activation. Certain T8 responses require T4 : T8 recognizing antigens on weakly co-stimualtory cells can only be activated in presence of T4 linked to the same APC. This happens mainly by way of a T4 recognizing an antigen on an activated APC inducing high levels of co-stimulatory activity on the APC, which in turn activates T8 to produce it’s own IL-2. (Translated from french) » 

Page 13: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

Tecfa Investigation progress

0 10 20 30 40 50 60 70 800

10

20

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70

0

5

27

50

03

44

55

0

15

47

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1 2

60

55

Epistemic complexity over investigation time for one group's text (end 2006)

Unelaborated facts (UF) Elaborated facts (EF)

Unelaborated Explanations (UE) Elaborated Explanations (EE)

Inquiry progression : version number

Item

co

un

t

Page 14: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

Tecfa

Inquiry progression / Duration needed

1 10 44 9427, janvier 12h 27, janvier : 14h20 5,Février : 10h03 14, mars : 9h22

0

50

100

150

200

250

0 5 729

0

2432

68

0

13

25

76

0

2

9

50

Epistemic complexity during inquiry (2007)

Inquiry progression: document version / date (2007)

item

co

ou

nt

22.4%

34.1%

30.5%

13.0%

Page 15: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaYearlong progress / duration

"Sept. 2008" "Mar. 2009"0

20

40

60

80

100

120

140

160

180

200

40 40

32

7736

1719

54

Fig. 3 : Epistemic complexity begin end year for one group (2008-2009)

Elaborated Explanations (EE)

Unelaborated Explanations (UE)

Elaborated Facts (EF)

Unelaborated Facts (UF)

Period of year

Item

nu

mb

er i

n f

inal

do

cum

ent

Page 16: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaCompare implementations

Year 2005-6

Year 2006-7

0 10 20 30 40 50 60 70 800

10

20

30

40

50

60

70

05

27

50

03

44

55

0

15

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60

1 2

6055

Numéro de version

0 10 20 30 40 50 60 70 80 90 1000

10

20

30

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60

70

80

0 29

50

0

13

25

76

0

24

32

68

05 7

29

Page 17: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaInform teacher’s intervention

0 10 20 30 40 50 60 70 800

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20

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60

70

0

5

27

50

03

44

55

0

15

47

60

1 2

60

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Epistemic complexity over investigation time for one group's text (end 2006)

Unelaborated facts (UF) Elaborated facts (EF)

Unelaborated Explanations (UE) Elaborated Explanations (EE)

Inquiry progression : version number

Item

co

un

t

Page 18: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

Tecfa

Information to discuss phases

0 10 20 30 40 50 60 70 80 90 1000

1020304050607080

0 29

50

0

13

25

76

0

2432

68

05 7

29

Epistemic complexity over investigation time for one group's text (end 2007)

No

mb

re d

'item

s

0 10 20 30 40 50 60 70 80 90 10002468

101214161820

Question count over inquiry time for one group's text (end 2007)

Qu

esti

on

co

un

t

0 10 20 30 40 50 60 70 80 90 1000

500

1000

1500

2000

2500

3000

2572

Wordcount over inquiry time for one group's text (end 2007)

Wo

rd c

ou

nt

Page 19: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaPotentials and limits– Relevant to biology • Coherent with scientific paradigm

– Process variable : informs progression– Subject-independant – Comparisons of implementations,

interventions, designs etc.– Teacher training : discuss learning effects– - routine class use : simpler version ? – - acceptance in research : not validated– - acceptance in schools : not aligned with

frequent assessment.

Page 20: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

TecfaAcknowledgements : • Advisor Daniel K. Schneider • With the support of Département de

l’Instruction Publique Genève, DGPO– TECFA , IUFE University of Geneva– Collège Calvin

Page 21: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

Tecfa

Thankyou for …For your attention

[email protected]

Page 22: Epistemic Complexity as a measure of inquiry progress in science education ? Dr. François Lombard Prof Dr. Mireille Betrancourt TECFA – Geneva University

Tecfa

Define scientific understanding• Knowledge justified (Toulmin)

– Based on data

– Aware of methods and assumptions -> limitations

– Debated with community• Subjected to peer-reviewing

• “Deepness” of scientific understanding

• Knowledge is within student– To understand scientifically

≠ about science

– Scientific understanding : potential explanation (of mechanism)