Presentation MaSE 18-102012

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Using ICT for algebraic expertise Christian Bokhove UoS, School of Education MaSE meeting October 18th, 2012 xkcd.com

Transcript of Presentation MaSE 18-102012

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Using ICT for algebraic expertise

Christian BokhoveUoS, School of Education

MaSE meetingOctober 18th, 2012

xkcd.com

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• Christian Bokhove

• From 1998-2012 teacher maths, computer science, head of ICT secondary school NL

• National projects maths+ict at FreudenthalInstituut, Utrecht University

• PhD, december 2011www.dudocprogramma.nl

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Skills..…

Rationale

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But even if students do something right….

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Many other things can go wrong…

… insight…

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Meanwhile…

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ICT gebruik

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Can we study the potential of usingICT to address skills and insight?

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In what way can the use of ICT support acquiring, practicing and assessing relevant mathematical skills

Assessment- Formative (for) v Summative (of)- Feedback

(Black & Wiliam, 1998)

ICT tool use- Instrumentation- Task, technology, theory

(Chevallard, 1991)- Teacher, student- TPACK

Algebraic expertise- Basic skills- Symbol Sense

(Arcavi, 1994)- Transition sec.ed. To higher ed.Christian Bokhove

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Design of the study

Cyclical design:

Phase 1: What software with what characteristics?

Phase 2: Could it work?

Phase 3: In what way could it work?

Phase 4: Does it work and why?

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Phase 1: software characteristics

Results externally validated instrument.Eerst formulate what we need, then look forsoftware.Selected criteria:

– Storage of student results;– In-between steps when solving equations;–Authoring;– Intuitive user interface;–60+ tools tried and evaluated;

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Phase 2

Qualitative analysis

AlgebraQualitysoftware

Feedback

6 thinking-aloud-sessions17/18 yr olds

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Student can choose own strategy..

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Student can choose own strategy..also wrong ones

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Phases 3 and 4

Digital intervention with:RandomizationFeedbackUsing student work forclassroom discussions“Crises”

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www.algebrametinzicht.nl

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Phase 4• 324 students, 9 schools

• Module 6 hours in 6 parts

• Differences in deployment

• Data collection

– Scores pre/post for both skills and symbol sense

– Digital scores and logfiles

– Questionnaires

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Change in appearance

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Design Principles

• Store student results

• Formative scenarios

• Crises

• Feedback

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Store student results

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Design principle: formative scenarios

• Hattie and Timperley

• Timing and fading (Renkl et al)

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Design principle: crises

John Keats

“Failure is, in a sense, the highway to success”

• Crises of learning (Van Hiele)

• Productive failure (Kapur)

• Impasse (VanLehn)

• Doll, Piaget, VanLehn, ….

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Before a crisis task

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Students work towards…

http://msmcculloughsmathclass.blogspot.com/2010/12/quadratic-formula.html

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But this fails in a crisis task

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Addressing the crisis

Feedback

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Design principle: feedback• Black and William (1998)

• Assessment for learning

• Several feedback types (Hattie and Timperley: FT, FP, FR, FS)

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Feedback per step

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Getting hints and worked solutions

IDEAS feedback (Jeuring et al)

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Results

Indications that crises work

Feedback on task (FT) and feedback forself-regulation (FR) work

Improvement in performance

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Min Max Mdn SD N

symsensepre -6.00 3.00 -1.00 2.35 318

pre-test 2.00 98.00 51.00 21.37 318

d1-d4 0.00 100.00 97.25 21.08 311

d5 0.00 106.00 48.50 31.89 254

d6 1.00 100.00 68.00 28.44 223

post-test 10.00 100.00 82.00 15.46 292

symsensepost -5.00 3.00 1.00 1.50 292

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Min Max Mdn SD N

symsensepre -6.00 3.00 -1.00 2.35 318

pre-test 2.00 98.00 51.00 21.37 318

d1-d4 0.00 100.00 97.25 21.08 311

d5 0.00 106.00 48.50 31.89 254

d6 1.00 100.00 68.00 28.44 223

post-test 10.00 100.00 82.00 15.46 292

symsensepost -5.00 3.00 1.00 1.50 292

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Better performance but do we knowwhy (predictors)?

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Multilevel analysis

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Predictors

• Pre-knowledge

• Relatively more time spent on parts 5 and 6

• Attitude towardsmaths

No predictors

• Gender

• ICT knowledge

• More time spent on whole module

• More time spent at home or at school

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Looking forward…

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Quantitative AND Qualitative

• Complementary

• Qualitative

– Insight processes

– Why does it work?

– What can work?

• Quantitative

– Effectiveness

– Does it work?

- Grounded theory- Case study- 1 to 1 sessions- Smallscale- Atlas-TI

- Multilevel analysis- Learning analytics- Datamining techniques

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Theory AND Practice

• www.algebrametinzicht.nl

• Practice learns from research

– What could work?

– How does it work?

– Validated intervention

• Theory learns from practice

– Observe best practices

Photo’s classroom experiments

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New developments

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Questions

• In what way are digital tools best integrated intoclassroom practice?

• What characteristics does a digital tool need?• What does this mean for students and teachers?• What are the differences between maths with pen-

and-paper and maths with digital tools?• What do recent developments mean for Maths

education– Big Data– Tablets: handwriting recognition– Khan academy– Math Wars