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Effects of feedback conditions for
               an online algebra tool

                          Christian Bokhove
                               Paul Drijvers
                   Fisme, Utrecht University

                                   ICTMT10
                              5-8 July 2011

1
Background

     Christian Bokhove
      12 yr Teacher maths/ict secondary school




     St. Michael College, Zaandam, Netherlands
     Phd Dudoc
      www.dudocprogramma.nl
     Supervisors Paul Drijvers &
      Jan van Maanen


2
Problem statement


     Transition secondary  higher education
       Lack of Algebraic expertise?
       Conceptual understanding & Basic skills
       „Math wars‟
       Entry exams
     Use of ICT
       “Use to learn” vs. “Learn to use”
       Position statement NCTM (2008): ICT can be a
        valuable asset
       Potential of ICT for mathematics




3
Theoretical framework


     Algebraic expertise
     Formative assessment
       Black & Wiliam:
       Formative: assessment for learning
       Summative: assessment of learning
     Feedback
       Hattie & Timperley
       Types




4
Algebraic expertise




    •   Arcavi
    •   Kop & Drijvers
    •   Pierce & Stacey
    •   (Structure sense,
        e.g. Hoch & Dreyfus)


5
Study design


    Cyclical design

    1. Pre-cycle: what tool with what characteristics?
    2. Cycle 1: can it work?
    3. Cycle 2: in what way can it work?
    4. Cycle 3: does it work and why does it work?




6
Design research


    Cyclic design

    1. Pre-cycle: what tool with what characteristics?
    2. Cycle 1: can it work?
    3. Cycle 2: in what way can it work?
    4. Cycle 3: does it work and why does it work?




7
Setup of third cycle

     324 students from 9 schools (N=324)
      6vwo wiskunde B
     Intervention 6 clock hours in 6 parts
     Data collection
        Scores of paper
         pre-post tests
        Scores and logs
        Questionnaires




8
Design principles


    Design principles concerning feedback:
    1. Crises
    2. Formative scenarios
       (Timing and fading)
    3. Elaborate feedback


    In this presentation I will only touch on 1 & 2
    and focus on the results for the third principle.




9
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, ….




10
Design principle: formative scenarios




      Hattie and Timperley
      Timing and fading (Renkl et al)




11
Design principle: elaborate feedback


      Black and William (1998)
      Assessment for learning
      Several feedback types
       (Hattie and Timperley: FT, FP, FR, FS)




12
“Algebra with Insight”
      Digital mathematical environment




     http://www.fi.uu.nl/dwo/voho , developer: Peter Boon

13
IDEAS



                                           General
                                           characteristics


                                             Diagnostic
                                           messages


                                               Rewrite
                                           rules


                                                Buggy
                                           rules


     IDEAS: webservice by Jeuring et al.

14
IDEAS – stepwise – condition c1




15
IDEAS – buttons – condition c2




16
Results for elaborate feedback

      Significant difference between the feedback
       conditions when we look at the score for d1
       (U=7680.00, p<0.001, r=-.321) with
       condition c2 scoring higher than condition
       c1.
      When considering the number of
       attempts, this was significantly higher for
       feedback condition c1 (Mdn=126.00)
       (without extra buttons) than for feedback
       condition c2
       (Mdn=105.00), U=9904.50, p<.001, r=.202
       .

17
Cases




18
Cases – stepwise feedback (CLIP)




               Browser version
19
Cases




20
Cases




21
Cases – hints and solve (CLIP)




              Browser version
22
Conclusion


      Condition c2 with self-regulatory feedback
       scores better, less attempts.
      Task-related and self-regulatory (FT and FR)
       feedback can be used in a formative way for
       the learning of algebra. Students can use
       the feedback to overcome difficulties and
       check whether they are on the correct
       solution path or not.




23
Future?




               we
               b
24
Questions/discussion

      Use of feedback. When, what, how?
      Insight & skills. When is there understanding?
      Qualitative & Quantitative research. Bridge?
      Design research & Effectstudies. Cooperate?
      Methodology: how „control‟ work at home?

     Christian Bokhove
     Twitter: http://twitter.com/cb1601ej
     cbokhove@gmail.com
     www.fi.uu.nl/~christianb
     www.fi.uu.nl/dwo/en and www.fi.uu.nl/dwo/voho
     Project: www.algebrametinzicht.nl


25

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Ictmt10 050711 v2s

  • 1. Effects of feedback conditions for an online algebra tool Christian Bokhove Paul Drijvers Fisme, Utrecht University ICTMT10 5-8 July 2011 1
  • 2. Background  Christian Bokhove 12 yr Teacher maths/ict secondary school  St. Michael College, Zaandam, Netherlands  Phd Dudoc www.dudocprogramma.nl  Supervisors Paul Drijvers & Jan van Maanen 2
  • 3. Problem statement  Transition secondary  higher education  Lack of Algebraic expertise?  Conceptual understanding & Basic skills  „Math wars‟  Entry exams  Use of ICT  “Use to learn” vs. “Learn to use”  Position statement NCTM (2008): ICT can be a valuable asset  Potential of ICT for mathematics 3
  • 4. Theoretical framework  Algebraic expertise  Formative assessment  Black & Wiliam:  Formative: assessment for learning  Summative: assessment of learning  Feedback  Hattie & Timperley  Types 4
  • 5. Algebraic expertise • Arcavi • Kop & Drijvers • Pierce & Stacey • (Structure sense, e.g. Hoch & Dreyfus) 5
  • 6. Study design Cyclical design 1. Pre-cycle: what tool with what characteristics? 2. Cycle 1: can it work? 3. Cycle 2: in what way can it work? 4. Cycle 3: does it work and why does it work? 6
  • 7. Design research Cyclic design 1. Pre-cycle: what tool with what characteristics? 2. Cycle 1: can it work? 3. Cycle 2: in what way can it work? 4. Cycle 3: does it work and why does it work? 7
  • 8. Setup of third cycle  324 students from 9 schools (N=324) 6vwo wiskunde B  Intervention 6 clock hours in 6 parts  Data collection  Scores of paper pre-post tests  Scores and logs  Questionnaires 8
  • 9. Design principles Design principles concerning feedback: 1. Crises 2. Formative scenarios (Timing and fading) 3. Elaborate feedback In this presentation I will only touch on 1 & 2 and focus on the results for the third principle. 9
  • 10. 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, …. 10
  • 11. Design principle: formative scenarios  Hattie and Timperley  Timing and fading (Renkl et al) 11
  • 12. Design principle: elaborate feedback  Black and William (1998)  Assessment for learning  Several feedback types (Hattie and Timperley: FT, FP, FR, FS) 12
  • 13. “Algebra with Insight” Digital mathematical environment http://www.fi.uu.nl/dwo/voho , developer: Peter Boon 13
  • 14. IDEAS General characteristics Diagnostic messages Rewrite rules Buggy rules IDEAS: webservice by Jeuring et al. 14
  • 15. IDEAS – stepwise – condition c1 15
  • 16. IDEAS – buttons – condition c2 16
  • 17. Results for elaborate feedback  Significant difference between the feedback conditions when we look at the score for d1 (U=7680.00, p<0.001, r=-.321) with condition c2 scoring higher than condition c1.  When considering the number of attempts, this was significantly higher for feedback condition c1 (Mdn=126.00) (without extra buttons) than for feedback condition c2 (Mdn=105.00), U=9904.50, p<.001, r=.202 . 17
  • 19. Cases – stepwise feedback (CLIP) Browser version 19
  • 22. Cases – hints and solve (CLIP) Browser version 22
  • 23. Conclusion  Condition c2 with self-regulatory feedback scores better, less attempts.  Task-related and self-regulatory (FT and FR) feedback can be used in a formative way for the learning of algebra. Students can use the feedback to overcome difficulties and check whether they are on the correct solution path or not. 23
  • 24. Future? we b 24
  • 25. Questions/discussion  Use of feedback. When, what, how?  Insight & skills. When is there understanding?  Qualitative & Quantitative research. Bridge?  Design research & Effectstudies. Cooperate?  Methodology: how „control‟ work at home? Christian Bokhove Twitter: http://twitter.com/cb1601ej cbokhove@gmail.com www.fi.uu.nl/~christianb www.fi.uu.nl/dwo/en and www.fi.uu.nl/dwo/voho Project: www.algebrametinzicht.nl 25