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Open community authoring of targeted worked example problems. Putting the world to work for ITS:. Aleahmad, Aleven and Kraut. Current situation in tutoring systems. Development is very laborious (e.g. estimates of 200-300 hrs for 1 hr instruction) Small groups with much effort per person

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Putting the world to work for its

ITS 2008

Open community authoring of targeted worked example problems

Putting the world to work for ITS:

Aleahmad, Aleven and Kraut


Current situation in tutoring systems

Current situation in tutoring systems

  • Development is very laborious

    • (e.g. estimates of 200-300 hrs for 1 hr instruction)

  • Small groups with much effort per person

  • Distribute the development

    • Open source

    • Open content

  • How to make a “Wikipedia” for ITS?


Wikipedia not the right model

Wikipedia not the right model


Towards a collaborative community

Towards a collaborative community


Broad research questions

Broad research questions

  • If you make it, will they come?

  • Can the wheat be separated from the chaff?

  • How to structure and support authoring?

    • For quality

    • For diversity to engage students

      • Contextualization, personalization, and provision of choices can improve student motivation and engagement in learning (Cordova and Lepper, 1996 )

      • Personalization improves performance gains and even at start (Anand and Ross, 1987; Ku and Sullivan 2002; López and Sullivan 1992)


Overview of the study

Overview of the study

  • Web site where people contribute worked example problems

  • In registering, indicated their professional status

  • Tested a mechanism to increase quality and diversity

    • Asked some authors to target to a specific person

    • Increase their effort?

    • Increase diversity/adaptivity of corpus?


Putting the world to work for its

Task

  • Artifact: Worked example problem

    • Leads to better and more efficient learning when added to interactive tutoring (McLaren et al., 2006; Schwonke et al., 2007)

    • Instruct and foster self-explanation (Renkl and Atkinson, 2002)

    • Customizability – both to the student and the interaction

  • Domain: Pythagorean Theorem

    • Most difficult skill on the Massachusetts Comprehensive Assessment System curriculum standards (ASSISTment data)

    • Diagram drawing difficult to computer generate


Putting the world to work for its

Zack and Slater want to build a bike jump. They have two parts of the ramp constructed but they need to know the length of the final piece of the jump. They have two parts of the ramp built, one is 3 ft long and the other is 4 ft long and they are constructed as shown in the diagram. What is the length of the missing section that Zack and Slater still need to construct?

Problem

Statement

+

Work

Explanation

Solution steps

The unknown is the hypotenus which is represented by c in the equation. Therefore I input both a and b into the equation first. Following the equation I square both of these numbers.

3^2 + 4^2

=

These two numbers are added together first because of the parenthesis.

9 + 16 = 25

Whole worked example

To complete the equation I take the square root of 25 which is five. This problem also demonstrates the common Pythagoras triangle.

Square root of 25 is 5 and this is the solution.


Authoring tool

Authoring tool


Open authoring hypotheses

Open authoring hypotheses

  • H1: Identifying the good from the bad contributions is easy. We expect that all contributions are good, easily fixed, or easily filtered.

  • H2: Math teachers submit the best contributions.


Student profiles

Student profiles

  • Goal of realism

  • Varied on social and cognitive attributes

  • 16 profiles

    • 4 Hobbies x 4 Homes

    • 4 realistic skill profiles distributed

    • 2 genders distributed


Profile hypotheses

Profile hypotheses

Profiles in experimental condition versus generic control condition

  • H3: Student profiles lead to tailored contributions.

  • H4: Student profiles increase the effort of authors.

  • H5: Student profiles lead to higher quality contributions.


Participants and contributions

Participants and contributions

  • Participation URL posted on web sites (educational and otherwise) offering $4-12

  • 1427 people registered, of which 570 used the tool to submit 1130 contributions

  • After machine filtering, 281 participants were left having submitted 551 contributions


Machine filtered

Machine filtered

Some have just a worthless drawing.

Or nothing at all.


Quality ratings

Quality ratings

Human experts rated the machine vetted submissions


Quality rating examples

Quality rating examples

  • Excellent statement with poor solution (1124)

  • Worthy statement with excellent solution (337)


Open authoring

Open authoring


Quality of pool

Quality of pool


Quality by contributor expertise

Quality by contributor expertise

Statement quality

Solution quality


Student profiles1

Student profiles


Tailoring to social attributes

Tailoring to social attributes

Probabilities of authoring matching an attribute

†p<.10 *p<.05 **p<.001


Putting the world to work for its

For profile with a home outside town


Putting the world to work for its

For profile who lives in tall apartment building


Tailoring to cognitive attributes

Tailoring to cognitive attributes

Verbal skill in profile

General math skill in profile

Correspondence of verbal and math skill levels with the authoring interface


Putting the world to work for its

Shakespeare for profile in “top of English class”


Effects of profiles

Effects of profiles

On effort

On quality

  • Problem statements in profile condition were 25% longer

  • No significant difference in time spent (median 5 each minutes on statement and solution)

  • No main effect of profiles on quality

  • No interaction with teacher status either


Conclusions

Conclusions


Recap of hypotheses

Recap of Hypotheses


Current and future work

Current and future work


Current and future work1

Current and future work


Current and future work2

Current and future work


Acknowledgements

Acknowledgements

  • Thanks to ASSISTment project, Ken Koedinger and Sara Kiesler for data and feedback

  • Work supported by IES and NSF

  • It’s going to take a lot of connected work to build a scalable shared ITS for the world

    • Let’s talk more about how

    • http://OpenEducationResearch.org


Gratis participants

Gratis participants

  • Still 93 submissions from 92 participants

  • Of these 38 submissions from 21 participants pass machine vetting

  • 41% pass rate of machine vetting compared to 49% rate in experiment

  • Not significantly different by Fisher's Exact Test (p=0.16)


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