Not Everyone Writes Good Examples
But Good Examples Can Come From Anywhere

 

HCOMP 2019

 

Shayan Doroudi, Ece Kamar, and Emma Brunskill

Can we use these to help other learners learn?

Learners Naturally Generate Artifacts

Peer review

Workers Naturally Generate Artifacts

Can we use these to help other workers learn?

Want workers to become more skilled

No existing curriculum

Tasks changing over time

Two Ways to View This Talk

Training crowdworkers to do complex tasks

Exploring the efficacy of learner-generated work in teaching other learners

Learning for Crowdworkers

Crowdsourcing for Learners

Learnersourced Content Creation

  • Learnersourcing: “Crowdsourcing with learners as the crowd”
    • Using work done by crowds of learners to help improve the educational experience of future learners [Kim et al., 2015].

  • Prior work has shown crowdsourcing can be used to create effective content---in some cases on par with expert content [Aleahmad et al. 2009; Williams et al., 2016; Whitehill & Seltzer, 2017].
  • However, we are interested in passive learnersourcing:
    using artifacts that learners naturally generate.

Product Comparison Task

Example Collection

56
examples collected

47
examples collected

Worker Examples

Experiment 1

Randomly Selected

Experiment 1: Results

No sig. differences between conditions

Experiment 1: Results

No sig. differences between conditions

Experiment 1: Results

No sig. differences between conditions

Experiment 2

3 Highest Quality Examples

Experiment 2: Results

Sig. difference between two good examples and control on Task A'
(Mann-Whitney U test, \(p < 0.01\))

Experiment 2: Results

Sig. difference between two good examples and control on Task A'
(Mann-Whitney U test, \(p < 0.01\))

Experiment 2: Results

Sig. difference between two good examples and control on Task A'
(Mann-Whitney U test, \(p < 0.01\))

Top Three Examples A

Top Three Examples B

Is Quality all that Matters?

Conclusion

Future direction: use machine learning models to curate better solutions

Our results suggest other features beyond quality may help identify more pedagogically effective examples.

and to learn more about how peer work leads to learning.

Worker's work can be effectively presented as examples to future works, provided the work is sufficiently high quality

Learnersourced Content as a Tool for Scientific Discovery

Peer Work

ML
Model

Can lead to new insights about how people learn.

Length

Spacing

Word choice

What makes an example
pedagogically effective?

Quality

for each learner/worker

Acknowledgements

In the past, I have made no secret of my disdain for

Chef Gusteau’s famous motto: ‘Anyone can cook.’ But I realize,

only now do I truly understand what he meant. Not everyone can

become a great artist, but a great artist can come from anywhere.

- Anton Ego, Ratatouille

This research was supported in part by a Google grant and a Microsoft Research Faculty Fellowship.

Product Comparison Task Rubric

5. It's hard to imagine a more useful resource for someone to decide which product to buy. The review appears to contain no factual errors.

4. The review would help you decide which product is best, but could have had some more information or could have been structured better.

3. The review would be helpful, but you would need to do more research to decide which product to buy.

2. The review has some distinctions between the two products, but you basically need to do your own research from scratch to decide which product to buy.

1. The review is misleading or does not really contain useful information (e.g., contains a major factual error that could result in purchasing the wrong product).

HCOMP 2019

By Shayan Doroudi