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Maximize Learning with ASSISTments Platform

Learn about Dr. Neil Heffernan, Andrew Burnett, and Cristina Heffernan's work with ASSISTments platform to enhance student learning and teacher effectiveness. Discover the impact of various experiments and benefits for students. Explore data-driven approaches and success stories.

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Maximize Learning with ASSISTments Platform

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Presentation Transcript

  1. While you wait, use your device

  2. Who is Neil? • Dr. Neil HeffernanAssociate Professor of Computer Science • Co-Director, Learning Sciences & Technologies Graduate Program • Teach For America Teacher • Over 50 Peer-Reviewed Empirical Studies • Writes Grants • Does Research • Invents innovations for ASSISTments

  3. 25 Districts in MA

  4. Who is Andrew? • Andrew Burnett7th Grade Teacher • Has been using ASSISTments for 3 years. • Builds content shared with others. • Homework • Skill Building • Data Driven Benchmarks

  5. Who is Cristina? • Cristina Heffernan • Chief Teacher Trainer, • Co-Founder of ASSISTments • 7 years as Math Teacher • 8 Year as math coach and PD provider • Leads Professional Development • Trains Trainers • Monitors Content • Runs Studies

  6. Homework

  7. Homework The Experiment • Experiment: Correctness feedback and went over homework with the item report. • Control: Entered in test mode, read answers in class the next day. The Results Pre Entering School After Going Over • Control 8% 58% 65% • Experiment 7% 70% 82%

  8. Control Experimental

  9. One Student’s experience Control Experimental

  10. Skill Building with Re-Assessment and Re-Training ARRS

  11. ARRS The Experiment • Experiment: Given practice until 3 right in a row and then continual re-assessment and re-training. • Control: Only practiced until they get 3 right in a row. The Results

  12. Parent Notification Hi Mr. Burnett,  This is a great system.  Do you know if all of the math teachers at Millbury are using this.  I have an older son in 10th at the HS and this would be a good system to keep track of his progress as well.   Thanks,

  13. Parent Notification The Experiment • Experiment: Received an automatic notice each Friday about the results of all the assignments. • Control: Did not receive a notice. The Results • Parents felt more connected (p<.05). • The homework completion rate increased was statistically significant (p<.05).

  14. Quasi-Experimental The Experiment: • Compute gain scores from 6th to 7th grade. • 3 experimental schools with one control. The Results: • Reliable improvement on state tests (.3 standard deviation effect size.) • Big benefit for special education students. • Teacher effect.

  15. Evaluate the Web

  16. Evaluate the Web The Experiment • Experiment: Students randomly get one website or the other randomly. • Do student learn more if we give them the option to see web pages? The Results

  17. Data Driven

  18. Data Driven The Experiments have been done. http://ies.ed.gov/ncee/wwc/practiceguide.aspx?sid=2

  19. Ecosystem

  20. Conclusion

  21. Conclusion http://www.youtube.com/watch?v=hd9oXZoMiN4&feature=player_embedded

  22. North Carolina Trained Principals

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