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Developing an Engagement Score Algorithm for Virtual Patient Cases

This study aims to develop and validate a computer-generated dynamic engagement score based on student interactions with virtual patient cases. The goal is to understand the factors that promote cognitive engagement in virtual learning environments.

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Developing an Engagement Score Algorithm for Virtual Patient Cases

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  1. Engagement 2.0 Bryant Patten Director of Learning and Technology MedU

  2. MedU

  3. Disclosure Employee of MedU

  4. By engagement we mean: " the extent to which students are willing and able to take on the learning task at hand.” or "the learner actively engages in cognitive processes for learning.” Our focus is cognitive engagement

  5. History pre 2013

  6. Why

  7. Engagement Score Algorithm V1.0 2013

  8. Summary Statement / Machine Learning

  9. Development and Validation of an Engagement Metric for Virtual Patient Cases Norm Berman, MD, Anthony Artino, PhD Geisel School of Medicine at Dartmouth and Uniformed Services University of the Health Sciences BACKGROUND Isolated online environments require learner autonomy and may not inherently foster learner cognitive engagement. Many clerkship directors are using time on case as an indicator of engagement, but empirical evidence suggests this approach is not optimal. Little is known about the factors in a virtual patient (VP) case that will promote cognitive engagement, which we define as “the degree to which students are willing and able to take on the learning task at hand.” OBJECTIVES To develop and validate a computer-generated dynamic engagement score based on student interactions with MedU VP cases. BACKGROUND METHODS RESULTS OBJECTIVES Engagement CONCLUSIONS IMPLICATIONS REFERENCES Artino AR. Think, feel, act: motivational and emotional influences on military students online academic success. J Comput High Educ (2009) 21:146–166 Berman NB, Fall LH, Smith S, Levine DA, Maloney CG, Potts M, Siegel B, Foster-Johnson L: Integration strategies for using virtual patients in clinical clerkships. Acad Med 2009, 84(7):942–949. REFERENCES

  10. Response from educators

  11. Response from students

  12. Performance of students

  13. Engagement Score Algorithm V1.5

  14. Concerns Students gaming system Allowing faculty full access via publication Tension between faculty & students requiring engagement vs spying on me

  15. Engagement Score Algorithm V2.0

  16. Summary Statement / Machine Scoring V2.0

  17. Possible Future Directions

  18. tin can

  19. IMS Caliper Analytics™ Interoperability Standards Reach Candidate Final Release Status - May 6, 2015

  20. bryant.patten@med-u.org http://www.med-u.org

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