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The Effects of Virtual Labs and
Cooperative Learning in Anatomy
           Instruction
                Andy Saltarelli, Ph.D.
                       ASSETT
           University of Colorado – Boulder

               William Saltarelli, Ph.D.
             College of Health Professions
             Central Michigan University

                 Cary Roseth, Ph.D.
                College of Education
              Michigan State University


      POD Conference 2012, Seattle, WA
Game Plan

Backstory
(The Partnership)

Story
(The Research)
Backstory – Why Change?
Backstory – Why Change?
Backstory – Why Change?
Backstory – Partnering
Backstory – Partnering

     Practitioner



 Edu Tech   Edu Psy
Backstory – Theory



-Social Interdependence Theory (Deutsch, 1949,
1973; Johnson & Johnson, 1989)
- 40 Years of Research (Johnson & Johnson,
2007):
    - Achievement  .55 (ES)
    - Self-Esteem  .42 (ES)
    - Peer Relationships  .42 (ES)
    - Perspective Taking  .44 (ES)
Backstory

Authentic Pedagogical “problem”

Interdisciplinary Partnership, T&L
Research Support

Theory Testing, Iterative Approach
Story – Human Anatomy
   300 students per semester
   4 credit course
   15 cadaver-based lab sections taught
    by 7 GAs
   1 large lecture and 2 labs per week
   Grade of D, E or Withdrawal ~30%
   Feeder/Weeder Course
Story - Study #1
             Simulated Lab                 Cadaver Lab

               APR Only                      Cadaver
                 Lab           VS            Only Lab


Conclusions:
Results:   Cadaver-only students performed better than APR-only
Explanation: Technology pre-training & student perceptions of
software were poor
Solution: Infuse active learning (e.g., cooperative learning) to
ameliorate observed negative effects of simulation software
Tech Integration Problem
Tech Integration
   ECAR 2012
Tech Integration
            TPACK
(Mishra & Koehler, 2006; tpack.org)
Tech Integration




TPACK UPS Comercial - http://vimeo.com/14182460
Current Study
                 Experimental-control design:
2 Instructional Technology (APR, Cadaver) X 2 Cooperative
                Learning (Jigsaw, No Jigsaw)

                       Jigsaw     Individual

           APR          APR           APR
         Software         +            +
                       Jigsaw      Individual


                       Cadaver      Cadaver
         Cadaver
                           +           +
          Only          Jigsaw     Individual
Method
   Participant Flow
       N = 250 in 15 lab sections randomly to 1 of 4
        conditions
                         Jigsaw       Individual

             APR         4 sections    4 sections
           Software        N=73          N=63



           Cadaver       4 sections    3 sections
            Only           N=71          N=43
Current Study
Jigsaw + APR Software
Current Study
Individual + APR Software
Current Study
Independent Variables
Virtual Labs via Simulation Software       Cooperative Learning via Jigsaw
 Anatomy & Physiology Revealed 3.0 (APR)          (Aronson, 1978, 2011)
Dependent Variable
   Achievement:
       Quiz Grade, 1-Week Retention (6-items; α = .78 )
   Intrinsic Motivation (Ryan, 1982):
       Relatedness (8-items; α = .88), Interest (7-items; α = .92), Value
        (7-items; α = .93)
   Social Interdependence (Johnson & Norem-Hebeisen, 1977):
       Cooperation (7-items; α = .89), Competition (7-items; α = .93),
        Individualism (7-items; α = .86)
   Task-technology fit (Goodhue, 1998):
       Presentation (2-items; α = .94)
Results: Achievement




Result: Students who participated in the jigsaw activity
performed better than those that didn’t on the 1-week
retention quiz. (Wilks's λ=.97, F(1,218) p = .04)
Results: Achievement




Result: No difference between APR and cadaver-only study
on the 1-week retention quiz.
Results: Motivation




Result: Students who participated in the jigsaw activity had
higher motivation* than those who didn’t participate. *F=5.96,
P=.01
Results: Motivation




Result: Students who studied with APR in lab had lower
motivation* than cadaver-only students. *F=28.83, P<.001
Results: Motivation




Result: Results suggest* that the jigsaw activity ameliorated
decreases in motivation observed in the APR group. *Jig x APR
Interaction, F = 6.57, p = .01
Results: Task-technology Fit




Result: Students’ perceptions of task-technology fit was
greater in jigsaw over individual learning. *Wilks's λ=.95, F(1,213) p < .01
Study #2 – Results
Qualitative (Regarding Jigsaw Activity):
•I   liked how I was able to teach and be taught at the same time.
•Iliked teaching my objectives to others. It helped me learn more in
depth.
•Iliked this activity because it allows us to work together more and
receive feedback from each other.
•I
 enjoyed teaching the material to others. It makes it so I have to
master it in order to teach it.
•Thegroup activity helped me get more involved and learn different
ways to study the material.
Conclusions
Jigsaw cooperative learning provides clear advantages
over traditional, individual lab learning methods in
anatomy instruction

Results suggest that jigsaw cooperative learning
ameliorates the initial negative effects of introducing
new virtual software

The positive effects of cooperative learning pedagogy
appear to “spill over” onto students’ perceptions of
technology
Special Thanks
Jim Therrell & the Faculty Center for Innovative
Teaching at Central Michigan University
References
Aronson, E. (1978). The jigsaw classroom. Beverly Hills, CA: Sage.
Aronson, E., & Patnoe, S. (2011). Cooperation in the Classroom: The Jigsaw Method, 3rd Edition (3rd ed.). Pinter & Martin Ltd.
Colella, V. (2000). Participatory simulations: Building collaborative understanding through immersive dynamic modeling. The Journal of the Learning Sciences, 9(4),
471-500.
Correll, D. (2008). For human dissection needs, the body count is low - Los Angeles Times. Retrieved December 11, 2009, from
http://articles.latimes.com/2008/may/26/nation/na-cadavers26
Deutsch, M. (1949). A theory of cooperation and competition. Human Relations, 2, 129–152.
Deutsch, M. (1973). The resolution of conflict. New Haven, CT: Yale University Press.
Garg, A. X., Norman, G. R., Eva, K. W., Spero, L., & Sharan, S. (2002). Is there any real virtue of virtual reality?: The minor role of multiple orientations in learning
anatomy from computers. Academic Medicine, 77(10), S97-S99.
Goldstone, R. L., & Son, J. Y. (2005). The transfer of scientific principles using concrete and idealized simulations. Journal of the Learning Sciences, 14(1), 69–110.
James, D. R. C., Purkayastha, S., Athanasiou, T., Shafiq, O., Paraskevas, P., & Darzi, A. (2004). Anatomy: The future teaching of undergraduates. Hospital Medicine,
65, 681–685.
Johnson, D. W., & Johnson, R. T. (2009). Energizing learning: The instructional power of conflict. Educational Researcher, 38, 37–51.
Johnson, D. W., & Johnson, R. T. (1989). Cooperation and competition: Theory and research. Edina, MN: Interaction.
Johnson, D., Johnson, R., & Smith, K. (2007). The State of Cooperative Learning in Postsecondary and Professional Settings. Educational Psychology Review, 19(1),
15–29.
Keedy, A. W., Durack, J. C., Sandhu, P., Chen, E. M., O’Sullivan, P. S., & Breiman, R. S. (2011). Comparison of traditional methods with 3D computer models in the
instruction of hepatobiliary anatomy. Anatomical Sciences Education, 4, 84-91.
Lindgren, R., & Schwartz, D. L. (2009). Spatial learning and computer simulations in science. International Journal of Science Education, 31(3), 419–438.
Hisley, K, Anderson, L, Smith, S, Kavic, S, Tracy, J. (2008). Coupled physical and digital cadaver dissection followed by a visual test protocol provides insights into
the nature of anatomical knowledge and its evaluation. Anatomical Science Education, 1, 27-40.
Nicholson, D. T., Chalk, C., Funnell, W. R. J., & Daniel, S. J. (2006). Can virtual reality improve anatomy education? A randomised controlled study of a computer-
generated three-dimensional anatomical ear model. Medical Education, 40, 1081-1087.
Pear, R. (2009). Shortage of doctors an obstacle to Obama goals. Retrieved December 11, 2009 from http://www.nytimes.com/2009/04/27/health/policy/27care.html
Resnick, M., Berg, R., & Eisenberg, M. (2000). Beyond black boxes: Bringing transparency and aesthetics back to scientific investigation. Journal of the Learning
Sciences, 9(1), 7-30.
Saltarelli, A. Saltarelli, W. & Roseth, C. (2012). Under review, Journal of Educational Psychology.
Teo, T. (Ed.). (2011). Technology Acceptance in Education: Research and Issues. Sense Publishers.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the Technology Acceptance Model.
Information Systems Research, 11(4), 365.
Venkatesh, V., Morris, M. G., Davis, G. B., Davis, F. D., DeLone, W., McLean, E., Jarvis, C. B., et al. (2003). User acceptance of information technology: Toward a
unified view. Management Information Systems Quarterly, 27, 425–478.
Winn, W., Stahr, F., Sarason, C., Fruland, R., Oppenheimer, P., & Lee, Y. L. (2006). Learning oceanography from a computer simulation compared with direct
experience at sea. Journal of Research in Science Teaching, 43(1), 25–42.
Image Credits
Coffee - http://www.flickr.com/photos/zedworks/
Frustration - http://www.flickr.com/photos/sharynmorrow/
Spare Change - http://www.flickr.com/photos/kicey/
Andy Saltarelli, Ph.D.
                     ASSETT
         University of Colorado – Boulder
assett.colorado.edu | andysaltarelli.com | @ajsalts

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APR2 POD 2012

  • 1. The Effects of Virtual Labs and Cooperative Learning in Anatomy Instruction Andy Saltarelli, Ph.D. ASSETT University of Colorado – Boulder William Saltarelli, Ph.D. College of Health Professions Central Michigan University Cary Roseth, Ph.D. College of Education Michigan State University POD Conference 2012, Seattle, WA
  • 7. Backstory – Partnering Practitioner Edu Tech Edu Psy
  • 8. Backstory – Theory -Social Interdependence Theory (Deutsch, 1949, 1973; Johnson & Johnson, 1989) - 40 Years of Research (Johnson & Johnson, 2007): - Achievement  .55 (ES) - Self-Esteem  .42 (ES) - Peer Relationships  .42 (ES) - Perspective Taking  .44 (ES)
  • 9. Backstory Authentic Pedagogical “problem” Interdisciplinary Partnership, T&L Research Support Theory Testing, Iterative Approach
  • 10. Story – Human Anatomy  300 students per semester  4 credit course  15 cadaver-based lab sections taught by 7 GAs  1 large lecture and 2 labs per week  Grade of D, E or Withdrawal ~30%  Feeder/Weeder Course
  • 11. Story - Study #1 Simulated Lab Cadaver Lab APR Only Cadaver Lab VS Only Lab Conclusions: Results: Cadaver-only students performed better than APR-only Explanation: Technology pre-training & student perceptions of software were poor Solution: Infuse active learning (e.g., cooperative learning) to ameliorate observed negative effects of simulation software
  • 13. Tech Integration ECAR 2012
  • 14. Tech Integration TPACK (Mishra & Koehler, 2006; tpack.org)
  • 15. Tech Integration TPACK UPS Comercial - http://vimeo.com/14182460
  • 16. Current Study Experimental-control design: 2 Instructional Technology (APR, Cadaver) X 2 Cooperative Learning (Jigsaw, No Jigsaw) Jigsaw Individual APR APR APR Software + + Jigsaw Individual Cadaver Cadaver Cadaver + + Only Jigsaw Individual
  • 17. Method  Participant Flow  N = 250 in 15 lab sections randomly to 1 of 4 conditions Jigsaw Individual APR 4 sections 4 sections Software N=73 N=63 Cadaver 4 sections 3 sections Only N=71 N=43
  • 18. Current Study Jigsaw + APR Software
  • 21. Independent Variables Virtual Labs via Simulation Software Cooperative Learning via Jigsaw Anatomy & Physiology Revealed 3.0 (APR) (Aronson, 1978, 2011)
  • 22. Dependent Variable  Achievement:  Quiz Grade, 1-Week Retention (6-items; α = .78 )  Intrinsic Motivation (Ryan, 1982):  Relatedness (8-items; α = .88), Interest (7-items; α = .92), Value (7-items; α = .93)  Social Interdependence (Johnson & Norem-Hebeisen, 1977):  Cooperation (7-items; α = .89), Competition (7-items; α = .93), Individualism (7-items; α = .86)  Task-technology fit (Goodhue, 1998):  Presentation (2-items; α = .94)
  • 23. Results: Achievement Result: Students who participated in the jigsaw activity performed better than those that didn’t on the 1-week retention quiz. (Wilks's λ=.97, F(1,218) p = .04)
  • 24. Results: Achievement Result: No difference between APR and cadaver-only study on the 1-week retention quiz.
  • 25. Results: Motivation Result: Students who participated in the jigsaw activity had higher motivation* than those who didn’t participate. *F=5.96, P=.01
  • 26. Results: Motivation Result: Students who studied with APR in lab had lower motivation* than cadaver-only students. *F=28.83, P<.001
  • 27. Results: Motivation Result: Results suggest* that the jigsaw activity ameliorated decreases in motivation observed in the APR group. *Jig x APR Interaction, F = 6.57, p = .01
  • 28. Results: Task-technology Fit Result: Students’ perceptions of task-technology fit was greater in jigsaw over individual learning. *Wilks's λ=.95, F(1,213) p < .01
  • 29. Study #2 – Results Qualitative (Regarding Jigsaw Activity): •I liked how I was able to teach and be taught at the same time. •Iliked teaching my objectives to others. It helped me learn more in depth. •Iliked this activity because it allows us to work together more and receive feedback from each other. •I enjoyed teaching the material to others. It makes it so I have to master it in order to teach it. •Thegroup activity helped me get more involved and learn different ways to study the material.
  • 30. Conclusions Jigsaw cooperative learning provides clear advantages over traditional, individual lab learning methods in anatomy instruction Results suggest that jigsaw cooperative learning ameliorates the initial negative effects of introducing new virtual software The positive effects of cooperative learning pedagogy appear to “spill over” onto students’ perceptions of technology
  • 31. Special Thanks Jim Therrell & the Faculty Center for Innovative Teaching at Central Michigan University
  • 32. References Aronson, E. (1978). The jigsaw classroom. Beverly Hills, CA: Sage. Aronson, E., & Patnoe, S. (2011). Cooperation in the Classroom: The Jigsaw Method, 3rd Edition (3rd ed.). Pinter & Martin Ltd. Colella, V. (2000). Participatory simulations: Building collaborative understanding through immersive dynamic modeling. The Journal of the Learning Sciences, 9(4), 471-500. Correll, D. (2008). For human dissection needs, the body count is low - Los Angeles Times. Retrieved December 11, 2009, from http://articles.latimes.com/2008/may/26/nation/na-cadavers26 Deutsch, M. (1949). A theory of cooperation and competition. Human Relations, 2, 129–152. Deutsch, M. (1973). The resolution of conflict. New Haven, CT: Yale University Press. Garg, A. X., Norman, G. R., Eva, K. W., Spero, L., & Sharan, S. (2002). Is there any real virtue of virtual reality?: The minor role of multiple orientations in learning anatomy from computers. Academic Medicine, 77(10), S97-S99. Goldstone, R. L., & Son, J. Y. (2005). The transfer of scientific principles using concrete and idealized simulations. Journal of the Learning Sciences, 14(1), 69–110. James, D. R. C., Purkayastha, S., Athanasiou, T., Shafiq, O., Paraskevas, P., & Darzi, A. (2004). Anatomy: The future teaching of undergraduates. Hospital Medicine, 65, 681–685. Johnson, D. W., & Johnson, R. T. (2009). Energizing learning: The instructional power of conflict. Educational Researcher, 38, 37–51. Johnson, D. W., & Johnson, R. T. (1989). Cooperation and competition: Theory and research. Edina, MN: Interaction. Johnson, D., Johnson, R., & Smith, K. (2007). The State of Cooperative Learning in Postsecondary and Professional Settings. Educational Psychology Review, 19(1), 15–29. Keedy, A. W., Durack, J. C., Sandhu, P., Chen, E. M., O’Sullivan, P. S., & Breiman, R. S. (2011). Comparison of traditional methods with 3D computer models in the instruction of hepatobiliary anatomy. Anatomical Sciences Education, 4, 84-91. Lindgren, R., & Schwartz, D. L. (2009). Spatial learning and computer simulations in science. International Journal of Science Education, 31(3), 419–438. Hisley, K, Anderson, L, Smith, S, Kavic, S, Tracy, J. (2008). Coupled physical and digital cadaver dissection followed by a visual test protocol provides insights into the nature of anatomical knowledge and its evaluation. Anatomical Science Education, 1, 27-40. Nicholson, D. T., Chalk, C., Funnell, W. R. J., & Daniel, S. J. (2006). Can virtual reality improve anatomy education? A randomised controlled study of a computer- generated three-dimensional anatomical ear model. Medical Education, 40, 1081-1087. Pear, R. (2009). Shortage of doctors an obstacle to Obama goals. Retrieved December 11, 2009 from http://www.nytimes.com/2009/04/27/health/policy/27care.html Resnick, M., Berg, R., & Eisenberg, M. (2000). Beyond black boxes: Bringing transparency and aesthetics back to scientific investigation. Journal of the Learning Sciences, 9(1), 7-30. Saltarelli, A. Saltarelli, W. & Roseth, C. (2012). Under review, Journal of Educational Psychology. Teo, T. (Ed.). (2011). Technology Acceptance in Education: Research and Issues. Sense Publishers. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 365. Venkatesh, V., Morris, M. G., Davis, G. B., Davis, F. D., DeLone, W., McLean, E., Jarvis, C. B., et al. (2003). User acceptance of information technology: Toward a unified view. Management Information Systems Quarterly, 27, 425–478. Winn, W., Stahr, F., Sarason, C., Fruland, R., Oppenheimer, P., & Lee, Y. L. (2006). Learning oceanography from a computer simulation compared with direct experience at sea. Journal of Research in Science Teaching, 43(1), 25–42.
  • 33. Image Credits Coffee - http://www.flickr.com/photos/zedworks/ Frustration - http://www.flickr.com/photos/sharynmorrow/ Spare Change - http://www.flickr.com/photos/kicey/
  • 34. Andy Saltarelli, Ph.D. ASSETT University of Colorado – Boulder assett.colorado.edu | andysaltarelli.com | @ajsalts

Notes de l'éditeur

  1. Faculty development-faculty research -- What does it look like? Feel like? How do you get there? Do a jigsaw? Some sort of response?
  2. Faculty development-faculty research -- What does it look like? Feel like? How do you get there? Do a jigsaw? Some sort of response?
  3. Do Venn diagram
  4. Average effect sizes
  5. DEW = GRADE OF D, E, OR WITHDRAWAL