Effectiveness of segmentation instructional strategy in online learning modules: Are 10-minute modules the best solution?
May 19, 9:45 AM – 11:15 AM
NYU School of Medicine
This study evaluates the effectiveness of the segmentation principle applied to online learning modules as measured by learning outcomes and level of student acceptability.
The objectives of this study are to:
Using an online learning module for first year medical students on the topic of tuberculosis and inflammation, we conducted a randomized controlled trial comparing three different levels of segmentation in the instructional design. 165 first-year medical students were randomly assigned to three treatment groups. Each group completed a differently segmented model on the topic of TB and Inflammation, as follows:
2. Segmented as mini modules with very short pauses-students completed six modules of 10 minutes each. There were no required pauses after each module, but the process of loading each section after the previous section had finished required roughly 5 seconds.
3. Segmented as mini modules with longer pauses-students completed six modules of 10 minutes each. There were required 30 second reflective pauses at the end of each mini module.
All measures were incorporated into the online learning modules.
In order to determine whether the segmentation design introduced differences in learning outcomes among three groups, we conducted an analysis of covariance.
In term's of knowledge gain, there's no significant differences between groups (p=.75)
The grouped median revealed that students spent considerably more time completing one long module (86.5 minutes median), compared to several short modules (65/ 5 minutes; 60 minutes) presenting the same content.
Conclusion & Discussion
Aronson, I.D., Marsch, L. A., Rajan, S., Koken, J., Bania, T. C., Computer-Based Video to Increase HIV Testing Among Emergency Department Patients Who Decline. under review.
Marsch, L.A., W.K. Bickel, and M.J. Grabinski, Application of interactive, computer technology to adolescent substance abuse prevention and treatment. Adolesc Med State Art Rev, 2007. 18(2): p. 342-56, xii.
Marsch, L.A., Bickel, W. K., Grabinski, M. J., Badger, G. J., Applying Computer technology to substance abuse prevention science: Results of a preliminary examination. Journal of Child and Adolescent Substance Abuse, 2007(16): p. 69-94.
Dillon, R. F., & Steinberg, R. J. (1986). Cognition and instruction. New York, NY: Academic Press.
Mayer, R. E. (2010). Applying the science of learning to medical education. Med Educ 44:54
Triola M. M., Huwendiek S., Levinson A. J., & Cook D. A. (2012). New directions in e-learning research in health professions education: Report of two symposia. Medical Teacher 34:1, e15-e20. Moreno, R., & Mayer, R. (1999). Cognitive principles of multimedia learning: The role of modality and contiguity. Journal of Educational Psychology 91(2), 358–368.