Theme: 7BB Approaches to teaching and learning
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Motivation orientation between traditional and blended learning contexts in clinical education
Authors: FremenChihchen Chou
BruceYenHung Liu
Institutions: China Medical University Hospital - Departments of Medical Education and Emergency Medicine - Taichung - Taiwan
 
Background

For medical students, motivation orientation plays an important role in self-directed learning which is crucial for the success of clinical learning. Therefore, we want to know the difference of motivation orientation between blended learning and traditional learning. This study compared students’ perceived motivation orientation between traditional and blended learning contexts in clinical education. 

Summary of Work

Traditional medical clerkship education tends to place an emphasis on delivering material by way of a lecture, and core clinical training has occurred primarily on inpatient teams in block rotations. While in a blended learning model lectures can be online-learning ahead of time so the student can watch on their own time. The classroom time is more likely to be for structured exercises that emphasize the application of the curriculum to solve problems or work through tasks. A course created in a blended learning model uses the classroom time for activities that benefit the most from direct interaction. 258 junior clerkship students experienced both kind of learning in the clinical rotations. After that, every student answered the “Motivation orientation questionnaire” toward both learning contexts.

Summary of Results

EFA revealed consistent results within the two learning contexts with identical three pre-proposed factors. The overall alphas in both learning contexts were both 0.9. Tests of SE, IM, and EM between two learning contexts revealed that students perceived significantly higher SE (p<.001) and IM (p<.001) in the blended learning context (SE: 4.92, IM: 5.35) than traditional learning context (SE: 4.61, IM 4.93). The effect sizes for the SE (d=0.35) and IM (d=0,45) were small to medium.

Conclusion

Clinical education may benefit from blended learning with more intrinsic motivated orientation. This study found that a significant and positive correlation between self-efficacy and intrinsic motivation. It can, however, extrinsic motion did not reach statistical significance. Further research is required to test this relationship.

Take-home Messages

Investment on building up blended learning environment for clinical education is worthwhile not only by its well-known learner-paced and flexible characteristics but also by motivating students more intrinsic oriented.

References

•Greveson, G. C., & Spencer, J. A. (2005). Self-directed learning - the importance of concepts and contexts. Medical Education, 39(4), 348-349.

•Stegers-Jager, K. M., Cohen-Schotanus, J., & Themmen, A. P. N. (2012). Motivation, learning strategies, participation and medical school performance. Medical Education, 46(7), 678-688.

Background
Summary of Work

We adapted and modified the items from Motivated Strategies for learning questionnaire (MSLQ) to explored students’ perception. Every student answered the “Motivation orientation questionnaire” toward both learning contexts. The questionnaire was Likert-7 scale and included three pre-proposed factors, i.e., self-efficacy (SE), intrinsic motivation (IM) as well as extrinsic motivation (EM). Qualitative questions about why and how in which learning context the students feel motivated were also asked. Exploratory factor analysis (EFA) was conducted to verify the questionnaire in each learning context. Comparisons between two learning contexts were done by paired-t test for each factor.

We adapted and modified the items from Motivated Strategies for learning questionnaire (MSLQ) to explored students’ perception. Every student answered the “Motivation orientation questionnaire” toward both learning contexts. The questionnaire was Likert-7 scale and included three pre-proposed factors, i.e., self-efficacy (SE), intrinsic motivation (IM) as well as extrinsic motivation (EM). Qualitative questions about why and how in which learning context the students feel motivated were also asked. Exploratory factor analysis (EFA) was conducted to verify the questionnaire in each learning context. Comparisons between two learning contexts were done by paired-t test for each factor.

 

 

Motivation orientation questionnaire
Self Efficacy
  1. I expect to do well in this class.
  2. I'm certain I can understand the most difficult material presented in the readings for this course.
  3. I'm confident I can learn the basic concepts taught in this course.
  4. I'm confident I can understand the most complex material presented by the instructor in this course.
  5. I'm confident I can do an excellent job on the assignments and tests in this course.
  6. I believe I will receive an excellent grade in this class.
  7. I'm certain I can master the skills being taught in this class.
  8. Considering the difficulty of this course, the teacher, and my skills, I think I will do well in this class

Intrinsic Motivation

  1. In a class like this, I prefer course material that really challenges me so I can learn new things.
  2. In a class like this, I prefer course material that arouses my curiosity, even if it is difficult to learn.
  3. When I have the opportunity in this class, I choose course assignments that I can learn from even if they don't guarantee a good grade.

Extrinsic Motivation

  1. Getting a good grade in this class is the most satisfying thing for me right now.
  2. The most important thing for me right now is improving my overall grade point average, so my main concern in this class is getting a good grade.
  3. If I can, I want to get better grades in this class than most of the other students.
  4. I want to do well in this class because it is important to show my ability to my family, friends, employer, or others.

 

Summary of Results

EFA and Cronbach’s alpha coefficient in both learning contexts n=258

 

Paired t-test comparisons of Blended learning and Traditional contexts

 

Correlation for three factors about Blended learning

 

Correlation for three factors about Traditional learning

Conclusion
Take-home Messages
References
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