Adi Ivzori Erel (Israel)

Technion Institute of technology, Haifa. Clalit Health services Haifa and North Galilee. Department of Family Medicine.

Author Of 1 Presentation

BLENDED LEARNING EVALUATION IN FAMILY MEDICINE RESIDENCY DURING THE COVID-19 EPIDEMIC AND ITS RELATIONSHIP WITH THE LEARNERS’ PERSONAL RESILIENCE.

Date
09.07.2021, Friday
Session Time
06:00 PM - 07:30 PM
Room
Hall 6
Lecture Time
06:00 PM - 06:11 PM
Session Icon
Pre-Recorded with Live Q&A

Abstract

Abstract Body

Background - The Covid-19 epidemic imposed a rapid shift in medical education and caused an immediate transfer from face to face learning to virtual learning experience. Blended learning is a combination of face to face and synchronic or a synchronic e- learning. Resilience is the human ability to cope and overcome an objective crisis. The continuous medical education program for family medicine residence in the Technion, Israel, endorsed the blended learning method during the covid-19 epidemic. The program includes 115 residents, divided to 4 academic years. In this study we aspire to evaluate the blended learning quality and experience ( cognitive, emotional, social, behavioral and technological ) as described by the residents and find its' relation to the residents resilience as reported in a valid questioner.

Methods - A mixed methods research which combines the qualitative and quantitative evaluation methods. A questioner composed of 5 parts: 1. Demographics 2. Personal resilience questioner 3. 2 statement regarding residents contentment from the program 4. 19 statements regarding blended learning and remote learning which are rated through likert scale (1-5) 5. 2 open questions regarding the learning experience throughout this area and the possible association to the sense of resilience.

Results - 91 questioner were completed. The overall satisfaction from the medical education program was 70%. 44% of the learner were satisfied with the blended learning method. The overall learner's resilience score is 3.8/5 +/-. A qualitative analysis should be preformed.

Conclusion - We found a great variation among the learners experiences and learning evaluation. Final analysis should be preformed.

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