An Adaptive Blended Learning Model for the Implementation of an Integrated Medical Neuroscience Course During the...

Area of Science:

• Medical Education
• Neuroscience Education

Background:

• The COVID-19 pandemic necessitated rapid shifts in medical education delivery.
• Traditional in-person neuroscience courses faced challenges adapting to remote learning requirements.

Purpose of the Study:

• To evaluate an adaptive blended learning (ABL) model for a first-year medical neuroscience course.
• To compare student academic performance between ABL and traditional in-person instruction.

Main Methods:

• Developed an ABL model integrating digital technology with pedagogical needs for neuroscience.
• Offered synchronous and asynchronous learning options for flexibility in location and time.
• Compared summative and formative examination results between the ABL cohort (2020) and the in-person cohort (2019).

Main Results:

• Student performance in ABL was comparable to the traditional in-person approach.
• More students scored 70-79% with ABL, while more scored 80-89% with in-person learning.
• No significant difference in the percentage of students scoring >90% between the two methods.

Conclusions:

• The adaptive blended learning approach is effective for medical neuroscience education, enhancing performance for high-achieving students.
• ABL facilitates early identification of underachieving students, enabling timely academic interventions.
• This model provides a flexible and customized learning experience adaptable to pandemic-related disruptions.