Impact of an Interactive, Animation-Based Electroencephalography Curriculum on Learner Confidence and Knowledge

Area of Science:

• Medical Education
• Neuroscience Education

Background:

• A national need exists for effective electroencephalography (EEG) education.
• An innovative, animated, and interactive online EEG learning module was developed at an academic medical center.

Purpose of the Study:

• To evaluate the efficacy of a novel online EEG educational resource.
• To assess improvements in learner knowledge and self-efficacy.

Main Methods:

• Utilized VideoScribe for animations and Articulate for an interactive module covering EEG origins, normal/abnormal findings, and related topics.
• Employed linear mixed-effects models with bootstrapping for statistical analysis of pre- and post-test knowledge assessments and Likert scale questionnaires.
• Curriculum and assessments were validated by fellowship-trained physicians.

Main Results:

• A significant improvement in knowledge was observed, with post-test scores averaging 88.2% compared to 54.1% on pre-tests (P < 0.0001).
• Learners reported increased self-efficacy (P < 0.0001) and 100% would recommend the module.
• In neurology providers, pretest scores correlated with training experience, while knowledge and self-efficacy gains remained significant after multivariate adjustment.

Conclusions:

• The animation-based, interactive EEG module effectively enhanced learner confidence and knowledge across various medical specialties and training levels.
• The findings suggest promising applicability for early electroencephalography learners.
• Further multi-institutional studies are recommended to confirm broad applicability.