Evaluating the Efficacy of an Online Learning Tool for EEG Teaching

Author:

Asukile Melody Tunsubilege,Viljoen Charle A.,Lee Pan Edward,Eastman Roland,Tucker Lawrence Maskew

Abstract

ObjectiveTo determine the effectiveness of a 6-month, interactive, multimodal, Web-based EEG teaching program (EEGonline) in improving EEG analysis and interpretation skills for neurologists, neurology residents, and technologists, particularly in resource-limited settings.MethodsBetween June 2017 and November 2018, 179 learners originating from 20 African countries, Europe, and the United States were registered on the EEGonline course. Of these, 128 learners (91% African) participated in the study. Pre- and postcourse multiple choice question (MCQ) test results and EEGonline user logs were analyzed. Differences in pre- and posttest performance were correlated with quantified exposure to various EEGonline learning modalities. Participants' impressions of EEGonline efficacy and usefulness were assessed through pre- and postcourse satisfaction surveys.ResultsNinety-one participants attempted both pre- and postcourse tests (71% response rate). Mean scores improved from 46.7% ± 17.6% to 64.1% ± 18%, respectively (p < 0.001, Cohen d 0.974). The largest improvement was in correct identification of normal features (43.2%–59.1%; p < 0.001, Cohen d 0.664) and artifacts (43.3%–61.6%; p < 0.001, Cohen d 0.836). Improvement in knowledge was associated with improved subjective confidence in EEG analysis. Overall confidence among postcourse survey respondents improved significantly from 35.9% to 81.9% (p < 0.001). Lecture notes, self-assessment quizzes, and discussion forums were the most utilized learning modalities. The majority of survey respondents (97.2%) concluded that EEGonline was a useful learning tool and 93% recommended that similar courses should be included in EEG training curricula.ConclusionsThis study demonstrated that a multimodal, online EEG teaching tool was effective in improving EEG analysis and interpretation skills and may be useful in resource-poor settings.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Neurology (clinical)

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