Reducing cognitive load during video lectures in physiology with eye movement modeling and pauses: a randomized...

Area of Science:

• Physiology Education
• Cognitive Load Theory
• Medical Training

Background:

• Video lectures are increasingly used in physiology education, but their efficacy compared to traditional lectures is not well-established.
• Increased cognitive load during video learning can hinder student comprehension.
• Tools to reduce cognitive load in video-based physiology instruction are needed.

Purpose of the Study:

• To investigate the impact of video segmentation with pauses and eye movement modeling examples (EMME) on cognitive load and learning gains in second-year medical students.
• To determine if these interventions improve learning outcomes in renal physiology video lectures.

Main Methods:

• Second-year medical students were randomized into four groups: EMME + pauses, EMME only, pauses only, and control.
• Students completed pretests, watched a renal physiology video lecture, and took posttests.
• Cognitive load was assessed via questionnaire; learning gains were calculated from pre- and posttest scores.

Main Results:

• Pauses significantly improved learning gains (P < 0.01), while EMME did not (P = 0.11).
• Students with low prior knowledge showed greater learning gains with pauses (P < 0.001).
• High prior knowledge students experienced reduced learning gains with EMME (P < 0.05).

Conclusions:

• Video segmentation with pauses is an effective strategy to reduce cognitive load and enhance learning in physiology video lectures.
• The effectiveness of interventions like EMME may depend on students' prior knowledge levels.
• Further empirical validation of pedagogical tools adapted for physiology video learning is crucial.