E-learning, dual-task, and cognitive load: The anatomy of a failed experiment

Area of Science:

• Anatomy Education
• Cognitive Psychology
• Educational Technology

Background:

• Commercial anatomy e-learning tools are increasingly used due to rising enrollments and reduced lab hours.
• Current research methodologies for evaluating e-learning tools' impact on learning are often imprecise.
• Understanding how user interface functionality affects students' cognitive load is critical.

Purpose of the Study:

• To develop and assess a dual-task methodology for measuring cognitive load in commercial anatomy e-learning tools.
• To evaluate the effectiveness of the standard dual-task paradigm in distinguishing cognitive load differences between e-learning interfaces.

Main Methods:

• A dual-task paradigm was adapted to assess cognitive load imposed by two distinct anatomy e-learning tools.
• The study identified limitations in the standard dual-task approach, including response automation and task performance trade-offs.
• Modifications included using a cognitively demanding secondary task (modified Stroop test) and recording baseline measures.

Main Results:

• The standard dual-task paradigm proved insensitive to cognitive load disparities across different e-learning tool interfaces.
• Confounding variables such as automated responses and poor primary task load definition led to unreliable quantitative results.
• Modified secondary tasks and baseline measurements improved the detection of cognitive load variations.

Conclusions:

• The standard dual-task paradigm requires significant modification to accurately assess cognitive load in anatomy e-learning.
• Refined dual-task methodologies are essential for reliable evaluation of educational technology interfaces.
• Future e-learning tool design must consider primary task cognitive load to avoid overwhelming learners.