Prior knowledge as a moderator between signaling and learning performance in immersive virtual reality laboratories

Area of Science:

• Educational Technology
• Cognitive Psychology
• Human-Computer Interaction

Background:

• Immersive virtual reality (IVR) offers engaging learning experiences but can pose cognitive challenges.
• Understanding how individual differences, like prior knowledge, interact with instructional strategies in IVR is crucial.
• Signaling techniques are used to guide attention and improve information processing in educational settings.

Purpose of the Study:

• To investigate the impact of signaling and prior knowledge on cognitive load, motivation, and learning in IVR.
• To determine if signaling benefits all learners equally in IVR environments.
• To provide design recommendations for IVR based on learner characteristics.

Main Methods:

• A 2x2 between-subjects factorial design was employed.
• Participants were college students with either high or low prior knowledge levels.
• The study compared learning outcomes with and without signaling within an IVR environment.

Main Results:

• Signaling effectively directed attention, improved information selection, and reduced cognitive load for students with low prior knowledge.
• Signaling did not significantly affect cognitive load, motivation, or learning performance in students with high prior knowledge.
• Learners with low prior knowledge showed improved learning and reduced cognitive load when signals were present.

Conclusions:

• IVR environments should incorporate signaling for students with low prior knowledge to optimize cognitive load and enhance learning.
• Text annotations and color changes are recommended signaling methods for low prior knowledge learners.
• IVR design should consider individual differences, tailoring experiences for high prior knowledge learners who may not benefit from explicit signals.