Discovering Statistics Using SPSS
Discovering Statistics Using SPSS
Does cognitive load moderate the seductive details effect? A multimedia study
Computers in Human Behavior
An expertise reversal effect of segmentation in learning from animated worked-out examples
Computers in Human Behavior
The double-edged effects of explanation prompts
Computers in Human Behavior
Contemporary cognitive load theory research: The good, the bad and the ugly
Computers in Human Behavior
E-Learning technologies: A key to Dynamic Capabilities
Computers in Human Behavior
Hi-index | 0.00 |
This study investigates the effects of two prior knowledge activation strategies, namely, mobilisation and perspective taking, on learning. It is hypothesised that the effectiveness of these strategies is influenced by learners' prior domain knowledge. More specifically, mobilisation is expected to be the most effective activation strategy at lower levels of prior knowledge. Mobilisation is a bottom-up oriented strategy that serves a broad stage-setting function. It provides learners with a relevant context in which new information can be integrated, which might be especially beneficial for learners with lower levels of prior knowledge to help them extend their limited knowledge base. As prior knowledge increases, perspective taking is expected to become the most effective strategy for activating learners' prior knowledge. Perspective taking is a top-down oriented strategy that results in the activation of a corresponding schema. This schema guides the selection and processing of information relevant to the schema, which might especially support learners with higher levels of prior knowledge to refine their already elaborated knowledge base. The effectiveness of the activation strategies (in terms of learning task performance) was indeed influenced by learners' prior knowledge in the hypothesised direction.