Direct Effects of Cognitive Load on Self-Efficacy During Instruction.

Research on cognitive load theory has historically focused on identifying the processes and strategies that enhance learning outcomes. Less attention has been given to the ways in which cognitive load may interact with the motivational and emotional aspects of learning. The aim of the present study is to examine the extent to which experienced cognitive load directly impacts self-efficacy during course-based instruction, after controlling for learning. In Study 1, results showed that within-time measurements of undergraduate students (n = 390) revealed a strong negative association between reported cognitive load and self-efficacy. However, across-time measurements revealed a positive relationship in which higher load predicted increased self-efficacy at later time points. Study 2 (n = 281) showed similar results using a different measure of cognitive load. Findings point to increases in self-efficacy being a consequence of the cognitive load imposed by instruction, rather than a precursor of the decision to invest mental effort. Furthermore, the differential relationships between cognitive load and self-efficacy within and across time highlight different types of motivational costs associated with invested mental effort as perceived by students. As a result, within and across time impacts of cognitive load offer both an enhanced understanding of cognition–motivation interactions and a potentially new approach to empirically differentiating between and quantifying intrinsic and extraneous load types. Educational Impact and Implications Statement: Cognition and motivation have traditionally been examined separately with little attention paid to how the cognitive processing of information itself may influence motivational beliefs. This study uses cognitive load theory to analyze the ways in which mental effort shapes concurrent and subsequent self-efficacy. Findings indicate that effort allocated to content difficulty positively predicts self-efficacy across time, and effort allocated to other factors such as unhelpful features of instruction and instructional materials negatively predicts concurrent self-efficacy. These results suggest that effort allocation due to instructional features has an important role to play on learners' motivation, independent of how much they learn, so instructional design decisions are important to consider even when they do not seem to directly impact learning outcomes. [ABSTRACT FROM AUTHOR]