Assessing cognitive demand is crucial for research on self-regulated learning; however, discrepancies in translating essential concepts across languages can hinder the comparison of research findings. Different languages often emphasize various components and interpret certain constructs differently. This paper aims to develop a translingual set of items distinguishing between intentionally invested mental effort and passively perceived mental load as key differentiations of cognitive demand in a broad range of learning situations, as they occur in self-regulated learning. Using a mixed-methods approach, we evaluated the content, criterion, convergent, and incremental validity of this scale in different languages. To establish content validity, we conducted qualitative interviews with bilingual participants who discussed their understanding of mental effort and load. These participants translated and back-translated established and new items from the cognitive-demand literature into English, Dutch, Spanish, German, Chinese, and French. To establish criterion validity, we conducted preregistered experiments using the English, Chinese, and German versions of the scale. Within those experiments, we validated the translated items using established demand manipulations from the cognitive load literature with first-language participants. In a within-subjects design with eight measurements (N = 131), we demonstrated the scale’s criterion validity by showing sensitivity to differences in task complexity, extraneous load manipulation, and motivation for complex tasks. We found evidence for convergent and incremental validity shown by medium-size correlations with established cognitive load measures. We offer a set of translated and validated items as a common foundation for translingual research. As best practice, we recommend four items within a reference point evaluation.

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Research on embodied cognition acknowledges that cognitive processing is tightly coupled with bodily activities and the environment. An important implication for education is that learning can be enhanced when the brain, body, and environment mutually influence each other, such as when making or observing human actions, especially those involving hand gestures and manipulation of objects. In this narrative review article, we describe the evidence from six research avenues that can help explain why embodied cognition can enhance learning and instruction. Through the exploration of these six interconnected research pathways, we aim to make a significant contribution by proposing innovative directions for learning and instruction research, all rooted in the principles of embodied cognition. We establish a direct link between the six research pathways and embodied phenomena, both in the contexts of making and observing human movements. When making human movements, the research avenues explaining the learning benefits due to these movements are physical activity, generative learning, and offloaded cognition. When observing human movements, the avenues researching these phenomena are specialized processor and signaling. Lastly, the research avenue social cognition is integral to both making and observing human movements. With originality in focus, we also include research that has not been traditionally associated with embodied cognition or embodiment. This article offers comprehensive discussions, substantiated with evidence and influencing features, for each of these research avenues. We conclude by outlining the implications of these findings for instruction and charting potential directions for future investigation.@en

The split-attention effect posits that learning outcomes are negatively impacted when interrelated text and graphics are spatially segregated rather than cohesively integrated. This study explored how the instructional material's presentation size influences the manifestation of the split-attention effect. Based on cognitive load theory and perceptual load theory, we hypothesized that elevated information density in a compact presentation format would attenuate the advantage of integrated text and graphics, thereby diminishing the salience of the split-attention effect relative to a more expansive presentation size. University students (n = 146) studied a split-attention format or integrated format in either large or small presentation size. Results on retention and comprehension tests and extraneous cognitive load ratings revealed no effects of instructional format, presentation size or their interaction. The present results call for a more nuanced understanding of the split-attention effect and suggest additional research to explore its cognitive foundations.

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