Using subjective measures to detect variations of intrinsic cognitive load within problems

2006 ◽  
Vol 16 (5) ◽  
pp. 389-400 ◽  
Author(s):  
Paul Ayres
2021 ◽  
Vol 12 ◽  
Author(s):  
Paul Ayres ◽  
Joy Yeonjoo Lee ◽  
Fred Paas ◽  
Jeroen J. G. van Merriënboer

A sample of 33 experiments was extracted from the Web-of-Science database over a 5-year period (2016–2020) that used physiological measures to measure intrinsic cognitive load. Only studies that required participants to solve tasks of varying complexities using a within-subjects design were included. The sample identified a number of different physiological measures obtained by recording signals from four main body categories (heart and lungs, eyes, skin, and brain), as well as subjective measures. The overall validity of the measures was assessed by examining construct validity and sensitivity. It was found that the vast majority of physiological measures had some level of validity, but varied considerably in sensitivity to detect subtle changes in intrinsic cognitive load. Validity was also influenced by the type of task. Eye-measures were found to be the most sensitive followed by the heart and lungs, skin, and brain. However, subjective measures had the highest levels of validity. It is concluded that a combination of physiological and subjective measures is most effective in detecting changes in intrinsic cognitive load.


2021 ◽  
Vol 6 ◽  
Author(s):  
Melina Klepsch ◽  
Tina Seufert

In cognitive load theory (CLT), the role of different types of cognitive load is still under debate. Intrinsic cognitive load (ICL) and germane cognitive load (GCL) are assumed to be highly interlinked but provide different perspectives. While ICL mirrors the externally given task affordances which learners experience passively, germane resources are invested by the learner actively. Extraneous affordances (ECL) are also experienced passively. The distinction of passively experienced load and actively invested resources was inspired by an investigation where we found differential effects of a learning strategy training, which in fact resulted in reduced passive load and increased actively invested effort. This distinction is also mirrored in the active and passive forms for effort in German language: “es war anstrengend” (it has been strenuous) vs. “ich habe mich angestrengt” (I exerted myself). In two studies, we analyzed whether we could distinguish between these active and passive aspects of load by using these phrases and how this distinction relates to the three-partite concept of CLT. In two instructional design studies, we included the active and passive items into a differentiated cognitive load questionnaire. We found the factor structure to be stable, with the passive item loading on the ICL factor and the active item loading on the GCL factor. We conclude that it is possible to distinguish between active and passive aspects of load and that further research on this topic could be constructive, especially for learning tasks where learners act in a more self-regulated way and learner characteristics are taken into account.


2020 ◽  
Vol 38 (5/6) ◽  
pp. 943-962
Author(s):  
Weiling Liu

Purpose This paper aims to indicate that library guides seem to be unfamiliar to most students or not easy to find or use. Some improvements have been made by embedding the guides in the learning management system or promoting the guides in formal library instructional classes. Are there other ways to promote or improve the use of library guides? The author proposes an exploratory visual solution to minimize this gap between library users and library guides. Design/methodology/approach Guided by the cognitive load theory, the proposed solution is a knowledge map created with Freeplane. The proposal is illustrated by comparing a sample knowledge map with its content source, a subject guide in LibGuides, via three browsing paths in locating a recommended database for a particular course on the sample subject guide website. Findings The knowledge map can display contents in different ways and provide a simple and visual layout with direct access to the library resources, which may help lessen users’ intrinsic cognitive load, minimize extraneous load or promote germane load. The map can also be beneficial to librarians for preparing teaching materials or guides management. Practical implications The proposed solution can be implemented with Freeplane based on existing library guides or created from scratch. Originality/value The proposed solution addresses a gap in the library field, where the use of knowledge maps for library services is overlooked.


2020 ◽  
Vol 32 (4) ◽  
pp. 1003-1027 ◽  
Author(s):  
Katharina Scheiter ◽  
Rakefet Ackerman ◽  
Vincent Hoogerheide

Abstract A central factor in research guided by the Cognitive Load Theory (CLT) is the mental effort people invest in performing a task. Mental effort is commonly assessed by asking people to report their effort throughout performing, learning, or problem-solving tasks. Although this measurement is considered reliable and valid in CLT research, metacognitive research provides robust evidence that self-appraisals of performance are often biased. In this review, we consider the possibility that mental effort appraisals may also be biased. In particular, we review signs for covariations and mismatches between subjective and objective measures of effort. Our review suggests that subjective and most objective effort measures appear reliable and valid when evaluated in isolation, because they discriminate among tasks of varying complexity. However, not much is known about their mutual correspondence—that is, whether subjective measures covariate with objective measures. Moreover, there is evidence that people utilize heuristic cues when appraising their effort, similar to utilization of heuristic cues underlying metacognitive appraisals of performance. These cues are identified by exposing biases—mismatch in effects of cue variations on appraisals and performance. The review concludes with a research agenda in which we suggest applying the well-established methodologies for studying biases in self-appraisals of performance in metacognitive research to investigating effort appraisals. One promising method could be to determine the covariation of effort appraisals and objective effort measures as an indicator of the resolution of effort appraisals.


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