scholarly journals Subjective Measure of Cognitive Load Depends on Participants’ Content Knowledge Level

2021 ◽  
Vol 6 ◽  
Author(s):  
Tianlong Zu ◽  
Jeremy Munsell ◽  
N. Sanjay Rebello

Cognitive load theory (CLT) posits the classic view that cognitive load (CL) has three-components: intrinsic, extraneous and germane. Prior research has shown that subjective ratings are valid measures of different CL subtypes. To a lesser degree, how the validity of these subjective ratings depends on learner characteristics has not been studied. In this research, we explored the extent to which the validity of a specific set of subjective measures depends upon learners’ prior knowledge. Specifically, we developed an eight-item survey to measure the three aforementioned subtypes of CL perceived by participants in a testing environment. In the first experiment (N = 45) participants categorized the eight items into different groups based on similarity of themes. Most of the participants sorted the items consistent with a threefold construct of the CLT. Interviews with a subgroup (N = 13) of participants provided verbal evidence corroborating their understanding of the items that was consistent with the classic view of the CLT. In the second experiment (N = 139) participants completed the survey twice after taking a conceptual test in a pre/post setting. A principal component analysis (PCA) revealed a two-component structure for the survey when the content knowledge level of the participants was initially lower, but a three-component structure when the content knowledge of the participants was improved to a higher level. The results seem to suggest that low prior knowledge participants failed to differentiate the items targeting the intrinsic load from those measuring the extraneous load. In the third experiment (N = 40) participants completed the CL survey after taking a test consisting of problems imposing different levels of intrinsic and extraneous load. The results reveals that how participants rated on the CL survey was consistent with how each CL subtype was manipulated. Thus, the CL survey developed is decently effective measuring different types of CL. We suggest instructors to use this instrument after participants have established certain level of relevant knowledge.

Author(s):  
Anne-Marie Singh ◽  
Slava Kalyuga

With advancement in technology, hypermedia learning environments are becoming more common in education. Such environments present the multiple representations of information in a non-linear and non-sequential format, allowing the learners to enhance their retention and transfer of knowledge by selecting and sequencing their learning paths. Research into expert-novice differences has suggested that learner prior knowledge has major implications for learning. This chapter considers the role of learner prior knowledge in enhancing the effectiveness of hypermedia learning from a cognitive load perspective. Cognitive load theory is an instructional theory that investigates instructional means of managing limitations of human cognitive system, primarily processing limitations of working memory. The chapter reviews recent studies of cognitive load theory-generated techniques for learners with different levels of prior knowledge and relevant research in hypermedia learning. The chapter concludes with evidence-based recommendations for enhancing the effectiveness of educational hypermedia.


2021 ◽  
pp. 096973302098175
Author(s):  
Olivia Numminen ◽  
Kasper Konings ◽  
Roelant Claerhout ◽  
Chris Gastmans ◽  
Jouko Katajisto ◽  
...  

Background: Moral courage as a part of nurses’ moral competence has gained increasing interest as a means to strengthen nurses acting on their moral decisions and offering alleviation to their moral distress. To measure and assess nurses’ moral courage, the development of culturally and internationally validated instruments is needed. Objective: The objective of this study was to validate the Dutch-language version of the four-component Nurses’ Moral Courage Scale originally developed and validated in Finnish data. Research design: This methodological study used non-experimental, cross-sectional exploratory design. Participants and research context: A total of 559 nurses from two hospitals in Flanders, Belgium, completed the Dutch-language version of the Nurses’ Moral Courage Scale. Ethical considerations: Good scientific inquiry guidelines were followed throughout the study. Permission to translate the Nurses’ Moral Courage Scale was obtained from the copyright holder, and the ethical approval and permissions to conduct the study were obtained from the participating university and hospitals, respectively. Findings: The four-component 21-item, Dutch-language version of the Nurses’ Moral Courage Scale proved to be valid and reliable as the original Finnish Nurses’ Moral Courage Scale. The scale’s internal consistency reliability was high (0.91) corresponding with the original Nurses’ Moral Courage Scale validation study (0.93). The principal component analysis confirmed the four-component structure of the original Nurses’ Moral Courage Scale to be valid also in the Belgian data explaining 58.1% of the variance. Confirmatory factor analysis based on goodness-of-fit indices provided evidence of the scale’s construct validity. The use of a comparable sample of Belgian nurses working in speciality care settings as in the Finnish study supported the stability of the structure. Discussion and conclusion: The Dutch-language version of the Nurses’ Moral Courage Scale is a reliable and valid instrument to measure nurses’ self-assessed moral courage in speciality care nursing environments. Further validation studies in other countries, languages and nurse samples representing different healthcare environments would provide additional evidence of the scale’s validity and initiatives for its further development.


2019 ◽  
Vol 62 (1) ◽  
Author(s):  
Dae Young Lee ◽  
Bo-Ram Choi ◽  
Jae Won Lee ◽  
Yurry Um ◽  
Dahye Yoon ◽  
...  

Abstract In Platycodi Radix (root of Platycodon grandiflorum), there are a number of platycosides that consist of a pentacyclic triterpenoid aglycone and two sugar moieties. Due to the pharmacological activities of platycosides, it is critical to assess their contents in PR, and develop an effective method to profile various platycosides is required. In this study, an analytical method based on ultra performance liquid chromatography coupled with quadrupole time-of-flight/mass spectrometry (UPLC-QTOF/MS) with an in-house library was developed and applied to profile various platycosides from four different Platycodi Radix cultivars. As a result, platycosides, including six isomeric pairs, were successfully analyzed in the PRs. In the principal component analysis, several platycosides were represented as main variables to differentiate the four Platycodi Radix cultivars. Their different levels of platycosides were also represented by relative quantification. Finally, this study indicated the proposed method based on the UPLC-QTOF/MS can be an effective tool for identifying the detail characterization of various platycosides in the Platycodi Radix.


2019 ◽  
Vol 73 (5) ◽  
pp. 565-573 ◽  
Author(s):  
Yun Zhao ◽  
Mahamed Lamine Guindo ◽  
Xing Xu ◽  
Miao Sun ◽  
Jiyu Peng ◽  
...  

In this study, a method based on laser-induced breakdown spectroscopy (LIBS) was developed to detect soil contaminated with Pb. Different levels of Pb were added to soil samples in which tobacco was planted over a period of two to four weeks. Principal component analysis and deep learning with a deep belief network (DBN) were implemented to classify the LIBS data. The robustness of the method was verified through a comparison with the results of a support vector machine and partial least squares discriminant analysis. A confusion matrix of the different algorithms shows that the DBN achieved satisfactory classification performance on all samples of contaminated soil. In terms of classification, the proposed method performed better on samples contaminated for four weeks than on those contaminated for two weeks. The results show that LIBS can be used with deep learning for the detection of heavy metals in soil.


1988 ◽  
Vol 18 (1) ◽  
pp. 211-218 ◽  
Author(s):  
J. L. Vazquez-Barquero ◽  
P. Williams ◽  
J. F. Diez-Manrique ◽  
J. Lequerica ◽  
A. Arenal

SynopsisThe factor structure of the 60-item version of the General Health Questionnaire was explored, using data collected in a community study in a rural area of northern Spain. Six principal components, similar to those previously reported with this instrument, were found to provide a good description of the data structure.The 30-item and 12-item versions of the GHQ were then disembedded from the parent version, and further principal components analyses carried out. Again, the results were similar to previous studies: in each of the three versions analysed here, the two most important components represented a disturbance of mood (‘general dysphoria’)– including aspects of anxiety, depression and irritability– and a disturbance of social performance (‘social function/optimism’).The principal component structure of the GHQ-60 was then utilized to calculate factor scores, and these were compared with PSE ratings using Relative Operating Characteristic (ROC) analysis. While four of the six factors discriminated well (area under the ROC curve 0–75 or more) between PSE ‘cases’ and ‘non-cases’, only one, depressive thoughts, was a good discriminator between depressed and non-depressed PSE ‘cases’.


2020 ◽  
Author(s):  
Turki Maya

<p>The paper tries to answer the following question: could the 2016 oil price crisis generate financial contagion among stock markets? </p> <p>The study period is composed of two sub-periods; a quiet one from 3/01/2012 to 01/08/2014 and turbulent one from 04/08/2014 to 25/05/2016. Raw data consists of daily international stock market indexes prices. The co-movements of the stock market returns are analyzed through a principal component analysis (PCA).</p> <p>The results revealed that the <em>KMO</em> index (Kaiser-Mayer-Olkin) is higher during the turbulent period than during the quiet one and that the proportion of variance explained by the first component during the turbulent period reached 35% while during the quiet one it represented only 26,7%.Regarding the component structure, for the turbulent period, three factors are able to explain the stock markets indexes movements while for the quiet period four factors are required. </p> <p>The findings give more credit to the thesis supporting the linkage between cross correlation and financial contagion and classify the 2016 oil crisis, as just a coupling episode and not an extreme one.</p>


Author(s):  
Jan L. Plass ◽  
Bruce D. Homer ◽  
Catherine Milne ◽  
Trace Jordan ◽  
Slava Kalyuga ◽  
...  

We argue that the effectiveness of simulations for science education depends on design features such as the type of representation chosen to depict key concepts. We hypothesize that the addition of iconic representations to simulations can help novice learners interpret the visual simulation interface and improve cognitive learning outcomes as well as learners’ self-efficacy. This hypothesis was tested in two experiments with high school chemistry students. The studies examined the effects of representation type (symbolic versus iconic), prior knowledge, and spatial ability on comprehension, knowledge transfer, and self-efficacy under low cognitive load (Study 1, N=80) and high cognitive load conditions (Study 2, N=91). Results supported our hypotheses that design features such as the addition of iconic representations can help scaffold students’ comprehension of science simulations, and that this effect was strongest for learners with low prior knowledge. Adding icons also improved learners’ general self-efficacy.


Author(s):  
Ayşegül Sağkaya Güngör ◽  
Tuğce Ozansoy Çadırcı

The purpose of this study is to investigate the effects of cognitive load and game involvement on consumers' affective responses while comparing single and multi-brand settings in advergames. An experiment was conducted to study the differences between single and multi-brand settings at different levels of cognitive load, with the interaction of game involvement. Results showed that although there was no significant attitude difference towards single and multi-brand settings in advergames, the players' attitude towards the main brand is more positive in a single brand setting. Second, different levels of cognitive load affect attitude towards the main brand both in single and multi-brand settings, but the attitude change is observed only in single brand setting at high cognitive load. The results of the third analysis yielded that game involvement along with high cognitive load affects all attitudes positively.


2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Marine Vannereux ◽  
Agnes Giboreau ◽  
Anestis Dougkas

AbstractIntroductionDespite the well-documented health benefits of a dietary pattern higher in plant-based food such as legumes, their consumption remains low. Knowing that taste is the first factor in consumers’ food choice, flavoring of legumes using blends of herbs and spices (H&S) is an interesting approach to increase their consumption. This study examines the effect of H&S on the appreciation and energy intake of low salt legume-based dishes in a real context ecological environment.Materials and MethodsA 2-step pilot testing was designed to determine the most favorable recipe between 4 different blends of H&S. Firstly, 4 recipes were evaluated in a balanced order of presentation using different blends of legumes (chickpeas and lentils) and H&S by 115 participants (age 18–35) in an experimental restaurant. Overall liking was measured, followed by a preference-ranking test. Secondly, a perception assessment test was performed (n = 54) with the preferred recipe being divided into 4 variants higher (S) or lower in salt (LS) and H&S (S, LS, LSHS, SHS), according to a 2×2 factorial design (2-AFC test). In a randomized cross-over trial, 94 participants (age 18–35) attended 4 sessions 1 week apart and received the 4 variants as a mezze-type starter. Overall liking, food intake and appetite ratings (VAS) were assessed before and after the starter, main dish and dessert during lunch.ResultsParticipants significantly preferred the Spinach recipe compared with the Ginger, Paprika and Curcuma recipes and they could easily determine the different levels for salt and spices (t-test 5%). There were no significant differences in overall liking and taste between the different levels of salt and spiciness, although Principal Component Analysis showed 55% of the participants rating higher scores for the H&S recipes. Similarly, there were no differences in energy intake between S, LS, LSHS, SHS or total energy intake of the complete lunch. There was no difference in the ratings of hunger, desire to eat and prospective consumption although fullness was significantly higher followed by the S compared with LSHS (P < 0.005).DiscussionOverall appreciation was similar after the addition of H&S in low-salt starter to the high-salt starters, implying that reducing salt content without compromising acceptance is a feasible strategy at an ecological setting. However, there was no difference in energy intake of the four variants and overall appetite ratings. Further analysis, on interindividual differences in terms of eating behavior and acceptance, seems prudent.


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