인지부하 측정을 위한 구인의 탐색 및 타당화 = An Exploratory Validation for the Constructs of Cognitive Load

다국어 초록 (Multilingual Abstract)

The purpose of this study was to identify the measurement constructs of cognitive load theory and validate the factor model derived from the exploratory study. In an effort to meet the purposes literature review was conducted to establish initial factors, and it turned out 5 factors(self-evaluation, physical efforts, mental efforts, material design, and task difficulty). The total numbers of questionnaire items were twenty, which each category contained four items. With the given initial factor model, an exploratory factor analysis was conducted. The extraction method was maximum likelihood method, and oblique technique was applied for the factor rotation. The total explained variance were estimated as 61.45%, and five factor model was selected. Also an confirmative factor analysis was conducted to validate the five factor model. The overall goodness-of-model fit was evaluated as acceptable: CMIN/DF, IFI, CFI, TLI, and RMSEA met with the minimum requirements. Once the model estimation was acceptable, construct validation, composite reliability, variance extraction, and Cronbach`s α were evaluated. All the questionnaires were evaluated to meet the requirement for construct validation, composite reliability, and Cronbach`s α. However, variance extractions of each latent variables did not meet the minimum requirement except for mental effort. This result indicated that the five factor model extracted from this study established constructs, which were acceptable for construct validation, but the factor model could not establish a sound convergent validation to measure the cognitive load. First, this study suggested that constructs of cognitive load may form a higher-oder structure rather than a single factor model. Second, there could be a moderate effect by learner`s knowledge level. Third, motivation aspect should be added to measure cognitive load because affective factor may have an impact on learner`s cognitive load. Fourth, the learner`s working memory capacity (WMC) may affect the cognitive load because the efficiency of cognitive process will be relied on the WMC. Last, behavioral feature such as physiological factor should be included for the further study. In this study, physical effort was extracted one of the constructs of cognitive load.

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