과제수행에 대한 사전지식 및 인지부하요인의 경로분석
A Path Analysis of Expertise and Cognitive Load Factors on Performance
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초록
이 연구에서는 사전지식과 같은 학습자의 전문성 수준을 고려하여 인지부하요인과 학습수행에 대한 경로모형을 분석하였다. 이 연구의 참여자는 217명(남학생: 52명, 여학생: 165명)이었으며, 멀티미디어 학습자료를 활용한 실험집단을 구성하였다. 이 연구에서는 다섯 요인(신체적 노력, 정신적 노력, 과제 난이도, 자기평가, 자료설계)으로 구성된 인지부하모형을 전제로 하고 있으며, 사전검사 및 사후검사에 대한 경로모형을 설정하였다. 자기평가와 과제 난이도는 사전검사(학습자의 전문성)에 의해서 영향을 받고 있는 것으로 경로를 구성했으며, 정신적 노력, 자료의 설계, 신체적 노력은 학습자의 사전지식 수준과 상관없는 요인으로 경로를 구성했다. 초기의 모형적합도 지수는 CMIN=27.94, df=10, p<.05, GFI=.97, IFI=.96, CFI=.96, TLI=.91, RMSEA=.09인 것으로 나타났다. 카이제곱 및 RMSEA의 지수는 적합하지 않은 것으로 나타났기 때문에 초기경로모형에 대한 수정을 실시하였다. 신체적 노력과 과제 난이도 사이에 오차 공변량을 설정함으로써 모형을 수정했으며, 모든 적합도 지수가 수용수준에 미치는 것으로 나타났다(CMIN=11.28, df=9, p=.26,GFI=.99, IFI=.99, CFI=.99, TLI=.99, RMSEA=.03). 또한 경로모형을 구성하고 있는 모든 경로의 계수는 통계적으로 유의미한 것으로 평가되었다. 이 연구의 경로모형에서 가장 큰 영향력을 유지하고 있는 경로는 사전검사 → 사후검사(전체효과=.61)였으며, 자기평가가 과제난이도에 미치는 경로계수도 높은 것으로 나타났다(전체효과=-.54). 이 연구를 통하여 1) 다차원적 관점에서의 인지부하요인을 설정할 수 있었으며, 2) 구조주의적 관점에 따라서 종합적인 분석이 실시되었으며, 3) 학습자 중심의 적응적 인지부하이론이 개발될 필요성에 대하여 논의하였다. 특히, 전문성 역전효과와 같이 학습자의 전문성 정도에 따라서 인지부하이론의 적용효과가 달라질 수 있는 상황에 대한 교수설계전략이 필요하다. 인지부하이론을 위한 향후 연구에서는 보다 계량화된 형태의 타당화된 측정도구의 개발이 필요하다. 왜냐하면 인지부하의 결과를 객관화함으로써 교수과정에서의 효율성을 측정하거나 비교분석을 할 수 있을 것이기 때문이다. 학습자의 사전지식이나 전문성을 반영한 인지부하이론을 구성함으로써 인지과정을 역동성과 학습맥락을 고려한 설계이론의 개발이가능할 것이다. 또한 동기요인과 같은 정의적인 측면을 반영할 필요가 있다.
Abstract
Recently, there have been critical debates around the theoretical assumptions and the framework for the cognitive load theory. First, the discussions have brought some key themes for the relationship between learners' performance and cognitive load constructs. Second, there are some ways to reflect on the purpose of using a cognitive structure course for the cognitive load theory. Third, there are multidimensional aspects to measure cognitive loads. Along with the tenets of the recent development of the cognitive load theory, a path model was tested. The total number of the participants in this project was 217 (male: 52 - 24.0%. female: 165 - 76%). Five multidimensional constructs (mental efforts, physical effort, material design, self-evaluation, and task difficulty) and pre- and post-tests were analyzed. In order to build a path model, the pre-test scores were linked to self-evaluation and task-difficulty; however, other constructs were not linked according to the pre-test scores. The initial analysis suggested that a modification in the model. Then a covariance link was added. The overall goodness of fit for indices indicted satisfying the path analysis. All indices of goodness of fit was evaluated to meet the acceptable criterion. The indices were revealed as CMIN=11.28, df=9, p=.26, GFI=.99, IFI=.99, CFI=.99, TLI=.99, RMSEA=.03. The research results suggest that a multidimensional aspect of cognitive load is acceptable and applicable to building a path model. Consideration of learners activities was required to build an adaptive cognitive load theory for various instructional settings.Specifically, the learners' characteristics should be more reflected to explain certain concepts such as the expertise reversal effect.
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