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    멀티미디어 학습자료 설계를 위한 인지부하 설문의 민감도 분석 및 학습 성취에 대한 예언변수 분석 = Sensitivity of Cognitive Load Factors and Prediction for Learning Achievement upon the Levels of Task in Multimedia Learning

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    https://www.riss.kr/link?id=A82713060

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This study was to identify the relationships among the five cognitive load factors: 1) task demand, 2) mental effort, 3) perceived task difficulty, 4) self-evaluation, and 5) usability of the learning material. Particularly, for this study it was a purpose of testing the sensitivity of the cognitive load survey instrument by the different levels of task difficulties. 212 students were participated into the lable. Two different levels of task were presented to the participants to identify how well the differences of task difficulty is sensitive. Specifically, this study set up three sub-research goals. First, it was to evaluate the reliability of each cognitive load factor. For the analysis Cronbach`s alpha and construct reliability were tested. The result revealed that the cognitive load factor survey showed acceptable reliability. Second, a latent mean comparison was conducted. The result showed that the perceived task difficulty and self-evaluation had significant an impact on the cognitive load factors. Third, a multiple-regression was applied to measure what cognitive load factors may have impact on the task performance. When participants were in an easy task, the perceived task difficulty was a significant variable to predict the levels of learning achievement. However, when participants were in a hard task, the self-evaluation showed a significant prediction power on the learning achievement.
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    This study was to identify the relationships among the five cognitive load factors: 1) task demand, 2) mental effort, 3) perceived task difficulty, 4) self-evaluation, and 5) usability of the learning material. Particularly, for this study it was a pu...

    This study was to identify the relationships among the five cognitive load factors: 1) task demand, 2) mental effort, 3) perceived task difficulty, 4) self-evaluation, and 5) usability of the learning material. Particularly, for this study it was a purpose of testing the sensitivity of the cognitive load survey instrument by the different levels of task difficulties. 212 students were participated into the lable. Two different levels of task were presented to the participants to identify how well the differences of task difficulty is sensitive. Specifically, this study set up three sub-research goals. First, it was to evaluate the reliability of each cognitive load factor. For the analysis Cronbach`s alpha and construct reliability were tested. The result revealed that the cognitive load factor survey showed acceptable reliability. Second, a latent mean comparison was conducted. The result showed that the perceived task difficulty and self-evaluation had significant an impact on the cognitive load factors. Third, a multiple-regression was applied to measure what cognitive load factors may have impact on the task performance. When participants were in an easy task, the perceived task difficulty was a significant variable to predict the levels of learning achievement. However, when participants were in a hard task, the self-evaluation showed a significant prediction power on the learning achievement.

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    참고문헌 (Reference)

    1 류지헌, "인지 부하 측정을 위한 구인의 탐색 및 타당화" 한국교육정보미디어학회 15 (15): 1-27, 2009

    2 김주환, "구조방정식모형으로 논문쓰기" 커뮤니케이션북스 2009

    3 김계수, "구조방정식모형 분석" 아카데미 시리즈 2007

    4 류지헌, "과제수행에 대한 사전지식 및 인지부하요인의 경로분석" 교과교육연구소 13 (13): 851-871, 2009

    5 Ryu, J., "Validating cognitive load factors: sensitivity on latent mean differences between easy and difficult tasks" 2010

    6 Ayres, P., "Using subjective measures to detect variations of intrinsic cognitive load within problems" 16 (16): 389-400, 2006

    7 Meshkati, N., "Toward development of cohesive model of workload. In Human mental workload." Elsevier Science Publishers 1988

    8 Gerjets, P., "The scientific value of cognitive load theory: a research agenda based on the structuralist view of theories" 21 (21): 43-54, 2009

    9 Capa, R. L., "The interactive effect of achievement motivation and task difficulty on mental effort" 70 (70): 144-150, 2008

    10 홍세희, "Testing configural, metric, scalar, and latent mean invariance across genders in sociotropy and autonomy using a non-western sample" 63 (63): 636-654, 200308

    1 류지헌, "인지 부하 측정을 위한 구인의 탐색 및 타당화" 한국교육정보미디어학회 15 (15): 1-27, 2009

    2 김주환, "구조방정식모형으로 논문쓰기" 커뮤니케이션북스 2009

    3 김계수, "구조방정식모형 분석" 아카데미 시리즈 2007

    4 류지헌, "과제수행에 대한 사전지식 및 인지부하요인의 경로분석" 교과교육연구소 13 (13): 851-871, 2009

    5 Ryu, J., "Validating cognitive load factors: sensitivity on latent mean differences between easy and difficult tasks" 2010

    6 Ayres, P., "Using subjective measures to detect variations of intrinsic cognitive load within problems" 16 (16): 389-400, 2006

    7 Meshkati, N., "Toward development of cohesive model of workload. In Human mental workload." Elsevier Science Publishers 1988

    8 Gerjets, P., "The scientific value of cognitive load theory: a research agenda based on the structuralist view of theories" 21 (21): 43-54, 2009

    9 Capa, R. L., "The interactive effect of achievement motivation and task difficulty on mental effort" 70 (70): 144-150, 2008

    10 홍세희, "Testing configural, metric, scalar, and latent mean invariance across genders in sociotropy and autonomy using a non-western sample" 63 (63): 636-654, 200308

    11 Beckmann, J. F., "Taming a beast of burden: On some issues with the conceptualisation and operationalisation of cognitive load" 20 (20): 250-264, 2010

    12 Ayres, P., "State of the art research into cognitive load theory" 25 (25): 253-257, 2009

    13 Brünken, R., "Measuring cognitive load. In Cognitive load theory." Cambridge University Press 2010

    14 Windell, D., "Measuring cognitive load in multimedia instruction: a comparison of two instruments" 2007

    15 Cook, A. E., "Measurement of cognitive load during multimedia learning activities. In Cognitive effects of multimedia learning" Information Science Reference 34-50, 2009

    16 Ginns, P., "Integrating information: A meta-analysis of the spatial contiguity and temporal contiguity effects" 16 (16): 511-525, 2006

    17 Kalyuga, S., "Expertise reversal effect and its instructional implications: introduction to the special issue" 38 (38): 209-215, 2010

    18 Rubio, S., "Evaluation of subjective mental workload: a comparison of SWAT, NASA-TLX, and workload profile methods" 53 (53): 61-86, 2004

    19 Kamata, A., "Estimating reliability for multidimensional composite scale scores" Paper presented at the annual meeting of American Educational Research Association 2003

    20 Sweller, J., "Element interactivity and intrinsic, extraneous, and germane cognitive load" 22 (22): 123-138, 2010

    21 Park, B., "Does cognitive load moderate the seductive details effect? A multimedia study" 27 (27): 5-10, 2011

    22 Lowe, R., "Cueing complex animations: Does direction of attention foster learning processes?" 21 (21): 650-663, 2011

    23 Moreno, R., "Cognitive load theory: more food for thought" 38 (38): 135-141, 2010

    24 Paas, F., "Cognitive load theory: New conceptualizations, specifications, and integrated research perspectives" 22 (22): 115-121, 2010

    25 Kalyuga, S., "Cognitive load theory: How many types of load does it really need?" 23 (23): 1-19, 2011

    26 de Jong, T., "Cognitive load theory, educational research, and instructional design: some food for thought" 38 (38): 105-134, 2010

    27 Brunner, M., "Analyzing the reliability of multidimensional measures: An example from intelligence research" 65 (65): 227-240, 2005

    28 Spanjers, I. A. E., "An expertise reversal effect of segmentation in learning from animated worked-out examples" 27 (27): 46-52, 2011

    29 Wiebe, E. N., "An examination of two mental workload measurement approaches to understanding multimedia learning" 26 (26): 474-481, 2010

    30 Schnotz, W., "A reconsideration of cognitive load theory" 19 (19): 469-508, 2007

    31 DeLeeuw, K. E., "A comparison of three measures of cognitive load: evidence for separable measures of intrinsic, extraneous, and germane Load" 100 (100): 223-234, 2008

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2026 평가 재인증평가 신청대상 (재인증)
    2020-04-20 학회명변경 영문명 : Korea Association Of Educational Information & Broadcasting -> Korea Association for Educational Information and Media KCI등재
    2020-01-01 등재 등재학술지 유지 (재인증) KCI등재
    2017-01-01 등재 등재학술지 유지 (계속평가) KCI등재
    2013-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2010-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2008-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2005-01-01 등재 등재학술지 선정 (등재후보2차) KCI등재
    2004-01-01 등재 등재후보 1차 PASS (등재후보1차) KCI등재후보
    2003-01-01 등재 등재후보 1차 FAIL (등재후보1차) KCI등재후보
    2001-07-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
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    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 1.59 1.59 1.95
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    2 1.96 2.299 0.35
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