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研究生: 陳俊良
CHEN, Chun-Liang
論文名稱: 高職學生學習專業科目之認知負荷問題-以基本電學為例
A Study of Cognitive Load Problems arised from Technical Vocational High School Students on Learning Basic Electricity
指導教授: 莊謙本
Chuang, Chien-Pen
學位類別: 碩士
Master
系所名稱: 工業教育學系
Department of Industrial Education
論文出版年: 2007
畢業學年度: 95
語文別: 中文
論文頁數: 127
中文關鍵詞: 認知負荷基本電學認知負荷量表
英文關鍵詞: cognitive load, Basic Electricity, cognitive load inventory
論文種類: 學術論文
相關次數: 點閱:194下載:0
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  • 本研究主要在探討高職電子科學生學習基本電學之認知負荷問題,依據文獻探討及研究發現歸納成結論,並提出建議,以作為高職教師未來教學之參考。
    本研究係以認知負荷為理論基礎,並參考多位學者所發展之認知負荷量表,將認知負荷分為六個構面(心智負荷、生理負荷、時間負荷、難易程度、挫折容忍力、表現程度),作為高職電子科基本電學認知負荷的構面,並發展以「高職學生認知負荷調查問卷」對台北縣市高職學校選取瑞芳高工、大安高工、協和工商、豫章商工、滬江中學、木柵高工、內湖高工、松山工農及智光商工等九間公私立高職進行研究,隨機抽樣868位高職電子科一年級學生進行問卷調查。
    本研究樣本班級數共22班,總人數共868人。研究發現高職認知負荷量表的信度為.861,以基本電學交流電單元成績T分數為效標,分別求其與六個分量表與全量表的相關,發現其效標關聯效度均達顯著相關,顯示量表具有良好的信效度,且研究發現不同的學生個人背景變項、學業成績與高職認知負荷有顯著相關。最後,根據研究發現,對於未來高職認知負荷量表建立提出一些建議,期使高職認知負荷量表的發展更趨完整。

    This study aims to discuss the cognitive load problems of technical vocational high school students on learning basic electricity. This study combined the relevant research papers and a case study of the present condition in Taiwan to get some conclusions, and offered some suggestions for high school teachers.
    This study, based on the theory of cognitive load, developed a questionnaire with six dimensions: “Mental Load”, “Physical Load”, “Temporal Load”, “Effort”, “Frustration Tolerance”, and “Performance” to measure vocational high school students’ cognitive load on learning basic electricity. Data of this case study were collected from 868 participants, who were randomly selected from 9 high schools in Taipei Area.
    The results show that the reliability of cognitive load inventory is 0.861, and the correlation between criterion-related validity in basic electricity and cognitive load achievement is significant. Thus, this inventory has good reliability and validity. In addition, the present study also finds out that student’s background characteristics and basic electricity achievement also have obvious relationship with cognitive load inventory. Finally, according the findings of this study, we suggest several recommendations for further studies on cognitive load inventory.

    目 錄 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 3 第三節 待答問題 4 第四節 研究假設 4 第五節 研究範圍與限制 5 第六節 研究流程 7 第七節 名詞釋義 8 第二章 文獻探討 10 第一節 認知負荷理論 10 第二節 認知負荷測量的準則與原理 28 第三節 認知負荷測量的方法 34 第四節 「基本電學」科目內涵 44 第五節 相關研究分析與評論 49 第六節 本章結語 51 第三章 研究方法 53 第一節 研究架構 53 第二節 研究工具 55 第三節 研究實施 77 第四節 資料統計方法 78 第四章 研究結果 82 第一節 研究樣本描述 82 第二節 高職電子科學生認知負荷之情況分析 84 第三節 個人背景因素對認知負荷之影響分析 86 第四節 資訊量及學業成就對認知負荷之影響分析 105 第五章 結論與建議 121 第一節 研究發現 121 第二節 結論 122 第三節 建議 126 參考文獻 128 附錄一 認知負荷問卷審查專家名單 137 附錄二 認知負荷問卷審查專家意見 138 附錄三 「高職學生學習基本電學之認知負荷問題研究」問卷審查 142 附錄四 高職學生認知負荷調查預試問卷 148 附錄五 高職學生認知負荷調查正試問卷 151

    王文科(1991)。教育心理學。台北:五南圖書出版有限公司。
    宋曜廷(2000)。先前知識文章結構和多媒體呈現對文章學習的影響
    。國立臺灣師範大學教育心理與輔導研究所博士論文。
    李勝龍(2001)。資訊呈現媒體對高職學習者學習程式語言之影響。
    國立中央大學資訊管理研究所碩士論文。
    李咏吟(1998)。認知教學理論與策略。台北:心理。
    李美枝(1980)。社會心理學。台北:大洋出版社。
    林生傳(1988)。教育社會學。高雄:復文書局。
    林清山(1997)。教育心理學-認知取向。台北:遠流。
    教育部(1998)。工業職業學校課程標準暨設備標準。台北:教育部技職教育司。
    教育部(2005)。職業學校群科課程暫行綱要。台北:教育部技職教育司。
    徐易稜(2001)。多媒體呈現方式對學習者認知負荷與學習成效之影
    響研究。國立中央大學資訊管理研究所碩士論文。
    翁嘉鴻(2001)。以認知負荷觀點探討聽覺媒體物件之媒體呈現方式
    對學習成效之影響。國立中央大學資訊管理研究所碩士論文。
    張春興(1996)。教育心理學:三化取向的理論與實踐。台北市:
    台灣東華書局。
    郭生玉(2004)。教育測驗與評量。精華書局。
    郭璟諭(2002)。媒體組合方式與認知型態對學習成效與認知負荷之
    影響 。國立中央大學資訊管理研究所碩士論文。
    陳密桃(2003)。認知負荷理論及其對教學的啟示。國立高雄師範大
    學教育系教育學刊,21,29-51頁。
    陳彙芳(1998)。多媒體電腦輔助學習之實驗室研究-探討認知負荷
    對學習成效之影響。國立中央大學資訊管理研究所碩士論文。
    陳志宏(2005)電信國家型計畫結案報告,國科會。
    陳文義(2004)我國電機電子業現況及展望,電電公會檢討會簡報。
    陳明溥(1999)。認知負载對網路化學習之影響。國科會報告。
    陳李綢(1988)。學習策略的研究與教學。資優教育季刊,15-24。
    陳木炯(2003),〈台灣醫師心智負荷量表之發展與建立〉,中國醫藥學院醫務管理研究所碩士論文。
    邱皓政,2002,量化研究與統計分析:SPSS中文視窗版資料分析範例解析,五南圖書公司,台灣台北。
    覃湘晴(2005)。探討自我解釋對四年級學生閱讀不同表徵之學習教材的影響-以國小「繁殖」概念為例。國立臺灣師範大學科學教育研究所碩士論文。
    黃克文(1996)。認知負荷與個人特質及學習成就之關聯,國立台北
    師範學院國民教育研究所碩士論文。
    黃柏勳(2004)。課程與教學的研究新取向:認知負荷論。中等教育
    ,55(6),128-138頁。
    黃雪玲(民83),人機系統中動態工作配置之研究,行政院國家科學委員會專題研究計畫成果報告,頁16-25。
    臧俊維﹙2000﹚。高一學生小組合作學習教學法對數學學習態度影響之研究。國立高雄師範大學數學系碩士論文。
    劉信雄(1992)。國小學生認知風格與學習策略之研究。國立政治大學教育研究所博士論文。
    趙志揚、劉豐旗、莊智鋒、黃振盛(2003)。建構以學生為中心之高職新課程教學策略之研究。台北:教育部技術及職業教育司。
    電信總局,「2001年年度報告」,2002年。
    Baddeley, A.(1966). The capacity for generating information by randomization.Quarterly Journal of Experimental Psychology, 18, 119-130
    Bauer, L.O., Strock, B.D., Goldstein, R., Stern, J.A., and Walrath, L. C.(1985).Auditory discrimination and the eye-blink, Psychophysiology, 22(1985) 636-641
    Brunken, R, Plass, J. L., & Leutner, D. (2003). Direct measurement of
    cognitive load in multimedia learning.Educational Psychologist, 38(1), 53-61.
    Gerjects, P., & Scheiter, K. (2003). Goal configurations and processing
    strategies as moderators between instructional design and
    cognitive load : Evidence from hypertext-based instruction.
    Educational Psychologist, 38(1), 33-41.
    Cooper, G. E. and Harper, R.P. (1969, April). The use of pilot ratings in the evaluation of aircraft handling qualities (NASA Ames Technical Report,NASA TN-D-5153).Moffett Field, CA: NASA Ames Research Center
    Donchin, E. (1981). Event-related brain potentials: A tool in the study of human Information processing, in: Begleiter,H. (ed.) Evoked Potentials in Psychiatry (Plenum, New York1981)
    Duncan-Johnson, C.C., and Donchin, E. (1977). On quantifying surprise. The variation in event-related potentials with subjective probability, Psychophysiology, 14(1977) 456-467
    Hart, S.G. (1975, May). Time estimation as a secondary task to measure workload. Proceedings, 11th Annual Conference on Manual Control (NASA MX-62, N75-33679, 53), pp. 64-77.Washington, DC: U.S. Government Printing Office.
    Hart, S.G(1986). Theory and measurement of human workload.In J. Zeidner(Ed.). Human Productivity; Enhancement. New York: Praeger, 496-555
    Hart, S.G., and Staveland, T.E. (1988). Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. In: Hancock PA, Meshkati N, Eds. Human Mental Workload. Amsterdam: North-Holland, 1988:185
    Hendy, K.C., Hamilton, K.M., and Landry, L.N. (1993).Measuring subjective workload: When is a one scale better than many?, Human Factors, 35,579-601.
    Hicks, R.E., Miller, G.W., & Gaies, G. (1977). Concurrent processing demands and the experience of time in passing.American Journal of Psychology, 90, 431-446.
    Hill, S.G., Iavecchia, H.P., Byers, J.C., Bittner, A.C.,Zaklad, A.L. and Christ, R.E. (1992). Comparison of four subjective workload rating scales, Human Factors, 34, 429-439.
    Jahn D.W. (1973). A concept of operator workload in manual vehicle operation. Meckingheim, West Germany:Forschungsinstitut Antropotechnik.
    Jex, R. Henry (1988). Measuring mental workload: problems,progress, and promises. In: Hancock PA, Meshkati N, eds.Human Mental Workload. Amsterdam: North-Holland, 1988:185
    Kahneman, D. (1973). Attention and effort. Eaglewood Cliffs,NJ: Prentice-Hall, 1973.
    Lancy, I. (1967). Somatic response pattering and stress:Some revisions of activation theory. In M.H. Appeley and R.Trumball (Eds.), Psychological Stress: Issues in Research.New York: Appleton-Century-Crofts, 14-37
    Luximon, A. and Goonetilleke, S.R. (2001). Simplified subjective workload assessment technique. Ergonomics, 2001,Vol.44, No.3, 229-243.
    Mayer, R. E., Moreno, R., Boire, M., & Vagge, S.(1999).Maximizing
    Constructivist Learning From Multimedia Communications by
    Minimzing Cognitive Load. Journal of Educational Psychology,
    90(2), 312-320.
    Michon, J.A. (1966). Tapping regularity as a measure of perceptual motor load. Ergonomics, 9, 401-412
    Miller, G. S., Lehman, J. F., Koedinger, K. R. (1999). Goal and Learning
    in Microworlds. Cognitive Science, 23(3), 305-336.
    Mousavi, S. Y., Low, R. & Sweller, J.(1995). Reducing cognitive load by
    mixing auditory and visual presentation modes. Journal of
    Educational Psychology, 87(2), 319-334.
    Mulder, G. (1979). Sinus arrhythmia and mental workload. InN. oray(Ed.), Mental Workload: Its Theory and Measurement.New York: Plenum Press, 327-343
    Navon, D., and Gopher, D. (1979). On the economy of the human processing system. Psychological Review, 86, 254-255
    Norman, D. and Bobrow, D. (1975). On data-limited andresource —limited processing. Journal of Cognitive Psychology, 7, 44-60
    Norman, D. (1968). Toward a theory of memory and attention.Psychological Review, 75,522-536.
    O’Donnell, R. D. and Eggemeier, F. T. (1986). Workload assessment methodology, in K.R. Boff, L. Kaufman and J.P.Thomas (eds), Handbook of Perception and Human Performance,Vol. II, Cognitive Processes and Performance (New York:Wiley Interscience), 42-1 ~ 42-49.
    Owen, R.S. (1992). Consumer mental workload: meaning and measurement, Unpublished PhD thesis, Ohio State University, Ames.
    Park, D. (1979). Current workload methods and emerging challenges. In N. Moray(Ed.), Mental workload: Its theory and measurement. New York: Plenum Press.
    Pass, F. G. W. & Van Merrienboer, J. J. G. (1994). Variability of worked
    examples and transfer of geometrical problem solving: A cognitive
    load approach. Journal of Educational Psyhology, 86, 122-133.
    Pass, F. Renkle, A. & Sweller, J. (2003). Cognitive load theory and
    instructional design: Recent developments. Educational
    Psychologist, 38(1) ,1-4.
    Posner, M.I., and Boies, S.J. (1971). Components of attention. Psychological Review 78, 391-408
    Reid, G.B., and Nygren, T.E. (1988). The subjective workload assessment technique: a scaling procedure for measuring mental workload. In: Hancock PA, Meshkati N, eds. Human Mental Workload. Amsterdam: North-Holland, 1988:185
    Reid, G.B., Shingledecker, C., and Eggemeier, T. (1981).Application of conjoint measurement to workload scaledevelopment. In R. Sugarman(Ed), Proceedings, 25th annualmeeting of the Human Factors Society. Santa Monica, CA:Human Factors.
    Richard W. B. (1998). A comparison of factor analytic methods of obtaining cardiovascular autonomic components for the assessment of mental workload. Ergonomics, 1998, Vol.41,No.5, 733-745.
    Richard, W.B., and Kimberle, A.S. (1994). Metabolic and cardiorespiratory measures of mental effort: the effects of level of difficulty in a working memory task. International Journal of Psychophysiology, 16(1994) 57-68.
    Rohmert, W. and Laurig, W. (1971). Work measurement, Psychological and physiological techniques for assessing operator and workload. International Journal for Production Research, 9(1), 157-168.
    Sammer, G..(1998). Heart rate variability and respiratory changes associated with physical and mental load; non-liner analysis. Ergonomics, 1998, Vol.41, No.5, 746-755.
    Shachar, H., & Sharan, S. (1994). Talking, relating, and achieving:Effects of cooperative learning and wholeclass instruction. Cognition and Instruction, 12(4), 313-353.
    Sheridan, T. (1980). Mental Workload: What is it? Why bother with it? Human Factors Society Bulletin, 23, 1-2.1980.
    Sheridan, T., and Stassen, H. (1979). Definitions, models and measures of human workload. In N. Moray(Ed.), Mental workload: Its theory and measurement. New York: Plenum Press.
    Shiniji Miyake(2001) . Multivariate workload evaluation combining physiology and subjective measures. International Journal of Psychophysiology, 40(2001) 233-238
    Simon, H. A. (1974). How big is a chunk? , Science, 183, 482-488.
    Stern, J.A., and Skelly, J. J. (1984). The eye blink and workload considerations, Proceedings of the Human Factors Society (1984) 942-944
    Sweller ,J., Van Merrienboer, J. J. G. & Pass, F. G. W. C.(1998).
    Cognitive Architecture and Instructional design. Educational
    Psychology Review, 10(3), 251-285.
    Sweller, J.(1988). Cognitive load during problem solving: Effects on
    learning. Cognitive Science ,12 ,257-285.
    Sweller, J.(1989). Cognitive technology : some procedures for facilitating
    learning and problem solving in mathematics and science. Journal
    of Educational Psychology ,81, 457-466.
    Sweller, J.(1990). On the limit evidence for the strategies. Journal for
    Research in Mathematics Education, 21(5), 411-415.
    Sutton, S., Tueting, P., Zubin, J., John, E. R., (1967).Information delivery and the sensory evoked potential,Science, 155(1967) 1436-1439
    Wickens, Christopher..D.(1980). Processing resources in attention. In R. Parasuraman and R. Davies (Eds.), Varieties of attention. New York : Academic Press.
    Wickens , Christopher. D.(1984). Enginerring psychology and human performance. Glenview, Illinois : Scott, Foresman and company.
    Wilson, G. F. and Eggemeier, F. T. (1991). Psycho-physiological ssessment of workload in multi-task environments, in D. L. Damos (ed.), Multiple-Task Performance (London: Taylor & Francis), 329-360
    Wierwille, W.W. and Connor, S.A. (1983).Evaluation of 20 workload measures using a psychomotor task in a moving-base aircrafts simulator, Human Factor, 25, 1-16
    Wierwille, W.W. and Eggemeier, T.F.(1993). Recommendations for mental workload measurement in a test and evaluation environment, Human Factors, 1993, 35(2), 263-281.
    Wierwille, W.W., and Williges, R.C.(1978, September).Survey and analysis of operator workload assessmenttechniques. (Report No. S-78-101). Blacksburg, VA:Systemetrics, Inc.
    Valcke, M. (2002). Cognitive load: Updating the memory? Learning and
    Instruction, 12 , 147-154.
    Vollmeyer, R., Burns, B. D., & Holyoak, K. J. (1996). The impact of goal
    specificity and systematicity of strategies on the acquisition of
    problem structure. Cognitive Science, 20, 75-100.
    Yeung, A. S., Jin, P., & Sweller, S. (1998). Cognitive load and learner
    expertise : Split-attention and redundancy effects in reading with
    explanatory notes. Contemporary Educational Psychology, 23 ,
    1-21.

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