研究生: |
王逸翔 Wang, Yi-Shiang |
---|---|
論文名稱: |
基於腦波注意力之影音教材學習診斷系統 Developing a Learning Diagnosis System of Video Lecture Based on Attention Recognition Technology |
指導教授: |
陳志銘
Chen, Chih-Ming 洪欽銘 Hong, Chin-Ming |
學位類別: |
碩士 Master |
系所名稱: |
電機工程學系 Department of Electrical Engineering |
論文出版年: | 2015 |
畢業學年度: | 103 |
語文別: | 中文 |
論文頁數: | 102 |
中文關鍵詞: | 注意力 、學習成效 、自主複習診斷 、腦波注意力之影音教材學習診斷系統 |
英文關鍵詞: | attention, learning outcome, autonomous review and diagnosis, brainwave attention video and audio material assisted learning diagnosis system |
論文種類: | 學術論文 |
相關次數: | 點閱:176 下載:8 |
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近幾年來數位學習的發展日新月異,改變了以往在課堂上由教師面對面授課的傳統教學模式,科技的輔助也讓數位化的教學模式越來越多元,電腦輔助學習將課程、教材與教學結合於資訊科技中,科技輔助學習,對於學生的學習成效與問題解決能力都有所提升。注意力一直都被視為是影響學習成效的關鍵因素,但受限於注意力偵測技術的發展困難問題,過去鮮少研究發展提升學習注意力的科技輔助工具。因此,本研究發展出一套基於腦波注意力之影音教學學習診斷系統。以驗證此一基於腦波注意力發展之影音教材學習診斷系統對於提升複習學習成效及注意力的影響,比較出採用注意力複習診斷系統的實驗組學習者與採用自主複習診斷系統的控制組學習者在複習學習成效、複習注意力、認知負荷與複習滿意度上的影響差異。此外,亦進一步探討學習者採用兩種不同複習診斷機制,對於不同性別、注意力高低,以及場地獨立與場地依賴不同認知風格學習者所產生之複習學習成效、複習注意力、認知負荷與複習滿意度的差異影響。
實驗結果發現:(1)採用基於腦波注意力之影音教材學習診斷系統實驗組學習者的複習學習成效顯著優於採用自主複習診斷控制組學習者;(2)採用基於注意力之影音教材學習診斷系統複習之女性學習者的複習學習成效顯著優於採用自主複習診斷;(3)採用基於注意力之影音教材學習診斷系統複習之低注意力學習者的學習成效顯著優於採用自主複習診斷;(4)採用基於注意力之影音教材學習診斷系統複習之場地依賴型學習者的學習成效顯著優於採用自主複習診斷方法;(5)採用自主複習診斷複習之場地依賴型學習者的認知負荷顯著高於採用基於注意力之影音教材學習診斷系統;(6)採用基於注意力之影音教材學習診斷系統與自主複習診斷的高注意力學習者在複習注意力上顯著優於低注意力學習者;(7)採用基於注意力之影音教材學習診斷系統複習之場地獨立型學習者的認知負荷顯著高於場地依賴型學習者;(8)採用自主複習診斷男性學習者的複習滿意度顯著高於女性學習者;(9)採用自主複習診斷場地獨立型學習者的複習滿意度顯著高於場地依賴型學習者。
The changing development of e-learning in last years has changed the traditional face to face teaching; and, the assistance of technology also allows e-learning being diversified. Computer assisted learning integrates curricula, materials, and teaching into information technology so that technology assisted learning could enhance students’ learning outcome and problem-solving abilities. Attention has been regarded as a key factor in learning outcome; however, the development of technology assisted instruments to enhance learning attention is seldom researched because of the restriction to the difficulty in attention detection technologies. A brainwave attention based video and audio material assisted learning diagnosis system is therefore developed in this study to verify the effects on the promotion of review learning outcome and attention as well as to compare the effects on the review learning outcome, review attention, cognitive load, and review satisfaction between learners in the experimental group applying the attention based review diagnosis system and those in the control group adopting autonomous review and diagnosis system. Furthermore, the effects of learners with different gender, attention and cognitive style, including field independence and field dependence, on the review learning outcome, review attention, cognitive load, and review satisfaction are also investigated.
The experimental results are summarized as following. (1) Learners in the experimental group applying brainwave attention based video and audio material assisted learning diagnosis system significantly outperform those in the control group adopting autonomous review and diagnosis on review learning outcome. (2) Female learners applying attention based video and audio material assisted learning diagnosis system remarkably outperform those adopting autonomous review and diagnosis on the review learning outcome. (3) Low-attention learners applying attention based video and audio material assisted learning diagnosis system notably outperform those adopting autonomous review and diagnosis on the review learning outcome. (4) Field dependent learners applying attention based video and audio material assisted learning diagnosis system outperform those adopting autonomous review and diagnosis on the review learning outcome. (5) Field dependent learners applying autonomous review and diagnosis review present significantly higher cognitive load than those adopting attention based video and audio material assisted learning diagnosis system. (6) High-attention learners applying attention based video and audio material assisted learning diagnosis system and autonomous review and diagnosis outperform low-attention learners on the review attention. (7) Field independent learners adopting attention based video and audio material assisted learning diagnosis system to the review reveal remarkably higher cognitive load than field dependent learners. (8) Male learners applying autonomous review and diagnosis show notably higher review satisfaction than female learners. (9) Field independent learners adopting autonomous review and diagnosis present significantly higher review satisfaction than field dependent learners do.
中文部分
王全世(2000)。資訊科技融入教學之意義與內涵。國立高雄師範大學資訊教育研究所碩士論文,高雄市。
王克先(1987)。學習心理學。臺北:桂冠。
宋淑慧(1991)。多向度注意力測驗編製之研究。未出版之碩士論文,國立彰化師範大學特殊教育研究所,彰化市。
林宓(2014)。基於腦波注意力發展數位筆結合紙本學習情境之英語診斷複習系統。未出版之碩士論文,國立臺灣師範大學工業教育研究所,台北市。
羅貝珍(2011)。應用點讀筆提升英語朗讀流暢度、學習動機及學習滿意度研究。未出版之碩士論文,國立政治大學,臺北市。
朱永方(2005)。認知風格在SCORM2004SN不同瀏覽順序對學習成效之研究。國立高雄師範大學資訊教育研究所碩士論文,高雄市。
徐新逸(2002)。資訊融入教學的現代意義與具體作為。淡江大學教育科技學系碩士論文,新北市。
張亦華(2001)。美國中小學美素教學應用科技之現況及其對我國九年一貫視覺藝術教學之啟示。國教輔導,第40卷6期,頁26-33。
張春興(1994)。教育心理學─三化取向的理論與實踐。台北:東華。
張淵順(2014)虛擬教室結合頭戴式顯示器之注意力偵測設計及準確度分析與研究。未出版之碩士論文,國立中央大學資訊工程研究所,桃園市。
陳木金(2009)。認知學徒制理論對精進教師教學傳習的啟示【部落格文字資料】。取自http://nccuir.lib.nccu.edu.tw/bitstream/140.119/38144/1/5-46.pdf。
陳冠雯(2014)。點讀筆支援紙本繪本閱讀對於兒童閱讀動機、情緒、注意力與理解成效之影響研究。未出版之碩士論文,國立政治大學,臺北市。
陳淑樺(2007)。淺談記憶缺陷特殊兒童增進記憶之教學策略。網路社會學通訊期刊,第62期。
黃秉紳(2006)。運用專注力提升國小學童學習自我效能之研究。網路社會學通訊期刊,56。
廖允在(2007)。腦波即時監控系統開發:音樂對腦波影響之案例研究。國立雲林科技大學電子工程研究所碩士班碩士論文,雲林縣。
臺鳳英(2003)。教學語言之使用對以英語為外語之高中生英語學習成效之影響。未出版之碩士論文,國立臺灣師範大學英語學系,台北市。
潘鈺筠、林紀慧 (2011)。數位課程圖像引導游標對學習注意力與學習成效影響之研究。課程研究,第6卷1期,頁51-80。
蔡文瓊(2009)。電子白板小組系統化複習策略對國小學童英語學習成效之研究。國立嘉義大學教育科技研究所碩士論文,嘉義縣。
鄭昭明(2006)。認知心理學:理論與實踐。台北:桂冠。
鄭勝仁(2003)。具學習支援及診斷之線上電子書學習系統。國立中央大學資訊工程研究所碩士論文,桃園市。
簡梨蓉(2009)。故事結構教學策略對國小輕度智能障礙學生閱讀理解成效之研究。未出版之碩士論文,國立台東大學特殊教育學系碩士在職專班,台東縣。
顏永森、胡學程、柯天哲(2011)。數位學習注意力對學習成效影響之研究。T&D飛訊,第112卷,頁1-21。
蘇欣欣(2013)。多媒體影音教材之學習注意力引導對於提升學習成效的影響研究。未出版之碩士論文,國立政治大學,臺北市。
蘇琲雯 (2001)。電腦融入教學對學習障礙兒童語句學習成效及其注意力行為之影響。國立臺北教育大學特殊教育學系碩士論文,台北市。
英文部分
Adamo-Villani, N., Wilbur, R., & Wasburn, M. (2008, July). Gender differences in usability and enjoyment of VR educational games: A study of SMILE™. In Visualisation, 2008 International Conference (pp. 114-119). IEEE.
Amlund, J. T., Kardash, C. A. M., & Kulhavy, R. W. (1986). Repetitive reading and recall of expository text. Reading Research Quarterly, 49-58.
Angeli, C., & Valanides, N. (2013). Technology mapping: An approach for developing technological pedagogical content knowledge. Journal of Educational Computing Research, 48(2), 199-221.
Arroyo, I., Woolf, B. P., Cooper, D. G., Burleson, W., & Muldner, K. (2011, July). The impact of animated pedagogical agents on girls' and boys' emotions, attitudes, behaviors and learning. In Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on (pp. 506-510). IEEE.
Biggs, J. B. (1978). Individual and group differences in study processes. British Journal of Educational Psychology, 48(3), 266-279.
Bransford, J. D. (1979). Human cognition: Learning, understanding and remembering. Belmont, C. A.: Wadsworth .
Broadbent, D. E. (1958). Perception and communication. London: Pergamon press.
Chandler, P., Cooper, G., Pollock, E., & Tindall-Ford, S. (1998). Applying cognitive psychology principles to education and training. AARE98 Annual Conference.
Chen, C. M. & Huang, S. H. (2013). Web-based reading annotation system with an attention-based self-regulated learning mechanism for promoting reading performance. British Journal of Educational Technology, 45(5), 959-980.
Chen, C. M., Tan, C. C., & Lo, B. J. (2013). Facilitating English-language learners' oral reading fluency with digital pen technology. Interactive Learning Environments, DOI: 10.1080/10494820.2013.817442.
Clark, R. C., Nguyen, F., & Sweller, J. (2006). Efficiency in learning: Evidence-based guide-lines to manage cognitive load. San Francisco, CA: Pfeiffer.
Eid, M., & Fernandez, A. (2013). ReadGoGo!: Towards real-time notification on readers' state of attention. 2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT), pp. 1-6.
Feinberg, S., & Murphy, M. (2000). Applying cognitive load theory to the design of Web-based instruction (pp. 353–360). Presented at the Professional Communication Conference, 2000. Proceedings of 2000 Joint IEEE International and 18th Annual Conference on Computer Documentation (IPCC/SIGDOC 2000), IEEE.
Gerjets, 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.
Goldstein,K.M.,& Blackman,S.(1978).Cognitive style. New York:John Wiley & Sons.
Howard, J. R., Watson, J. A., & Allen, J. (1993). “Cognitive style and the selection of Logo problem-solving strategies by young black children,” Journal of Educational Computing Research, 9(3), 339-354.
J. R. Wolpaw, N. Birbaumer, D. J. McFarland, G. Pfurtscheller, T. M. Vaughan.(2002).Brain-computer interfaces for communication and control. Clin. Neurophysiol., Vol. 113, pp. 767-791.
Jamerson, J. (2002) Helping all children learn: action research project. Available at: http://www.smarterkids.org/research/paper15.asp. Accessed 15th June 2003.
James, W. (1983). The principles of psychology. New York: Holt.
Keefe, J. W, (1979). Learning style:An overview. In kierman O.B.ed: Student learning styles. NASSP Reston, Virginia.
Kiewra, K. A., DuBois, N. F., Christian, D., McShane, A., Meyerhoffer, M., & Roskelley, D. (1991). Note-taking functions and techniques. Journal of Educational Psychology, 83(2), 240-245.
Lyon, G. R., & Krasnegor, N. A. (2001). Attention, Memory and Executive Function Paul H. Brookes Publishing Co., Baltimore, MD.
M Murugappan, R Nagarajan, & Sazali Yaacob.(2009). Appraising Human Emotions using Time Frequency Analysis based EEG Alpha Band Features. Conference on Innovative Technologies in Intelligent Systems and Industrial Applications.
Magoulas, G. D., Chen, S. Y., & Dimakopoulos, D. (2004). A personalised interface for web directories based on cognitive styles. In User-Centered Interaction Paradigms for Universal Access in the Information Society (pp. 159-166). Springer Berlin Heidelberg.
Matthews, J. S., Ponitz, C. C., McClelland, M. M., & Morrison, F. J. (2009). A structured observation of behavioral self-regulation and its contribution to kindergarten outcomes. Developmental psychology, 45(3), 605.
NeuroSky, Inc.(2012)。NeuroSky-人人可用的腦電波感測器。檢自:http://www.neurosky.com,上網日期:2014 年6 月1 日。
Paas, F. G., & Van Merriënboer, J. J. (1994). Variability of worked examples and transfer of geometrical problem-solving skills: A cognitive-load approach. Journal of educational psychology, 86(1), 122.
R. Scherer, G. R. Müller, C. Neuper, B. Graimann, and G. Pfurtscheller.(2004). An asynchronously controlled EEG-based virtual keyboard: improvement of the spelling rate. IEEE Trans. Biomedical Engineering, vol. 51, no. 6, pp. 979–984.
Ready, D. D., LoGerfo, L. F., Burkam, D. T., & Lee, V. E. (2005). Explaining girls’ advantage in kindergarten literacy learning: Do classroom behaviors make a difference?. The Elementary School Journal, 106(1), 21-38.
Reisberg, D. (1997). Cognition: Exploring the science of the mind. New York: Norton & Co.
Richardson, A. (1977). Verbalizer-visualizer: A cognitive style dimension.Journal of Mental Imagery, 1(1), 109-126.
Sohlberg, M. M., & Mateer, C. A. (1987). Effectiveness of an attention training program. Journal of Clinical and Experimental Neuropsychology, 9, 117-130.
Strand, S., Deary, I. J., & Smith, P. (2006). Sex differences in cognitive abilities test scores: A UK national picture. British Journal of Educational Psychology, 76(3), 463-480.
Streufert, S., & Nogami, G. Y. (1989). Cognitive style and complexity: Implications for I/O psychology.
Sweller, J. (2003). Evolution of human cognitive architecture. In B. Ross (Ed.), The Psychology of Learning and Motivation. San Diego: Academic Press.
Sweller, J., Van Merrienboer, J.J.G., and Paas, F.G.W.C. (1998). Cognitive architecture and instructional design, Educational Psychology Review, 10(3), 251-297.
Taylor, D., & Lorimer, M. (2003). Helping Boys Succeed. Educational Leadership, 60(4), 68-70.
Thomas, K. P., Vinod, A. P., & Guan, C. (2013, July). Design of an online EEG based neurofeedback game for enhancing attention and memory. In Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE (pp. 433-436). IEEE.
van der Meer, J.(2012).Students' note-taking challenges in the twenty-first century: Considerations for teachers and academic staff developers.Teaching in Higher Education,17(1),13-23.
Wan, Z., He, J., & Voisine, A. (2013). An Attention Level Monitoring and Alarming System for the Driver Fatigue in the Pervasive Environment. In Brain and Health Informatics (pp. 287-296). Springer International Publishing.
Warrick, P. D., & Naglieri, J. A. (1993). Gender differences in planning, attention, simultaneous, and successive (PASS) cognitive processes. Journal of Educational Psychology, 85(4), 693.
Wicks-Nelson, R., & Israel, A. C. (2000). Behavior disorders of childhood (4 th ed).Saddle River, NJ: Prentice Hall.
Witkin, H. A., & Goodenough, D. R. (1977). Field dependence and interpersonal behavior. Psychological bulletin, 84(4), 661.
Witkin, H. A., Moore, C. A., Goodenough, D. R., & Cox, P. W. (1977). Field dependent and field independent cognitive styles and their educational implications. Review of Educational Research, 47, 1–65.
Witkin, H. A., Oltman, P. K., Raskin, E., & Karp, S. A. (1971). Group embedded figures test manual. CA: Consulting Psychologist Press.
Zheng, Y., Zhu, G., Jiang, S., Huang, Q., & Gao, W. (2008). Visual-aural attention modeling for talk show video highlight detection. 16th International Symposium on Consumer Electronics. Symposium conducted at the meeting of the Harrisburg City, PA.