簡易檢索 / 詳目顯示

研究生: 林維彥
Wei-Yan Lin
論文名稱: 擴增實境閱讀歷程與學習成效相關分析:以民間信仰文化展覽之應用為例
Correlation analysis between reading process and learning performance in augmented reality context: An application of Taiwanese folk belief cultural exhibition
指導教授: 蔡孟蓉
Meng-Jung Tsai
口試委員: 梁至中
Jyh-Chong Liang
楊芳瑩
Fang-Ying Yang
學位類別: 碩士
Master
系所名稱: 人文社會學院 - 數位學習與教育研究所
Graduate Institute of Digital Learning and Education
論文出版年: 2015
畢業學年度: 103
語文別: 中文
論文頁數: 129
中文關鍵詞: 眼動追蹤先備知識信念科技接受度認知負荷閱讀理解成效擴增實境
外文關鍵詞: eye-tracking, prior knowledge, belief, technology acceptance, cognitive load, reading comprehension, augmented reality
相關次數: 點閱:383下載:2
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本研究旨在藉由符合實際民間信仰文化展場的情境佈置,瞭解學習者在加入智慧型手機擴增實境連結影片的展覽中,其先備知識、信念、科技接受度、認知負荷、視覺注意力分佈以及閱讀理解成效之間的關係。本研究以眼球追蹤系統記錄受試者的閱讀歷程,並配合問卷調查民間信仰先備知識、民間信仰信念、科技接受度、認知負荷以及閱讀理解成效,受試者為臺灣北部35位大學生與研究生。研究結果顯示,大學生與研究生對於智慧型手機擴增實境連結影片應用在民間信仰文化展覽中是可接受的;先備知識能夠預測認知負荷,信念和科技接受度能夠預測認知負荷與視覺注意力分佈情形,視覺注意力能夠預測閱讀理解成效,而認知負荷與視覺注意力之間則存在顯著關聯性;同時,本研究亦發現對於智慧型手機擴增實境連結影片的素材特性評分、認知易用性、認知有用性以及使用態度不同的大學生和研究生,在本研究的民間信仰文化展覽中有不同的觀看路徑模式。根據以上結果,本研究對民間信仰文化展覽和未來研究提出建議。


    The purpose of this study was to explore the relationships among prior knowledge, belief, technology acceptance, visual behavior, and reading comprehension of a Taiwanese folk belief exhibition using augmented reality (AR) technology on a smart phone. Thirty-five graduate students and undergraduate students participated in this study. A mobile eye-tracking system was used to record the participants’ reading process. Prior knowledge, belief of Taiwanese folk religion, technology acceptance, cognitive load, and reading performance were collected by questionnaires and tests. Results showed that videos linked by the augmented reality on a smart phone were acceptable for the participants in this study. In addition, the participants’ prior knowledge, belief and technology acceptance could predict their perceived cognitive load. Belief and technology acceptance could also predict their visual behaviors while watching the exhibition; and their visual behaviors could predict their reading comprehension significantly. Meanwhile, there were significant relationships between participants’ perceived cognitive loads and visual attention distributions. Furthermore, there were different visual behavior patterns for participants who held different attitudes toward AR technology in terms of material characteristic, perceived ease of use, perceived usefulness, and attitudes toward use. Finally, according to the results, several suggestions were provided for future studies and designs of Taiwanese folk belief cultural exhibitions.

    摘要 I ABSTRACT II 誌謝 III 目錄 IV 圖目錄 VIII 表目錄 IX 第壹章、 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 研究架構 3 第四節 研究問題 3 第五節 名詞解釋 4 第貳章、 文獻探討 6 第一節 擴增實境 6 一、 擴增實境概念發展 6 二、 擴增實境技術之特性與分類 6 三、 導入擴增實境技術之教育相關研究 7 第二節 信念 8 一、 信念模型架構 8 二、 信念與行為相關研究 9 三、 信念之數位學習相關研究 10 第三節 科技接受度 11 一、 影響科技接受度之因素 11 二、 科技接受度測量方法 11 三、 科技接受度相關研究 12 第四節 認知負荷 12 一、 認知負荷之理論基礎 12 二、 認知負荷類型 13 三、 認知負荷測量方法 13 四、 認知負荷相關研究 14 第五節 眼動分析方法 16 一、 眼動研究假設 16 二、 眼動指標選擇 16 三、 數位學習相關之眼動研究 18 第六節 非正規學習 19 一、 非正規學習定義 19 二、 非正規學習導入行動載具相關研究 20 三、 擴增實境技術應用於非正規學習相關研究 20 第七節 文獻總結 21 第參章、 研究方法 22 第一節 研究對象 22 第二節 研究工具 22 一、 背景問卷 22 二、 民間信仰信念問卷 22 三、 科技接受度問卷 23 四、 認知負荷問卷 24 五、 閱讀理解成效測驗 24 六、 半結構式訪談架構 24 七、 眼球追蹤儀器設備 25 第三節 學習素材 25 第四節 實驗流程 26 第五節 資料處理 28 第六節 資料分析 34 第肆章、 研究結果 37 第一節 描述性統計 37 第二節 相關分析 38 一、 民間信仰先備知識與認知負荷之相關分析 39 二、 民間信仰先備知識與眼動指標之相關分析 40 三、 民間信仰信念與認知負荷之相關分析 42 四、 民間信仰信念與眼動指標之相關分析 43 五、 科技接受度與認知負荷之相關分析 47 六、 科技接受度與眼動指標之相關分析 50 七、 認知負荷與眼動指標之相關分析 56 八、 認知負荷與閱讀理解成效之相關分析 62 九、 眼動指標與閱讀理解成效之相關分析 63 第三節 路徑分析 67 一、 先備知識、民間信仰信念與科技接受度對於認知負荷的預測性 67 二、 先備知識、民間信仰信念與科技接受度對於眼動指標的預測性 71 三、 眼動指標對於閱讀理解成效的預測性 75 四、 先備知識、民間信仰信念、科技接受度、認知負荷、視覺注意力分佈情形與閱讀理解成效的路徑圖 76 第四節 序列分析 79 一、 以系統特性分組的觀看路徑模式 79 二、 以素材特性分組的觀看路徑模式 80 三、 以認知易用性分組的觀看路徑模式 82 四、 以認知有用性分組的觀看路徑模式 84 五、 以使用態度分組的觀看路徑模式 86 六、 以使用意願分組的觀看路徑模式 88 第伍章、 結論與建議 90 第一節 結論與討論 90 一、 智慧型手機擴增實境連結影片的科技接受度情形 90 二、 先備知識在認知負荷和視覺注意力所扮演的角色 90 三、 民間信仰信念在認知負荷和視覺注意力所扮演的角色 91 四、 科技接受度在認知負荷和視覺注意力所扮演的角色 92 五、 認知負荷與眼動指標之間的關聯性 93 六、 認知負荷在眼動指標在閱讀理解成效所扮演的角色 95 七、 不同科技接受度的受試者在素材間表現出不同的觀看路徑 95 第二節 建議 96 一、 未來民間信仰文化展覽的應用與建議 96 二、 未來研究建議 96 參考文獻 98 附錄 107 附錄一、 背景問卷 107 附錄二、 民間信仰信念問卷 108 附錄三、 科技接受度問卷 109 附錄四、 認知負荷問卷 112 附錄伍、 閱讀理解成效測驗 114 附錄六、 半結構式訪談架構 117 附錄七、 實驗同意書 118

    林美容(民82)。臺灣人的社會與信仰。臺北市:自立晚報。
    林美容(民89)。鄉土史與村庄史─人類學者看地方。臺北市:臺原。
    林淑鈴(民101)。由宗族、角頭、聚落到跨聚落:集體動員下的「六堆天后宮」。載於葉樹珊(總編輯),2012臺中媽祖國際觀光文化節─媽祖國際學術研討會論文集(117-138頁)。臺中市:臺中市政府文化局。
    溫宗翰(民101)。論媽祖信仰與儀式的春季祭儀性質─以臺中、彰化、南投為核心。載於葉樹珊(總編輯),2012臺中媽祖國際觀光文化節─媽祖國際學術研討會論文集(165-178頁)。臺中市:臺中市政府文化局。
    Agudo-Peregrina, A. F., Hernandez-Garcia, A., & Pascual-Miguel, F. J. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301-314.
    Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
    Anderson, O. R., Love, B. C., & Tsai, M. J. (2014). Neuroscience Perspectives for Science and Mathematics Learning in Technology-Enhanced Learning Environments. International Journal of Science and Mathematics Education, 12(3), 467-474.
    Armitage, C. J. & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta-analytic review. British Journal of Social Psychology, 40, 471-499.
    Azuma, R. T. (1997). A survey of augmented reality. Presence Teleoperators and Virtual Environments, 6(4), 355-385.
    Baddeley, A. D. (1992). Working Memory. Science, 255(5044), 556-559.
    Bujak, K. R., Radu, I., Catrambone, R., MacIntyre, B., Zheng, R., & Golubski, G. (2013). A psychological perspective on augmented reality in the mathematics classroom. Computers & Education, 68, 536-544.
    Canham, M. & Hegarty, M. (2010). Effects of knowledge and display design on comprehension of complex graphics. Learning and Instruction, 20(2), 155-166.
    Caudell, T. P. & Mizell, D. W. (1992). Augmented reality: An application of heads-up display technology to manual manufacturing processes. Proceedings of the Twenty-Fifth Hawaii International Conference on System Science, 659-669.
    Chang, K. E., Chang, C. T., Hou, H. T., Sung, Y. T., Chao, H. L., & Lee, C. M. (2014). Development and behavioral pattern analysis of a mobile guide system with augmented reality for painting appreciation instruction in an art museum. Computers & Education, 71, 185-197.
    Chang, C. C. & Yang, F. Y. (2010). Exploring the cognitive loads of high-school students as they learn concepts in web-based environments. Computers & Education, 55(2), 673-680.
    Charitonos, K., Blake, C., Scanlon, E., & Jones, A. (2012). Museum learning via social and mobile technologies: (How) can online interactions enhance the visitor experience? British Journal of Educational Technology, 43(5), 802-819.
    Chau, P. Y. K. (1996). An empirical investigation on factors affecting the acceptance of CASE by systems developers. Information & Management, 30(6), 269-280.
    Chen, C. Y., Chang, B. R., & Huang, P. S. (2014). Multimedia augmented reality information system for museum guidance. Personal and Ubiquitous Computing, 18(2), 315-322.
    Chen, C. C. & Huang, T. C. (2012). Learning in a u-Museum: Developing a context-aware ubiquitous learning environment. Computers & Education, 59(3), 873-883.
    Chen, Y. C. & Yang, F. Y. (2014). Probing the relationship between process of spatial problems solving and science learning: an eye tracking approach. International Journal of Science and Mathematics Education, 12(3), 579-603.
    Cheng, K. H. & Tsai, C. C. (2013). Affordances of Augmented Reality in Science Learning: Suggestions for Future Research. Journal of Science Education and Technology, 22(4), 449-462.
    Cheon, J. & Grant, M. M. (2012). The effects of metaphorical interface on germane cognitive load in Web-based instruction. Etr&D-Educational Technology Research and Development, 60(3), 399-420.
    Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 59(3), 1054-1064.
    Cierniak, G., Scheiter, K., & Gerjets, P. (2009). Explaining the split-attention effect: Is the reduction of extraneous cognitive load accompanied by an increase in germane cognitive load? Computers in Human Behavior, 25(2), 315-324.
    Conway, A. R. A. (1996). Individual Differences in Working Memory Capacity: More Evidence for a General Capacity Theory. Memory, 4(6), 577-590.
    Cohen, A. B., Shariff, A. F., & Hill, P. C. (2008). The accessibility of religious beliefs. Journal of Research in Personality, 42(6), 1408-1417.
    Cox, M. J. (2013). Formal to informal learning with IT: research challenges and issues for e-learning. Journal of Computer Assisted Learning, 29(1), 85-105.
    Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
    Greaves, M., Zibarras, L. D., & Stride, C. (2013). Using the theory of planned behavior to explore environmental behavioral intentions in the workplace. Journal of Environmental Psychology, 34, 109-120.
    Han, H., Hsu, L. T., & Sheu, C. (2010). Application of the Theory of Planned Behavior to green hotel choice: Testing the effect of environmental friendly activities. Tourism Management, 31(3), 325-334.
    Ho, H. N. J., Tsai, M. J., Wang, C. Y., & Tsai, C. C. Prior knowledge and online inquiry-based science reading: Evidence from eye tracking. International Journal of Science and Mathematics Education, 12(3), 525-554.
    Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Jarodzka, H., & Van de Weijer, J. (2011). Eye tracking: A comprehensive guide to methods and measures. New York, NY: Oxford University Press.
    Huang, Y. M., Huang, Y. M., Huang, S. H., & Lin, Y. T. (2012). A ubiquitous English vocabulary learning system: Evidence of active/passive attitudes vs. usefulness/ease-of-use. Computers & Education, 58(1), 273-282.
    Huk, T. & Ludwigs, S. (2009). Combining cognitive and affective support in order to promote learning. Learning and Instruction, 19(6), 495-505.
    Hwang, G. J., Wu, P. H., Zhuang, Y. Y., & Huang, Y. M. (2013). Effects of the inquiry-based mobile learning model on the cognitive load and learning achievement of students. Interactive Learning Environments, 21(4), 338-354.
    Hwang, G. J., Kuo, F. R., Chen, N. S., & Ho, H. J. (2014). Effects of an integrated concept mapping and web-based problem-solving approach on students' learning achievements, perceptions and cognitive loads. Computers & Education, 71, 77-86.
    Hyona, J. (2010). The use of eye movements in the study of multimedia learning. Learning and Instruction, 20(2), 172-176.
    Jacob, R. J. K. & Karn, K. S. (2003). Commentary on Section 4 - Eye Tracking in Human-Computer Interaction and Usability Research: Ready to Deliver the Promises. The Mind's Eye (pp. 573-605). Amsterdam: North-Holland.
    Jarodzka, H., Scheiter, K., Gerjets, P., & van Gog, T. (2010). In the eyes of the beholder: How experts and novices interpret dynamic stimuli. Learning and Instruction, 20(2), 146-154.
    Just, M. A. & Carpenter, P. A. (1980). A theory of reading: from eye fixations to comprehension. Psychological review, 87(4), 329-354.
    Just, M. A. & Carpenter, P. A. (1992). A capacity theory of comprehension: Individual differences in working memory. Psychological review, 99(1), 122-149.
    Kaakinen, J. K., Hyona, J., & Keenan, J. M. (2002). Perspective effects on online text processing. Discourse Processes, 33(2), 159-173.
    Kalyuga, S. (2009). Knowledge elaboration: A cognitive load perspective. Learning and Instruction, 19(5), 402-410
    Keil, M., Beranek, P. M., & Konsynski, B. R. (1995). Usefulness and ease of use: field study evidence regarding task considerations. Decision Support Systems, 13(1), 75-91.
    Kumar, A., Page, J. K., & Spalt, O. G. (2011). Religious beliefs, gambling attitudes, and financial market outcomes. Journal of Financial Economics, 102(3), 671-708.
    Lai, M. L., Tsai, M. J., Yang, F. Y., Hsu, C. Y., Liu, T. C., Lee, S. W. Y., …Tsai, C. C. (2013). A review of using eye-tracking technology in exploring learning from 2000 to 2012. Educational Research Review, 10(0), 90-115.
    Lau, S. H. & Woods, P. C. (2009). Understanding the behavior changes in belief and attitude among experienced and inexperienced learning object users. Computers & Education, 52(2), 333-342.
    Lee, M. C. & Tsai, T. R. (2010). What Drives People to Continue to Play Online Games? An Extension of Technology Model and Theory of Planned Behavior. International Journal of Human-Computer Interaction, 26(6), 601-620.
    Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204.
    Lin, J. J. H. & Lin, S. S. J. (2014). Cognitive load for configuration comprehension in computer-supported geometry problem solving: An eye movement perspective. International Journal of Science and Mathematics Education, 12(3), 605-627.
    Liversedge, S. P., Paterson, K. B., & Pickering, M. J. (1998). Chapter 3 - Eye Movements and Measures of Reading Time. Eye Guidance in Reading and Scene Perception (pp. 55-75). Amsterdam: Elsevier Science Ltd.
    Lowe, R. K. (2003). Animation and learning: selective processing of information in dynamic graphics. Learning and Instruction, 13(2), 157-176.
    Mason, L., Tornatora, M. C., & Pluchino, P. (2013). Do fourth graders integrate text and picture in processing and learning from an illustrated science text? Evidence from eye-movement patterns. Computers & Education, 60(1), 95-109.
    Mayer, R. E. & Moreno, R. (2003). Nine Ways to Reduce Cognitive Load in Multimedia Learning. Educational Psychologist, 38(1), 43-52.
    Milgram, P. & Kishino, F. (1994). A taxonomy of mixed reality visual displays. IEICE Transactions on Information and Systems, E77(12), 1321-1329.
    Moon, J. W. & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217-230.
    Paas, F. & Ayres, P. (2014). Cognitive Load Theory: A Broader View on the Role of Memory in Learning and Education. Educational Psychology Review, 26(2), 191-195.
    Paas, F., Tuovinen, J. E., Tabbers, H., & van Gerven, P. W. M. (2003). Cognitive load measurement as a means to advance cognitive load theory. Educational Psychologist, 38(1), 63-71.
    Radu, I. (2014). Augmented reality in education: a meta-review and cross-media analysis. Personal and Ubiquitous Computing, 18(6), 1533-1543.
    Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124(3), 372-422.
    Shih, J. L., Chu, H. C., Hwang, G. J., & Kinshuk (2011). An investigation of attitudes of students and teachers about participating in a context-aware ubiquitous learning activity. British Journal of Educational Technology, 42(3), 373-394.
    Shu, T., Sulaeman, J., & Yeung, P. E. (2012). Local Religious Beliefs and Mutual Fund Risk-Taking Behaviors. Management Science, 58(10), 1779-1796.
    Subramanian, G. H. (1994). A Replication of Perceived Usefulness and Perceived Ease of Use Measurement. Decision Sciences, 25(5-6), 863-874.
    Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4(4), 295-312.
    Sweller, J. & Chandler, P. (1994). Why Some Material Is Difficult to Learn. Cognition and Instruction, 12(3), 185-233.
    Sweller, J., van Merriënboer, J. J. G., & Paas , F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251–296.
    Sweller, J., Ayres, P., & Kalyuga, S. (2011). Measuring Cognitive Load. Cognitive Load Theory (pp. 71-85). New York, NY: Springer.
    Tsai, M. J., Hou, H. T., Lai, M. L., Liu, W. Y., & Yang, F. Y. (2012). Visual attention for solving multiple-choice science problem: An eye-tracking analysis. Computers & Education, 58(1), 375-385.
    van Gog, T. & Scheiter, K. Eye tracking as a tool to study and enhance multimedia learning. Learning and Instruction, 20(2), 95-99.
    von Jan, U., Noll, C., Behrends, M., & Albrecht, U. V. (2012). mARble - Augmented Reality in Medical Education. Biomedical Engineering-Biomedizinische Technik, 57, 67-70.
    Wu, H. K., Lee, S. W. Y., Chang, H. Y., & Liang, J. C. Current status, opportunities and challenges of augmented reality in education. Computers & Education, 62, 41-49.
    Yang, C. H., Huang, Y. T., Janes, C., Lin, K. C., & Lu, T. H. (2008). Belief in ghost month can help prevent drowning deaths: A natural experiment on the effects of cultural beliefs on risky behaviours. Social Science & Medicine, 66(9), 1990-1998.
    Yang, F. Y., Chang, C. Y., Chien, W. R., Chien, Y. T., & Tseng, Y. H. (2013). Tracking learners' visual attention during a multimedia presentation in a real classroom. Computers & Education, 62, 208-220.
    Yeh, T. K., Tseng, K. Y., Cho, C. W., Barufaldi, J. P., Lin, M. S., & Chang, C. Y. (2012). Exploring the Impact of Prior Knowledge and Appropriate Feedback on Students' Perceived Cognitive Load and Learning Outcomes: Animation-based earthquakes instruction. International Journal of Science Education, 34(10), 1555-1570.
    Yoon, S. A., Elinich, K., Wang, J., Steinmeier, C., & Tucker, S. (2012). Using augmented reality and knowledge-building scaffolds to improve learning in a science museum. International Journal of Computer-Supported Collaborative Learning, 7(4), 519-541.
    Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2010). Explaining Internet Banking Behavior: Theory of Reasoned Action, Theory of Planned Behavior, or Technology Acceptance Model? Journal of Applied Social Psychology, 40(5), 1172-1202.
    Yu, T. K. & Yu, T. Y. (2010). Modelling the factors that affect individuals' utilisation of online learning systems: An empirical study combining the task technology fit model with the theory of planned behaviour. British Journal of Educational Technology, 41(6), 1003-1017.

    無法下載圖示 全文公開日期 2020/08/17 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)
    全文公開日期 本全文未授權公開 (國家圖書館:臺灣博碩士論文系統)
    QR CODE