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研究生: 陳又嘉
Chen, Yu Chia
論文名稱: 運用心流體驗探究同步遠距學習成效—以大學師生群體為例
Investigating distance learning effect from flow theory: An examination of university teachers and students
指導教授: 邱于平
Chiu, Yu-Ping
口試委員: 張淑楨
Chang, Shu-Chen
謝艾芸
Hsieh, Ai-Yun
邱于平
Chiu, Yu-Ping
口試日期: 2023/06/28
學位類別: 碩士
Master
系所名稱: 圖文傳播學系
Department of Graphic Arts and Communications
論文出版年: 2023
畢業學年度: 111
語文別: 中文
論文頁數: 137
中文關鍵詞: 遠距學習心流滿意度持續學習意圖
英文關鍵詞: distance learning, flow experience, satisfaction, continuous learning intention
研究方法: 深度訪談法問卷調查法
DOI URL: http://doi.org/10.6345/NTNU202300660
論文種類: 學術論文
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  • 摘要 II ABSTRACT III 第壹章 緒論1 第一節 研究背景與動機1 第二節 研究目的與問題4 第三節 名詞解釋5 第四節 研究範圍與限制6 第五節 研究流程7 第貳章 文獻探討8 第一節 遠距學習8 第二節 心流體驗12 第三節 享樂和功利因素15 第四節 心流對學習成效之影響21 第五節 文獻探討小結23 第參章 質化研究24 第一節 研究方法24 第二節 研究對象25 第三節 研究工具26 第四節 研究實施27 第五節 資料處理與分析28 第六節 研究結果31 第肆章 量化研究41 第一節 研究架構與研究假設41 第二節 研究方法42 第三節 研究對象43 第四節 變數操弄與衡量44 第五節 研究實施48 第六節 資料處理與分析50 第七節 研究結果51 第伍章 結論與建議55 第一節 研究結論55 第二節 學術與實務意涵58 第三節 研究限制與未來研究建議61 參考文獻 63 附錄74

    王宗斌,1999,《訓練方式, 電腦自我效能即學習型態對學習績效的影響-網頁設計時地研究》。桃園:中央大學資訊管理研究所碩士論文。

    廖君雅,2021,〈下載熱門榜,上班、上課都靠它!Google Meet安裝率跳增92倍〉。遠見,https://www.gvm.com.tw/article/79947,2021年6月2日。

    Al-Maroof, R. S., Salloum, S. A., Hassanien, A. E., & Shaalan, K. (2020). Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic. Interactive Learning Environments, 31(3), 1-16.

    Ali, A., & Ahmad, I. (2011). Key factors for determining student satisfaction in distance learning courses: A study of Allama Iqbal Open University. Contemporary Educational Technology, 2(2), 118-134.

    Allam, H., Bliemel, M., Spiteri, L., Blustein, J., & Ali-Hassan, H. (2019). Applying a multi-dimensional hedonic concept of intrinsic motivation on social tagging tools: A theoretical model and empirical validation. International Journal of Information Management, 45, 211-222.

    Anderson, T., & Dron, J. (2011). Three generations of distance education pedagogy. International Review of Research in Open and Distributed Learning, 12(3), 80-97.

    Arizzi, G., Breitenreiter, J., Khalsa, R., Iyer, R., Babin, L. A., & Griffin, M. (2020). Modeling business student satisfaction: Utilitarian value and hedonic value as drivers of satisfaction. Marketing Education Review, 30(4), 196-207.

    Azhari, B., & Fajri, I. (2022). Distance learning during the COVID-19 pandemic: School closure in Indonesia. International Journal of Mathematical Education in Science and Technology, 53(7), 1934-1954.

    Bagozzi, R. P., Fornell, C., & Larcker, D. F. (1981). Canonical correlation analysis as a special case of a structural relations model. Multivariate Behavioral Research, 16(4), 437-454.

    Bernardo, A., Esteban, M., Cervero, A., Cerezo, R., & Herrero, F. J. (2019). The Influence of Self-Regulation Behaviors on University Students’ Intentions of Persistance. Frontiers in psychology, 10, 1-8.

    Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 25(3), 351-370.

    Bourgonjon, J., Valcke, M., Soetaert, R., & Schellens, T. (2010). Students’ perceptions about the use of video games in the classroom. Computers & Education, 54(4), 1145-1156.

    Cao, J. T., Foster, J., Yaoyuneyong, G., & Krey, N. (2019). Hedonic and utilitarian value: the role of shared responsibility in higher education services. Journal of Marketing for Higher Education, 29(1), 134-152.

    Chang, H. H., & Wang, I. C. (2008). An investigation of user communication behavior in computer mediated environments. Computers in human behavior, 24(5), 2336-2356.

    Chen, K. S., Monrouxe, L., Lu, Y. H., Jenq, C. C., Chang, Y. J., Chang, Y. C., & Chai, P. Y. C. (2018). Academic outcomes of flipped classroom learning: a meta‐analysis. Medical education, 52(9), 910-924.

    Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. San Francisco. San Francisco: Jossey-Bass, 36-48.

    Csikszentmihalyi, M. (1997). Finding flow: the psychology of engagement with everyday life, 1997. New York.

    Csikszentmihalyi, M., Larson, R., & Prescott, S. (2014). The ecology of adolescent activity and experience. In Applications of Flow in Human Development and Education (pp. 241-254): Springer.

    Czikszentmihalyi, M. (1990). Flow: The psychology of optimal experience: New York: Harper & Row.

    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 13(3), 319-340.

    Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of applied social psychology, 22(14), 1111-1132.

    Denzin, N. K. (1978). Triangulation: A case for methodological evaluation and combination. Sociological methods, 339-357.

    Fakhruddin, A. (2018). Using Google Meet in teaching speaking. Journal of English Language Learning (JELL), 2(2), 43-46.

    Filieri, R., & Lin, Z. (2017). The role of aesthetic, cultural, utilitarian and branding factors in young Chinese consumers' repurchase intention of smartphone brands. Computers in human behavior, 67, 139-150.

    Finneran, C. M., & Zhang, P. (2003). A person–artefact–task (PAT) model of flow antecedents in computer-mediated environments. International Journal of Human-computer studies, 59(4), 475-496.

    Ghani, J. A., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human—computer interaction. The Journal of psychology, 128(4), 381-391.

    Google. (2022). 適合每個人的進階視訊會議功能。. Retrieved from https://apps.google.com/intl/zh-TW/meet/

    Griffiths, B. (2016). A faculty's approach to distance learning standardization. Teaching and Learning in Nursing, 11(4), 157-162.

    Grunert, K. G. (2005). Food quality and safety: consumer perception and demand. European review of agricultural economics, 32(3), 369-391.

    Gu, C., Chen, J., Lin, J., Lin, S., Wu, W., Jiang, Q., . . . Wei, W. (2022). The impact of eye-tracking games as a training case on students' learning interest and continuous learning intention in game design courses: Taking Flappy Bird as an example. Learning and Motivation, 78, 1-18.

    Guo, Y. M., Klein, B. D., & Ro, Y. K. (2020). On the effects of student interest, self-efficacy, and perceptions of the instructor on flow, satisfaction, and learning outcomes. Studies in Higher Education, 45(7), 1413-1430.

    Guo, Z., Xiao, L., Van Toorn, C., Lai, Y., & Seo, C. (2016). Promoting online learners’ continuance intention: An integrated flow framework. Information & management, 53(2), 279-295.

    Hamari, J., Shernoff, D. J., Rowe, E., Coller, B., Asbell-Clarke, J., & Edwards, T. (2016). Challenging games help students learn: An empirical study on engagement, flow and immersion in game-based learning. Computers in human behavior, 54, 170-179.

    Hansemark, O. C., & Albinsson, M. (2004). Customer satisfaction and retention: the experiences of individual employees. Managing Service Quality: An International Journal, 14(1), 40-57.

    Haythornthwaite, C., & Kazmer, M. M. (2002). Bringing the Internet home. The Internet in everyday life, 431, 429-463.

    Hill, N., Brierley, J., & MacDougall, R. (2017). How to measure customer satisfaction: Routledge.

    Hosseini, S. M., & Fattahi, R. (2014). Databases’ interface interactivity and user self-efficacy: Two mediators for flow experience and scientific behavior improvement. Computers in human behavior, 36, 316-322.

    Hrastinski, S. (2007). The potential of synchronous communication to enhance participation in online discussions.

    Hrastinski, S. (2008). Asynchronous and synchronous e-learning. Educause quarterly, 31(4), 51-55.

    Hsiao, C.-H., Chang, J.-J., & Tang, K.-Y. (2016). Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342-355.

    Huang, L.-T., Chiu, C.-A., Sung, K., & Farn, C.-K. (2011). A comparative study on the flow experience in web-based and text-based interaction environments. Cyberpsychology, Behavior, and Social Networking, 14(1-2), 3-11.

    Huang, Y.-M. (2020). Students’ continuance intention toward programming games: hedonic and utilitarian aspects. International Journal of Human–Computer Interaction, 36(4), 393-402.

    Ibrahim, R., Yusoff, R. C. M., Khalil, K., & Jaafar, A. (2011). Factors affecting undergraduates’ acceptance of educational game: An application of technology acceptance model (TAM). Paper presented at the International Visual Informatics Conference.

    Joo, Y. J., Lim, K. Y., & Kim, S. M. (2012). A model for predicting learning flow and achievement in corporate e-learning. Educational Technology & Society, 15(1), 313.

    Jowsey, T., Foster, G., Cooper-Ioelu, P., & Jacobs, S. (2020). Blended learning via distance in pre-registration nursing education: A scoping review. Nurse Education in Practice, 44, 1-10.

    Kan, W. (2002). The study of relation between product value, brand trust, brand affect and brand loyalty. Unpublished master thesis, Tamkang University, Taiwan.

    Kaur, P., Dhir, A., Chen, S., & Rajala, R. (2016). Flow in context: Development and validation of the flow experience instrument for social networking. Computers in human behavior, 59, 358-367.

    Kiili, K., De Freitas, S., Arnab, S., & Lainema, T. (2012). The design principles for flow experience in educational games. Procedia Computer Science, 15, 78-91.

    Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being? American psychologist, 53(9), 1017-1031.

    Li, Y., & Shang, H. (2020). Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China. Information & management, 57(3), 103197.

    Liao, L. F. (2006). A flow theory perspective on learner motivation and behavior in distance education. Distance Education, 27(1), 45-62.

    Liu, S.-H., Liao, H.-L., & Pratt, J. A. (2009). Impact of media richness and flow on e-learning technology acceptance. Computers & Education, 52(3), 599-607.

    Martin, F., & Bolliger, D. U. (2018). Engagement matters: Student perceptions on the importance of engagement strategies in the online learning environment. Online Learning, 22(1), 205-222.

    Mikalef, P., Giannakos, M. N., & Pateli, A. G. (2012). Exploring the Business Potential of Social Media: An Utilitarian and Hedonic Motivation Approach. Paper presented at the Bled eConference.

    Nah, F. F.-H., Eschenbrenner, B., Zeng, Q., Telaprolu, V. R., & Sepehr, S. (2014). Flow in gaming: literature synthesis and framework development. International Journal of Information Systems and Management, 1(1-2), 83-124.

    Nebel, S., Beege, M., Schneider, S., & Rey, G. D. (2016). The higher the score, the higher the learning outcome? Heterogeneous impacts of leaderboards and choice within educational videogames. Computers in human behavior, 65(0), 391-401.

    Newman, W. L. (2003). Social Research Methods: Qualitative and Quantitative Approaches, Boston. MA: Pearson Education Inc.

    Novak, T. P., Hoffman, D. L., & Yung, Y.-F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing science, 19(1), 22-42.

    Obadă, D. R. (2014). Online flow experience and perceived quality of a brand website: inpascani. ro case study. Procedia-Social and Behavioral Sciences, 149, 673-679.

    Palloff, R. M., & Pratt, K. (1999). Building Learning Communities in Cyberspace: Effective Strategies for the Online Classroom. Jossey-Bass Higher and Adult Education Series: ERIC.

    Piccoli, G., Ahmad, R., & Ives, B. (2001). Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS quarterly, 25, 401-426.

    Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of educational psychology, 82(1), 33-40.

    Qazi, A., Qazi, J., Naseer, K., Zeeshan, M., Qazi, S., Abayomi-Alli, O., . . . Hardaker, G. (2021). Adaption of distance learning to continue the academic year amid COVID-19 lockdown. Children and Youth Services Review, 126, 1-6.

    Rajeh, M. T., Abduljabbar, F. H., Alqahtani, S. M., Waly, F. J., Alnaami, I., Aljurayyan, A., & Alzaman, N. (2021). Students’ satisfaction and continued intention toward e-learning: a theory-based study. Medical education online, 26(1), 1-8.

    Ramayah, T., & Lee, J. W. C. (2012). System characteristics, satisfaction and e-learning usage: a structural equation model (SEM). Turkish Online Journal of Educational Technology-TOJET, 11(2), 196-206.

    Rosenberg, M., Moore, K., Hanfland, F., Shank, P., Young, L., Dublin, L., . . . Corry, M. (2007). The eLearning Guild's Handbook of e-learning strategy. The eLearning Guild.

    Rossin, D., Ro, Y. K., Klein, B. D., & Guo, Y. M. (2009). The Effects of Flow on Learning Outcomes in an Online Information Management Cou. Journal of information systems education, 20(1), 87-98.

    Septantiningtyas, N., Juhji, J., Sutarman, A., Rahman, A., & Sa’adah, N. (2021). Implementation of Google Meet Application in the Learning of Basic Science in the Covid-19 Pandemic Period of Student Learning Interests. Paper presented at the Journal of Physics: Conference Series.

    Shahabadi, M. M., & Uplane, M. (2015). Synchronous and asynchronous e-learning styles and academic performance of e-learners. Procedia-Social and Behavioral Sciences, 176, 129-138.

    Shin, W. S., & Kang, M. (2015). The use of a mobile learning management system at an online university and its effect on learning satisfaction and achievement.

    International Review of Research in Open and Distributed Learning, 16(3), 110-130.
    Skadberg, Y. X., & Kimmel, J. R. (2004). Visitors’ flow experience while browsing a Web site: its measurement, contributing factors and consequences. Computers in human behavior, 20(3), 403-422.

    Sowan, A. K., & Jenkins, L. S. (2013). Designing, delivering and evaluating a distance learning nursing course responsive to students needs. International journal of medical informatics, 82(6), 553-564.

    Stafford, G. (2011). The unexpected transformations of Chinese international students in Australia.

    Strang, K. (2013). Cooperative learning in graduate student projects: Comparing synchronous versus asynchronous collaboration. Journal of Interactive Learning Research, 24(4), 447-464.

    Trevino, L. K., & Webster, J. (1992). Flow in computer-mediated communication: Electronic mail and voice mail evaluation and impacts. Communication research, 19(5), 539-573.

    Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS quarterly, 28, 695-704.

    Van Noort, G., Voorveld, H. A., & Van Reijmersdal, E. A. (2012). Interactivity in brand web sites: cognitive, affective, and behavioral responses explained by consumers' online flow experience. Journal of Interactive Marketing, 26(4), 223-234.

    Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 36(1), 157-178.

    Verduin Jr, J. R., Verduin, J. R., & Clark, T. A. (1991). Distance education: The foundations of effective practice: Jossey-Bass.

    Viola, S., Saeki, E., & Hendricker, E. (2019). Distance Education in Graduate Training Programs: Lessons Learned from School Psychology Students. Journal of Educators Online, 16(2), 1-17.

    Volery, T., & Lord, D. (2000). Critical success factors in online education. International journal of educational management.

    Voss, K. E., Spangenberg, E. R., & Grohmann, B. (2003). Measuring the hedonic and utilitarian dimensions of consumer attitude. Journal of marketing research, 40(3), 310-320.

    Wang, J., Wang, M., & Wu, J. (2015). Empirical study on flow experience in China tourism e-commerce market. Journal of Industrial Engineering and Management (JIEM), 8(2), 349-364.

    Watts, L. (2016). Synchronous and asynchronous communication in distance learning: A review of the literature. Quarterly Review of Distance Education, 17(1), 23-32.

    Webster, N. (1990). Webster's ninth new collegiate dictionary (Vol. 10): Merriam-Webster.

    Weibel, D., Wissmath, B., Habegger, S., Steiner, Y., & Groner, R. (2008). Playing online games against computer-vs. human-controlled opponents: Effects on presence, flow, and enjoyment. Computers in human behavior, 24(5), 2274-2291.

    Wiyono, B. B., Indreswari, H., & Putra, A. P. (2021). The Utilization of “Google Meet” and “Zoom Meetings” to Support the Lecturing Process during the Pandemic of COVID-19. Paper presented at the 2021 International Conference on Computing, Electronics & Communications Engineering (iCCECE).

    Wiyono, B. B., Wedi, A., Kusumaningrum, D. E., & Ulfa, S. (2021). Comparison of the effectiveness of using online and offline communication techniques to build human relations with students in learning at schools. Paper presented at the 2021 9th International Conference on Information and Education Technology (ICIET).

    Yoo, B., & Donthu, N. (2001). Developing and validating a multidimensional consumer-based brand equity scale. Journal of Business research, 52(1), 1-14.

    Zheng, X., Men, J., Yang, F., & Gong, X. (2019). Understanding impulse buying in mobile commerce: An investigation into hedonic and utilitarian browsing. International Journal of Information Management, 48, 151-160.

    Zhonggen, Y., Ying, Z., Zhichun, Y., & Wentao, C. (2019). Student satisfaction, learning outcomes, and cognitive loads with a mobile learning platform. Computer Assisted Language Learning, 32(4), 323-341.

    Zimmerman, B. J. (1989). Models of self-regulated learning and academic achievement. In Self-regulated learning and academic achievement (Vol. 81, pp. 329-339): Springer.

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