簡易檢索 / 詳目顯示

研究生: 陳慧倫
Hui-Lun Chen
論文名稱: 互動式教學系統對於學習成效與滿意度之研究—以企業金融課程為例
A Study on Effects of Interactive Response System on Learning Outcomes and Satisfaction - The Case of Corporate Financial Course
指導教授: 葉穎蓉
Ying-Jung Yeh
口試委員: 鄭仁偉
Jen-Wei Cheng
陳崇文
Chong-Wen Chen
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理系
Department of Business Administration
論文出版年: 2019
畢業學年度: 107
語文別: 中文
論文頁數: 40
中文關鍵詞: 互動式教學系統金融教育科技適配學習成效滿意度
外文關鍵詞: Interactive Response System, Financial education, Technology fit, Learning performance, Satisfaction
相關次數: 點閱:345下載:0
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
  • 本研究主要探討導入互動式教學系統的教學環境下,科技本身因素與講師能力對於學生的學習成效與滿意度之影響。本研究以收集課堂資料與問卷調查的方式進行分析,樣本對象為參加A金融培訓機構2017年10至11月辦理認證理財規劃顧問課程,來自約20家不同的金融機構之186位學員參加。

    研究結果發現:(1)科技適配與講師能力對學習滿意度皆有正向顯著關係,顯示學生對於新科技的接受度高,也顯示講師除了教學內容外,結合互動式系統的教學法也同樣重要。(2)科技適配對學習成效呈正向顯著影響,而講師能力卻沒有顯著影響,此可說明在互動式教學的環境下,科技的影響因素比講師能力來得大。本研究之結果除了可以作為後續研究之基礎外,亦可提供企業教育訓練課程之參考。


    The aim of this study was to explore the relationships among technology fit, instructor ability, student satisfaction and learning performance when applying Interactive Response System (IRS) in classroom. Class data and questionnaire survey were collected as our data resources. The participants comprised 186 people who currently serve in different financial institutions, participated the Certified Financial Planner(CFP) class which held by a Financial Training Institution in Taiwan in October and November, 2017.

    The results of our study indicated that (1) both technology fit and instructor ability had significant effects on student satisfaction. It showed that students had high willingness to use new technology, and also showed that in addition to teaching content, the pedagogy integrated interactive system was important for instructors. (2) Technology fit had significant effect on learning performance, however, instructor ability had no significant effects on performance. It revealed that in the context of interactive teaching environment, the technology factors had greater influences than instructor ability for students. The results of this study can be used as a basis for follow-up studies and can also provide a reference for corporate education and training courses.

    摘要 I Abstract II 誌謝 III 目錄 IV 表目錄 IV 圖目錄 V 第一章 緒論 1 第一節 研究背景 1 第二節 研究動機與目的 1 第二章 文獻回顧與假設 3 第一節 互動式教學系統 3 第二節 任務科技適配度模型 7 第三節 講師能力 9 第三章 研究方法 11 第一節 研究架構 11 第二節 問卷設計 11 第三節 研究對象 12 第四節 課程程序 12 第五節 資料分析與分析方法 15 第四章 研究結果 16 第一節 描述性統計分析 16 第二節 相關分析 16 第三節 信效度分析 17 第四節 研究假說之檢驗 17 第五章 研究結論與建議 19 第一節 討論 19 第二節 結論 21 第三節 研究限制與建議 21 附錄 23 參考文獻 26

    Alhija, F.N.A. (2017). Teaching in higher education: Good teaching through students’ lens. Studies in Educational Evaluation, 54, 4-12.
    Arbaugh, J., & Duray, R. (2002), Technological and structural characteristics, student learning and satisfaction with web-based courses, Management Learning, 33(3), 331-347.
    Ay, Y., Karadag, E., & Acat, M-B. (2015). The Technological Pedagogical Content Knowledge-practical (TPACK Practical) model: Examination of its validity in the Turkish culture via structural equation modeling. Computers & Education, 88, 97-108.
    Barr, M.L. (2017). Encouraging college student active engagement in learning: Student response methods and anonymity. Journal of Computer Assisted Learning, 33, 621–632.
    Beatty, I. D., Leonard, W. J., Gerace, W. J., & Dufresne, R. J. (2006). Question driven instruction: Teaching science (well) with an audience response system. Audience Response Systems in Higher Education: Applications and Cases, 96-115.
    Beekes, W. (2006). The ‘Millionaire’ method for encouraging participation. Active Learning in Higher Education, 7(1), 25-36.
    Blasco-Arcas, L., Buil, I., Hernández-Ortega, B., & Sese, F.J. (2013). Using clickers in class. The role of interactivity, active collaborative learning and engagement in learning performance. Computers & Education, 62, 102-110.
    Caldwell, J. E. (2007). Clickers in the large classroom: current research and best-practice tips. CBE Life Sciences Education, 6, 29–41.
    Chuang, Y-T. (2015). SSCLS: A Smartphone-Supported Collaborative Learning System. Telematics and Informatics, 32, 463-474.
    Creese, J. (2011). Self-and cohort-directed design in research training tutorials for undergraduate researchers: increasing ownership and relevance to improve learning outcomes. The Journal Academic Librarianship, 37(4), 327-332.
    Daniel, T. & Tivener, K. (2016). Effects of Sharing Clickers in an Active Learning Environment. Educational Technology & Society, 19 (3), 260–268.
    Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(2), 319–340.
    Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User Acceptance of Computer Technology: A Comparison Of Two Theoretical Models. Management Science, 35(8), 982-1003.
    Detzler, M.L. (2000). Finance Courses on the Internet. Financial Practice & Education, 10(1), 195-204.
    Edwards, C., & Myers, S.A. (2007). Perceived Instructor Credibility as a Function of Instructor Aggressive Communication. Communication Research Reports, 24(1), 47-53.
    El-Gayar, O., Moran, M., & Hawkes, M. (2011). Students' Acceptance of Tablet PCs and Implications for Educational Institutions. Educational Technology & Society, 14 (2), 58–70.
    Elliott, K. M., & Healy, M. A. (2001). Key Factors Influencing Student Satisfaction Related to Recruitment and Retention. Journal of Marketing for Higher Education, 10(4), 1-12.
    Files, C., & Marshall, J. (2006). Classroom response systems: A review of the literature. Journal of Science Education and Technology, 15(1), 101-109.
    Frymier, A.B. (2005). Students’ Classroom Communication Effectiveness. Communication Quarterly, 53(2), 197-212.
    Geddes, D. (2009). How Am I Doing? Exploring On-Line Gradebook Monitoring as a Self-Regulated Learning Practice That Impacts Academic Achievement. Academy of Management Learning & Education, 8(4), 494-510.
    Goodhue, D. L. (1998). Development and measurement validity of a task-technology fit instrument for user evaluations of information system. Decision Sciences, 29(1), 105-138.
    Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213-236.
    Hunsu, N.J.; Adesope, O., & Bayly, D.J. (2016). A meta-analysis of the effects of audience response systems (clicker-based technologies) on cognition and affect. Computers & Education, 94, 102-119.
    Kay R, Knaack L (2009) Exploring the use of audience response systems in secondary school science classrooms. Journal of Science Education and Technology, 18(5),382–392.
    Kay, R.H., & LeSage, A. (2009). Examining the benefits and challenges of using audience response systems: A review of the literature. Computers & Education, 53, 819-827.
    Khee, C.W., Wei, G.W., & Jamaluddin, S.A. (2014). Students’ perception towards lecture capture based on the Technology Acceptance Model. Social and Behavioral Sciences, 123, 461-469.
    Koehler, M., & Mishra, P. (2005). What happens when teachers design educational technology? The development of technological pedagogical content knowledge. Journal of Educational Computing Research, 32(2), 131-152.
    Koh, J.H.L., Woo, H.L., & Lim, W-Y. (2013). Understanding the relationship between Singapore preservice teachers’ ICT course experiences and technological pedagogical content knowledge (TPACK) through ICT course evaluation. Educational assessment, evaluation and accountability, 25, 321-339.
    Lee, H., & Feldman, A. (2015). Photographs and Classroom Response Systems in Middle School Astronomy Classes. Journal of Science Education and Technology, 24, 496-508.
    Lin, F.H., & Wu, J.H. (2004). An empirical study of end-user computing acceptance factors in small and medium enterprises in Taiwan: analyzed by structural equation modeling. Journal of Computer Information Systems 44 (3), 98–108.
    Lin, W-S. (2012). Perceived fit and satisfaction on web learning performance: IS continuance intention and task-technology fit perspectives. International Journal of Human-Computer Studies, 70, 498-507.
    López-Q, J.L., Varo-M, M., Ana, M., Luna, L., & Pontes-P, A. (2016). Opinions on “Classroom Response System” by first-year engineering students. Social and Behavioral Sciences, 228, 183-189.
    Love, E.G., Love, D.W., & Northcraft, G.B. (2010). Is The End in Sight? Student Regulation of In-Class and Extra-Credit Effort in Response to Performance Feedback. Academy of Management Learning & Education, 9(1), 81-97.
    McCombs, B., & Vakili, D. (2005). A learner-centered framework for e-learning. The Teachers College Record, 107(8), 1582e1600.
    McGill, T. J., & Hobbs, V. J. (2008). How students and instructors using a virtual learning environment perceive the fit between technology and task. Journal of Computer Assisted Learning, 24(3), 191-202.
    McGill, T.J., & Klobas, J.E. (2009) A task-technology fit view of learning management system impact. Computers & Education, 52, 496-508.
    Mishra, P., & Koehler, M.J. (2006). Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge. Teachers College Record, 108, 1017-1054.
    Myers, S., & Huebner, A. (2011). The relationship between students’ motives to communicate with their instructors and perceived instructor credibility, attractiveness, and homophily. College Student Journal, 45, 84-91.
    Nemser, S.F. (2003). What New Teachers Need to Learn? Educational Leadership. 60(8), 25–29.
    Obermiller, C., Ruppert, B., & Atwood,A. (2012). Instructor Credibility Across Disciplines: Identifying Students’ Differentiated Expectations of Instructor Behaviors. Business Communication Quarterly, 75(2), 153-165.
    Penuel, W.R., Boscardin, C.K., Masyn, K., & Crawford, V.M. (2007). Teaching with student response systems in elementary and secondary education settings: A survey study. Educational Technology Research and Development, 55, 315-346.
    Proserpio, L., & Gioia, D.A. (2007). Teaching the Virtual Generation. Academy of Management Learning & Education, 6(1), 69-80.
    Ruppert, B., & Green, D.A. (2012). Practicing What We Teach: Credibility and Alignment in the Business Communication Classroom. Business Communication Quarterly, 75(1), 29-44.
    Sawang, S., Newton, C., & Jamieson, K. (2013). Increasing learners' satisfaction/intention to adopt more e-learning. Education & Training, 55(1), 83–105.
    Shieh, R.S., & Chang, W. (2013). Implementing the interactive response system in a high school physics context: Intervention and reflections. Australasian Journal of Educational Technology, 29(5), 748-761.
    Staples, D. S., & Seddon, P. (2004). Testing the technology-to-performance chain model. Journal of Organizational and End User Computing, 16(4), 17-36.
    Stowell, J.R. (2015). Use of clickers vs. mobile devices for classroom polling. Computers & Education, 82, 329-334.
    Sun, J. (2016). Multi-dimensional alignment between online instruction and course technology: A learner-centered perspective. Computers & Education, 101, 102-114.
    Sun, J.C.-Y., & Chen, A.Y.-Z (2016). Effects of integrating dynamic concept maps with Interactive Response System on elementary school students' motivation and learning outcome: The case of anti-phishing education. Computers & Education, 102, 117-127.
    Teven, J., & McCroskey, J. (1997). The relationship of perceived teacher caring with student learning and teacher evaluation. Communication Education, 46, 1-9.
    Wang, Y.-H. (2017). The Effectiveness of Using Cloud-Based Cross-Device IRS to Support Classical Chinese Learning. Educational Technology & Society, 20 (2), 127–141.
    Wong, A., & Wong, S. (2016). A cross-cohort exploratory study of a student perceptions on mobile phone-based student response system using a polling website. International Journal of Education and Development using Information and Communication Technology, 12(3), 58-78.
    Wu, B., & Chen, X. (2017) Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Computers in Human Behavior, 67, 221-232.
    Wu, X., & Gao, Y. (2011). Applying the Extended Technology Acceptance Model to the Use of Clickers in Student Learning: Some Evidence from Macroeconomics Classes. American Journal of Business Education, 4(7), 43-50.
    Wu, Y-C., Wu, T., & Li, Y. (2017). Impact of using classroom response systems on students' entrepreneurship learning experience. Computers in Human Behavior, in press, 1-12.
    Young, A., & Norgard, C. (2006). Assessing the quality of online courses from the students' perspective. Internet and Higher Education, 9, 107-115.

    無法下載圖示 全文公開日期 2024/04/22 (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