學術產出-Theses

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

  • No doi shows Citation Infomation
題名 工作-科技配合度擴充模式:以線上學習回饋為例
作者 黃和勤
貢獻者 傅豐玲
黃和勤
關鍵詞 線上學習
回饋功能
工作-科技配合度
日期 2002
上傳時間 14-Sep-2009 09:10:13 (UTC+8)
摘要 與傳統的學習環境相較,線上學習雖然減少了面對面的互動機會,但卻提供了更多其他方式的回饋功能,增加了更多的互動機會與回饋。文獻指出「有用」、「易用」、「回饋反應時間」及「回饋內容」會影響到學習者的學習情形。目前對工作-科技配合度的研究大多偏向軟體維護工作,本研究試圖修正及結合工作-科技配合度模式(Task-Technology Fit Model, TTF)與科技接受度模式(Technology Acceptance Model, TAM),來驗證:(1)配合度變項的存在並驗證配合度會正向影響使用;(2)找出合適的衡量線上學習回饋功能的構面;(3)七項回饋功能在四構面上的認知差異;(4)擴充及結合TTF與TAM二模式以驗證個人的「喜好」會正向影響其「使用」;(5)回饋功能四構面「有用」、「易用」、「回饋反應時間」及「回饋內容」分別會正向影響「喜好」。
     
     研究結果顯示:(1)只有四項回饋功能「線上傳訊/對談」、「郵寄助教」、「成績資訊」及「主題討論」中「工作-科技配合度」的存在是合適的且「工作-科技配合度」會正向影響個人的「使用」;(2)由信度、效度分析顯示「功能有用」、「功能易用」、「回饋反應時間」及「回饋內容」四構面合適用來衡量線上學習回饋功能;(3)七項回饋功能在四構面上有認知差異;(4)七項回饋功能的個人「喜好」均會正向影響其「使用」;(5)使用者認知「功能有用」會正向影響個人的「喜好」(七種功能都有);「功能易用」會正向影響個人的「喜好」(課程討論、線上傳訊/對談、郵寄助教、平時測驗、成績資訊);「回饋反應時間」會正向影響個人的「喜好」(課程討論、成績資訊);「回饋內容」的正確與有效幫助會正向影響個人的「喜好」(七種功能都有)。
參考文獻 中文部份
1. 王秋華,「網路教學之學生學習行為與學習滿意度及學習績效的關係」,大葉大學資訊管理研究所碩士論文,民國90年6月。
2. 古永嘉譯,「企業研究方法第五版(Cooper, D. R. and Emory, C. W.原著)」,華泰文化,台北,民國85年3月。
3. 李怡慧,「網路教學環境上群組合作學習分組方式之探討」,中山大學資訊管理研究所碩士論文,民國89年6月。
4. 李美慧,「科技接受模式在非同步網路學習系統使用意向之應用」,中正大學資訊管理研究所碩士論文,民國90年7月。
5. 李美華等譯,「社會科學研究方法初版(Earl Babbie原著第八版)」,時英出版,台北,民國87年2月。
6. 林甘敏、陳年興,「網路大學學習問題探討」,資訊管理研究,第4卷第2期,民國91年7月,頁65-85。
7. 林東清、孫培真,「系統使用調適過程對Web遠距作學習系統成功使用之影響:一個以調適性結構化理論為基礎之研究」,資訊管理學報,第7卷第2期,民國90年1月,頁193-214。
8. 兩岸理財通,http://www.ez24h.com,查詢日期:民國91年9月8日。
9. 周文賢,「多變量統計分析」,初版,智勝文化,民國91年6月。
10. 吳明隆,「SPSS統計應用實務」,二版,文魁資訊,民國91年9月。
11. 吳肇銘、范錚強,「網站使用意向模型之建構與實證-技術接受模型之運用」,管理學報,第17卷第3期,民國89年9月,頁461-481。
12. 張金鐘,「以科技接受模式探討教師與學生採用數位化教材的態度」,國立中山大學資訊管理研究所碩士在職專班碩士論文,民國91年7月。
13. 黃貝玲,「從線上學習的發展看企業線上訓練」,電子化企業經理人報告,No.19,民國90年3月,頁13 - 23。
14. 黃俊英,「多變量分析」,第七版,中國經濟企業研究所,民國89年。
15. 董和昇、梁定澎,「以認知學習觀點與任務-科技適配理論建構網際網路使用者資訊取得行為模型」,海峽兩岸管理資訊系統接軌暨第四屆資訊管理博士生論文研討會論文集 (台灣地區博士生論文集),民國91年4月,上海,頁101 - 107。
16. 盧希鵬、林娟娟,「從資訊系統品質的角度探討WWW網站的接受程度」,國科會研究計畫:NSC 88-2416-H-011-011,執行期限:民國87年8月1日至88年7月31日。
17. 謝明瑞,「遠距教育與媒體」,隔空教育論叢,第13輯,民國90年,頁36 - 42。
18. 藍鴻文,「服務接觸中科技介入之影響-以網路教學為例」,國立中山大學企業管理研究所碩士論文,民國91年6月。
19. 蘇幼良,「以建構主義教學策略探究國小二年級學童對聲音的概念學習」,國立台北師範學院數理教育研究所,民國91年6月。
20. 蘇宏松,「以科技接受模型探討不同購買涉入下消費者對電子商店的使用意圖」,第3屆產業資訊管理學術暨新興科技研討會論文集(上集),台北,民國91年11月,頁289-298。
21. 鐘惠貞,「影響網際網路上服飾採購的因素及性別的考量」,大葉大學事業經營研究所碩士論文,民國87年7月。
英文部份
1. Aiken, E. G., “Delayed feedback effects on learning and retention of Morse Code symbols,” Psychological Reports (23), 1968, pp. 723-730.
2. Beeson, R. O. “Immediate knowledge of results and test performance,” Journal of Educational Research (66), 1973, pp. 224-226.
3. Butler, D. L. and Winne, P. H. “Feedback and self-regulated learning: A theoretical synthesis,” Review of Educational Research (65 : 3), Fall 1995, pp. 245-281.
4. Bationo, B. “The effects of three feedback forms on learning through a computer based tutorial,” Calico Journal (10 : 1), 1992, pp. 45-52.
5. Balzer, W. K., Doherty, M. E. and O’Connor, R. “Effects of Cognitive feedback on performance,” Psychological Bulletin (106), 1989, pp. 410-433.
6. Branson, R. W. and Grow, G. “Instructional systems development,” in Instructional Technology: Foundations, Gagne, R. M. (ed.), Lawrence Erlbaum Associates Publishers, Hillsdale, NJ, pp. 397-428, 1987.
7. Banathy, B. H. A System View of Education; Concepts and Principles for Effective Practice, Educational Technology Publications, Englewood Cliffs, NJ, 1992.
8. Carpenter, R. A. “A descriptive analysis of relationships between verbal behaviors of teacher-conductors and ratings of selected junior and senior high school rehearsals,” Applications of Research in Music Education (7 : 1), 1988, pp. 37-40.
9. Cox, S. S. and Swanson, M. S. “Identification of teaching excellence in operating room and clinic Settings,” The American Journal of Surgery (183 : 3), March 2002, pp. 251-255.
10. Cohen, J. Statistical Power Analysis for the Behavior Scinece, 2 er., Lawrence Erlbaum Association, Hillsdale, NJ, 1988.
11. Duke, R. A., Prickett, C. A. and Jellison, J. A. “Empirical description of the pace of music instruction,” Journal of Research in Music Education (46), 1998, pp. 265-280.
12. Duke, R. A. and Henninger, J. C. “Teachers’ verbal corrections and observers’ perceptions of teaching and learning,” JRME 2002 (50 : 1), 2002, pp. 75-85.
13. Duke, R. A. “Teacher and student behavior in Suzuki string lessons: Results from the International Research Symposium on Talent Education,” Journal of Research in Music Education (47), 1999, pp. 293-307.
14. Davis, F. D. “A Technology Acceptance Model of Empirically Testing New End-User Information Systems: Theory and Results,” Doctoral Dissertation, MIT Sloan School of Management, Cambridge, MA, 1986.
15. Davis, F. D. “Perceive Usefulness, Perceived of Ease of Use, and End User Acceptance of Information technology,” MIS Quarterly (13 : 3), 1989, pp. 319-340.
16. Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. “User acceptance of computer technology: a comparison of two theoretical models,” Management Science (35 : 8), August 1989, pp.982-1003.
17. Dick, W. and Carey, L. The Systematic Design of Instruction, 3 nd ed., Harper Collins Publishers, New York, NY, 1990.
18. Dishaw, M. T. and Strong, D. M. “Extending the technology acceptance model with task-technology fit constructs,” Information & Management (36), 1999, pp. 9-21.
19. Dishaw, M. T. and Strong, D. M. “Supporting software maintenance with software engineering tools: A Computed task-technology fit analysis,” The Journal of Systems and Software (44), 1998, pp. 107-120.
20. Dishaw, M. T. and Strong, D. M. “Assessing Software Maintenance Tool Utilization using Task-Technology Fit and Fitness-for-use Models,” Journal of software maintenance: Research and Practice (10), 1998b, pp. 151-179.
21. Dishaw, M. T., and Strong, D. M., Google.com ”Experience as a Moderating Variable in a Task-Technology Fit Model”
http://www.isworld.org/ais.ac.98/proceedings/track17/dishaw.pdf, search date: 2002/11/03
22. Dempsey, J. V., Drisoll, M. P. and Swindell, L. K. “Text-based feedback,” in Interactive Instruction and Feedback, Dempsey, J. V. and Sales, G. C. (eds.), Educational Technology Publications, Englewood Cliffs, NJ, 1993, pp.21-54.
23. Epstein, M. L., Lazarus, A. D., Calvano, T. B. and Matthews, K. A. “Immediate feedback assessment technique promotes learning and corrects inaccurate first responses,” The Psychological Record (52 : 2), Spring 2002, pp. 187-201.
24. Gaynor, P. “The effect of feedback delay on retention of computer-based mathematical material,” Journal of Computer-Based Instruction (8), 1981, pp. 28-34.
25. Goodhue, D. L. and Thompson, R. L. “Task-Technology Fit and Individual Performance,” Mis Quarterly (19 : 2), June 1995, pp. 213-236.
26. Goodhue, D. L. “Understanding User Evaluations of Information Systems,” Management Science (41 : 12), December 1995, pp. 1827-1844.
27. Goodhue, D. “The Model Underlying the Measurement of the Impacts of the IIC on the End-Users,” Journal of The American Society for Information Science (48 : 5), 1997, pp. 449-453.
28. Goodhue, D., Littlefield, R. and Straub, D. W. “The Measurement of the Impacts of the IIC on the End-Users: The Survey,” Journal of The American Society for Information Science (48 : 5), 1997, pp. 455-465.
29. Gertner, A. S. “Providing Feedback to Equation Entries in an Intelligent Tutoring System for Physics,” Lecture Notes in Computer Science (1452), 1998, pp. 254-264.
30. Goette, T. “Keys to the adoption and use of voice recognition technology in organizations,” Library Computing (19 : 3/4), 2000, pp.235-244.
31. Google.com ”Feedback in Computer Assisted Instruction and Computer Assisted Language Learning”
http://www.edb.utexas.edu/mmresearch/Students96/Buscemi/researchproject.html, search date: 2002/07/09
32. Hair, F. J., Anderson, E. R., Tatham, L. R. and Black, C. W. Multivariate Data Analysis, 5 th ed, Prentice-Hall International Inc, 1998.
33. Hetherington, E. M. and Ross, L. E. “Discrimination learning by normal and retarded children under delay of reward and interpolated task conditions,” Child Development (38), 1967, pp. 639-647.
34. Hong, K. K. and Kim, Y. G. “The critical success factors for ERP implementation: an organizational fit perspective,” Information & Management (40), 2002, pp.25-40.
35. Jacobs, G. M., Curtis, A., Braine, G. and Huang, S. Y. “Feedback on student writing-taking the middle path,” Journal of Second Language Writing (7 : 3), September 1998, pp. 307-317.
36. Kostka, M. J. “An investigation of reinforcements, time use, and student attentiveness in piano lesssons,” Journal of Research in Music Education (32), 1984, pp. 113-122.
37. Kulhavy, R. W. and Stock, W. A. “Feedback in written instruction: The place of response certitude,” Educational Psychology Review (1), 1989, pp.279-308.
38. Kulhavy, R. W. and Wager, W. “Feedback in programmed instruction: Historical context and implications for practice,” In Interactive instruction and feedback (pp.3-20), Dempsev, J. V. and Sales, G. C. (eds.), Educational Technology Publications, Englewood Cliffs, NJ, 1993.
39. Ley, K. “providing feedback to distant students,” Campus-Wide Information Systems (16 : 2), 1999, pp. 63-69.
40. Lin, J. C. and Lu, H. “Towards an understanding of the behavioural intention to use a web site,” International Journal of Information Management (20), 2000, pp. 197-208.
41. McBeath, R. Instructing and Evaluating in Higher Education; A Guidebook for Planning Learning Outcomes, Educational Technology Publications, Englewood Cliffs, NJ, 1992.
42. Mathieson, K. and Keil, M. “Beyond the interface: Ease of use and task/technology fit,” Information & Management (34), 1998, pp. 221-230.
43. Ovando, M. N. “Constructive Feedback: A Key to Successful Teaching and Learning,” International Journal of Educational Management (8 : 6), 1994, pp.19-22.
44. Paukert, J. L., Richards, M. L. and Olney, C. “An encounter card system for increasing feedback to students,” The American Journal of Surgery (183 : 3), March 2002, pp. 300-304.
45. Pressey, S. L. “A simple device which gives tests and scores and teaches,” School and Society (23), 1926, pp.373-376.
46. Reiser, R. A. and Dick, W. Instructional Planning; A Guide for Teachers, Allyn and Bacon, Boston, MA, 1996.
47. Rankin, R. J. and Tepper, T. “Retention and delay of feedback in a computer assisted instruction task,” Journal of Experimental Education (46), 1978, pp. 67-70.
48. Ross, S. M. and Morrison, G. R. “Using feedback to adapt instruction for individuals,” in Interactive instruction and feedback (pp.177-195), Dempsev, J. V. and Sales, G. C. (eds.), Educational Technology Publications, Englewood Cliffs, NJ, 1993.
49. Reid, I. C. “Reflections on using the Internet for the evaluation of course delivery,” The Internet and Higher Education (4 : 1), 1st quarter 2001, pp. 61-75.
50. Serwatka, J. A. “Improving student performance in distance learning courses,” T.H.E. Journal (29 : 9), Apr 2002, pp. 46-51.
51. Schutz, P. A. and Weinstein, C. E. “Using Test Feedback to Facilitate the Learning Process,” Innovation Abstracts NISOD (12 : 6), 1990, pp. 1-2.
52. Skinner, B. F. “Teaching machines,” Science (128), 1958, pp. 969-977.
53. Sales, G. C. “Designing feedback for CBI: Matching feedback to the learner and learning outcomes,” Computers in the School (5 : 1/2), 1988, pp. 225-239.
54. Sales, G. C. “Adapted and adaptive feedback in technology based instruction,” In Interactive instruction and feedback (pp.159-175), Dempsev, J. V. and Sales, G. C. (eds.), Educational Technology Publications, Englewood Cliffs, NJ, 1993.
55. Schweir, R. “Issues in emerging interactive technologies,” in Instructional Technology: Past, Present, and Future, 2nd ed., Anglin, G. J. (ed.), Libraries Unlimited, Inc., Englewood, CO, 1995, pp. 10-19.
56. Smith, P. and Ragan, T. Instructional Design, Merrill, New York, NY, 1992.
57. Shneiderman, B. Designing the User Interface Strategies for Effective Human-Computer Interaction, 3 nd ed., ADDISON WESLEY, 1998.
58. Slavings, R., Cochran, N. and Bowen, G. W. “Result of a National Survey on College Chemistry Faculty Beliefs and Attitudes of Assessment-of-Student-Learning Practices,” The Chemical Educator (2 : 1), 1997, pp. 1-28.
59. Staples, D. S., and Jarvenpaa, S. L., Google.com ”Using electronic media for information sharing activities: A Replication and Extension”
http://staples.bus.queensu.ca/research/ICIS%202000%20final.pdf, search date: 2002/11/03
60. Tessmer, M. Planning and Conducting Formative Evaluations, Kogan Page, London, 1993.
61. Tecuci, G. and Keeling, H. “Developing Intelligent Educational Agents with the Disciple Learning Agent Shell,” Lecture Notes in Computer Science (1452), 1998, pp. 454-463.
62. Tang, C., Li, Q., Lau, R. W.H. and Huang, X. “Supporting Practices in Web-Based Learning,” Lecture Notes in Computer Science (2436), 2002, pp. 300-309.
63. Webb, J. M., Stock, W. A. and McCarthy, M. T. “The effects of feedback timing on learning facts: The role of response confidence,” Contemporary Educational Psychology (19), 1994, pp. 251-265.
64. Wolcott, L. L. “The distance teacher as reflective practitioner,” Educational Technology (35 : 1), 1995, pp. 39-43.
65. Wager, W. and Wager, S. “Presenting questions, processing responses, and providing feedback in CAI,” Journal of Instructional Development (8 : 4), 1986, pp. 2-8.
66. Yarbrough, C. and Price, H. E. “Prediction of performer attentiveness based on rehearsal activity and teacher behavior,” Journal of Research in Music Education (29), 1981, pp. 209-217.
67. Lending, D. and Straub, D. W. “Impacts of an Integrated Information Center on Faculty End-Users: A Qualitative Assessment,” Journal of The American Society for Information Science (48 : 5), 1997, pp. 466-471.
68. Zigurs, I. and Buckland, B. K. “A Theory of Task/Technology Fit and Group Support Systems Effectiveness,” MIS Quarterly (22 : 3), 1998, pp. 313-334.
描述 碩士
國立政治大學
資訊管理研究所
90356018
91
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0090356018
資料類型 thesis
dc.contributor.advisor 傅豐玲zh_TW
dc.contributor.author (Authors) 黃和勤zh_TW
dc.creator (作者) 黃和勤zh_TW
dc.date (日期) 2002en_US
dc.date.accessioned 14-Sep-2009 09:10:13 (UTC+8)-
dc.date.available 14-Sep-2009 09:10:13 (UTC+8)-
dc.date.issued (上傳時間) 14-Sep-2009 09:10:13 (UTC+8)-
dc.identifier (Other Identifiers) G0090356018en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/31056-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理研究所zh_TW
dc.description (描述) 90356018zh_TW
dc.description (描述) 91zh_TW
dc.description.abstract (摘要) 與傳統的學習環境相較,線上學習雖然減少了面對面的互動機會,但卻提供了更多其他方式的回饋功能,增加了更多的互動機會與回饋。文獻指出「有用」、「易用」、「回饋反應時間」及「回饋內容」會影響到學習者的學習情形。目前對工作-科技配合度的研究大多偏向軟體維護工作,本研究試圖修正及結合工作-科技配合度模式(Task-Technology Fit Model, TTF)與科技接受度模式(Technology Acceptance Model, TAM),來驗證:(1)配合度變項的存在並驗證配合度會正向影響使用;(2)找出合適的衡量線上學習回饋功能的構面;(3)七項回饋功能在四構面上的認知差異;(4)擴充及結合TTF與TAM二模式以驗證個人的「喜好」會正向影響其「使用」;(5)回饋功能四構面「有用」、「易用」、「回饋反應時間」及「回饋內容」分別會正向影響「喜好」。
     
     研究結果顯示:(1)只有四項回饋功能「線上傳訊/對談」、「郵寄助教」、「成績資訊」及「主題討論」中「工作-科技配合度」的存在是合適的且「工作-科技配合度」會正向影響個人的「使用」;(2)由信度、效度分析顯示「功能有用」、「功能易用」、「回饋反應時間」及「回饋內容」四構面合適用來衡量線上學習回饋功能;(3)七項回饋功能在四構面上有認知差異;(4)七項回饋功能的個人「喜好」均會正向影響其「使用」;(5)使用者認知「功能有用」會正向影響個人的「喜好」(七種功能都有);「功能易用」會正向影響個人的「喜好」(課程討論、線上傳訊/對談、郵寄助教、平時測驗、成績資訊);「回饋反應時間」會正向影響個人的「喜好」(課程討論、成績資訊);「回饋內容」的正確與有效幫助會正向影響個人的「喜好」(七種功能都有)。
zh_TW
dc.description.tableofcontents 目錄…………………………………………………………………….I
     圖目錄………………………………………………………………….III
     表目錄………………………………………………………………….IV
     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 研究範圍……………………………………………………………4
     第四節 研究貢獻……………………………………………………………5
     第五節 研究流程……………………………………………………………7
     第二章 文獻探討…………………………………………………….8
     第一節 回饋定義……………………………………………………………8
     第二節 學習系統中回饋目的………………………………………………11
     2.2.1 學習者……………………………………………………………..11
      2.2.2 老師………………………………………………………………..22
     2.2.3 同儕………………………………………………………………..28
     2.2.4 系統設計師………………………………………………………..30
     第三節 回饋品質……………………………………………………………33
     2.3.1 回饋種類…………………………………………………………..33
     2.3.2 回饋反應時間……………………………………………………..40
     2.3.3 回饋內容…………………………………………………………..42
     第四節 有用及易用…………………………………………………………46
     第五節 工作-科技配合度…………………………………………………...49
     第三章 研究方法…………………………………………………….65
     第一節 研究架構……………………………………………………………65
     第二節 研究情境……………………………………………………………68
     第三節 研究假說……………………………………………………………69
     第四節 變數操作型定義與衡量方法………………………………………71
     第五節 問卷設計……………………………………………………………74
     第六節 前測信度效度……………………………………………..………..77
     3.6.1前測信度…………………………………………………………...77
     3.6.2前測效度…………………………………………………………...77
     第七節 問卷調查及回收……………………………………………………83
     第八節 資料分析方法………………………………………………………84
     第四章 資料分析與討論…………………………………………...86
     第一節 樣本結構分析………………………………………………………86
     第二節 信度分析……………………………………………………………88
     第三節 效度分析……………………………………………………………89
     4.3.1內容效度…………………………………………………………...89
     4.3.2結構效度…………………………………………………………...89
     4.3.3小結………………………………………………………………...94
     第四節 工作-科技配合度變項存在驗證…………………………………...95
     第五節 回饋科技在四構面上的認知差異…………………………………127
     第六節 喜好對使用的影響……………………………………………....…131
     第七節 四構面對喜好的影響………………………………………………137
     第五章 結論與建議………………………………………………....148
     5.1研究結論…………………………….……………………………….148
     5.2研究限制…………………………….……………………………….151
     5.3研究建議…………………………….……………………………….152
     參考文獻 ……………………………….…………..……………….153
     中文部份………………………………………..……………………………..153
     英文部份………………………………………..……………………………..155
     附錄一 …………………………………….…………….…………..162
     
     圖目錄
     圖1、本研究之研究流程圖…………………………………….……….…….……7
     圖2、基本型工作-科技配合度模式………………………………………………50
     圖3、工作-科技配合度模式………………………………………………………50
     圖4、整合路徑模式………………………………………………………………..51
     圖5、工作-科技配合度模式………………………………………………………52
     圖6、工作-科技配合度模式………………………………………………………53
     圖7、工作-科技配合度模式……………………………………………..…..……53
     圖8、工作-科技配合度模式…………………………………………..……..……54
     圖9、工作-科技配合度模式………………………………………...………..…...55
     圖10、工作-科技配合度模式……………………………………………...……...57
     圖11、工作-科技配合度模式……………………………………………………..58
     圖12、工作-科技配合度模式……………………………………………...……...59
     圖13、工作-科技配合度模式…………………………………………...………...60
     圖14、工作-科技配合度模式………………………………………...…………...61
     圖15、本研究之研究架構圖……………………………………………………....65
     圖16、配合度分群(四群)……………………………………………………..109
     
     
     
     
     表目錄
     表1、回饋定義…………………………………………………………………….…9
     表2、學習者回饋目的………………………………………………………………15
     表3、老師回饋目的…………………………………………………………………24
     表4、同儕回饋目的…………………………………………………………………29
     表5、系統設計師回饋目的…………………………………………………………31
     表6、回饋種類………………………………………………………………………39
     表7、回饋內容………………………………………………………………………44
     表8、工作-科技配合度定義…………………………………………………………49
     表9、工作種類與科技構面的配合度最佳組合……………………………………56
     表10、TTF相關文獻一覽……………………………………………………………62
     表11、TTF與TAM相異之處………………………………………………………67
     表12、問卷結構………………………………………………….……………….…72
     表13、前測信度分析…………………………………………………………….…77
     表14、學習工作項目前測因素分析結果……………………………………….…78
     表15、課程討論之回饋功能項目前測因素分析結果………………………….…78
     表16、線上傳訊/對談之回饋功能項目前測因素分析結果………………………79
     表17、郵寄助教之回饋功能項目前測因素分析結果……………………….……79
     表18、平時測驗之回饋功能項目前測因素分析結果……………………….……80
     表19、成績資訊之回饋功能項目前測因素分析結果……………………….……80
     表20、主題討論之回饋功能項目前測因素分析結果……………………….……81
     表21、作業觀摩之回饋功能項目前測因素分析結果………………………….…81
     表22、全測樣本信度分析結果………………………………………………….…88
     表23、學習工作項目因素分析結果…………………………………………….…90
     表24、課程討論之回饋功能項目因素分析結果……………………………….…90
     表25、線上傳訊/對談之回饋功能項目因素分析結果……………………………91
     表26、郵寄助教之回饋功能項目前測因素分析結果……………………….……91
     表27、平時測驗之回饋功能項目前測因素分析結果…………………….………92
     表28、成績資訊之回饋功能項目前測因素分析結果………………………….…92
     表29、主題討論之回饋功能項目前測因素分析結果…………………….………93
     表30、作業觀摩之回饋功能項目前測因素分析結果……………………….……93
     表31、課程討論兩模式對使用解釋能力比較……………………………….……96
     表32、七項回饋功能使用之平均數、標準差………………………………….…97
     表33、線上傳訊/對談兩模式對使用解釋能力比較…………………………....…98
     表34、郵寄助教兩模式對使用解釋能力比較………………………………….…100
     表35、平時測驗兩模式對使用解釋能力比較……………………………………102
     表36、成績資訊兩模式對使用解釋能力比較……………………………………104
     表37、主題討論兩模式對使用解釋能力比較…………………………….………106
     表38、作業觀摩兩模式對使用解釋能力比較……………………………………108
     表39、單因子變異數分析(四群)………………………………………………110
     表40、單因子變異數分析(三群)………………………………………………111
     表41、線上傳訊/對談區別分析之混淆矩陣(四群)………………………………112
     表42、郵寄助教區別分析之混淆矩陣(四群)……………………………………112
     表43、成績資訊區別分析之混淆矩陣(四群)………………………………….113
     表44、主題討論區別分析之混淆矩陣(四群)………………………………….113
     表45、四項回饋功能區別函數特徵結構(四群)………………………………114
     表46、線上傳訊/對談之區別因子(四群)……………………………………..115
     表47、郵寄助教之區別因子(四群)……………………………………………116
     表48、成績資訊之區別因子(四群)……………………………………………117
     表49、主題討論之區別因子(四群)……………………………………………118
     表50、線上傳訊/對談區別分析之混淆矩陣(三群)…………………………..119
     表51、郵寄助教區別分析之混淆矩陣(三群)…………………………………119
     表52、成績資訊區別分析之混淆矩陣(三群)…………………………………120
     表53、主題討論區別分析之混淆矩陣(三群)…………………………………120
     表54、四項回饋功能區別函數特徵結構(三群)………………………………121
     表55、線上傳訊/對談之區別因子(三群)……………………………………..122
     表56、郵寄助教之區別因子(三群)…………………………………………...123
     表57、成績資訊之區別因子(三群)……………………………………………124
     表58、主題討論之區別因子(三群)……………………………………………125
     表59、七項回饋功能四構面上的認知差異………………………………………127
     表60、喜好與使用之Pearson相關分析結果………………………………………131
     表61、喜好與使用之線性迴歸分析結果…………………………………………133
     表62、四構面對喜好之Pearson相關分析結果……………………………….…137
     表63、課程討論四構面對喜好複迴歸路徑分析……………………………….…139
     表64、線上傳訊/對談四構面對喜好複迴歸路徑分析………………………..…140
     表65、郵寄助教四構面對喜好複迴歸路徑分析…………………………………141
     表66、平時測驗四構面對喜好複迴歸路徑分析…………………………………142
     表67、七項回饋功能喜好之平均數、標準差……………………………………143
     表68、成績資訊四構面對喜好複迴歸路徑分析…………………………………144
     表69、主題討論四構面對喜好複迴歸路徑分析…………………………………145
     表70、作業觀摩四構面對喜好複迴歸路徑分析…………………………………146
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0090356018en_US
dc.subject (關鍵詞) 線上學習zh_TW
dc.subject (關鍵詞) 回饋功能zh_TW
dc.subject (關鍵詞) 工作-科技配合度zh_TW
dc.title (題名) 工作-科技配合度擴充模式:以線上學習回饋為例zh_TW
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 中文部份zh_TW
dc.relation.reference (參考文獻) 1. 王秋華,「網路教學之學生學習行為與學習滿意度及學習績效的關係」,大葉大學資訊管理研究所碩士論文,民國90年6月。zh_TW
dc.relation.reference (參考文獻) 2. 古永嘉譯,「企業研究方法第五版(Cooper, D. R. and Emory, C. W.原著)」,華泰文化,台北,民國85年3月。zh_TW
dc.relation.reference (參考文獻) 3. 李怡慧,「網路教學環境上群組合作學習分組方式之探討」,中山大學資訊管理研究所碩士論文,民國89年6月。zh_TW
dc.relation.reference (參考文獻) 4. 李美慧,「科技接受模式在非同步網路學習系統使用意向之應用」,中正大學資訊管理研究所碩士論文,民國90年7月。zh_TW
dc.relation.reference (參考文獻) 5. 李美華等譯,「社會科學研究方法初版(Earl Babbie原著第八版)」,時英出版,台北,民國87年2月。zh_TW
dc.relation.reference (參考文獻) 6. 林甘敏、陳年興,「網路大學學習問題探討」,資訊管理研究,第4卷第2期,民國91年7月,頁65-85。zh_TW
dc.relation.reference (參考文獻) 7. 林東清、孫培真,「系統使用調適過程對Web遠距作學習系統成功使用之影響:一個以調適性結構化理論為基礎之研究」,資訊管理學報,第7卷第2期,民國90年1月,頁193-214。zh_TW
dc.relation.reference (參考文獻) 8. 兩岸理財通,http://www.ez24h.com,查詢日期:民國91年9月8日。zh_TW
dc.relation.reference (參考文獻) 9. 周文賢,「多變量統計分析」,初版,智勝文化,民國91年6月。zh_TW
dc.relation.reference (參考文獻) 10. 吳明隆,「SPSS統計應用實務」,二版,文魁資訊,民國91年9月。zh_TW
dc.relation.reference (參考文獻) 11. 吳肇銘、范錚強,「網站使用意向模型之建構與實證-技術接受模型之運用」,管理學報,第17卷第3期,民國89年9月,頁461-481。zh_TW
dc.relation.reference (參考文獻) 12. 張金鐘,「以科技接受模式探討教師與學生採用數位化教材的態度」,國立中山大學資訊管理研究所碩士在職專班碩士論文,民國91年7月。zh_TW
dc.relation.reference (參考文獻) 13. 黃貝玲,「從線上學習的發展看企業線上訓練」,電子化企業經理人報告,No.19,民國90年3月,頁13 - 23。zh_TW
dc.relation.reference (參考文獻) 14. 黃俊英,「多變量分析」,第七版,中國經濟企業研究所,民國89年。zh_TW
dc.relation.reference (參考文獻) 15. 董和昇、梁定澎,「以認知學習觀點與任務-科技適配理論建構網際網路使用者資訊取得行為模型」,海峽兩岸管理資訊系統接軌暨第四屆資訊管理博士生論文研討會論文集 (台灣地區博士生論文集),民國91年4月,上海,頁101 - 107。zh_TW
dc.relation.reference (參考文獻) 16. 盧希鵬、林娟娟,「從資訊系統品質的角度探討WWW網站的接受程度」,國科會研究計畫:NSC 88-2416-H-011-011,執行期限:民國87年8月1日至88年7月31日。zh_TW
dc.relation.reference (參考文獻) 17. 謝明瑞,「遠距教育與媒體」,隔空教育論叢,第13輯,民國90年,頁36 - 42。zh_TW
dc.relation.reference (參考文獻) 18. 藍鴻文,「服務接觸中科技介入之影響-以網路教學為例」,國立中山大學企業管理研究所碩士論文,民國91年6月。zh_TW
dc.relation.reference (參考文獻) 19. 蘇幼良,「以建構主義教學策略探究國小二年級學童對聲音的概念學習」,國立台北師範學院數理教育研究所,民國91年6月。zh_TW
dc.relation.reference (參考文獻) 20. 蘇宏松,「以科技接受模型探討不同購買涉入下消費者對電子商店的使用意圖」,第3屆產業資訊管理學術暨新興科技研討會論文集(上集),台北,民國91年11月,頁289-298。zh_TW
dc.relation.reference (參考文獻) 21. 鐘惠貞,「影響網際網路上服飾採購的因素及性別的考量」,大葉大學事業經營研究所碩士論文,民國87年7月。zh_TW
dc.relation.reference (參考文獻) 英文部份zh_TW
dc.relation.reference (參考文獻) 1. Aiken, E. G., “Delayed feedback effects on learning and retention of Morse Code symbols,” Psychological Reports (23), 1968, pp. 723-730.zh_TW
dc.relation.reference (參考文獻) 2. Beeson, R. O. “Immediate knowledge of results and test performance,” Journal of Educational Research (66), 1973, pp. 224-226.zh_TW
dc.relation.reference (參考文獻) 3. Butler, D. L. and Winne, P. H. “Feedback and self-regulated learning: A theoretical synthesis,” Review of Educational Research (65 : 3), Fall 1995, pp. 245-281.zh_TW
dc.relation.reference (參考文獻) 4. Bationo, B. “The effects of three feedback forms on learning through a computer based tutorial,” Calico Journal (10 : 1), 1992, pp. 45-52.zh_TW
dc.relation.reference (參考文獻) 5. Balzer, W. K., Doherty, M. E. and O’Connor, R. “Effects of Cognitive feedback on performance,” Psychological Bulletin (106), 1989, pp. 410-433.zh_TW
dc.relation.reference (參考文獻) 6. Branson, R. W. and Grow, G. “Instructional systems development,” in Instructional Technology: Foundations, Gagne, R. M. (ed.), Lawrence Erlbaum Associates Publishers, Hillsdale, NJ, pp. 397-428, 1987.zh_TW
dc.relation.reference (參考文獻) 7. Banathy, B. H. A System View of Education; Concepts and Principles for Effective Practice, Educational Technology Publications, Englewood Cliffs, NJ, 1992.zh_TW
dc.relation.reference (參考文獻) 8. Carpenter, R. A. “A descriptive analysis of relationships between verbal behaviors of teacher-conductors and ratings of selected junior and senior high school rehearsals,” Applications of Research in Music Education (7 : 1), 1988, pp. 37-40.zh_TW
dc.relation.reference (參考文獻) 9. Cox, S. S. and Swanson, M. S. “Identification of teaching excellence in operating room and clinic Settings,” The American Journal of Surgery (183 : 3), March 2002, pp. 251-255.zh_TW
dc.relation.reference (參考文獻) 10. Cohen, J. Statistical Power Analysis for the Behavior Scinece, 2 er., Lawrence Erlbaum Association, Hillsdale, NJ, 1988.zh_TW
dc.relation.reference (參考文獻) 11. Duke, R. A., Prickett, C. A. and Jellison, J. A. “Empirical description of the pace of music instruction,” Journal of Research in Music Education (46), 1998, pp. 265-280.zh_TW
dc.relation.reference (參考文獻) 12. Duke, R. A. and Henninger, J. C. “Teachers’ verbal corrections and observers’ perceptions of teaching and learning,” JRME 2002 (50 : 1), 2002, pp. 75-85.zh_TW
dc.relation.reference (參考文獻) 13. Duke, R. A. “Teacher and student behavior in Suzuki string lessons: Results from the International Research Symposium on Talent Education,” Journal of Research in Music Education (47), 1999, pp. 293-307.zh_TW
dc.relation.reference (參考文獻) 14. Davis, F. D. “A Technology Acceptance Model of Empirically Testing New End-User Information Systems: Theory and Results,” Doctoral Dissertation, MIT Sloan School of Management, Cambridge, MA, 1986.zh_TW
dc.relation.reference (參考文獻) 15. Davis, F. D. “Perceive Usefulness, Perceived of Ease of Use, and End User Acceptance of Information technology,” MIS Quarterly (13 : 3), 1989, pp. 319-340.zh_TW
dc.relation.reference (參考文獻) 16. Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. “User acceptance of computer technology: a comparison of two theoretical models,” Management Science (35 : 8), August 1989, pp.982-1003.zh_TW
dc.relation.reference (參考文獻) 17. Dick, W. and Carey, L. The Systematic Design of Instruction, 3 nd ed., Harper Collins Publishers, New York, NY, 1990.zh_TW
dc.relation.reference (參考文獻) 18. Dishaw, M. T. and Strong, D. M. “Extending the technology acceptance model with task-technology fit constructs,” Information & Management (36), 1999, pp. 9-21.zh_TW
dc.relation.reference (參考文獻) 19. Dishaw, M. T. and Strong, D. M. “Supporting software maintenance with software engineering tools: A Computed task-technology fit analysis,” The Journal of Systems and Software (44), 1998, pp. 107-120.zh_TW
dc.relation.reference (參考文獻) 20. Dishaw, M. T. and Strong, D. M. “Assessing Software Maintenance Tool Utilization using Task-Technology Fit and Fitness-for-use Models,” Journal of software maintenance: Research and Practice (10), 1998b, pp. 151-179.zh_TW
dc.relation.reference (參考文獻) 21. Dishaw, M. T., and Strong, D. M., Google.com ”Experience as a Moderating Variable in a Task-Technology Fit Model”zh_TW
dc.relation.reference (參考文獻) http://www.isworld.org/ais.ac.98/proceedings/track17/dishaw.pdf, search date: 2002/11/03zh_TW
dc.relation.reference (參考文獻) 22. Dempsey, J. V., Drisoll, M. P. and Swindell, L. K. “Text-based feedback,” in Interactive Instruction and Feedback, Dempsey, J. V. and Sales, G. C. (eds.), Educational Technology Publications, Englewood Cliffs, NJ, 1993, pp.21-54.zh_TW
dc.relation.reference (參考文獻) 23. Epstein, M. L., Lazarus, A. D., Calvano, T. B. and Matthews, K. A. “Immediate feedback assessment technique promotes learning and corrects inaccurate first responses,” The Psychological Record (52 : 2), Spring 2002, pp. 187-201.zh_TW
dc.relation.reference (參考文獻) 24. Gaynor, P. “The effect of feedback delay on retention of computer-based mathematical material,” Journal of Computer-Based Instruction (8), 1981, pp. 28-34.zh_TW
dc.relation.reference (參考文獻) 25. Goodhue, D. L. and Thompson, R. L. “Task-Technology Fit and Individual Performance,” Mis Quarterly (19 : 2), June 1995, pp. 213-236.zh_TW
dc.relation.reference (參考文獻) 26. Goodhue, D. L. “Understanding User Evaluations of Information Systems,” Management Science (41 : 12), December 1995, pp. 1827-1844.zh_TW
dc.relation.reference (參考文獻) 27. Goodhue, D. “The Model Underlying the Measurement of the Impacts of the IIC on the End-Users,” Journal of The American Society for Information Science (48 : 5), 1997, pp. 449-453.zh_TW
dc.relation.reference (參考文獻) 28. Goodhue, D., Littlefield, R. and Straub, D. W. “The Measurement of the Impacts of the IIC on the End-Users: The Survey,” Journal of The American Society for Information Science (48 : 5), 1997, pp. 455-465.zh_TW
dc.relation.reference (參考文獻) 29. Gertner, A. S. “Providing Feedback to Equation Entries in an Intelligent Tutoring System for Physics,” Lecture Notes in Computer Science (1452), 1998, pp. 254-264.zh_TW
dc.relation.reference (參考文獻) 30. Goette, T. “Keys to the adoption and use of voice recognition technology in organizations,” Library Computing (19 : 3/4), 2000, pp.235-244.zh_TW
dc.relation.reference (參考文獻) 31. Google.com ”Feedback in Computer Assisted Instruction and Computer Assisted Language Learning”zh_TW
dc.relation.reference (參考文獻) http://www.edb.utexas.edu/mmresearch/Students96/Buscemi/researchproject.html, search date: 2002/07/09zh_TW
dc.relation.reference (參考文獻) 32. Hair, F. J., Anderson, E. R., Tatham, L. R. and Black, C. W. Multivariate Data Analysis, 5 th ed, Prentice-Hall International Inc, 1998.zh_TW
dc.relation.reference (參考文獻) 33. Hetherington, E. M. and Ross, L. E. “Discrimination learning by normal and retarded children under delay of reward and interpolated task conditions,” Child Development (38), 1967, pp. 639-647.zh_TW
dc.relation.reference (參考文獻) 34. Hong, K. K. and Kim, Y. G. “The critical success factors for ERP implementation: an organizational fit perspective,” Information & Management (40), 2002, pp.25-40.zh_TW
dc.relation.reference (參考文獻) 35. Jacobs, G. M., Curtis, A., Braine, G. and Huang, S. Y. “Feedback on student writing-taking the middle path,” Journal of Second Language Writing (7 : 3), September 1998, pp. 307-317.zh_TW
dc.relation.reference (參考文獻) 36. Kostka, M. J. “An investigation of reinforcements, time use, and student attentiveness in piano lesssons,” Journal of Research in Music Education (32), 1984, pp. 113-122.zh_TW
dc.relation.reference (參考文獻) 37. Kulhavy, R. W. and Stock, W. A. “Feedback in written instruction: The place of response certitude,” Educational Psychology Review (1), 1989, pp.279-308.zh_TW
dc.relation.reference (參考文獻) 38. Kulhavy, R. W. and Wager, W. “Feedback in programmed instruction: Historical context and implications for practice,” In Interactive instruction and feedback (pp.3-20), Dempsev, J. V. and Sales, G. C. (eds.), Educational Technology Publications, Englewood Cliffs, NJ, 1993.zh_TW
dc.relation.reference (參考文獻) 39. Ley, K. “providing feedback to distant students,” Campus-Wide Information Systems (16 : 2), 1999, pp. 63-69.zh_TW
dc.relation.reference (參考文獻) 40. Lin, J. C. and Lu, H. “Towards an understanding of the behavioural intention to use a web site,” International Journal of Information Management (20), 2000, pp. 197-208.zh_TW
dc.relation.reference (參考文獻) 41. McBeath, R. Instructing and Evaluating in Higher Education; A Guidebook for Planning Learning Outcomes, Educational Technology Publications, Englewood Cliffs, NJ, 1992.zh_TW
dc.relation.reference (參考文獻) 42. Mathieson, K. and Keil, M. “Beyond the interface: Ease of use and task/technology fit,” Information & Management (34), 1998, pp. 221-230.zh_TW
dc.relation.reference (參考文獻) 43. Ovando, M. N. “Constructive Feedback: A Key to Successful Teaching and Learning,” International Journal of Educational Management (8 : 6), 1994, pp.19-22.zh_TW
dc.relation.reference (參考文獻) 44. Paukert, J. L., Richards, M. L. and Olney, C. “An encounter card system for increasing feedback to students,” The American Journal of Surgery (183 : 3), March 2002, pp. 300-304.zh_TW
dc.relation.reference (參考文獻) 45. Pressey, S. L. “A simple device which gives tests and scores and teaches,” School and Society (23), 1926, pp.373-376.zh_TW
dc.relation.reference (參考文獻) 46. Reiser, R. A. and Dick, W. Instructional Planning; A Guide for Teachers, Allyn and Bacon, Boston, MA, 1996.zh_TW
dc.relation.reference (參考文獻) 47. Rankin, R. J. and Tepper, T. “Retention and delay of feedback in a computer assisted instruction task,” Journal of Experimental Education (46), 1978, pp. 67-70.zh_TW
dc.relation.reference (參考文獻) 48. Ross, S. M. and Morrison, G. R. “Using feedback to adapt instruction for individuals,” in Interactive instruction and feedback (pp.177-195), Dempsev, J. V. and Sales, G. C. (eds.), Educational Technology Publications, Englewood Cliffs, NJ, 1993.zh_TW
dc.relation.reference (參考文獻) 49. Reid, I. C. “Reflections on using the Internet for the evaluation of course delivery,” The Internet and Higher Education (4 : 1), 1st quarter 2001, pp. 61-75.zh_TW
dc.relation.reference (參考文獻) 50. Serwatka, J. A. “Improving student performance in distance learning courses,” T.H.E. Journal (29 : 9), Apr 2002, pp. 46-51.zh_TW
dc.relation.reference (參考文獻) 51. Schutz, P. A. and Weinstein, C. E. “Using Test Feedback to Facilitate the Learning Process,” Innovation Abstracts NISOD (12 : 6), 1990, pp. 1-2.zh_TW
dc.relation.reference (參考文獻) 52. Skinner, B. F. “Teaching machines,” Science (128), 1958, pp. 969-977.zh_TW
dc.relation.reference (參考文獻) 53. Sales, G. C. “Designing feedback for CBI: Matching feedback to the learner and learning outcomes,” Computers in the School (5 : 1/2), 1988, pp. 225-239.zh_TW
dc.relation.reference (參考文獻) 54. Sales, G. C. “Adapted and adaptive feedback in technology based instruction,” In Interactive instruction and feedback (pp.159-175), Dempsev, J. V. and Sales, G. C. (eds.), Educational Technology Publications, Englewood Cliffs, NJ, 1993.zh_TW
dc.relation.reference (參考文獻) 55. Schweir, R. “Issues in emerging interactive technologies,” in Instructional Technology: Past, Present, and Future, 2nd ed., Anglin, G. J. (ed.), Libraries Unlimited, Inc., Englewood, CO, 1995, pp. 10-19.zh_TW
dc.relation.reference (參考文獻) 56. Smith, P. and Ragan, T. Instructional Design, Merrill, New York, NY, 1992.zh_TW
dc.relation.reference (參考文獻) 57. Shneiderman, B. Designing the User Interface Strategies for Effective Human-Computer Interaction, 3 nd ed., ADDISON WESLEY, 1998.zh_TW
dc.relation.reference (參考文獻) 58. Slavings, R., Cochran, N. and Bowen, G. W. “Result of a National Survey on College Chemistry Faculty Beliefs and Attitudes of Assessment-of-Student-Learning Practices,” The Chemical Educator (2 : 1), 1997, pp. 1-28.zh_TW
dc.relation.reference (參考文獻) 59. Staples, D. S., and Jarvenpaa, S. L., Google.com ”Using electronic media for information sharing activities: A Replication and Extension”zh_TW
dc.relation.reference (參考文獻) http://staples.bus.queensu.ca/research/ICIS%202000%20final.pdf, search date: 2002/11/03zh_TW
dc.relation.reference (參考文獻) 60. Tessmer, M. Planning and Conducting Formative Evaluations, Kogan Page, London, 1993.zh_TW
dc.relation.reference (參考文獻) 61. Tecuci, G. and Keeling, H. “Developing Intelligent Educational Agents with the Disciple Learning Agent Shell,” Lecture Notes in Computer Science (1452), 1998, pp. 454-463.zh_TW
dc.relation.reference (參考文獻) 62. Tang, C., Li, Q., Lau, R. W.H. and Huang, X. “Supporting Practices in Web-Based Learning,” Lecture Notes in Computer Science (2436), 2002, pp. 300-309.zh_TW
dc.relation.reference (參考文獻) 63. Webb, J. M., Stock, W. A. and McCarthy, M. T. “The effects of feedback timing on learning facts: The role of response confidence,” Contemporary Educational Psychology (19), 1994, pp. 251-265.zh_TW
dc.relation.reference (參考文獻) 64. Wolcott, L. L. “The distance teacher as reflective practitioner,” Educational Technology (35 : 1), 1995, pp. 39-43.zh_TW
dc.relation.reference (參考文獻) 65. Wager, W. and Wager, S. “Presenting questions, processing responses, and providing feedback in CAI,” Journal of Instructional Development (8 : 4), 1986, pp. 2-8.zh_TW
dc.relation.reference (參考文獻) 66. Yarbrough, C. and Price, H. E. “Prediction of performer attentiveness based on rehearsal activity and teacher behavior,” Journal of Research in Music Education (29), 1981, pp. 209-217.zh_TW
dc.relation.reference (參考文獻) 67. Lending, D. and Straub, D. W. “Impacts of an Integrated Information Center on Faculty End-Users: A Qualitative Assessment,” Journal of The American Society for Information Science (48 : 5), 1997, pp. 466-471.zh_TW
dc.relation.reference (參考文獻) 68. Zigurs, I. and Buckland, B. K. “A Theory of Task/Technology Fit and Group Support Systems Effectiveness,” MIS Quarterly (22 : 3), 1998, pp. 313-334.zh_TW