臺灣博碩士論文加值系統

大規模開放式線上課程 (MOOCs/磨課師)，是最近盛行的線上數位學習，MOOCs將學習的自主權與學習的時間節奏交還給學生，學生能夠安排自己想要學習的課程和時間，可以有更多和更方便的學習機會。然而我們發現MOOCs平台還有許多不足的地方，像是同儕與師生之間的互動、學習評估系統的不明確、學習回饋機制等問題。另一方面，隨著智慧型手機的普及化，行動學習的議題近年來也越來越重要，本來MOOCs只能透過網站來進行線上學習，現在也可以利用手機來進行行動學習，使用者不限定待在家中或室內才能夠上網修課，只要透過智慧型手機APP就能夠隨時隨地的學習。
所以我們在現有的MOOCs學習平台上，結合行動裝置APP發展互動與輔助學習的功能，以及針對系統缺乏的回饋功能開發額外的分析系統，並將結果透過行動裝置APP的整合提供老師與學生所需要的服務，希望透過系統回饋機制作改善和提供更好的延伸功能與服務。
本研究以edX學習平台為基礎建構學習小幫手系統，透過edX平台提供教學環境並且收集學生的學習記錄，處理並分析學習記錄來取得學習行為，分析後的學習行為能夠提供系統來決定如何輔助學生學習，而學生可以透過行動裝置來得知學習狀況並改善學習成效。

Massive open online courses (MOOCs) recently become prevalent E-learning. MOOCs return the autonomy of learning to students. Students can arrange courses and learning time they want to learn. Therefore, they can learn more as an autonomous learner. On the other hand, with the popularity of smartphones the MOOCs learning mode can be changed from using the Web for learning to using the phone for mobile learning. M-Learning is an increasingly important issue in recent years, where users will not need to stay at home to learn. Using the APP on a smartphone one can learn anytime, anywhere. However, we found MOOCs platform has many deficiencies, such as the lack of interaction between peers, unclear learning evaluation, and inadequate learning feedback mechanisms.
We integrate APP on mobile devices and MOOCs learning platform with the addition of peer interaction and learning assisted functions. Using the existing MOOCs learning platform as the basis, we provide additional analysis for the above mentioned problems. With mobile APPs tour system integrate the interaction functionality of teachers and students, as well as the feedback mechanism to provide better services and extended functions.
In this research, we construct a learning assistant system based on the edX learning platform. To provide additional teaching and learning services through the edX platform and mobile phones, we collect students academic records, process and analyze related data to obtain students’ learning behavior and their performance. The result of learning behavior analysis and learning reminder can help the system and teachers determine when and how to assist students. Students can get progress reports from our system and improve their academic performance accordingly.

誌謝 i
摘要 ii
Abstract iii
目錄 v
圖目錄 vii
表目錄 viii
第一章 緒論 1
1.1. 研究背景 1
1.2. 研究動機 1
1.3. 研究目的 2
1.4. 論文組織與架構 3
第二章 相關研究 4
2.1 MOOCs平台 4
2.2 行動學習 6
2.3 Web Service 6
2.4 輔助教學 8
2.5 分類器 8
第三章 研究方法 9
3.1 系統環境建置 9
3.2 弱點分析 10
3.3 分析策略 11
第四章 系統設計與實作 15
4.1 學習小幫手系統概觀 15
4.2 學習小幫手系統架構 16
4.3 學習小幫手系統運作 17
4.4 資料庫結構 20
4.5 APP功能與系統介接 23
第五章 系統測試與評估 28
5.1 系統負載測試 28
5.2 預警系統 32
5.3 使用者滿意度調查 36
第六章 結論和未來研究 43
6.1 結論 43
6.2 未來研究 44
參考文獻 45

[1]Kay, J., Reimann, P., Diebold, E., and Kummerfeld, B., “MOOCs: So Many Learners, So Much Potential,” IEEE Intelligent Systems, 28(3), pp. 70 - 77, 2013
[2]Severance, C., “Teaching the World: Daphne Koller and Coursera,” Computer, 45(8), pp. 8-9, 2012
[3]Breslow, L., Pritchard, D. E., DeBoer, J., Stump, G. S., Ho, A. D., and Seaton, D. T., “Studying learning in the worldwide classroom. Research into edX’s first MOOC,” Research & Practice in Assessment, 8, pp. 13-25, 2013
[4]Shi, C., Fu, S., Chen, Q., and Qu, H., “VisMOOC: Visualizing video clickstream data from massive open online courses,” Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on, pp. 277 - 278, Oct. 2014.
[5]Hew, K. F., and Cheung, W. S., “Students’ and instructors’ use of massive open online courses (MOOCs): Motivations and challenges,” Educational Research Review, 12, pp. 45 - 58, 2014
[6]Massive open online course URL: https://en.wikipedia.org/wiki/Massive_open_online_course, Jan. 2016
[7]Severance, C., “MOOCs: An Insiders View,” Computer, 46(10), pp. 93 - 96, 2013
[8]Iqbal, S., Zang, X., Zhu, Y., Chen, Y. Y., and Zhao, J., “On the Impact of MOOCs on Engineering Education,” MOOC, Innovation and Technology in Education (MITE), 2014 IEEE International Conference on, pp. 101 - 104, Dec. 2014
[9]Siemens, G. "Massive Open Online Courses: Innovation in Education?" Open Educational Resources: Innovation, Research and Practice, R. McGreal ,W. Kinuthia & S. Marshall (Eds.), pp. 5 - 15, 2013, Commonwealth of Learning and Athabasca University, Vancouver.
[10]AlDahdouh, A. A., Osório, A. J., and Caires, S., “Understanding knowledge network, learning and connectivism,” International Journal of Instructional Technology and Distance Learning, 12(10), pp. 3 - 21, Oct. 2015.
[11]Daradoumis, T., Bassi, R., Xhafa, F., and Caballé, S, “A review on massive e-learning (MOOC) design, delivery and assessment,” P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2013 Eighth International Conference on, pp. 208 - 213, Oct. 2013.
[12]Kizilcec, R. F., Piech, C., and Schneider, E, “Deconstructing disengagement: analyzing learner subpopulations in massiveopen online courses,” Third Conference on Learning Analytics and Knowledge, pp. 170 - 179, Apr. 2013.
[13]Qu, H., and Chen, Q, “Visual Analytics for MOOC Data,” IEEE Computer Graphics and Applications, 35(6), pp. 69 - 75, 2015
[14]M-learning wiki URL:
https://en.wikipedia.org/wiki/ M-learning, Mar. 2016
[15]Tabuenca, B., M. Kalz, M., Drachsler, H., and Specht, M., “Time will tell: the role of mobile learning analytics in self-regulated learning,” Computers & Education, 89, pp. 53 - 74, 2015
[16]Navarro, C. X., Molina, A. I., Redondo, M. A., and Juárez-Ramírez, R., “Framework to Evaluate M-Learning Systems: A Technological and Pedagogical Approach,” IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, 11(1), pp. 33 - 40, 2016
[17]Web Services Architecture URL:
https://www.w3.org/TR/ws-arch/, Apr. 2016
[18]Web Services wiki URL:
https://en.wikipedia.org/wiki/Web_service, Apr. 2016
[19]Schrader A., A Teachers Guide to Long Distance Tutoring. Edudemic, Retrieved from http://www.edudemic.com/teachers-guide-long-distance-tutoring/, June, 2016
[20]Valakunde, N. D., and Patwardhan, M. S., “Multi-aspect and multi-class based document sentiment analysis of educational data catering accreditation process,” Cloud & Ubiquitous Computing & Emerging Technologies (CUBE), 2013 International Conference on, pp. 188 - 192, 2013
[21]Baradwaj, B. K., and Pal, S., “Mining Educational Data to Analyze Students Performance,” International Journal of Advanced Computer Science and Applications, 2(6), pp. 63 - 69, 2011.
[22]Sachin, R. B., and Vijay, M. S., “A survey and future vision of data mining in educational field,” Advanced Computing & Communication Technologies (ACCT), Second International Conference on, pp. 96 - 100, Jan. 2012
[23]Menascé, D. A., “Load testing of Web sites,” IEEE Internet Computing, 6(4), pp. 70 - 74, 2002
[24]Visual Studio Online 雲端壓力測試(Cloud Load Test) URL: https://www.visualstudio.com/features/vso-cloud-load-testing-vs, Mar. 2016
[25]Apache JMeter - Apache JMeter™ URL:
http://jmeter.apache.org/, Mar. 2016
[26]Kolowich, L., 17 Things People Absolutely Hate About Your Website. Retrieved from http://blog.hubspot.com/blog/tabid/6307/bid/32307/15-Things-People-Absolutely-Hate-About-Your-Website.aspx#sm.0000634rhbvq1ehjt5d1y3q0lcgks, May 2016
[27] Brooke, J., “SUS: A Quick and Dirty Usability Scale,” Usability Evaluation in Industry, Jordan, P. W., Thomas, B., Weerdmeester, B. A. & McClelland, I. L. (eds.), pp. 189 - 194, 1996, Taylor and Francis, London.
[28]Bangor, A., Kortum, P. T., and Miller, J. T., “Determining what individual SUS scores mean: Adding an adjective rating scale,” Journal of Usability Studies, 4(3), pp. 114 - 123, 2009
[29]Markovina, J., Stewart-Knox, B. J., Rankin, A., Gibney, M., de Almeida, M., Fischer, A., Kuznesof, S. A., Poínhos, R., Panzone, L., and Frewer, L. J., “Food4Me study: Validity and reliability of Food Choice Questionnaire in 9 European countries,” Food Quality and Preference, 45, pp. 26 - 32, 2015
[30]de Guinea, A. O., Titah, R., and Léger, P. M.,“Measure for measure: A two study multi-trait multi-method investigation of construct validity in IS research,” Computers in Human Behavior, 29 (3), pp. 833 - 844, 2013