台灣的英語教育從小學三年級即開始，家長們普遍希望在小時候就開始學習英文，但是在台灣教育制度的環境下、以及考試的壓力，導致越來越多小學生開始對英語學習反感，而使學習成效不彰。但若能讓孩童在剛開始接觸英語時，培養對學習英語的興趣，就能有效解決問題。
因此，本研究透過英語合作說故事的活動，運用在小學三年級的彈性課程，並利用兩種不同的合作模式來探討學生學習投入與動機的變化，且加入網路學習社群的概念於研究中以分析學生的社會網路。
本研究透過設計研究法，系統為開發在iPad的「繪本館」APP，並設計兩種不同的繪本製作功能於合作說故事的活動中，進行兩人一組繪本製作的活動，透過系統的錄音與畫板等功能，並模仿電子繪本的內容，來完成自己的繪本。本研究活動共進行26次，實驗對象為桃園縣某國民小學三年級，並加入先前同為說故事研究（李杰駿, 2014）的樣本資料作為控制組。分析控制組與實驗組在長期的合作說故事活動的學習投入與動機差異，其中也加入同儕自互評的方式觀察學生的合作情形。此外，透過社會網路分析軟體，分析實驗組學生的參與程度並討論其中差異。
實驗結果顯示，控制組在使用同樣的製作繪本方式，在學習投入與動機中，除了工作價值以外，並沒有產生顯著變化。實驗組進行了兩階段不同的製作繪本方式與導入網路學習社群概念，整體學習投入、內在動機、工作價值皆有顯著提升，對於合作自評部分也有顯著提高。實驗組與控制組的交互作用部分，整體學習投入有顯著交互作用，而學習動機則沒有產生交互作用。可以說明導入網路學習社群概念在合作說故事活動上，對於學生學習投入，特別是專注力與控制力是有顯著差異的，而對學習動機部分也向上提升但無顯著交互作用，說明新的合作模式可能不是影響學習動機的主要因素。
透過社會網路分析，發現不同參與程度學生間，新的合作製作繪本模式對於核心參與學生的學習投入影響較大，學習動機策略部分，核心參與學生在內在動機與工作價值提升較為顯著，周邊參與學生則是在學習自我效能達到顯著差異。同儕互評部分，周邊參與學生在同儕合作滿意度上取得較高評價。
整體而言，加入網路學習社群的概念於英語學習活動是有正向的效果。依照實驗結果之建議，未來研究可以擴大整體學習社群，並加入不同的學習任務在其中，找出適當的學習模式給不同分群性質的學生。

English education for children in Taiwan start at third grade. Their parents prefer them to learn English when they are young. But due to the environment of Taiwan education and the pressure of examination, more and more students start to feel antipathy toward learning English. But if we can make them interested in learning English while they start it. We can solve the problem.
Hence, our research applies collaborative storytelling to a group of third grade students. We use two different modes of collaborative to observe the change of learning engagement and motivation. And we apply the concept of Networked learning community to analyzed the social network of students.
The research method is design-based research. The system is an iPad app named “Story and Painting House”. We design two different ways of making story book in the activate of collaborative storytelling in a group of two students. By using sound recoding and sketchpad to imitate the e-storybook and finish their own storybook.
The number of experiment is twenty-six times in an elementary school in Taoyuan. And use the data of the research of storytelling (Lee, 2014) as control group. Analyzing the learning engagement and motivation of control group and experiment group. Adding peer and self-assessment to observe the situation of collaboration between students. And by using the social network analysis software our research can observe and discuss the participation of experiment group.
The result shows us that. When control group use the same way of making story book. There’s no significant change on learning engagement and the majority of learning motivation. The experiment group use two phrases: different methods of making story book and applying the concept of Networked Learning Community. The learning engagement, intrinsic goal orientation, task value, peer and self assessment all have significantly positive progress. There’s significant interaction between the experiment group and the control group on learning engagement, but no reflection on learning motivation. The result illustrates that applying Networked Learning Community to collaborative storytelling significantly affects the learning engagement, especially on Control and Attention focus. The learning motivation increase but no significantly interaction. It elaborates that the new collaboration method might not be the main factor to affect the learning motivation.
Through social networked analysis, the result shows that the new collaborative storytelling influences significantly to core students' learning engagement. For the part of learning motivation, core students improve significantly in intrinsic goal orientation and task value, and peripheral students improve significantly in self-efficacy for learning and performance. For the part of peer assesment, peripheral students get higher estimation in collaboration with peer.
Overall, the environment of Networked Learning Community in English learning has positive effect. This study suggests that future researches could expand learning community and add different learning tasks to find proper learning model for different group of student in the social network.

中文文獻
陳韋辰. (2015). 數位戲劇式說故事對於語文學習投入與創造力自我效能之影響。 中央大學網路學習科技研究所學位論文。
陳佩英, & 簡菲莉. (2015). 引介網絡學習社群與實踐的研究課題. 教育研究集刊.
張閔惠. (2016). 不一樣的閱讀課-淺談數位說故事在閱讀學上的運用. 臺灣教育評論月刊, 5(6), 212-217.
EF國際文教機構.(2015). 全球成人英語能力指標. Retrieved from http://www.ef.com.tw/epi/regions/asia/taiwan/
教育部. (2016). 十二年國民基本教育課程綱要總綱發布版. Retrieved from http://www.naer.edu.tw/files/15-1000-7944,c639-1.php?Lang=zh-tw
李振清.(2012). 台灣英語教育的演進與前瞻思維. 台灣教育, (674), 31-40.
李杰駿. (2014). Web2.0英文學習環境之學習成效及心流研究: 男女生的比較。 中央大學網路學習科技研究所學位論文。
李文瑞. (2007). 初探台灣英語教育之現況與困境. 語文與國際研究, (4), 95-107.
王品卿. (2014). Web2.0 英語學習活動之學生心流與學習動機歷程研究。中央大學網路學習科技研究所學位論文。
王妤. (2015). 英語熟練程度對於學生於Web2.0英語學習環境之學習投入與策略之影響。中央大學網路學習科技研究所學位論文。
英文文獻
Alfonseca, E., Carro, R. M., Martín, E., Ortigosa, A., & Paredes, P. (2006). The impact of learning styles on student grouping for collaborative learning: a case study. User Modeling and User-Adapted Interaction, 16(3-4), 377-401.
Barnes, J. A. (1954). Class and committees in a Norwegian island parish. New York: Plenum.
Beane, W. E., & Lemke, E. A. (1971). Group variables influencing the transfer of conceptual behavior. Journal of Educational Psychology, 62(3), 215.
Benford, S., Bederson, B. B., Åkesson, K. P., Bayon, V., Druin, A., Hansson, P., ... & Simsarian, K. T. (2000, April). Designing storytelling technologies to encouraging collaboration between young children. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems (pp. 556-563). ACM.
Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). Ucinet for Windows: Software for social network analysis.
Cao, Y., Klamma, R., & Martini, A. (2008, September). Collaborative storytelling in the Web 2.0. In Proceedings of the First International Workshop on Story-Telling and Educational Games (STEG’08).
Cho, H., Gay, G., Davidson, B., & Ingraffea, A. (2007). Social networks, communication styles, and learning performance in a CSCL community.Computers & Education, 49(2), 309-329.
Cho, H., Lee, J. S., Stefanone, M., & Gay, G. (2005). Development of computer-supported collaborative social networks in a distributed learning community. Behaviour & Information Technology, 24(6), 435-447.
Csikszentmihalyi, M. (1975). Beyond boredom and anxiety: Jossey-Bass.
Csikszentmihalyi, M. (1991). Flow: The psychology of optimal experience (Vol. 41): HarperPerennial New York.

Dai, L. P., & Huang, L. J. (2009, December). V-Model Method of Individual Education Based on Networked Learning Community. In 2009 International Conference on Information Engineering and Computer Science (pp. 1-3). IEEE.
Darvin, R., & Norton, B. (2014). Transnational identity and migrant language learners: The promise of digital storytelling. Education Matters: The Journal of Teaching and Learning, 2(1).
Dawson, S., Bakharia, A., & Heathcote, E. (2010, May). SNAPP: Realising the affordances of real-time SNA within networked learning environments. Networked Learning.
Day, C., Hadfield, M., & Kellow, M. (2002). Schools as learning communities: Building capacity through network learning. Education 3-13, 30(3), 19-22.
De Laat, M., Lally, V., Lipponen, L., & Simons, P. R. J. (2005). Patterns of interaction in a networked learning community: Squaring the circle. Manuscript submitted for publication.
De Laat, M., Lally, V., Lipponen, L., & Simons, R. J. (2007). Online teaching in networked learning communities: A multi-method approach to studying the role of the teacher. Instructional Science, 35(3), 257-286.
De Laat, M., Lally, V., Lipponen, L., & Simons, R. J. (2007). Investigating patterns of interaction in networked learning and computer-supported collaborative learning: A role for Social Network Analysis. International Journal of Computer-Supported Collaborative Learning, 2(1), 87-103.

 
de-Marcos, L., García-López, E., García-Cabot, A., Medina-Merodio, J. A., Domínguez, A., Martínez-Herráiz, J. J., & Diez-Folledo, T. (2016). Social network analysis of a gamified e-learning course: Small-world phenomenon and network metrics as predictors of academic performance. Computers in Human Behavior, 60, 312-321.
Désilets, A., & Paquet, S. (2005). Wiki as a tool for web-based collaborative story telling in primary school: A case study.
Gelmini-Hornsby, G., Ainsworth, S., & O’Malley, C. (2011). Guided reciprocal questioning to support children’s collaborative storytelling. International Journal of Computer-Supported Collaborative Learning, 6(4), 577-600.
Hourcade, J. P., Bederson, B. B., Druin, A., & Taxén, G. (2002, April). KidPad: collaborative storytelling for children. In CHI'02 extended abstracts on Human factors in computing systems (pp. 500-501). ACM.
Jackson, D., & Temperley, J. (2007). From professional learning community to networked learning community. Professional learning communities: Divergence, depth and dilemmas, 45-62.
Jolliffe, W., & Hutchinson, H. (2007). Implementing cooperative learning in a networked learning community. Education, 35(1), 5-16.
Katz, S., & Earl, L. (2010). Learning about networked learning communities.School effectiveness and school improvement, 21(1), 27-51.
Lin, Y. T., Huang, Y. M., & Cheng, S. C. (2010). An automatic group composition system for composing collaborative learning groups using enhanced particle swarm optimization. Computers & Education, 55(4), 1483-1493.
Lina, Y. (2012). Constructing Networked Learning Community Based On the Education Knowledge Management Platform. Procedia Environmental Sciences, 12, 1324-1328.
Liu, C. C., Liu, K. P., Chen, W. H., Lin, C. P., & Chen, G. D. (2011). Collaborative storytelling experiences in social media: Influence of peer-assistance mechanisms. Computers & Education, 57(2), 1544-1556.
Martin, E., & Paredes Barragán, P. (2004). Using learning styles for dynamic group formation in adaptive collaborative hypermedia systems.
Martınez, A., Dimitriadis, Y., Rubia, B., Gómez, E., & De La Fuente, P. (2003). Combining qualitative evaluation and social network analysis for the study of classroom social interactions. Computers & Education, 41(4), 353-368.
Menezes, H. (2012). Using Digital Storytelling to Improve Literacy Skills.International Association for Development of the Information Society.
Molano, S., & Polo, A. (2015). Social Network Analysis in a Learning Community. Procedia-Social and Behavioral Sciences, 185, 339-345
Moreno, J., Ovalle, D. A., & Vicari, R. M. (2012). A genetic algorithm approach for group formation in collaborative learning considering multiple student characteristics. Computers & Education, 58(1), 560-569.
Nordmark, S., & Milrad, M. (2012, March). Mobile digital storytelling for promoting creative collaborative learning. In Wireless, Mobile and Ubiquitous Technology in Education (WMUTE), 2012 IEEE Seventh International Conference on (pp. 9-16). IEEE.
 
OECD. (2013). PISA 2015 Collaborative Problem Solving Framework: OECD
Publishing.
Palonen, T., & Hakkarainen, K. (2013, April). Patterns of interaction in computersupported learning: A social network analysis. In Fourth International Conference of the Learning Sciences (pp. 334-339).
Pintrich, P. R. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire (MSLQ).
Reffay, C., & Chanier, T. (2002, June). Social Network Analysis used for modelling collaboration in distance learning groups. In International Conference on Intelligent Tutoring Systems (pp. 31-40). Springer Berlin Heidelberg.
Ryokai, K., & Cassell, J. (1999, May). StoryMat: a play space for collaborative storytelling. In CHI'99 extended abstracts on Human factors in computing systems (pp. 272-273). ACM.
Sammons, P., Mujtaba, T., Earl, L., & Gu, Q. (2007). Participation in network learning community programmes and standards of pupil achievement: does it make a difference?. School Leadership and Management, 27(3), 213-238.
Scott, J. (2011). Social network analysis: developments, advances, and prospects. Social network analysis and mining, 1(1), 21-26.
Serrat, O. (2009). Social network analysis.
Shen, D., Nuankhieo, P., Huang, X., Amelung, C., & Laffey, J. (2008). Using social network analysis to understand sense of community in an online learning environment. Journal of Educational Computing Research, 39(1), 17-36.

Streeter, C. L., & Gillespie, D. F. (1993). Social network analysis. Journal of Social Service Research, 16(1-2), 201-222.
Wang, S. L., & Lin, S. S. (2007). The effects of group composition of self-efficacy and collective efficacy on computer-supported collaborative learning.Computers in human behavior, 23(5), 2256-2268.
Wang, S., & Vásquez, C. (2012). Web 2.0 and second language learning: What does the research tell us. Calico Journal, 29(3), 412-430.
Wilkinson, I. A., & Fung, I. Y. (2002). Small-group composition and peer effects. International Journal of Educational Research, 37(5), 425-447.
Xu, L., & He, W. (2014). Networked Learning Community Construction Based on Instant Messaging Software. In Advanced Materials Research (Vol. 971, pp. 1663-1666). Trans Tech Publications.
Yang, Y. T. C., & Wu, W. C. I. (2012). Digital storytelling for enhancing student academic achievement, critical thinking, and learning motivation: A year-long experimental study. Computers & Education, 59(2), 339-352.
Yilmaz, R. (2016). Knowledge sharing behaviors in e-learning community: Exploring the role of academic self-efficacy and sense of community.Computers in Human Behavior, 63, 373-382.
Zurita, G., Nussbaum, M., & Salinas, R. (2005). Dynamic grouping in collaborative learning supported by wireless handhelds. Educational Technology & Society, 8(3), 149-161.