機器人輔助教育多被用在STEM (Science, Technology, engineering, Mathematics)的主題上。近年來，智能機器人在語言教育輔助的發展潛能被慢慢挖掘出來，越來越多的相關研究在找尋方法去完善整個學習的過程。本篇以智能機器人Zenbo為智能機器人輔助教學，設計了一支以數位學習為主軸的應用程式，去教4-5歲孩童第一語言也就是注音符號課程。利用小孩面對機器人不會害羞，甚至會被引起學習興趣的特性，去創造一個學習模型。去觀察小孩在學習成效上是否有提升，以及是否有被激起的學習動機，而後設計系統去驗證模型的有效性。整個系統分為課前課中課後，課中以智能機器人為課堂上教學輔助的角色，課前課後利用智能機器人串聯教育部智能雲端平台Fun學王，整合學習歷程，讓整套系統做到有效的正回饋。本篇設計一套模型，除了能有效提升學齡前幼童在第一語言的學習，並且能做後續學習狀況的追蹤，以達到學習生態循環的效果。

Robot interaction with humans have been strongly debated over the years. Finding new ways for a robot to help aid in educational learning has been in the development but hasn't been widely recognized yet. Robot-Assisted Learning is mostly used in the STEM (Science, Technology, engineering, Mathematics) field. Recently, the potential of robot teaching human speaking languages have been developed, and more researches are conducted to improve the process of learning. In the thesis, we dedicated in achieving three things: 1. Teaching kids Chinese Phonetics 2. Apply Zenbo which is used as a Robot-assisted learning aid to deliver digital learning content and enhance the effectiveness of learning. 3. Collect the learning data from the class and integrate them on cloud service. In order to accomplish the goals, a new learning model was created. A learning system was then designed to prove the effectiveness of the learning model. The whole system is composed of three parts: pre-class, in class and post-class. During class, the language-assisted robot is in use and then the data is collected after from the robot. Fun King, a smart cloud service, integrates and analyzes the data to achieve positive reinforcement in the learning system. A new learning model is proposed to help young learners learn Chinese phonetics and keep track of their progress to see their development progress.

[1] Oblinger, D. G. & Oblinger, J. L., “Educating the next generation”, Brockport Bookshelf272, 2005

[2] Pletka, B. “Educating the next generation.” Santa Monica, CA. Santa Monica Press LLC, 2007

[3] Prensky, M. “Digital immigrants, part 2: Do they really think differently? “On the Horizon, 9(6), 1-6, 2007

[4] Stewart, V. “Assessing 21st century skills and competencies around the world. Asia Society. Asia, Global Cities Education Network”, 2017

[5] Devlin, T. J., Feldhaus, D. R., & Bentrem, K. M. “The evolving classroom: A study of traditional and technology-based instruction in a STEM classroom.” Journal of Technology Education, 25(1), 34-54, 2013

[6] International Education Advisory Board,” Learning in the 21st century: Teaching today’s students on their terms”, 2008

[7] Irving, K. E. “The impact of technology on the 21st century classroom. Teaching Science in the 21st Century.” (pp. 3-19). Arlington, VA: NTSA press, 2006

[8] Hamilton, L. S., Soland, J., & Stecher, B. M. “Measuring 21st century competencies: Guidance for educators. Ran Corporation. Asia Society, Global Cities Education Network”, 2013

[9] lair, I. “Technology in education. Salem Press Encyclopedia. Hackensack” , N.J.: EBSCO Publishing, 2014

[10] Yang, S. C., & Chen, Y. J. “Technology-enhanced language learning: A case study.”, Computers in Human Behavior, 23, 860–879, 2007

[11] Jacqueline Kory and Cynthia Breazeal, “Storytelling with robots: Learning companions for preschool children’s language development”, The 23rd IEEE International Symposium on Robot and Human Interactive Communication, August 25-29, 2014

[12] T. Belpaeme, J. Kennedy, A. Ramachandran, B. Scassellati, and F. Tanaka, “Social robots for education: A review,” Science Robotics, vol. 3, no. 21, p. eaat5954, 2018.

[13] I. Leite, M. McCoy, M. Lohani, D. Ullman, N. Salomons, C. Stokes, S. Rivers, and B. Scassellati, “Emotional Storytelling in the Classroom: Individual versus Group Interaction between Children and Robots.” ACM Press, , pp. 75–82, 2015

[14] D. Leyzberg, S. Spaulding, M. Toneva, and B. Scassellati, “The physical presence of a robot tutor increases cognitive learning gains,” in Proc of the 34th Annual Conf of the Cognitive Science Society, 2012.

[15] G. Pezzulo, L. W. Barsalou, A. Cangelosi, M. H. Fischer, K. McRae, and M. Spivey, “Computational grounded cognition: a new alliance between grounded cognition and computational modeling,” Frontiers in psychology, vol. 3, p. 612, 2013

[16 ]Tony Belpaeme1,2·Paul Vogt3 ·Rianne vanden Berghe5·Kirsten Bergmann4·Tilbe Göksun6· Mirjam de Haas3·Junko Kanero6·James Kennedy1·Aylin C. Küntay6·Ora Oudgenoeg-Paz5· Fotios Papadopoulos1·Thorsten Schodde4·Josje Verhagen5·Christopher D. Wallbridge1·Bram Willemsen3· Jan de Wit3·Vasfiye Geçkin6·Laura Hoffmann4·Stefan Kopp4·Emiel Krahmer3·Ezgi Mamus6· Jean-Marc Montanier7·Cansu Oranç6·Amit Kumar Pandey7, “Guidelines for Designing Social Robots as Second Language Tutors”, International Journal of Social Robotics, 2018

[17] Project “L2TOR - Second language tutoring using social robots”， http://www.l2tor.eu/what-is-l2tor/

[18] Collins, M. F. “ELL preschoolers’ English vocabulary acquisition from storybook reading.” Early Childhood Research Quarterly, 25(1), 84-97, 2010

[19] Rianne van den Berghe, Social robots as second-language tutors for young children: Challenges and opportunities, 2019

[20] Chang, C.-W., Lee, J.-H., Chao, P.-Y., Wang, C.-Y., & Chen, G.-D. “Exploring the Possibility of Using Humanoid Robots as Instructional Tools for Teaching a Second Language in Primary School.” Educational Technology & Society, 13 (2), 13–24, 2010

[21] Rianne van den Berghe, Josje Verhagen, Ora Oudgenoeg-Paz, Sanne van der Ven, Paul Leseman, “Social Robots for Language Learning: A Review”, Sage journal, Volume: 89 issue: 2, page(s): 259-295, 2018

[22] Junko Kanero ,Vasfiye Geçkin, Cansu Oranç, Ezgi Mamus, Aylin C. Küntay, Tilbe Göksun, " Social Robots for Early Language Learning: Current Evidence and Future Directions ", SRCD, Child Development Perspectives, Volume 12, Issue 3, 2018

[23] Hoff E, “Interpreting the early language trajectories of children from low-SES and language minority homes: implications for closing achievement gaps.” Dev Psychol 49(1):4–14, 2013

[24] Fridin M, “Storytelling by a kindergarten social assistive robot: a tool for constructive learning in preschool education.”, Comput Educ 70:53–64, 2014

[25] Westlund JMK, Martinez M, ArchieM, DasM, Breazeal C, “A study to measure the effect of framing a robot as a social agent or as a machine on children’s social behavior.” In: The eleventh ACM/IEEE international conference on human robot interaction, IEEE Press, pp 459–460, 2016

[26] Baxter P, de Jong C, arts A, de Haas M, Vogt P, “The effect of age on engagement in preschoolers child – robot interactions.” In: Companion proceeding sof the 2017 ACM/IEEE international conference on HRI. 2017

[27] Moriguchi Y, Kanda T, Ishiguro H, Shimada Y, Itakura S, “Can young children learn words from a robot?”, Interact Stud 12(1):107–118, 2011

[28] Fumihide Tanaka, Shizuko Matsuzoe, “Children Teach a Care-Receiving Robot to Promote Their Learning: Field Experiments in a Classroom for Vocabulary Learning”, Journal of Human-Robot Interaction, 2012

[29] Paul Vogt∗, Rianne van den Berghe†, Mirjam de Haas∗, Laura Hoffman‡, Junko Kanero§, Ezgi Mamus§, Jean-Marc Montanier¶, Cansu Oranc¸§, Ora Oudgenoeg-Paz†, Daniel Hern´andez Garc´ıak, Fotios Papadopoulosk, Thorsten Schodde‡, Josje Verhagen†, Christopher D. Wallbridgek, Bram Willemsen∗, Jan de Wit∗, Tony Belpaemek∗∗, Tilbe G¨oksun§, Stefan Kopp‡, Emiel Krahmer∗, Aylin C. K¨untay§, Paul Leseman†, Amit Kumar Pandey¶“Second Language Tutoring using Social Robots: A Large-Scale Study”, Conference: IEEE/ACM International Conference on Human-Robot Interaction, 2019

[30] Marulis LM, Neuman SB, “The Effects of vocabulary intervention on young children’s word learning: a metanalysis.” Rev Educ Res 80(3):300–335, 2010

[31]http://tx.liberal.ntu.edu.tw/~PurpleWoo/Methodology/Analy-TxStatisticsCanon-ANCOVA.htm