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研究生: 李瑄
Li, Hsuan
論文名稱: 華語教師「機器人輔助語言學習」培育之行動研究:以機器人輔助華語正音教學為例
An action research on robot-assisted language learning in Chinese as a second language teacher education: an example of robot-assisted Chinese pronunciation training
指導教授: 曾金金
Tseng, Chin-Chin
口試委員: 曾金金
Tseng, Chin-Chin
蕭惠貞
Hsiao, Hui-Chen S.
曾元顯
Tseng, Yuen-Hsien
李健興
Lee, Chang-Shing
葉惠菁
Yeh, Hui-Chin
口試日期: 2022/01/19
學位類別: 博士
Doctor
系所名稱: 華語文教學系
Department of Chinese as a Second Language
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 250
中文關鍵詞: 機器人輔助語言學習華語作為第二語言教學整合技術的學科教學知識設計中學習策略人機互動即時回饋
英文關鍵詞: Robot-assisted language learning, Chinese as a Second Language, Technological Pedagogical and Content Knowledge, Learning by design, Human-robot interaction, Real-time feedback
研究方法: 行動研究法
DOI URL: http://doi.org/10.6345/NTNU202200423
論文種類: 學術論文
相關次數: 點閱:231下載:39
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  • 本研究旨在探討華語文教學系研究所階段「機器人輔助語言學習」的培育課程,以整合技術的學科教學知識(Technological Pedagogical Content Knowledge, TPACK)為框架,將華語正音教學、機器人科技、程式設計等知識整合教學,讓(準)華語教師能有設計及實作機器人輔助語言學習(robot-assisted language learning, RALL)教學活動的能力。研究問題為:TPACK框架下培育課程知識內容、流程及策略為何?培育課程對(準)華語教師TPACK發展的影響為何?(準)華語教師對機器人用在語言學習上的感知為何?
    本研究採行動研究法,研究對象為華語教學系研究所14位(準)華語教師。研究結果顯示,培育課程可促進各種TPACK知識的發展,其中機器人的教學設計知識(TPK)最多,其次為機器人的華語語音技術原理知識(TCK)和機器人科技知識(TK),由於機器人的「擬人化」特性,讓(準)華語教師更關心人機互動、即時回饋的設計、機器人的「可對話」特性使用語音技術,則讓(準)華語教師重視機器人聽與說的材料選擇原理;設計中學習(Learning by Design, LBD)策略促進多元知識發展、二位不同專長的師傅教師共同授課可協助發展基礎知識、多次的學習者實測則可促進知識整合及反思;(準)華語教師認為機器人在語言教學上是有用的,但需要經過學習才能學會使用,多數表示未來願意使用。本研究也發現,(準)華語教師在RALL實作過程中,換位思考轉變成以學生為中心思考教學設計;最終能意識到機器人是一項教學工具,「教師」才是提供教學設計知識的人。論文最後提出「機器人輔助正音教學」系統開發流程及架構建議。

    This research aims to explore the teacher training course of "robot-assisted Chinese pronunciation training" at the graduated stage of the Department of Chinese Language as a Second Language (CSL). We integrated knowledge of Chinese pronunciation teaching, robotics, speech technology, and robot programming knowledge in the training course, so that CSL teachers could have the ability of design and implement robot-assisted language learning (RALL) courses by themselves. The research questions are (1) what are the knowledge, process and strategy of training course under the TPACK framework? (2) what is the impact of the training course on the development of CSL teachers’ TPACK? (3) what is the perception of CSL teachers on the use of RALL?
    The method of this study is the action research. The research subjects were 14 CSL teachers in the master degree program. The research results show that the development of various TPACK knowledge can be seen in the overall learning journals, among which human-robot interaction (HRI) and real-time feedback (RTF) related knowledge (TPK) are the most, followed by the knowledge of using Chinese speech technology to select appropriate materials (TCK), and almost the same amount as the knowledge of programming (TK). Learning by design (LBD) strategy could improve each kind of TPACK. After the course, more than 60% CSL teachers expressed their willingness to use RALL in the future, believing that robots are useful in language teaching but need to be learned. This study also found that CSL teachers, in the process of RALL implementation, changed their perspective into a student-centered and thinking the teaching design. Finally, CSL realized that the robot is a teaching tool, and the "teacher" is the one who provides the knowledge of teaching design. This paper also puts forward the development process and architecture suggestion of the "robot-assisted Chinese pronunciation teaching" system.

    謝誌 i 中文摘要 i Abstract ii 目次 iii 表次 v 圖次 vii 第一章 緒論 1 第一節 研究背景與研究動機 1 第二節 研究目的與研究問題 8 第三節 名詞釋義 10 第四節 研究範圍 12 第五節 研究重要性 14 第二章 文獻回顧與評述 17 第一節 機器人輔助語言學習 17 第二節 語言教師的機器人跨領域課程相關研究 32 第三節 整合科技能力的華語教師培育課程 36 第三章 研究方法 53 第一節 研究方法與研究流程 53 第二節 資料收集及分析步驟 59 第三節 研究對象 60 第四節 研究者背景與角色 64 第五節 研究信度與效度維持方法 77 第四章 TPACK為框架的機器人輔助華語正音教學培育課程設計 79 第一節 課程目標 79 第二節 課程實施對象與師資 80 第三節 機器人角色設定 81 第四節 以TPACK框架建構「機器人輔助華語正音 教學」培育課程之知識與內容發展 82 第五節 課程策略、流程及教學活動規劃 103 第五章 TPACK為框架的「機器人輔助華語正音 教學」培育課程之實施與結果 117 第一節 培育課程實施 117 第二節 華語教師學習及發展機器人輔助華語正音教學活動的歷程 119 第三節 培育課程(準)對華語教師TPACK發展的影響分析 128 第四節 培育課程設計評估與探討 143 第五節 (準)華語教師對機器人用在語言學習上的感知 173 第六章 討論與反思 197 第一節 研究問題討論與反思 197 第二節 研究發現與討論 206 第三節 機器人應用於華語正音教學設計指南 212 第七章 結論與建議 219 第一節 結論 219 第二節 研究限制與後續研究發展 220 第三節 人工智慧建設應用於華語文教學的未來展望 223 參考文獻 227 附錄 239 附錄一、TAM原始問卷(Davis, 1989) 239 附錄二、期末問卷 240 附錄三、訪談題目 243 附錄四、問卷、課件及編碼 245 附錄五、語音辨識背景知識 246

    AKA Corp.(2017年9月28日)。AKA LLC、同志社中学校に世界初となる「英語学習AIロボットMusio教室」を設置。取自https://prtimes.jp/main/html/rd/p/000000018.000017199.htmlhttps://ict-enews.net/2020/04/29aka-2/。
    Kim, S.-W. (2020). Application of Programming based TPACK Education Program to Increase TPACK of Pre-service Teachers. Journal of the Korea Society of Computer and Information, 25(7), 225–237. https://doi.org/10.9708/jksci.2020.25.07.225
    Kim, S.-W., & Lee, Y.-J. (2017). Development of TPACK-P Education Program for Improving Technological Pedagogical Content Knowledge of Pre-service Teachers. 한국컴퓨터정보학회논문지, 22(7), 141–152. https://doi.org/10.9708/JKSCI.2017.22.07.141
    ライフ(2018年10月17日)。先生は「AIロボ」英語学習、小中学校で導入広がる。 產經新聞。取自https://www.sankei.com/life/news/181017/lif1810170021-n2.html
    山田航也(2020年4月28日)。特別支援学級で英語学習AIロボット「Musio」の学習効果を検証 英語への印象や関心が向上 AKAが和光市立大和中学校で実施。取自:https://robotstart.info/2020/04/28/musio-special-support-class.html
    王郁晴(2020)。編程機器人應用於國小二年級任務導向英語課程之個案研究。臺北市:國立臺北教育大學碩士論文(未出版)。
    王湄雁(2015)。樂高機器人融入專題式導向學習於大學生程式設計課程之學習成效、態度與問題解決能力之研究。臺北市:國立臺灣科技大學碩士論文(未出版)。
    石兆芬(2007)。作為教室教學伙伴之可程式化機器人。桃園:國立中央大學碩士論文(未出版)。
    朱川(2013)。外國學生漢語語音學習對策(增訂版)。臺北市:新學林。
    朱元楷、梁至中、蔡孟蓉(2020)。中小學教師將機器人融入教學的態度、信念、動機及與機器人教學內容知識間的關係。數位學習科技期刊,12(2),75–97。https://doi.org/10.3966/2071260X2020041202004
    宋如瑜(2008)。反思性模擬教學-銜接理論與實踐的華語師資培育策略。中原華語文學報,2,179-203。
    李家豪(2018)。華語遠距師培課程與教學能力發展研究。臺北市:國立臺灣師範大學博士論文(未出版)。
    李健興、王美慧、黃宗祥、陳立中、楊勝期、久保田直行(2018年1月29日)。人工智慧應用新趨勢與展望—學生與機器人共同學習。臺北產經網站。取自https://www.taipeiecon.taipei/article_cont.aspx?MSid=1001302007727155764&MmmID=1201&CatID=653635047502442316
    李健興、黃宗祥、洪碧霞、曾建勳(2019)。智慧機器人與學生共學。科學發展,第555期,頁28-41。
    李琳山(2019年3月29日)。迎向人工智慧的燦爛陽光─由教機器聽人類語言說起。取自科學Online-高瞻自然科學教育平台:https://highscope.ch.ntu.edu.tw/wordpress/?p=81146
    林亭彣(2016)。機器人教師資格檢定機制發展之研究。臺北市:國立臺灣師範大學碩士論文(未出版)。
    林虹伶(2021)。A study of integrating TDO and TPACK framework into teacher training for online Chinese-as-second-language education。。第十三屆世界華語文教學國際學術研討會,2021.7.9-11,線上。
    林夏婷(2018)。支援課堂助理機器人之課程教學發展工具—以英語口語課程為例。臺中市:逢甲大學碩士論文(未出版)。
    林宸宇(2019)。EOTRTS:支援課後個別輔導之英語口語教育機器人系統之研究。臺中:逢甲大學碩士論文(未出版)。
    林宸宇、林志敏、沈薇薇(2019)。支援個別輔導的英語口語教育機器人系統之實作。第八屆工程、技術與科技教育學術研討會,臺北。doi:10.6571/SCETE.201905.0028
    林燾、王理嘉(2016)。語音學教程。臺北市:五南。
    邱貴發、徐子淵、孫林宏証、王瑋萱、高得凱、蔡懿亭、許章慧(2012)。職前科學教師數位遊戲輔助學習知能培訓模式。行政院科技部專題研究計畫報告(NSC 101-2511-S-003-018-MY2),未出版。
    侯修聖(2020)。導入Zenbo機器人之國小六年級生國語記敘文課程設計與實作。臺中:國立臺中教育大學碩士論文(未出版)。
    韋冠臣(2020)。支援適性化英語學習之教育機器人。臺中:逢甲大學碩士論文(未出版)。
    徐振峰(2019)。華語聲調特徵在二語教學中之描述及其應用。臺北市:國立臺灣師範大學博士論文(未出版)。
    徐麗真(2011)應用可支援互動式劇本機器人做為輔助教具對國小學童英語學習動機與學習成效影響之成就。臺中:亞洲大學碩士論文(未出版)。
    株式会社アルク、シャープ株式会社(2019年2月18日)。アルクの英会話教室でモバイル型ロボット「RoBoHoN」を採用。取自:https://corporate.jp.sharp/news/190218-a.html?fbclid=IwAR1fYJDMcK4wmPIfS9DtfhLJyY3LoWH-Cb5lhjlr2vMrIG0fC1-TiIlT9Zg
    高橋燁(2010)。針對日籍學習者之華語課堂教學媒介語研究。國立臺灣師範大學碩士論文(未出版)。
    張于忻(2016)。口語表達教學策略研究-以某工廠外籍移工為例。國教新知,6(1),49–59。
    張閎瑜(2018)。應用樂高機器人課程學習以提升學習專注力的研究。臺北市:中國文化大學碩士論文(未出版)。
    莊士漢(2011)。樂高機器人專題活動融入資訊教育課程之研究。臺北市:國立臺北教育大學碩士論文(未出版)。
    許佳興、莊士漢(2011)。樂高機器人活動融入師資培訓之資訊素養課程。國民教育,51(5),9–24,https://doi.org/10.6476/JNE.201106.0009
    許智華(2019)。華語線上同步學習之師資培訓研究。臺北市:國立臺灣師範大學碩士論文(未出版)。
    陳芳茹、連育仁(2021)。華語文數位教學能力培訓課程教什麼?科技內容教學知識架構研究。第十三屆世界華語文教學國際學術研討會,2021.7.9-11,線上。
    陳俊智(2007)。幼兒英語教學機械人系統設計之研究。高雄:國立高雄師範大學碩士論文(未出版)。
    陳展博(2019)。英語教學之服務型機器人。雲林:國立虎尾科技大學碩士論文(未出版)。
    陳振民(2013)。多功能英語教學機器人之研發與應用。雲林:國立虎尾科技大學碩士論文(未出版)
    陳凱泉、沙俊宏、何瑤、王曉芳(2017)。人工智慧2.0 重塑學習的技術路徑與實踐探索—兼論智慧教學系統的功能升級。遠程教育雜誌,2017年,第5期,頁40-53。
    傅氏梅、張維佳(2004)。越南留學生的漢語聲母偏誤分析。世界漢語教學,2004(2),69–80。
    曾元顯(2016年4月16日)。運算思維:一張圖看懂機器翻譯(人工智慧)的原理。取自http://web.ntnu.edu.tw/~samtseng/present/CT_STM.html
    游鎮嘉(2006)。應用史賓機器人於英語教室作為教師之教學伙伴。桃園:國立中央大學碩士論文(未出版)。
    舒兆民著、徐慧如編(2010)。華語文教學講義。臺北市:新學林。 http://www.airitibooks.com/Detail/Detail?PublicationID=P20111110008
    趙安婷(2018)。從TPACK觀點探討台灣華語文教學系所數位技能培養之現況。臺北市:中國文化大學碩士論文(未出版)。
    劉倩(2019)。整合技術的學科教學知識實踐之探討:語言教師的認知與科技運用研究。臺北市:國立政治大學博士論文(未出版)。
    蔡喬育(2016)。成人華語數位教材使用的優勢和限制:成人學習特性的觀點。語教新視野,5,41-56。
    鄭玉婕(2019)。在物聯網玩具與機器人的遊戲式英語學習情境中機器人作為引導角色之設計與成效評估。高雄:國立中山大學碩士論文(未出版)。
    鄭琇仁(2014). 線上華語師資培訓與科技教學學科知識養成之研究The study of CSL online teacher training course and the teachers’ development of Technological Pedagogical Content Knowledge. Journal of Technology and Chinese Language Teaching, 5(2), 1–18.
    鄭琇仁(2015)。 TPACK華語師資培訓成效之研究。高雄師大學報:人文與藝術類,38,95-122。
    謝佳玲、高俊江、羅婉亭(2010),華語跨文化遠距同步視訊教學之師資培訓研究。國立政治大學編,第四屆美國國際教育交流協會華語文教學研討會論文集,1-39。臺北市:國立政治大學。
    羅婉亭(2011)。跨文化視訊華語教學之師資培育研究。臺北市:國立臺灣師範大學碩士論文(未出版)。
    Aidinlou, N.A., Alemi, M., Farjami, F., & Makhdoumi, M. (2014). Applications of robot assisted language learning (RALL) in language learning and teaching. International Journal of Language and Linguistics, 2(3), 12-20. Doi:10.11648/j.ijll.s.2014020301.12
    Baser, D., Kopcha, T., & Ozden, M. (2015). Developing a technological pedagogical content knowledge (TPACK) assessment for preservice teachers learning to teach English as a foreign language. Computer Assisted Language Learning, 29, 1–16. https://doi.org/10.1080/09588221.2015.1047456
    Becker, B. A.(2017). Artificial Intelligence in Education: What is it, Where is it Now, Where is it Going? In: Ireland’s Yearbook of Education 2017-2018, pp. 42-46 (Themes), 2017. Education Matters.
    Bustamante, C. (2020). TPACK-based professional development on web 2.0 for Spanish teachers: a case study. Computer Assisted Language Learning, 33(4), 327-352. Doi: 10.1080/09588221.2018.1564333
    Chang, C.-W., Lee, J.-H., Chao, P.-Y., Wang, C.-Y., & Chen, G.-D. (2010). 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.
    Chang, Y.-C., Tseng, C.-C., Li, H. (2021). Exploring the Possibility of Using a Humanoid Robot as a Tutor in the Training of “Spoken Chinese And Expression”. The 4th Pedagogy and Practice in Technology Enhanced Language Learning Conference (PPTELL 2021), 2021.6.28-30. Online.
    Cheng, H.-J. (2016). A TL-TPACK model on CSL pre-service teachers’ competencies of online instruction. In Lin, C.-H., Zhang, D., & Zheng, B. (Eds.), Preparing foreign language teachers for next-generation education (pp. 198- 225). Hershey, PA: IGI Global. Doi:10.4018/978-1-5225-0483-2.ch011
    Chang, W., L.-Y., Kristianti, C., & Chen, S.-C.(2021). Facilitating Pre-service Chinese Teacher's Online Teaching with the Integration of TDO and TPACK Models. The 4th Pedagogy and Practice in Technology Enhanced Language Learning Conference (PPTELL 2021), 2021.6.28-30. Online.
    Cheng, Y.-W., Wang, Y., Yang, Y.-F., Yang, Z.-K., & Chen, N.-S. (2021). Designing an authoring system of robots and IoT-based toys for EFL teaching and learning. Computer Assisted Language Learning, 34(1–2), 6–34. https://doi.org/10.1080/09588221.2020.1799823
    Compton, L. K. L. (2009). Preparing language teachers to teach language online: A look at skills,roles, and responsibilities. Computer Assisted Language Learning, 22(1), 73-99. Doi:10.1080/09588220802613831
    Davis, Fred D., Bagozzi, Richard P. and Warshaw, Paul R. (1989) User acceptance of computer technology: a comparison of two theoretical models. Management Science. 35(8), 985.
    Ellis, R. (1994). The study of second language acquisition. New York: Oxford University Press.
    Engwall, O., Lopes J., & Åhlund, A.(2020). Robot Interaction Styles for Conversation Practice in Second Language Learning. International Journal of Social Robotics. doi: 10.1007/s12369-020-00635-y
    Fischer, K., Lohan, K.S., Foth, K. (2012). Levels of embodiment: linguistic analyses of factors influencing HRI. In: Proceedings of the 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2012), 463–470. doi: 10.1145/2157689.2157839
    Fridin, M., & Belokopytov, M. (2014). Acceptance of socially assistive humanoid robot by preschool and elementary school teachers. Computers in Human Behavior, 33, 23-31. doi:10.1016/j.chb.2013.12.016
    Fu, S.-X., Gu, H.-M., Yang, B.(2020). The affordances of AI-enabled automatic scoring applications on learners’ continuous learning intention: An empirical study in China. British Journal of Educational Technology, 51(5), pp.1674-1692, Doi: 10.1111/bjet.12995
    Gao, P., Chee, T. S., Wang, L., Wong, A., & Choy, D. (2011). Self reflection and preservice teachers’technological pedagogical knowledge: Promoting earlier adoption of student-centred pedagogies. Australasian Journal of Educational Technology, 27(6), 997-1013.
    Golonka, E. M., Bowles, A. R., Frank, V. M., Richardson, D. L., & Freynik, S. F.(2014). Technologies for foreign language learning: A review of technology types and their effectiveness. Computer Assisted Language Learning, 27, 70–105. doi: 10.1080/09588221.2012.700315
    Grosz, B. J., & Stone, P (2018). A Century Long Commitment to Assessing Artificial Intelligence and Its Impact on Society. Communications of the ACM, December 2018, Vol. 61 No. 12, pp. 68-73.
    Haines, K. J. (2015). Learning to identify and actualize affordances in a new tool. Language Learning & Technology, 19 (1), 165-180.
    Han, J. (2012). Emerging technologies, robot assisted language learning. Language Learning &Technology, 16(3), 1-9.
    Han, J., Jo, M.-H., Jones, V., & Jo, J.-H. (2008). Comparative study on the educational use of home robots for children. Journal of Information Processing Systems, 4,159–168. doi: 10.3745/JIPS.2008.4.4.159
    Han, S., and Bhattacharya, K. (2001). Constructionism, Learning by Design, and Project Based Learning. In M. Orey (Ed.), Emerging perspectives on learning, teaching, and technology. Retrieved July 9, 2009 from http://projects.coe.uga.edu/epltt/
    Harris, J., Mishra, P., & Koehler, M. (2009). Teachers’ technological pedagogical content knowledge and learning activity types: Curriculum-based technology integration reframed, Journal of Research on Technology in Education, 41(4), 393–416.
    Hattie, J. & Timperley, H.(2007). The Power of Feedback. Review of Educational Research, 77(1), pp. 81-112. Doi: 10.3102/003465430298487
    Ishida, M., Khalifa, A., Kato, T., & Yamamoto, S.(2016). Features of learner corpus collected with joining-in type robot assisted language learning system. In Proceedings of the Conference of the Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques, 128–131.
    Johnson, W. L., & Lester, J. C. (2016). Face-to-Face Interaction with Pedagogical Agents, Twenty Years Later. International Journal of Artificial Intelligence in Education, 26(1), 25–36. Doi: 10.1007/s40593-015-0065-9
    Kanda, T. , Hirano, T., Eaton, D. & Ishiguro, H. (2004). Interactive robots as social partners and peer tutors for children: A field trial. Human-Computer Interaction, 19, pp. 61-84. doi:10.1080/07370024.2004.9667340
    Kay, J. S., Moss, J. G., Engelman, S., & McKlin, T. (2014). Sneaking in through the back door: Introducing k-12 teachers to robot programming. Paper presented at the Proceedings of the 45th ACM technical symposium on Computer science education, Atlanta, GA.
    Kemmis, S. & Wilkinson, M.(1998). Participatory action research and the study of practice. In B. Atweh, S. Kemmis, & P. Weeks, (Eds.), Action research in Practice: Partnerships for social justice in education (pp.21-36). New York: Routledge.
    Kessler, G. (2018). Technology and the future of language teaching. Foreign Language Annals, 51(1), Spring 2018, 205-218.
    Khalifa, A., Kato, T., & Yamamoto, S. (2016). Joining-in-type Humanoid Robot Assisted Language Learning System. In Proceedings of the Tenth International Conference on Language Resources and Evaluation, 245–249.
    Khalifa, A., Kato, T., & Yamamoto, S. (2017). Measuring effect of repetitive queries and implicit learning with joining-in type robot assisted language learning system. In Proceedings of the 7th ISCA Workshop on Speech and Language Technology in Education, 13–17. doi: 10.21437/SLaTE.2017-3
    Kim, S.-W., & Lee, Y.-J. (2018). Development and application of the TPACK-P education program for pre-service teachers’ TPACK. International Journal of Engineering and Technology(UAE), 7, 654–662.
    Koehler, M. J., & Mishra, P. (2005a). Teachers learning technology by design. Journal of Computing in Teacher Education, 21(3), 94-102.
    Koehler, M. J., & Mishra, P. (2005b). What happens when teachers design educational technology? The development of technological pedagogical content knowledge. Journal of Educational Computing Research, 32(2), 131-152.
    Kolodner, J. L., Camp, P. J., Crismond, D., Fasse, B., Gray, J., Holbrook, J., Puntambekar, S., & Ryan, M. (2003). Problem-based learning meets case-based reasoning in the middle-school science classroom: Putting Learning by DesignTM into practice., Journal of the Learning Sciences, 12(4), 495-547.
    Kose, H., Akalin, N., & Uluer, P.(2014). Socially interactive robotic platforms as sign language tutors. International Journal of Humanoid Robotics, 11, 1, 1450003. doi: 10.1142/S0219843614500030
    Kwok (2015). Robot vs. Human Teacher: Instruction in the Digital Age for ESL Learners. English Language Teaching, 8(7), pp.157-163.
    Lan, Y. J., Chang, K. E., & Chen, N. S. (2012). CoCAR: An online synchronous training model for empowering ICT capacity of teachers of chinese as a foreign language. Australasian Journal of Educational Technology, 28(6), 1020-1038. Doi.org/10.14742/ajet.808
    Leite, I., Martinho, C., & Paiva, A.(2013). Social robots for long-term interaction: a survey. International Journal of Social Robot, 5(2), 291–308.
    Li, H. & Tseng, C.-C. (2021). The study of CSL teacher empowering training course of RALL and the teachers’ development of Technological Pedagogical Content Knowledge. The 4th Pedagogy and Practice in Technology Enhanced Language Learning Conference (PPTELL 2021), 2021.6.28-30. Online.
    Li, H., Yang, D., & Shiota, Y. (2021). Exploring the Possibility of Using a Humanoid Robot as a Tutor and Oral Test Proctor in Chinese as a Foreign Language. Wen, Y., Wu, Y.-j., Qi, G., Guo, S.-C., Spector, J. M., Chelliah, S., Kinshuk and Lan, Y.-J. (Eds). Expanding Global Horizons Through Technology Enhanced Language Learning. Singapore: Springer Nature Singapore Pte Ltd.
    Liu, Q., & Chao, C.-c. (2018). CALL from an ecological perspective: How a teacher perceives affordance and fosters learner agency in a technology-mediated language classroom. ReCALL, 30(1), 68-87.
    Lopes, J., Engwall, O., & Skantze, G. (2017). A first visit to the robot language café. In Proceedings of the 7th ISCA Workshop on Speech and Language Technology in Education, 7–12. doi: 10.21437/SLaTE.2017-2
    Lu, L., Johnson, L., Tolley, L. M., Gilliard-Cook, T. , & Lei, J. (2011). Learning by design: TPACK in action technology integration preparation for preservice teachers. In C.D. Maddux, D. Gibson, B. Dodge, M. J. Koehler, P. Mishra, & C. Owens Eds., Research highlights in technology and teacher education 2011, 47-54.
    Mishra, P., & Koehler, M. J. (2006). Technological Pedagogical Content Knowledge: A new framework for teacher knowledge. Teachers College Record 108 (6), 1017-1054.
    Mubin, O., Stevens, C., Shahid, S., Mahmud, A., & Dong, J. (2013). A review of the applicability of robots in education. Journal of Technology in Education and Learning, 1, 1-7. DOI:10.2316/JOURNAL.209.2013.1.209-0015
    Pope, M., Hare, D. & Howard, E. (2005). Enhancing technology use in student teaching: A case study. Journal of Technology and Teacher Education, 13(4), 573-618.
    Randall, N. (2019). A Survey of Robot-Assisted Language Learning (RALL). ACM Transactions on Human-Robot Interaction, 7. doi: 10.1145/3345506
    Roll, I. & Wylie, R.(2016). Evolution and Revolution in Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education, vol. 26, no. 2, pp. 582-599. doi: 10.1007/s40593-016-0110-3
    Rosenthal-von der Putten, A. M., Strasmann, C., & Kramer, N. C. (2016). Robots oragents—Neither helps you more or less during second language acquisition. Experimental study on the effects of embodiment and type of speech output on evaluation and alignment. In Proceedings of the International Conference on Intelligent Virtual Agents. New York, NY: Springer, 256–268. doi: 10.1007/978-3-319-47665-0_23
    Schodde, T., Bergmann, K., & Ko, S. (2017). Adaptive robot language tutoring based on Bayesian knowledge tracing and predictive decision-making. In Proceedings of the 12th ACM/IEEE International Conference on Human-Robot Interaction, New York, NY: ACM, 128–136.
    Shen, W.-W., Tsai, M. M.-H, Wei, G.-C., Lin, C.-Y., Lin, J.-M. (2019) ETAR: An English Teaching Assistant Robot and Its Effects on College Freshmen’s In-Class Learning Motivation. In Innovative Technologies and Learning. Lecture Notes in Computer Science, 11937. Springer, Cham, 77-86. doi: 10.1007/978-3-030-35343-8_9
    Shin, W. S. (2020). An Analysis of Teachers’ TPACK on Robotics in Education. Journal of the Korea Academia-Industrial cooperation Society, 21(6), 196–203. https://doi.org/10.5762/KAIS.2020.21.6.196
    Shoham, Y., Perrault, R., Brynjolfsson, E., Clark, J., Manyika, J., Niebles, J.C., Lyons, T., Etchemendy, J., Grosz, B., & Bauer, Z. (2018). The AI Index 2018 Annual Report. AI Index Committee of the One Hundred Year Study on Artificial Intelligence (AI100). Stanford University, Stanford, CA,. Retrieved from https://aiindex.org/.
    Stanford University (2016). One Hundred Year Study on Artificial Intelligence (AI100). USA: Stanford University, Retrieved from https://ai100.stanford.edu.
    Starkey, L., & Yates, A. (2020). How do student teachers learn professional digital competence?
    Stone, P., Brooks, R., Brynjolfsson, E., Calo, R., Etzioni, O., Hager, G., Hirschberg, J., Kalyanakrishnan, S., Kamar, E., Kraus, S., Leyton-Brown, K., Parkes, D., Press, W., Saxenian, A., Shah, J., Tambe, M., & Teller, A.(2016). Artificial Intelligence and Life in 2030. One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel, Stanford University, Stanford, CA, 2016.
    Syamdianita, S., & Cahyono, B. Y. (2021). The EFL pre-service teachers’ experiences and challenges in designing teaching materials using TPACK framework. Studies in English Language and Education, 8(2), 561–577. https://doi.org/10.24815/siele.v8i2.19202
    Tafazoli, D. & Picard, M. (2020). Guest Editorial: Technology in Language Education. Quarterly of Iranian Distance Education Journal(IDEJ), 2(2), i-ii. DOI: 10.30473/IDEJ.2020.6885
    Timms, M. J. (2016). Letting Artificial Intelligence in Education out of the Box: Educational Cobots and Smart Classrooms. International Journal of Artificial Intelligence in Education, 26(2), 701-712.
    TOKYO (Reuters) (2009, May 12). Robot takes over Tokyo classroom. Reuters. Retrieved from https://www.reuters.com/article/us-japan-robot-teacher-life/robot-takes-over-tokyo-classroom-idUSTRE54A69K20090511.
    Topete, B. D. (2020). 21st CENTURY SKILLS: Integrating Digital Competence In The Spanish EFL Primary Education Curriculum. 71.
    Tseng, J.-J., Chai, C. S., Tan, L., & Park, M. (2020). A critical review of research on technological pedagogical and content knowledge (TPACK) in language teaching. Computer Assisted Language Learning, 0(0), 1–24. https://doi.org/10.1080/09588221.2020.1868531
    Tuna, A.& Tuna, G.(2019). The Use of Humanoid Robots with Multilingual Interaction Skills in Teaching a Foreign Language: Opportunities, Research Challenges and Future Research Directions. Center for Educational Policy Studies Journal, 9(3):95, Doi:10.26529/cepsj.679
    van den Berghe, R., Verhagen, J., Oudgenoeg-Paz, O., van der Ven, S., & Leseman, P. (2018). Social Robots for Language Learning: A Review. Review of Educational Research. 89(2), 259–295. doi: 10.3102/0034654318821286
    Wang, N., & Johnson, W. L. (2016). Pilot Study with RALL-E: Robot-Assisted Language Learning in Education. A. Micarelli, J. Stamper, & K. Panourgia (Eds.), Intelligent Tutoring Systems: 13th International Conference, ITS 2016, Zagreb, Croatia, June 7-10, 2016. Proceedings, 514-516.
    Wedenborn, A. (2015). A Physical Robot’s Effect on Vocabulary Learning (Master‘s thesis, KTH Royal Institute of Technology, Stockholm). Retrieved from http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A886159&dswid=2890.
    Weller, C. (2017, Jan, 4). The largest internet company in 2030? This prediction will probably surprise you. World Economic Forum. Retrieved from http://wef.ch/2l2f6EN.
    Yin, R. (2018). Case study research and applications: Design and methods (6th ed.). Los Angeles, CA: SAGE.

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