探討真實情境之無所不在英語APP促進國小學童口說學習

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姓名

蘇筠琪(Yun-Chi Su) 查詢紙本館藏

畢業系所

網路學習科技研究所

論文名稱

探討真實情境之無所不在英語APP促進國小學童口說學習
(Investigation of Ubiquitous English APP to Facilitate Speaking of Elementary School Students in Authentic Contexts)

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至系統瀏覽論文 (2025-7-20以後開放)

摘要(中)

英語，已被廣泛認為是與其他國家交流的重要語言之一。亞洲各國開始重視英語教育的養成。然而，亞洲學生卻缺乏在真實情境中使用英語的機會，更遑論能夠從與他人的交流中獲得各種即時的回饋來練習英語口說。為此，我們開發了一個能夠打破時空藩離並能夠在行動裝置上使用的系統(UEnglish)，以促進學生在真實情境之中進行英語口說練習。UEnglish設計及開發了自動語音辨識、雲端翻譯服務、文字轉語音等先進的功能。根據自動語音辨識的結果，提供學生及時的分數反饋與修正，以激勵學生能夠進行更多的英語口語練習。此外，雲端翻譯英語以及將英語文字轉語音的功能讓英語練習變得更加簡單，也藉此鼓勵學生能夠透過探索真實情境的同時主動說更多的英語。透過UEnglish的輔助，本研究的主要目的為探討學生在真實情境中使用UEnglish學習英語口說時，其學習行為及對學習成效的影響。總共有兩班56名學生參與本次研究，其中包括28名使用UEnglish做為學習輔助的實驗組以及28名以傳統紙本教材教學方式進行英語學習的控制組。
根據研究結果顯示，在UEnglish的輔助之下，使用UEnglish的實驗組學生在英語口說學習成就無論質或量的表現，尤其是在描述漫畫圖片以及形容真實情境圖片題的部分，顯著優於以紙本當作學習材料的控制組學生。由此可見，藉由UEnglish的幫助，學生不僅可以使用更多的字彙以及更複雜的句子來表達他們的所見所聞，當遇到類似的真實情境時，更能夠將所學運用於其中。除此之外，透過訪談內容顯示，雲端翻譯、自動語音辨識以及即時反饋的功能皆能激發學生主動在真實情境之中進行英語口說的自我修正學習。因此，藉由生活情境的建構學習外語，能夠提供學習者在日常生活中簡單且有效的學習英語機會。

摘要(英)

English is widely regarded as one of the most important languages to be used. Asian countries pay much attention to English education; however, Asian students lack sufficient opportunities to speak English in authentic contexts. It is not easy for them to receive any instant feedback to improve their English speaking skills at school. Therefore, in this study, we proposed one mobile app called Ubiquitous English (UEnglish) to facilitate students’ English speaking learning anytime and anywhere in authentic contexts. UEnglish was designed and developed to employ advanced functions of automatic speech recognition, cloud machine translation, and text-to-speech engine. Based on the results of automatic speech recognition, instant scoring feedback, and correction were provided to motivate students to practice English speaking more. Furthermore, cloud machine translation to English and English text-to-speech engine can make English practices much easier, thereby motivating students to do more English speaking by exploring authentic contexts. With the support of UEnglish, the main purpose of this study is to investigate students’ learning behaviors and the influences on the learning achievement of English speaking in authentic contexts. A total of fifty-six fifth-grade students participated in this study, including twenty-eight students in the experimental group with the assistance of UEnglish in authentic contexts and other twenty-eight students in the control group with a traditional paper-based English teaching method.
The results indicated that the experimental group who spoke English with UEnglish in authentic contexts outperformed the control group who learned English speaking only with paper-based teaching materials. Especially, the experimental group had significant differences in their quality and quantity of English speaking in the dimensions of describing comic pictures and describing authentic pictures of the post-test. With the aid of UEnglish, students could not only use more words and complex sentences to express their thoughts in English but also easily apply what they learned when they encountered similar authentic contexts. Besides, from the interview conducted in open-ended questions, we found that the function of could translation service, speech recognition, and instant feedback motivated students to do self-regulated learning effectively in authentic contexts. Therefore, whenever learners do their English language acquisition in authentic contexts, our proposed system can provide opportunities for learners to practice English easily and effectively in their daily life.

關鍵字(中)

★ 英語口說
★ 真實情境行動學習
★ 語音辨識即時反饋
★ 口說正確性

關鍵字(英)

★ English speaking
★ mobile learning in authentic contexts
★ instant feedback by speech recognition
★ speaking accuracy

論文目次

Table of Contents
中文摘要.............................................III
Abstract............................................IV
致謝辭...............................................VI
List of Figures.....................................IX
List of Tables......................................X
Chapter 1 Introduction..............................1
1.1 Background and Motivation...................1
1.2 Purposes....................................3
Chapter 2 Literature review.........................5
2.1 EFL Learning with Mobile Devices............5
2.2 Authentic Contexts for Facilitating EFL Learning with Mobile Devices.................................6
2.3 Advanced Technology for EFL Speaking in Authentic Contexts............................................7
2.4 Self-regulated Learning of English Speaking in Authentic Contexts..................................10
2.5 Healthy Learning............................11
Chapter 3 System Design and Implementation..........13
3.1 System Design...............................13
3.2 UEnglish System.............................13
3.3 UEnglish System Architecture................15
Chapter 4 Research Method...........................21
4.1 Research Subjects...........................21
4.2 Research Structure and Research Variables...21
4.3 Research Flow and Procedure.................25
4.4 Research Tool...............................30
4.5 Data collection and processing..............32
Chapter 5 Data Analysis, Results and Discussion.....34
5.1 Comparisons of Pre-test and Post-test Between Two Groups..............................................34
5.2 Correlation Analysis Between Learning Behaviors and Post-test.......................................38
5.3 Multiple Regression Analysis of Learning Behavior to Predict Learning Achievement.....................46
5.4 Analysis of students’ Perception toward UEnglish ....................................................53
Chapter 6 Conclusion................................64
6.1 Conclusion and suggestion...................64
6.2 Future Works................................66
References..........................................67
Appendix............................................73

參考文獻

Abidin, M. J. Z., Pour-Mohammadi, M., & Alzwari, H. (2012). EFL students′ attitudes towards learning English language: The case of Libyan secondary school students. Asian social science, 8(2), 119.
Ahn, T. Y., & Lee, S. M. (2016). User experience of a mobile speaking application with automatic speech recognition for EFL learning. British Journal of Educational Technology, 47(4), 778-786.
Alhaisoni, E., & Alhaysony, M. (2017). An investigation of Saudi EFL university students’ attitudes towards the use of Google Translate. International Journal of English Language Education, 5(1), 72-82.
Brown, H. D. (2001). Teaching by Principles: An Interactive Approach to Language Pedagogy. (2nd edition). New York: Longman.
Brown, H. D., & Abeywickrama, P. (2010). Language assessment: Principles and classroom practices (Vol. 10). White Plains, NY: Pearson Education.
Bueno Alastuey, M. C. (2011). Perceived benefits and drawbacks of synchronous voice-based computer-mediated communication in the foreign language classroom. Computer Assisted Language Learning, 24(5), 419-432.
Chang, C.-C., Tseng, K.H., & Tseng, J.S. (2011). Is single or dual channel with different English proficiencies better for English listening comprehension, cognitive load and attitude in ubiquitous learning environment? Computers & Education, 57, 2313-2321.
Chen, M. R. A., & Hwang, G. J. (2020). Effects of experiencing authentic contexts on English speaking performances, anxiety and motivation of EFL students with different cognitive styles. Interactive Learning Environments, 1-21.
Chiu, T. L., Liou, H. C., & Yeh, Y. (2007). A study of web-based oral activities enhanced by automatic speech recognition for EFL college learning. Computer Assisted Language Learning, 20(3), 209-233.
Choi, Y. H., & Lee, H. W. (2008). Current trends and issues in English language education in Asia. Journal of Asia TEFL, 5(2).
Dörnyei, Z. (1994). Motivation and motivating in the foreign language classroom. The modern language journal, 78(3), 273-284.
Elaish, M. M., Shuib, L., Ghani, N. A., Yadegaridehkordi, E., & Alaa, M. (2017). Mobile learning for English language acquisition: taxonomy, challenges, and recommendations. IEEE Access, 5, 19033-19047.
Ferreira, P. C., Simão, A. V., & da Silva, A. L. (2017). How and with what accuracy do children report self-regulated learning in contemporary EFL instructional settings?. European Journal of Psychology of Education, 32(4), 589-615.
Golonka, E. M., Bowles, A. R., Frank, V. M., Richardson, D. L., & Freynik, S. (2014). Technologies for foreign language learning: a review of technology types and their effectiveness. Computer assisted language learning, 27(1), 70-105.
Hariyanti, U., & Hwang, W.-Y. (2020). Design and Implementation of Ubiquitious Fraction App for Fraction Learning in Authentic Context. Conference Nam The 6th International Conference on Education.
Helgesen, M. (2016). 13 Happiness in ESL/EFL: Bringing Positive Psychology to the Classroom. Positive psychology in SLA, 97, 305.
Ho, S. C., Hsieh, S. W., Sun, P. C., & Chen, C. M. (2017). To activate English learning: Listen and speak in real life context with an AR featured u-learning system. Journal of Educational Technology & Society, 20(2), 176-187.
Huang, C. S., Yang, S. J., Chiang, T. H., & Su, A. Y. (2016). Effects of situated mobile learning approach on learning motivation and performance of EFL students. Journal of Educational Technology & Society, 19(1), 263-276.
Hwang, G. J., & Fu, Q. K. (2019). Trends in the research design and application of mobile language learning: a review of 2007–2016 publications in selected SSCI journals. Interactive Learning Environments, 27(4), 567-581.
Hwang, W. Y., Chen, H. S., Shadiev, R., Huang, R. Y. M., & Chen, C. Y. (2014). Improving English as a foreign language writing in elementary schools using mobile devices in familiar situational contexts. Computer assisted language learning, 27(5), 359-378.
Hwang, W. Y., & Chen, H. S. (2013). Users’ familiar situational contexts facilitate the practice of EFL in elementary schools with mobile devices. Computer Assisted Language Learning, 26(2), 101-125.
Hwang, W. Y., Shadiev, R., & Huang, S. M. (2011). A study of a multimedia web annotation system and its effect on the EFL writing and speaking performance of junior high school students. ReCALL, 23(2), 160-180.
Kim, I. S. (2006). Automatic speech recognition: Reliability and pedagogical implications for teaching pronunciation. Educational Technology & Society, 9(1), 322-334.
Kukulska-Hulme, A. (2009). Will mobile learning change language learning?. ReCALL, 21(2), 157-165.
Lee, J. S. (2019). Quantity and diversity of informal digital learning of English. Language Learning & Technology, 23(1), 114–126.
Lee, S. M. (2020). The impact of using machine translation on EFL students’ writing. Computer Assisted Language Learning, 33(3), 157-175.
Mayer, R. (2010). Cognitive theory of multimedia learning. In R. Mayer (Ed.), The
Cambridge Handbook of Multimedia Learning (pp. 31-48). Cambridge: Cambridge
University Press.
Neri, A., Mich, O., Gerosa, M. & Giuliani, D. (2008). The effectiveness of computer assisted pronunciation training for foreign language learning by children. Computer-Assisted Language Learning, 21, 5, 393–408.
Nguyen, T. H., Hwang, W. Y., Pham, X. L., & Ma, Z. H. (2018). User-Oriented EFL Speaking through Application and Exercise: Instant Speech Translation and Shadowing in Authentic Context. Journal of Educational Technology & Society, 21(4), 129-142.
Nomura, K., & Yuan, R. (2018). Long-term motivations for L2 learning: A biographical study from a situated learning perspective. Journal of Multilingual and Multicultural Development, 40(2), 164–178.
Oberg, A., & Daniels, P. (2013). Analysis of the effect a student-centred mobile learning instructional method has on language acquisition. Computer assisted language learning, 26(2), 177-196.
Pinner, R. (2013). Authenticity of purpose: CLIL as a way to bring meaning and motivation into EFL contexts. Asian EFL Journal, 15(4), 138-159.
Pearson, C., & Hussain, Z. (2017). Smartphone use, addiction, narcissism, and personality: A mixed methods investigation. In Gaming and Technology Addiction: Breakthroughs in Research and Practice (pp. 212-229). IGI Global.
Rogers, C. R. & Freiberg, H. J. (1994). Freedom to Learn, 3rd edition, Columbus: Charles E. Merrill Publishing Co.
Schunk, D. H., & Zimmerman, B. J. (Eds.). (1998). Self-regulated learning: From teaching to self-reflective practice. Guilford Press.
Shadiev, R., Hwang, W. Y., & Huang, Y. M. (2017). Review of research on mobile language learning in authentic environments. Computer Assisted Language Learning, 30(3-4), 284-303.
Shadiev, R., Hwang, W. Y., & Liu, T. Y. (2018). A Study of the Use of Wearable Devices for Healthy and Enjoyable English as a Foreign Language Learning in Authentic Contexts. Journal of Educational Technology & Society, 21(4), 217-231.
Shadiev, R., Hwang, W. Y., Shadiev, N., Fayziev, M., Liu, T. Y., & Shen, L. (2018). Smart watches for making EFL learning effective, healthy, and happy. In Challenges and Solutions in Smart Learning (pp. 73-76). Springer, Singapore.
Shadiev, R., Liu, T., & Hwang, W. Y. (2020). Review of research on mobile‐assisted language learning in familiar, authentic environments. British Journal of Educational Technology, 51(3), 709-720.
Shadiev, R., & Yang, M. (2020). Review of Studies on Technology-Enhanced Language Learning and Teaching. Sustainability, 12(2), 524.
Sung, Y. T., Chang, K. E., & Liu, T. C. (2016). The effects of integrating mobile devices with teaching and learning on students′ learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252-275.
Valk, J. H., Rashid, A. T., & Elder, L. (2010). Using mobile phones to improve educational outcomes: An analysis of evidence from Asia. The International Review of Research in Open and Distributed Learning, 11(1), 117-140.
Van Laere, E., & van Braak, J. (2017). Auditory support in linguistically diverse classrooms: factors related to bilingual text‐to‐speech use. Journal of Computer Assisted Learning, 33(1), 79-95.
Viberg, O., & Grönlund, Å. (2012). Mobile assisted language learning: A literature review. In 11th World Conference on Mobile and Contextual Learning.
Wu, V., Yen, L. L., & Marek, M. (2011). Using online EFL interaction to increase confidence, motivation, and ability. Journal of Educational Technology & Society, 14(3), 118.
Zauche, L. H. Mahoney, A. E. D., Thul, T. A., Zauche, M. S., Weldon, A. B., & Stapel-Wax, J. L. (2017). The Power of language nutrition for children’s brain development, health, and future academic achievement. Journal of Pediatric Health Care, 31(4) 504-505.
Zimmerman, B. J., & Schunk, D. H. (Eds.). (2001). Self-regulated learning and academic achievement: Theoretical perspectives. Routledge.

指導教授

黃武元(Wu-Yuin Hwang)

審核日期

2020-7-20

推文