Xuan Lam Pham
ABSTRACT
The application of automatic conversational system (chatbot) in learning foreign language is still limited. In this study, we built a chatbot dedicated to English learners. The system is named English Practice is installed on the mobile devices to interact with users through a window chat. Chatbot is able to automatically remind learners to study and suggest some answers to multiple choice questions. It also has the ability to help users in learning vocabulary and new lessons. The result shows that most of the basic functions of the system are used by the users and this this promises to be applied widely in the future.
- J. Weizenbaum, "ELIZA-a computer program for the study of natural language communication between man and machine," Communications of the ACM, vol. 9, no. 1, pp. 36--45, 1966. Google Scholar
Digital Library
- J. Weizenbaum, "Contextual understanding by computers," Communications of the ACM, vol. 10, no. 8, pp. 474--480, 1967. Google ScholarDigital Library
- S. Abbasi, and H. Kazi, "Measuring effectiveness of learning chatbot systems on Student's learning outcome and memory retention," Asian Journal of Applied Science and Engineering, vol. 3, no. 2, pp. 251--260, 2014.Google Scholar
- L. Benotti, M. C. Martínez, and F. Schapachnik, "Engaging high school students using chatbots." pp. 63--68. Google ScholarDigital Library
- N. Thomas, "An e-business chatbot using AIML and LSA." pp. 2740--2742.Google Scholar
- A. Shaw, "Using chatbots to easily create interactive and intelligent faq webpages," Journal of Applied Global Research, vol. 5, no. 15, 2012.Google Scholar
- D. Dutta, Developing an Intelligent Chat-bot Tool to assist high school students for learning general knowledge subjects, Georgia Institute of Technology, 2017.Google Scholar
- J. Jia, "The study of the application of a web-based chatbot system on the teaching of foreign languages." pp. 1201--1207.Google Scholar
- J. Hill, W. R. Ford, and I. G. Farreras, "Real conversations with artificial intelligence: A comparison between human-human online conversations and human-chatbot conversations," Computers in Human Behavior, vol. 49, pp. 245--250, 2015. Google ScholarDigital Library
- S. A. Abdul-Kader, and J. Woods, "Survey on chatbot design techniques in speech conversation systems," International Journal of Advanced Computer Science and Applications, vol. 6, no. 7, pp. 72--80, 2015.Google Scholar
- M. Yan, P. Castro, P. Cheng, and V. Ishakian, "Building a chatbot with serverless computing." p. 5.Google Scholar
- J. M. Zydney, and Z. Warner, "Mobile Apps for Science Learning: Review of Research," Computers & Education, vol. 94, pp. 1--17, 2015. Google ScholarDigital Library
- M. Ally, and A. Tsinakos, "Increasing access through mobile learning," Commonwealth of Learning, Vancouver, 2014.Google ScholarCross Ref
- C.-W. Tsai, P.-D. Shen, M.-C. Tsai, and W.-Y. Chen, "Exploring the effects of web-mediated computational thinking on developing students' computing skills in a ubiquitous learning environment," Interactive Learning Environments, pp. 1--16, 2016.Google Scholar
- S. Adams Becker, M. Cummins, A. Davis, A. Freeman, C. Hall Giesinger, and V. Ananthanarayanan, "NMC horizon report: 2017 higher education edition," Austin, Texas: The New Media Consortium, 2017.Google Scholar
- C. Shuler, "iLearn: A Content Analysis of the iTunes App Store's Education Section."Google Scholar
- M. Cohen, M. Hadley, and M. Frank, "Young children, apps & iPad," U.S. Department of Education Ready to Learn Program, vol. 200, pp. 5--10, 2011.Google Scholar
- R. Godwin-Jones, "Emerging technologies: Mobile apps for language learning," Language Learning & Technology, vol. 15, no. 2, pp. 2--11, 2011.Google Scholar
- M. Riconscente, "Mobile learning game improves 5th graders' fractions knowledge and attitudes," Los Angeles: GameDesk Institute, 2011.Google Scholar
- K. Goodwin, and K. Highfield, "iTouch and iLearn: An examination of "educational" apps." pp. 14--16.Google Scholar
- E. O'Hare, and C. by Cinekid, Mobile Apps for Children, Criteria and Categorization, Cinekid, 2014.Google Scholar
- T. M. Miangah, and A. Nezarat, "Mobile-assisted language learning," International Journal of Distributed and Parallel Systems, vol. 3, no. 1, pp. 309, 2012.Google ScholarCross Ref
- A. Kukulska-Hulme, "Mobile-Assisted Language Learning," The encyclopedia of applied linguistics, 2013.Google Scholar
- L. Fryer, and R. Carpenter, "Bots as language learning tools," Language Learning & Technology, 2006.Google Scholar
- Hubert. "6 Ways Artificial Intelligence and Chatbots Are Changing Education," https://chatbotsmagazine.com/six-ways-a-i-and-chatbots-are-changing-education-c22e2d319bbf.Google Scholar
- P. Bii, "Chatbot technology: A possible means of unlocking student potential to learn how to learn," Educational Research, vol. 4, no. 2, pp. 218--221, 2013.Google Scholar
- M. Mazur, R. Rzepka, and K. Araki, "Proposal for a conversational English tutoring system that encourages user engagement." pp. 10--12.Google Scholar
- Y. Goda, M. Yamada, H. Matsukawa, K. Hata, and S. Yasunami, "Conversation with a chatbot before an online EFL group discussion and the effects on critical thinking," The Journal of Information and Systems in Education, vol. 13, no. 1, pp. 1--7, 2014.Google ScholarCross Ref
- M. Stigler, "Google Cloud," Beginning Serverless Computing, pp. 129--173: Springer, 2018.Google ScholarCross Ref
- Dialogflow. "Documents of DialogFlow," 2017; https://dialogflow.com/docs.Google Scholar
- X. L. Pham, and G. D. Chen, "PACARD: A Personalized adaptive card-based interface that enable learners to access and recall learning element efficiently." pp. 245--255, Inpress.Google Scholar
- P. Wozniak, and E. J. Gorzelanczyk, "Optimization of repetition spacing in the practice of learning," Acta neurobiologiae experimentalis, vol. 54, pp. 59--59, 1994.Google Scholar
- X.-L. Pham, G.-D. Chen, T.-H. Nguyen, and W.-Y. Hwang, "Card-based design combined with spaced repetition: A new interface for displaying learning elements and improving active recall," Computers & Education, vol. 98, pp. 142--156, 2016. Google ScholarDigital Library
- D. Albert. "Pushing Push - Have Notifications Come of Age?," June 12, 2016; https://www.sitepoint.com/pushing-push-notifications-come-age/.Google Scholar
- J. Hamari, "Do badges increase user activity? A field experiment on the effects of gamification," Computers in Human Behavior, 2015. Google ScholarDigital Library
- X. L. Pham, G. D. Chen, T. H. Nguyen, and W. Y. Hwang, "Effects of push notifications on learner engagement in a mobile learning app," in IEEE International Conference on Advanced Learning Technologies (ICALT 2016), Austin, TX, USA, 2016.Google Scholar
- S. Ruan, J. O. Wobbrock, K. Liou, A. Ng, and J. Landay, "Speech is 3x faster than typing for english and mandarin text entry on mobile devices," arXiv preprint arXiv:1608.07323, 2016.Google Scholar
- N. Henze, and S. Boll, "Push the study to the app store: Evaluating off-screen visualizations for maps in the android market." pp. 373--374. Google ScholarDigital Library
- N. Henze, M. Pielot, B. Poppinga, T. Schinke, and S. Boll, "My app is an experiment: Experience from user studies in mobile app stores," International Journal of Mobile Human Computer Interaction (IJMHCI), vol. 3, no. 4, pp. 71--91, 2011. Google ScholarDigital Library
- X. L. Pham, T. H. Nguyen, and G. D. Chen, "Research Through the App Store: Understanding Participant Behavior on a Mobile English Learning App," Journal of Educational Computing Research, pp. 0735633117727599, 2017.Google Scholar
- M. Böhmer, and A. Krüger, "A case study of research through the app store: leveraging the system UI as a playing field for improving the design of smartphone launchers," International Journal of Mobile Human Computer Interaction (IJMHCI), vol. 6, no. 2, pp. 32--45, 2014. Google ScholarDigital Library
- D. Ferreira, V. Kostakos, and A. K. Dey, "Lessons learned from large-scale user studies: Using android market as a source of data," International Journal of Mobile Human Computer Interaction (IJMHCI), vol. 4, no. 3, pp. 28--43, 2012. Google ScholarDigital Library
Index Terms
- Chatbot as an Intelligent Personal Assistant for Mobile Language Learning
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