簡易檢索 / 詳目顯示

研究生: 張博雅
Po-Ya Chang
論文名稱: 結合自律學習策略之聊天機器人學習模式對於電學學習成效之影響
The impact of chatbot-based combined with self-regulated learning strategies on students' electrical ability
指導教授: 黃國禎
Gwo-Jen Hwang
口試委員: 朱蕙君
Hui-Chun Chu
曾厚強
Hou-Chiang Tseng
學位類別: 碩士
Master
系所名稱: 人文社會學院 - 數位學習與教育研究所
Graduate Institute of Digital Learning and Education
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 69
中文關鍵詞: 自律學習聊天機器人學習模式電子學
外文關鍵詞: self-regulated, chatbot-based, learning electronics
相關次數: 點閱:392下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 聊天機器人具有即時互動及提供個人化回饋的特性,因此在近年來被視為具有潛力的學習工具。然而,聊天機器人通常是扮演被動的輔導學習角色,若學生缺乏主動,或是自我管理的能力不足,聊天機器人在學習方面能夠提供的幫助可能有限。在眾多的學習策略中,自律學習是一種有系統引導學生透過設定目標與策略、監控學習過程、進行反思及調整學習目標及策略的有效模式。因此,本研究嘗試開發結合自律學習模式的聊天機器人,來改善聊天機器人的應用成效。為了驗證這個方法的效果,本研究規劃了一個準實驗設計研究,應用於高職資訊科的電子學實習課程中。實驗對象為35名高職一年級電子資訊專業的學生,實驗組(18人)採用「結合自律學習策略之聊天機器人學習模式」,控制組(17人)則採用「一般聊天機器人學習模式」。本研究採用「結合自律學習策略之聊天機器人學習模式」的學生,在學習成就的認知面向、學習動機、問題解決傾向及反思能力上均優於使用「一般聊天機器人學習模式」的學生。


    Chatbots have been considered a promising learning tool in recent years because of their real-time interaction and personalized feedback. However, chatbots often play a passive role in guiding learning, and if students lack initiative or self-management skills, chatbots may provide limits in learning. Among the many learning strategies, self-regulated learning is an effective model that systematically guides students to set goals and strategies, monitors the learning process, reflects, and adjusts learning goals and strategies. Therefore, this study attempts to develop a chatbot that incorporates a self-regulated learning model to improve the effectiveness of chatbot applications. This study planned a quasi-experimental design to test the performance of this approach in an internship course in electronics for higher education information technology. The experimental group (18 students) used the chatbot learning model incorporating self-regulated learning strategies, while the control group (17 students) used the general chatbot learning model. It is expected that the students who used the chatbot learning mode with self-regulated learning strategies had better academic achievement, motivation, problem-solving tendency, and reflective ability than the students who used the general chatbot learning mode.

    目錄 摘要 I ABSTRACT II 誌謝 III 目錄 IV 圖目錄 VII 表目錄 VIII 第一章 緒論 1 1.1 研究背景與動機 1 1.2 研究目的與問題 4 第二章 文獻探討 5 2.1 電子學(Eletronics) 5 2.1.1 電子學的定義 5 2.1.2 應用於電子學之相關研究 6 2.2 聊天機器人學習模式(Chatbot) 7 2.2.1 聊天機器人的定義 7 2.2.2 聊天機器人的相關研究 8 2.3 自律學習策略(Self-regulation Learning, SRL) 10 2.3.1 自律學習策略的定義 10 2.3.2 自律學習策略之相關應用 11 第三章 結合自律學習策略之聊天機器人系統開發 13 3.1 系統架構及功能 13 3.2 系統介面和功能介紹 15 第四章 實驗設計 25 4.1 研究架構 25 4.2 研究對象與課程內容 27 4.3 實驗流程 27 4.4 研究工具 28 4.4.1 學習成就測驗卷 28 4.4.2 學習動機問卷 29 4.4.3 問題解決傾向問卷 29 4.4.4 反思能力問卷 29 第五章 實驗結果 31 5.1 學習成就 31 5.2 學習動機 33 5.3 問題解決傾向 34 5.4 反思能力 36 第六章 討論與未來展望 38 6.1 學習成就 38 6.2 學習動機 39 6.3 問題解決傾向 40 6.4 反思能力 40 6.5 討論與未來發展 41 第七章 參考文獻 42 附錄 59 附錄一 學習成就前測 59 附錄二 學習成就後測 62 附錄三 學習動機前問卷 64 附錄四 學習動機後問卷 65 附錄五 問題解決傾向前問卷 66 附錄六 問題解決傾向後問卷 67 附錄七 反思能力前問卷 68 附錄八 反思能力後問卷 69

    AbuShawar, B., & Atwell, E. (2015). ALICE chatbot: Trials and outputs. Computación y Sistemas, 19(4), 625-632. https://doi.org/10.13053/CyS-19-4-2326
    Akaslan, D., & Law, E. L. (2011, April). Measuring teachers' readiness for e-learning in higher education institutions associated with the subject of electricity in Turkey. In 2011 IEEE Global Engineering Education Conference (EDUCON) (pp. 481-490). IEEE. https://doi.org/10.1109/EDUCON.2011.5773180
    Al-Ghadhban, D., & Al-Twairesh, N. (2020). Nabiha: An Arabic dialect chatbot. International Journal of Advanced Computer Science Applications, 11(3), 452-459.
    Ansari, J. A. N., & Khan, N. A. (2020). Exploring the role of social media in collaborative learning the new domain of learning. Smart Learning Environments,7(1), 1-16.
    Azevedo, R., & Cromley, J. G. (2004). Does training on self-regulated learning facilitate students' learning with hypermedia?. Journal of educational psychology, 96(3), 523. https://doi.org/10.1037/0022-0663.96.3.523
    Bailey, D., Southam, A., & Costley, J. (2021). Digital storytelling with chatbots: Mapping L2 participation and perception patterns. Interactive Technology and Smart Education, 18(19), 85-103. https://doi.org/10.1108/ITSE-08-2020-0170
    Balta, N., & Awedh, M. H. (2017). The Effect of Student Collaboration in Solving Physics Problems Using an Online Interactive Response System. European Journal of Educational Research, 6(3), 385-394. https://doi.org/10.12973/eu-jer.6.3.385
    Barak, M. (2012). From ‘doing’to ‘doing with learning’: Reflection on an effort to promote self-regulated learning in technological projects in high school. European Journal of Engineering Education, 37(1), 105-116. https://doi.org/10.1080/03043797.2012.658759
    Bartulovic, D., Young, B. W., & Baker, J. (2017). Self-regulated learning predicts skill group differences in developing athletes. Psychology of sport and Exercise, 31, 61-69. https://doi.org/10.1016/j.psychsport.2017.04.006
    Bauer, P., Dudak, J., Maga, D., & Hajek, V. (2007). Distance practical education for power electronics. International journal of engineering education, 23,(6), 1210-1218
    Bauer, P., & Fedák, V. (2010). Teaching electrical drives and power electronics: Elearning and beyond. Automatika, 51(2), 166-173.
    Belcher, J. W., & Olbert, S. (2003). Field line motion in classical electromagnetism. American Journal of Physics, 71(3), 220-228. https://doi.org/10.1119/1.1531577
    Bii, P. (2013). Chatbot technology: A possible means of unlocking student potential to learn how to learn. Educational Research, 4(2), 218-221.
    Bii, P., Too, J., & Langat, R. (2013). An investigation of student’s attitude towards use of chatbot technology in instruction: The case of Knowie in a selected high school. Education Research, 4(10), 710-716. http:/dx.doi.org/10.14303/er.2013.231
    Castillo Valdivieso, P. A., & Aguilar Luzon, M. C. (2021). The use of chatbot as an element of tutorial action in university teaching. ReiDoCrea, 10(24), 1-14.
    Çepni, S., & Keleş, E. (2006). Turkish students' conceptions about the simple electric circuits. International Journal of Science and Mathematics Education, 4(2), 269-291. https://doi.org/10.1007/s10763-005-9001-z
    Chang, C. Y., Hwang, G. J., & Gau, M. L. (2021). Promoting students' learning achievement and self‐efficacy: A mobile chatbot approach for nursing training. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13158
    Chang, S. C., & Hwang, G. J. (2018). Impacts of an augmented reality-based flipped learning guiding approach on students’ scientific project performance and perceptions. Computers & Education, 125, 226-239.
    Cho, K.K., Marjadi, B., Langendyk, V., & Hu, W. (2017). The self-regulated learning of medical students in the clinical environment - a scoping review. BMC Medical Education, 17, 112. https://doi.org/10.1186/s12909-017-0956-6
    Chocarro, R., Cortiñas, M., & Marcos-Matás, G. (2021). Teachers’ attitudes towards chatbots in education: a technology acceptance model approach considering the effect of social language, bot proactiveness, and users’ characteristics. Educational Studies, 1-19. https://doi.org/10.1080/03055698.2020.1850426
    Clarizia, F., Colace, F., Lombardi, M., Pascale, F., & Santaniello, D. (2018, October). Chatbot: An education support system for student. In International Symposium on Cyberspace Safety and Security (pp. 291-302). Springer, Cham.
    Consonni, D., & Seabra, A. C. (2001). A modern approach to teaching basic experimental electricity and electronics. IEEE Transactions on Education, 44(1), 5-15.  https://doi.org/10.1109/13.912704
    Crolic, C., Thomaz, F., Hadi, R., & Stephen, A. T. (2021). Blame the Bot: Anthropomorphism and Anger in Customer–Chatbot Interactions. Journal of Marketing, 86(1), 132-148. https://doi.org/10.1177/00222429211045687
    Chularut, P., & DeBacker, T. K. (2004). The influence of concept mapping on achievement, self-regulation, and self-efficacy in students of English as a second language. Contemporary Educational Psychology, 29(3), 248-263.
    Fadhil, A. (2018). A conversational Interface to improve medication adherence: Towards AI support in Patient's treatment. arXiv preprint arXiv:1803.09844. https://doi.org/10.48550/arXiv.1803.09844
    Fan, S. C., & Yu, K. C. (2017). How an integrative STEM curriculum can benefit students in engineering design practices. International Journal of Technology and Design Education, 27(1), 107-129. https://doi.org/10.1007/s10798-015-9328-x
    Fang, J. W., He, L. Y., Hwang, G. J., Zhu, X. W., Bian, C. N., & Fu, Q K. (2022). A concept mapping-based self-regulated learning approach to promoting students’ learning achievement and self-regulation in STEM activities. Interactive Learning Environments, 1-23. https://doi.org/10.1080/10494820.2022.2061013
    Fidan, M., & Gencel, N. (2022). Supporting the Instructional Videos With Chatbot and Peer Feedback Mechanisms in Online Learning: The Effects on Learning Performance and Intrinsic Motivation. Journal of Educational Computing Research, 07356331221077901.
    Finkelstein, N. (2005). Learning physics in context: A study of student learning about electricity and magnetism. International Journal of Science Education, 27(10), 1187-1209. https://doi.org/10.1080/09500690500069491
    Fryer, L., & Carpenter, R. (2006). Bots as language learning tools. Language Learning & Technology, 10(3), 8-14.
    Fryer, L. K., Ainley, M., Thompson, A., Gibson, A., & Sherlock, Z. (2017). Stimulating and sustaining interest in a language course: An experimental comparison of Chatbot and Human task partners. Computers in Human Behavior, 75, 461-468. https://doi.org/10.1016/j.chb.2017.05.045
    Fryer, L. K., Nakao, K., & Thompson, A. (2019). Chatbot learning partners: Connecting learning experiences, interest and competence. Computers in Human Behavior, 93, 279-289. https://doi.org/10.1016/j.chb.2018.12.023
    Garcia-Carmona, A., & Criado, A. M. (2011). Semiconductor Physics in basic Electronics teaching: First steps of a didactic transposition process. ENSENANZA DE LAS CIENCIAS, 29(1), 89-100.
    Garcia-Mendez, S., De Arriba-Perez, F., Gonzalez-Castano, F. J., Regueiro-Janeiro, J. A., & Gil-Castineira, F. (2021). Entertainment Chatbot for the Digital Inclusion of Elderly People Without Abstraction Capabilities. IEEE Access, 9, 75878-75891. https://doi.org/10.1109/ACCESS.2021.3080837
    Gibson, R., Aresty, A., & Moo, I. (2021, June). Apples and Oranges: Comparing Crafty Sonic Circuits for Electronics Education. Interaction Design and Children, 483-487. https://doi.org/10.1145/3459990.3465206
    Graf, R. F. (1999). Modern dictionary of electronics. Newnes.
    Hari, H., Iyer, R., & Sampat, B. (2021). Customer Brand Engagement through Chatbots on Bank Websites–Examining the Antecedents and Consequences. International Journal of Human–Computer Interaction, 1-16. https://doi.org/ 10.1080/10447318.2021.1988487
    Hernández-Sellés, N., Muñoz-Carril, P. C., & González-Sanmamed, M. (2019). Computer-supported collaborative learning: An analysis of the relationship between interaction, emotional support and online collaborative tools. Computers & Education, 138, 1-12.
    Hsiao, K. L., & Chen, C. C. (2021). What drives continuance intention to use a food-ordering chatbot? An examination of trust and satisfaction. Library Hi Tech. https://doi.org/10.1108/LHT-08-2021-0274
    Hsu, M. H., Chen, P. S., & Yu, C. S. (2021). Proposing a task-oriented chatbot system for EFL learners speaking practice. Interactive Learning Environments, 1-12. https://doi.org/10.1080/10494820.2021.1960864
    Huang, W., Hew, K. F., & Fryer, L. K. (2021). Chatbots for language learning—Are they really useful? A systematic review of chatbot‐supported language learning. Journal of Computer Assisted Learning. https://doi-org.ezproxy.lib.ntust.edu.tw/10.1111/jcal.12610
    Hwang, G. J., & Chang, C. Y. (2021). A review of opportunities and challenges of chatbots in education. Interactive Learning Environments, 1-14.
    Kaur, A., Singh, S., Chandan, J. S., Robbins, T., & Patel, V. (2021). Qualitative exploration of digital chatbot use in medical education: A pilot study. Digital Health, 7, 20552076211038151. https://doi.org/10.1177/20552076211038151
    Kawakami, T., Umetani, K., & Morimoto, S. (2021, October). Cooperation between Theoretical and Practical Education through Power Electronics Circuits. In IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society (pp. 1-6). IEEE. https://doi.org/10.1109/IECON48115.2021.9589302.
    Kember, D., Leung, D. Y., Jones, A., Loke, A. Y., McKay, J., Sinclair, K., Tse, H., Webb, C., Wong, F. K. Y., Wong, M., & Yeung, E. (2000). Development of a questionnaire to measure the level of reflective thinking. Assessment & evaluation in higher education, 25(4), 381-395. https://doi.org/10.1080/713611442
    Kock, ZJ., Taconis, R., Bolhuis, S., & Gravemeijer, K. (2013). Some Key Issues in Creating Inquiry-Based Instructional Practices that Aim at the Understanding of Simple Electric Circuits. Research in Science Education, 43(2), 579–597. https://doi.org/10.1007/s11165-011-9278-6
    Komilovna, R. S. (2020). Improvement in teaching of the discipline of electrical engineering and the basis of electronics in higher educational institutions based on information technologies. International Journal of Innovations in Engineering Research and Technology, 7(5), 258-260.
    Kirschner, P., Strijbos, J.-W., Kreijns, K., & Beers, P. J. (2004). Designing electronic collaborative learning environments. Educational Technology Research and Development, 52(3), 47–66. https://doi-org.ezproxy.lib.ntust.edu.tw/10.1007/BF02504675
    Lai, C. L., & Hwang, G. J. (2014). Effects of mobile learning time on students’ conception of collaboration, communication, complex problem-solving, meta-cognitive awareness and creativity. International Journal of Mobile Learning and Organisation, 8(3), 276-291. https://doi.org/10.1504/IJMLO.2014.067029
    Lai, C. L., & Hwang, G. J. (2016). A self-regulated flipped classroom approach to improving students’ learning performance in a mathematics course. Computers & Education, 100, 126-140. https://doi.org/10.1016/j.compedu.2016.05.006
    Lai, C. L., Hwang, G. J., & Tu, Y. H. (2018). The effects of computer-supported self-regulation in science inquiry on learning outcomes, learning processes, and self-efficacy. Educational Technology Research and Development, 66(4), 863-892.
    Lai, C. L., & Hwang, G. J. (2021). Strategies for enhancing self-regulation in e-learning: a review of selected journal publications from 2010 to 2020. Interactive Learning Environments, 1-23.
    Laurillard, D. (2013). Rethinking university teaching: A conversational framework for the effective use of learning technologies. Routledge.
    Leung, X. Y., & Wen, H. (2020). Chatbot usage in restaurant takeout orders: A comparison study of three ordering methods. Journal of Hospitality and Tourism Management, 45, 377-386. https://doi.org/10.1016/j.jhtm.2020.09.004
    Lin, C. J., & Mubarok, H. (2021). Learning Analytics for Investigating the Mind Map-Guided AI Chatbot Approach in an EFL Flipped Speaking Classroom. Educational Technology & Society, 24(4), 16-35.
    Liu, C. C., Liao, M. G., Chang, C. H., & Lin, H. M. (2022). An analysis of children’interaction with an AI chatbot and its impact on their interest in reading. Computers & Education, 104576.
    Lucia, O., Martins, J., Ibrahim, Y., Umetani, K., Gomes, L., Hiraki, E., Zeroug, H., & Manic, M. (2021). Industrial Electronics Education: Past, Present, and Future Perspectives. IEEE Industrial Electronics Magazine, 15(1), 140-154.
    Madeira, R. N., Pires, V. F., Dias, O. P., & Martins, J. F. (2010). An Analog Electronics Mobile Course with a Competitive Learning Approach. International Journal of Interactive Mobile Technologies, 4(4), 37-44. https://doi.org/10.3991/ijim.v4i4.1415
    Matsuura, S., & Ishimura, R. (2017, July). Chatbot and dialogue demonstration with a humanoid robot in the lecture class. International Conference on Universal Access in Human-Computer Interaction (pp. 233-246). Springer, Cham.
    Menendez, L. M., Salaverria, A., Mandado, E., & Dacosta, J. G. (2006, November). Virtual electronics laboratory: A new tool to improve industrial electronics learning. In IECON 2006-32nd Annual Conference on IEEE Industrial Electronics (pp. 5445-5448). IEEE. https://doi.org/10.1109/IECON.2006.348039
    McAuley, E., Duncan, T., & Tammen, V. V. (1989). Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: A confirmatory factor analysis. Research Quarterly for Exercise and Sport, 60(1), 48–58. https://doi.org/10.1080/02701367.1989.10607413
    Mirhosseini, F. S., Lavasani, M. G., & Hejazi, E. (2018). The effectiveness of self-regulation learning skills on motivational and academic variables among students. Middle East Journal of Family Medicine, 16(5), 68-75. https://doi.org/10.5742/MEWFM.2018.93385
    Mokmin, N. A. M., & Ibrahim, N. A. (2021). The evaluation of chatbot as a tool for health literacy education among undergraduate students. Education and Information Technologies, 26(5), 6033-6049. https://doi.org/10.1007/s10639-021-10542-y
    Molnár, G., & Szüts, Z. (2018, September). The role of chatbots in formal education. In 2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY) (pp. 000197-000202). IEEE. https://doi.org/10.1109/SISY.2018.8524609
    Mukhtar, G., Almurtadha, Y., Algarni, F., Abdullah, M., Felemban, E., Alsharafi, A. M., Othman, M., & Ghilan, K. (2022). Mining the Chatbot Brain to Improve COVID-19 Bot Response Accuracy. Computers, Materials, & Continua, 70(2), 2619-2638. https://doi.org/10.32604/cmc.2022.020358
    Mulhall, P., McKittrick, B., & Gunstone, R. (2001). A perspective on the resolution of confusions in the teaching of electricity. Research in Science Education, 31(4), 575-587. https://doi.org/10.1023/A:1013154125379
    Neto, A. J. M., & Fernandes, M. A. (2019, July). Chatbot and conversational analysis to promote collaborative learning in distance education. In 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) (Vol. 2161, pp. 324-326). IEEE. https://doi.org/10.1109/ICALT.2019.00102
    Nguyen, H. D., Pham, V. T., Tran, D. A., & Le, T. T. (2019, October). Intelligent tutoring chatbot for solving mathematical problems in High-school. In 2019 11th International Conference on Knowledge and Systems Engineering (KSE) (pp. 1-6). IEEE. https://doi.org/10.1109/KSE.2019.8919396
    Nguyen, H. D., Tran, T. V., Pham, X. T., Huynh, A. T., & Do, N. V. (2021). Ontology-based Integration of Knowledge Base for Building an Intelligent Searching Chatbot. Sensors and Materials, 33(9), 3101-3123. https://doi.org/10.18494/SAM.2021.3264
    Oh, Y. J., Zhang, J., Fang, M. L., & Fukuoka, Y. (2021). A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss. International Journal of Behavioral Nutrition and Physical Activity, 18(1), 1-25. https://doi.org/10.1186/s12966-021-01224-6
    Panskyi, T., Biedroń, S., Grudzień, K., & Korzeniewska, E. (2021). The Comparative Estimation of Primary Students’ Programming Outcomes Based on Traditional and Distance Out-of-School Extracurricular Informatics Education in Electronics Courses during the Challenging COVID-19 Period. Sensors, 21(22), 7511. https://doi.org/10.3390/s21227511
    Pintrich, P. R. (2000). Multiple goals, multiple pathways: The role of goal orientation in learning and achievement. Journal of educational psychology, 92(3), 544-555. https://doi.org/10.1037/0022-0663.92.3.544
    Rodriguez-Andina, J. J., Gomes, L., & Bogosyan, S. (2010). Current trends in industrial electronics education. IEEE Transactions on Industrial Electronics, 57(10), 3245-3252. https://doi.org/10.1109/TIE.2010.2057235
    Rosário, P., Pereira, A., Hõgemann, J., Nunes, A. R., Figueiredo, M., Núñez, J. C., Fuentes, S., & Gaeta, M. L. (2014). Self-Regulated Learning: A Systematic Review Based in Scielo Journals. Universitas Psychologica, 13(2), 781-797.
    Sakai, D., Kida, S., Harada, K., & Shibata, H. (2018). Educational tool for foundation of electricity using conductive pen and carbon ink brush pen. Electrical Engineering in Japan, 205(4), 3-8. https://doi.org/10.1002/eej.23087
    Sandu, N., & Gide, E. (2019, September). Adoption of AI-Chatbots to enhance student learning experience in higher education in India. In 2019 18th International Conference on Information Technology Based Higher Education and Training (ITHET) (pp. 1-5). IEEE.
    Sangsawang, T. (2020). An instructional design for online learning in vocational education according to a self-regulated learning framework for problem solving during the COVID-19 crisis. Indonesian Journal of Science and Technology, 283-198.
    Savin-Baden, M. (2008). Problem-based learning in electronic engineering: locating legends or promising problems?. International Journal of Electrical Engineering Education, 45(2), 96-109. https://doi.org/10.7227/IJEEE.45.2.2
    Sengupta, P., & Wilensky, U. (2009). Learning electricity with NIELS: Thinking with electrons and thinking in levels. International Journal of Computers for Mathematical Learning, 14(1), 21-50. https://doi.org/10.1007/s10758-009-9144-z
    Shrader, A. M., & Louw, I. (2021). Using a social media project as a way to get students to communicate conservation messages to the general public. Journal of Biological Education, 1-11. https://doi-org.ezproxy.lib.ntust.edu.tw/10.1080/00219266.2021.1924231
    Smutny, P., & Schreiberova, P. (2020). Chatbots for learning: A review of educational chatbots for the Facebook Messenger. Computers & Education, 151, 103862.https://doi.org/10.1016/j.compedu.2020.103862
    Sun, Z., Xie, K., & Anderman, L. H. (2018). The role of self-regulated learning in students' success in flipped undergraduate math courses. The internet and higher education, 36, 41-53. https://doi.org/10.1016/j.iheduc.2017.09.003
    Tamayo, P. A., Herrero, A., Martín, J., Navarro, C., & Tránchez, J. M. (2020). Design of a chatbot as a distance learning assistant. Open Praxis, 12(1), 145-153. https://doi.org/10.5944/openpraxis.12.1.1063
    Tan, K. K., Tang, K. Z., Ng, V., Tay, A., Yen, S. C., & Lee, T. H. (2009). Bridging Physics to Electronics—An Outreach Effort. IEEE Transactions on Education, 53(1), 3-11. https://doi.org/10.1109/TE.2009.2021850
    Topal, A. D., Eren, C. D., & Geçer, A. K. (2021). Chatbot application in a 5th grade science course. Education and Information Technologies, 26(5), 6241-6265. https://doi.org/10.1007/s10639-021-10627-8
    van Alten, D. C., Phielix, C., Janssen, J., & Kester, L. (2020). Effects of self-regulated learning prompts in a flipped history classroom. Computers in human behavior, 108, 106318. https://doi.org/10.1016/j.chb.2020.106318
    Vazquez-Cano, E., Mengual-Andres, S., & Lopez-Meneses, E. (2021). Chatbot to improve learning punctuation in Spanish and to enhance open and flexible learning environments. International Journal of Educational Technology in Higher Education, 18(1), 33. https://doi.org/10.1186/s41239-021-00269-8
    Vekaria, K., Calyam, P., Sivarathri, S. S., Wang, S., Zhang, Y., Pandey, A., Chen, C., Xu, D., Joshi, T., & Nair, S. (2021). Recommender‐as‐a‐service with chatbot guided domain‐science knowledge discovery in a science gateway. Concurrency and Computation: Practice and Experience, 33(19), e6080. https://doi-org.ezproxy.lib.ntust.edu.tw/10.1002/cpe.6080
    Voskamp, A., Kuiper, E., & Volman, M. (2020). Teaching practices for self-directed and self-regulated learning: case studies in Dutch innovative secondary schools. Educational Studies, 1-18. https://doi-org.ezproxy.lib.ntust.edu.tw/10.1080/03055698.2020.1814699
    Wahyudi, S., Joyoatmojo, S., & Sawiji, H. (2017, October). Learning Model of Attention, Relevance, Confidence, Satisfaction (ARCS) supported by video tutorial to improve the students' learning motivation in vocational high school. In International Conference on Teacher Training and Education 2017 (pp. 631-639). Atlantis Press.
    Winne, P. H. (2005). Key Issues in modeling and applying research on self‐regulated learning. Applied Psychology, 54(2), 232-238. https://doi-org.ezproxy.lib.ntust.edu.tw/10.1111/j.1464-0597.2005.00206.x
    Xie, K., Hensley, L. C., Law, V., & Sun, Z. (2019). Self‐regulation as a function of perceived leadership and cohesion in small group online collaborative learning. British Journal of Educational Technology, 50(1), 456-468. https://doi.org/10.1111/bjet.12594
    Yemelyanov, A. M., & Bedny, I. S. (2021, July). Self-regulation approach for setting goals in problem-solving. In International Conference on Applied Human Factors and Ergonomics (pp. 194-200). Springer, Cham.
    Yin, J., Goh, T. T., Yang, B., & Xiaobin, Y. (2021). Conversation technology with micro-learning: the impact of chatbot-based learning on students’ learning motivation and performance. Journal of Educational Computing Research, 59(1), 154-177. https://doi.org/10.1177/0735633120952067
    Zheng, J., Xing, W., Zhu, G., Chen, G., Zhao, H., & Xie, C. (2020). Profiling self-regulation behaviors in STEM learning of engineering design. Computers & Education, 143, 103669. https://doi.org/10.1016/j.compedu.2019.103669
    Zheng, L., Li, X., & Chen, F. (2018). Effects of a mobile self-regulated learning approach on students’ learning achievements and self-regulated learning skills. Innovations in Education and Teaching International, 55(6), 616-624. https://doi-org.ezproxy.lib.ntust.edu.tw/10.1080/14703297.2016.1259080
    Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into practice, 41(2), 64-70. https://doi.org/10.1207/s15430421tip4102_2

    無法下載圖示 全文公開日期 2032/07/27 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)
    全文公開日期 本全文未授權公開 (國家圖書館:臺灣博碩士論文系統)
    QR CODE