Revolutionizing Education with AI Chatbots: Enhancing Learning and Assessment
Abstract
References
Adamopoulou, E., & Moussiades, L. (2020). Chatbots: History, technology, and applications. Machine Learning with Applications, 2, 100006. https://doi.org/10.1016/j.mlwa.2020.100006
Benotti, L., Martinez, M. C., & Schapachnik, F. (2017). A tool for introducing computer science with automatic formative assessment. IEEE transactions on learning technologies, 11(2), 179–192. https://doi.org/10.1109/tlt.2017.2682084.
Bencze, J. L., & Alsop, S. (2009). A critical and creative inquiry into school scientific inquiry. In W-M. Roth, & K. Tobin (Eds.). The World of Science Education: Handbook of Research in North America (pp. 27–47). Netherlands: Sense Publishers. https://doi.org/10.1163/9789087907471_005.
Busan Metropolitan City Office of Education. (2019). Guidebook for Artificial Intelligence- based Education. Busan: Uhga press.
Chang, J., Park, J., & Park, J. (2021). An analysis on the trends of education research related to ‘Artificial Intelligence chatbot’ in Korea: Focusing on implications for use in science education. Journal of Learner-Centered Curriculum and Instruction, 21(13), 729–743. https://doi.org/10.22251/jlcci.2021.21.13.729.
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.
Colace, F., De Santo, M., Lombardi, M., Pascale, F., Pietrosanto, A., & Lemma, S. (2018). Chatbot for e-learning: A case of study. International Journal of Mechanical Engineering and Robotics Research, 7(5), 528–533. https://doi.org/10.18178/ijmerr.7.5.528-533.
Deveci Topal, A., Dilek Eren, C., & Kolburan Geçer, A. (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.
Fryer, L., & Carpenter, R. (2006). Bots as language learning tools. Language Learning & Technology, 10(3), 8–14.
Gallacher, A., Thompson, A., Howarth, M., Taalas, P., Jalkanen, J., Bradley, L., & Thouësny, S. (2018). “My robot is an idiot!†– students’ perceptions of AI in the L2 classroom. In P. Taalas, J. Jalkanen, L. Bradley & S. Thouësny (Eds), Future-Proof CALL: Language Learning as Exploration and Encounters– Short Papers from EUROCALL (pp. 70–78). Retrieved from Research-publishing.net. https://doi.org/10.14705/rpnet.2018.26.815.
Gupta, S., & Chen, Y. (2022). Supporting inclusive learning using chatbots? A chatbot- led interview study. Journal of Information Systems Education, 33(1), 98–108.
Ha, M., Lee, G- Shin, S., Lee, J- Choi, S., Ghoo, J., Kim, N., Lee, H., Lee, J., Jo, Y., Kang, K., & Park, J. (2019). Assessment as a learning-support tool and use of artificial intelligence: WA3 I project case. School Science Journal, 13(3), 271–282.
Hobert, S. (2019). How are you, chatbot? evaluating chatbots in educational settings – results of a literature review. Lecture Notes in Informatics 17, 259–270.
Holotescu, C. (2016). MOOCBuddy: a Chatbot for personalized learning with MOOCs. In A. Iftene & J. Vanderdonckt (Eds.). RoCHI – International Conference on Human- Computer Interaction (Vol. 91) (pp. 91–94). Publisher MATRIX ROM. http://rochi.utcluj.ro/proceedings/en/index.php.
Huang, W., Hew, K. F., & Fryer, L. K. (2022). Chatbots for language learning: Are they really useful? A systematic review of chatbot-supported language learning. Journal of Computer Assisted Learning, 38(1), 237–257. https://doi.org/10.1111/jcal.12610.
Huang, M., Zhu, X., & Gao, J. (2020). Challenges in building intelligent open-domain dialog systems. ACM Transactions on Information Systems (TOIS), 38(3), 1–32. https://doi.org/10.1145/3383123.
Hwang, G. J., & Chang, C. Y. (2021). A review of opportunities and challenges of chatbots in education. Interactive Learning Environments, 1–14. https://doi.org/10.1080/10494820.2021.1952615.
Jeong, C., & Jeong, J. (2020). A study on the method of implementing an AI chatbot to respond to the POSTCOVID-19 untact era. Journal of Information Technology Services, 19(4), 31–47.
Kapucu, S. (2016). Guided Inquiry-based electricity experiments: Pre-service elementary science teachers’ difficulties. Journal of Education and Future, 10, 71–93.
Kelly, S. M. (2023, February 1). ChatGPT creator rolls out ‘imperfect’ tool to help teachers spot potential cheating CNN Business. Retrieved from https://edition.cnn.com/2023/01/31/tech/chatgpt-check-tool/index.html.
Khan, R. A., Jawaid, M., Khan, A. R., & Sajjad, M. (2023). ChatGPT-Reshaping medical education and clinical management. Pakistan Journal of Medical Sciences, 39(2), 605–607. https://doi.org/10.12669/pjms.39.2.7653.
Kim, H. J., Rhee, S. W., Jeong, S. H., & Tahk, H. S. (2020). The study of framework of structural scenarios for chatbot docent in science centers and museums. Journal of the Korea Convergence Society, 11(11), 115–121.
Kim, M., & Tan, A. L. (2011). Rethinking difficulties of teaching inquiryâ€based practical work: stories from elementary preâ€service teachers. International Journal of Science Education, 33(4), 465–486. https://doi.org/10.1080/09500691003639913.
Kim, N.-Y. (2016). Effects of voice chat on EFL learners’ speaking ability according to proficiency levels. Multimedia-Assisted Language Learning, 19(4), 63–88.
Kussmaul, C., & Pirmann, T. (2021). Guided inquiry learning with technology: Investigations to support social constructivism. Proceedings of the 13th International Conference on Computer Supported Education, 1, 483–490. https://doi.org/10.5220/0010458104830490.
Lee, G., & Ha. M. (2020). The present and future of AI-based automated evaluation: A literature review on descriptive assessment and other side. Journal of Educational Technology, 36(2), 353–382. https://doi.org/10.17232/kset.36.2.353.
Margunayasa, I. G., Dantes, N., Marhaeni, A. A. I. N., & Suastra, I. W. (2019). The effect of guided inquiry learning and cognitive style on science learning achievement. International Journal of Instruction, 12(1), 737–750. https://doi.org/10.29333/iji.2019.12147a.
Martin, S., Lopez-MartÃn, E., Lopez-Rey, A., Cubillo, J., Moreno-Pulido, A., & Castro, M. (2018). Analysis of new technology trends in education: 2010–2015. IEEE Access, 6, 36840–36848. https://doi.org/10.1109/access.2018.2851748.
Mitchell, J. C. (1983). Case and situation analysis. Sociological Review, 31, 187–211. https://doi.org/10.1111/j.1467–954X.1983.tb00387.x.
McArthur, D., Lewis, M., & Bishary, M. (2005). The roles of artificial intelligence in education: current progress and future prospects. Journal of Educational Technology, 1(4), 42–80. https://doi.org/10.26634/jet.1.4.972.
Mendoza, S., Hernández-León, M., Sánchez-Adame, L. M., RodrÃguez, J., Decouchant, D., Meneses-Viveros, A. (2020). Supporting student-teacher interaction through a chatbot. In P. Zaphiris & A. Ioannou (Eds.) HCII 2020: Learning and Collaboration Technologies. Human and Technology Ecosystems (pp. 93–107). Springer. https://doi.org/10.1007/978-3-030-50506-6_8.
Pereira, J. (2016). Leveraging chatbots to improve self-guided learning through conversational quizzes. In Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality (pp. 911–918). ACM.
Puentedura, R. R. (2010). SAMR and TPCK: Intro to advanced practice. Ruben R. Puentedura’s Weblog. Retrieved 11 April, 2015 from http://hippasus.com/resources/sweden2010/SAMR_TPCK_IntroToAdvancedPractice.pdf.
Puentedura, R. R. (2012). The SAMR model: Background and exemplars. Presentation slides. Retrieved 28 March, 2015 from http://wiki.milaca.k12.mn.us/groups/samr/wiki.
Renz, A., & Vladova, G. (2021). Reinvigorating the discourse on human-centered artificial intelligence in educational technologies. Technology Innovation Management Review, 11(5), 5–16. https://doi.org/10.22215/timreview/1438.
Reyes, R., Garza, D., Garrido, L., Cueva, V. D. L., & Ramirez, J. (2019). Methodology for the implementation of virtual assistants for education using google Dialogflow. In L. MartÃnez-Villaseñor, I. Batyrshin, A. MarÃn-Hernández (Eds) Advances in Soft Computing. MICAI 2019. Lecture Notes in Computer Science, 11835. Springer. https://doi.org/10.1007/978-3-030-33749-0_35.
Riley, D. (2007). Educational technology and practice: Types and timescales of change. Journal of Educational Technology & Society, 10(1), 85–93.
Sadeh, I., & Zion, M. (2009). The development of dynamic inquiry performances within an open inquiry setting: A comparison to guided inquiry setting. Journal of Research in Science Teaching, 46(10), 1137–1160. https://doi.org/10.1002/tea.20310.
DOI: 10.28944/dzihni.v3i01.1318
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.