Chatbots and Flipped Learning: Enhancing Student Engagement and Learning Outcomes through Personalised Support and Collaboration

Keywords: Chatbots, Collaboration, Engagement, Flipped learning, Personalised support

Abstract

Objective: This paper explored the relationship between chatbots and flipped learning in an educational setting. It also identifies the benefits and drawbacks of using chatbots in a flipped learning context and the ethical and privacy concerns related to their use. Method: The study utilized a theoretical analysis approach, which included a comprehensive review of relevant literature from Scopus and World of Science databases. The data collected from the literature review was analyzed using a qualitative approach. Results: The study found that chatbots can potentially enhance student engagement and learning outcomes in a flipped learning context by providing personalized support, facilitating group discussions and collaborations, providing feedback and assessment on student work, supporting self-directed learning, and enhancing student engagement and motivation. However, using chatbots in a flipped learning context also raises ethical and privacy concerns, including data privacy, data security, and student anonymity. Novelty: Contributes to the existing research on using chatbots in education by providing insights into the potential benefits and drawbacks of using chatbots in a flipped learning context. The study highlights the importance of considering the ethical and privacy concerns and the future potential of chatbots in a flipped learning context and proposes future research directions.

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References

Abbas, N., Whitfield, J., Atwell, E., Bowman, H., Pickard, T., & Walker, A. (2022). Online chat and chatbots to enhance mature student engagement in higher education. International Journal of Lifelong Education, 41(3), 1–19. https://doi.org/10.1080/02601370.2022.2066213

AlDhaen, F. (2022). The use of artificial intelligence in higher education–systematic review. COVID-19 Challenges to University Information Technology Governance, 269–285. https://doi.org/10.1007/978-3-031-13351-0_13

Almodaires, A. A., Alayyar, G. M., Almsaud, T. O., & Almutairi, F. M. (2019). The effectiveness of flipped learning: A quasi-experimental study of the perceptions of kuwaiti pre-service teachers. International Education Studies, 12(1), 10–23. https://doi.org/10.5539/ies.v12n1p10

Bahja, M., Hammad, R., & Butt, G. (2020). A user-centric framework for educational chatbots design and development. International Conference on Human-Computer Interaction, 32–43.

Bergmann, J., & Sams, A. (2014). Flipped learning: Gateway to student engagement. International Society for Technology in Education.

Bouchrika, I., Harrati, N., Wanick, V., & Wills, G. (2021). Exploring the impact of gamification on student engagement and involvement with e-learning systems. Interactive Learning Environments, 29(8), 1244–1257. https://doi.org/10.1080/10494820.2019.1623267

Brewer, R., & Movahedazarhouligh, S. (2018). Successful stories and conflicts: A literature review on the effectiveness of flipped learning in higher education. Journal of Computer Assisted Learning, 34(4), 409–416. https://doi.org/10.1111/jcal.12250

Cameron, K. E., & Bizo, L. A. (2019). Use the game-based learning platform KAHOOT! to facilitate learner engagement in animal science students. Research in Learning Technology, 27, 1-14. https://doi.org/10.25304/rlt.v27.2225

Chang, C. Y., Hwang, G. J., & Gau, M. L. (2022). Promoting students’ learning achievement and self‐efficacy: A mobile chatbot approach for nursing training. British Journal of Educational Technology, 53(1), 171–188. https://doi.org/10.1111/bjet.13158

Chen, H. L., Widarso, V. G., & Sutrisno, H. (2020). A chatbot for learning chinese: Learning achievement and technology acceptance. Journal of Educational Computing Research, 58(6), 1161–1189. https://doi.org/10.1177/0735633120929622

Chen, X., Zou, D., Xie, H., & Cheng, G. (2021). Twenty years of personalized language learning. Educational Technology & Society, 24(1), 205–222.

Chen, Y., Jensen, S., Albert, L. J., Gupta, S., & Lee, T. (2022). Artificial intelligence (AI) student assistants in the classroom: Designing chatbots to support student success. Information Systems Frontiers, 25(2), 1–22. http://dx.doi.org/10.1007/s10796-022-10291-4

Chuah, K. M., & Kabilan, M. (2021). Teachers’ views on the use of chatbots to support english language teaching in a mobile environment. International Journal of Emerging Technologies in Learning (IJET), 16(20), 223–237. https://doi.org/10.3991/ijet.v16i20.24917

Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. EdArXiv, 1-11. https://doi.org/10.35542/osf.io/mrz8h

Devi, J. S., Sreedhar, M. B., Arulprakash, P., Kazi, K., & Radhakrishnan, R. (2022). A path towards child-centric artificial intelligence based education. International Journal of Early Childhood, 14(3), 1–9. http://dx.doi.org/10.9756/INT-JECSE/V14I3.1145

Diwanji, P., Hinkelmann, K., & Witschel, H. F. (2018). Enhance classroom preparation for flipped classroom using AI and analytics. ICEIS, 477–483. http://dx.doi.org/10.5220/0006807604770483

El-Miedany, Y. (2019). Flipped learning. Rheumatology Teaching: The Art and Science of Medical Education, 285–303. https://doi.org/10.1007/978-3-319-98213-7_15

Essel, H. B., Vlachopoulos, D., Tachie-Menson, A., Johnson, E. E., & Baah, P. K. (2022). The impact of a virtual teaching assistant (chatbot) on students’ learning in Ghanaian higher education. International Journal of Educational Technology in Higher Education, 19(1), 1–19. https://doi.org/10.1186/s41239-022-00362-6

Følstad, A., Araujo, T., Law, E. L. C., Brandtzaeg, P. B., Papadopoulos, S., Reis, L., Baez, M., Laban, G., McAllister, P., & Ischen, C. (2021). Future directions for chatbot research: An interdisciplinary research agenda. Computing, 103(12), 2915–2942. https://doi.org/10.1007/s00607-021-01016-7

Følstad, A., Araujo, T., Papadopoulos, S., Law, E. L. C., Granmo, O. C., Luger, E., & Brandtzaeg, P. B. (2020). Chatbot research and design. Springer.

Frangoudes, F., Hadjiaros, M., Schiza, E. C., Matsangidou, M., Tsivitanidou, O., & Neokleous, K. (2021). An overview of the use of chatbots in medical and healthcare education. Learning and Collaboration Technologies: Games and Virtual Environments for Learning: 8th International Conference, LCT 2021, 170–184. https://doi.org/10.1007/978-3-030-77943-6_11

Furrer, C. J., Skinner, E. A., & Pitzer, J. R. (2014). The influence of teacher and peer relationships on students’ classroom engagement and everyday motivational resilience. Teachers College Record, 116(13), 101–123. https://doi.org/10.1177/016146811411601319

Gonda, D. E., & Chu, B. (2019). Chatbot as a learning resource? Creating conversational bots as a supplement for teaching assistant training course. 2019 IEEE International Conference on Engineering, Technology and Education (TALE), 1–5. https://doi.org/10.1109/TALE48000.2019.9225974

Gupta, S., & Chen, Y. (2022). Supporting inclusive learning using chatbots? A chatbot-led interview study. Journal of Information Systems Education, 33(1), 98–108.

Han, J. W., Park, J., & Lee, H. (2022). Analysis of the effect of an artificial intelligence chatbot educational program on non-face-to-face classes: A quasi-experimental study. BMC Medical Education, 22(1), 1–10. https://doi.org/10.1186/s12909-022-03898-3

Haque, M. U., Dharmadasa, I., Sworna, Z. T., Rajapakse, R. N., & Ahmad, H. (2022). "I think this is the most disruptive technology": Exploring sentiments of ChatGPT early adopters using twitter data. ArXiv, 1-12. https://doi.org/10.48550/arXiv.2212.05856

Haristiani, N. (2019). Artificial intelligence (AI) chatbot as language learning medium: An inquiry. Journal of Physics: Conference Series, 1387(1), 1–7. http://dx.doi.org/10.1088/1742-6596/1387/1/012020

Hasal, M., Nowaková, J., Ahmed Saghair, K., Abdulla, H., Snášel, V., & Ogiela, L. (2021). Chatbots: Security, privacy, data protection, and social aspects. Concurrency and Computation: Practice and Experience, 33(19), 1-10. https://doi.org/10.1002/cpe.6426

Hew, K. F., Huang, W., Du, J., & Jia, C. (2022). Using chatbots to support student goal setting and social presence in fully online activities: Learner engagement and perceptions. Journal of Computing in Higher Education, 35, 1–29. https://doi.org/10.1007/s12528-022-09338-x

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

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

Hyun, J., Ediger, R., & Lee, D. (2017). Students’ satisfaction with their learning process in active learning and traditional classrooms. International Journal of Teaching and Learning in Higher Education, 29(1), 108–118.

Jenneboer, L., Herrando, C., & Constantinides, E. (2022). The impact of chatbots on customer loyalty: A systematic literature review. Journal of Theoretical and Applied Electronic Commerce Research, 17(1), 212–229. https://doi.org/10.3390/jtaer17010011

Jeon, J. (2021). Exploring AI chatbot affordances in the EFL classroom: Young learners’ experiences and perspectives. Computer Assisted Language Learning, 1–26. https://doi.org/10.1080/09588221.2021.1987272

Jeon, S. J., Go, M. S., & Namgung, J. H. (2022). Use of personal information for artificial intelligence learning data under the personal information protection act: The case of lee-luda, an artificial-intelligence chatbot in south korea. Asia Pacific Law Review, 31(1), 1–18. https://doi.org/10.1080/10192557.2022.2117483

Khan, A., Egbue, O., Palkie, B., & Madden, J. (2017). Active learning: Engaging students to maximize learning in an online course. Electronic Journal of E-Learning, 15(2), 107‑115.

Kiang, N. H., & Yunus, M. M. (2021). What do malaysian ESL teachers think about flipped classroom. International Journal of Learning, Teaching and Educational Research, 20(3), 117–131. https://doi.org/10.26803/ijlter.20.3.8

Kim, S., Eun, J., Oh, C., Suh, B., & Lee, J. (2020). Bot in the bunch: Facilitating group chat discussion by improving efficiency and participation with a chatbot. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–13. https://doi.org/10.1145/3313831.3376785

Kim, S., Eun, J., Seering, J., & Lee, J. (2021). Moderator chatbot for deliberative discussion: Effects of discussion structure and discussant facilitation. Proceedings of the ACM on Human-Computer Interaction, 5, 1–26. https://doi.org/10.1145/3449161

Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2022). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28(1), 1–46. http://dx.doi.org/10.1007/s10639-022-11177-3

Kumar, J. A., & Silva, P. A. (2020). Work-in-progress: A preliminary study on students’ acceptance of chatbots for studio-based learning. 2020 IEEE Global Engineering Education Conference (EDUCON), 1627–1631. https://doi.org/10.1109/EDUCON45650.2020.9125183

Law, L., Hafiz, M., Kwong, T., & Wong, E. (2020). Enhancing SPOC-flipped classroom learning by using student-centered mobile learning tools. Springer Singapore.

Lebeuf, C., Storey, M. A., & Zagalsky, A. (2017). How software developers mitigate collaboration friction with chatbots. ArXiv, 1-6. https://doi.org/10.48550/arXiv.1702.07011

Li, R., Lund, A., & Nordsteien, A. (2021). The link between flipped and active learning: A scoping review. Teaching in Higher Education, 1–35. https://doi.org/10.1080/13562517.2021.1943655

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.

Mansur, W., Jamaluddin, J., & Safaruddin, S. (2022). Efektivitas Model Pembelajaran ROPES Terhadap Hasil Belajar Peserta Didik Sekolah Menengah Pertama. Journal of Instructional and Development Researches, 2(5), 188-193. https://doi.org/10.53621/jider.v2i5.96

McLean, S., & Attardi, S. M. (2023). Sage or guide? Student perceptions of the role of the instructor in a flipped classroom. Active Learning in Higher Education, 24(1), 49–61. https://doi.org/10.1177/1469787418793725

Mendoza, S., Sánchez-Adame, L. M., Urquiza-Yllescas, J. F., González-Beltrán, B. A., & Decouchant, D. (2022). A model to develop chatbots for assisting the teaching and learning process. Sensors, 22(15), 1-21. https://doi.org/10.3390/s22155532

Neto, A. J. M., & Fernandes, M. A. (2019). Chatbot and conversational analysis to promote collaborative learning in distance education. 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT), 2161, 324–326. https://doi.org/10.1109/ICALT.2019.00102

Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, 1-10. https://doi.org/10.1016/j.caeai.2021.100033

Pérez, J. Q., Daradoumis, T., & Puig, J. M. M. (2020). Rediscovering the use of chatbots in education: A systematic literature review. Computer Applications in Engineering Education, 28(6), 1549–1565. https://doi.org/10.1002/cae.22326

Prondoza, G. R., & Panoy, J. F. (2022). Development of chatbot supplementary tool in science and the self-regulated learning skills among the grade 10 students. Asia Pacific Journal of Advanced Education and Technology, 107-116. https://doi.org/10.54476/apjaet/95445

Regulation GDPR. (2018). General data protection regulation (GDPR). Intersoft Consulting.

Rossano, V., Plantamura, P., Gentile, E., & Roselli, T. (2022). Flipped learning in corporate training to support industry 4.0. EDULEARN22 Proceedings, 10244–10251. http://dx.doi.org/10.1088/1742-6596/1521/3/032038

Safaruddin, S., Degeng, I. N. S., Setyosari, P., & Murtadho, N. (2020). The Effect of PjBL with WBL Media and Cognitive Style on Students’ Understanding and Science-Integrated Concept Application. Jurnal Pendidikan IPA Indonesia, 9(3), 384–395. https://doi.org/10.15294/jpii.v9i3.24628

Serrano, D. R., Dea‐Ayuela, M. A., Gonzalez‐Burgos, E., Serrano‐Gil, A., & Lalatsa, A. (2019). Technology‐enhanced learning in higher education: How to enhance student engagement through blended learning. European Journal of Education, 54(2), 273–286. https://doi.org/10.1111/ejed.12330

Sharma, A., Undheim, P. E., & Nazir, S. (2022). Design and implementation of AI chatbot for COLREGs training. WMU Journal of Maritime Affairs, 1–17. https://doi.org/10.1007/s13437-022-00284-0

Shin, J., Hedderich, M. A., Lucero, A., & Oulasvirta, A. (2022). Chatbots facilitating consensus-building in asynchronous co-design. Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, 1–13. https://doi.org/10.1145/3526113.3545671

Shumanov, M., & Johnson, L. (2021). Making conversations with chatbots more personalized. Computers in Human Behavior, 117, 1-4. https://doi.org/10.1016/j.chb.2020.106627

Suhel, S. F., Shukla, V. K., Vyas, S., & Mishra, V. P. (2020). Conversation to automation in banking through chatbot using artificial machine intelligence language. 2020 8th International Conference on Reliability, Infocom Technologies and Optimisation (Trends and Future Directions)(ICRITO), 611–618. https://doi.org/10.1109/ICRITO48877.2020.9197825

Tangkittipon, P., Sawatdirat, A., Lakkhanawannakun, P., & Noyunsan, C. (2020). Facilitating a flipped classroom using chatbot: A conceptual model. Engineering Access, 6(2), 103–107. http://doi.org/10.14456/mijet.2020.20

Tomas, L., Evans, N. S., Doyle, T., & Skamp, K. (2019). Are first year students ready for a flipped classroom? A case for a flipped learning continuum. International Journal of Educational Technology in Higher Education, 16(1), 1–22. https://doi.org/10.1186/s41239-019-0135-4

Tsivitanidou, O., & Ioannou, A. (2020). Users’ needs assessment for chatbots’ use in higher education. Central European Conference on Information and Intelligent Systems, 55–62.

Valério, F. A., Guimarães, T. G., Prates, R. O., & Candello, H. (2020). Comparing users’ perception of different chatbot interaction paradigms: A case study. Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems, 1–10. https://doi.org/10.1145/3424953.3426501

Vanichvasin, P. (2021). Chatbot development as a digital learning tool to increase students’ research knowledge. International Education Studies, 14(2), 44–53. https://doi.org/10.5539/ies.v14n2p44

Varnavsky, A. N. (2022). Chatbot to increase the effectiveness of the «flipped classroom» technology. 2022 2nd International Conference on Technology Enhanced Learning in Higher Education (TELE), 289–293. https://doi.org/10.1109/TELE55498.2022.9801001

Winkler, R., & Söllner, M. (2018). Unleashing the potential of chatbots in education: A state-of-the-art analysis. Academy of Management Annual Meeting (AOM), 1-6. https://doi.org/10.5465/AMBPP.2018.15903abstract

Wollny, S., Schneider, J., Di Mitri, D., Weidlich, J., Rittberger, M., & Drachsler, H. (2021). Are we there yet? A systematic literature review on chatbots in education. Frontiers in Artificial Intelligence, 4, 1-18. https://doi.org/10.3389/frai.2021.654924

Yang, S., & Evans, C. (2019). Opportunities and challenges in using AI chatbots in higher education. Proceedings of the 2019 3rd International Conference on Education and E-Learning, 79–83. https://doi.org/10.1145/3371647.3371659

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

Yusuf, B., & Taiye, M. A. (2021). A flipped learning environment: A disruptive approach for traditional classrooms? International Journal of Education, Psychology and Counseling, 6(42), 83–98. https://doi.org/10.35631/IJEPC.642008

Zabel, S., & Otto, S. (2021). Bias in, bias out–the similarity-attraction effect between chatbot designers and users. International Conference on Human-Computer Interaction, 12764, 184–197. https://doi.org/10.1007/978-3-030-78468-3_13

Zhai, X. (2022). ChatGPT user experience: Implications for education. SSRN, 1–18. https://dx.doi.org/10.2139/ssrn.4312418

Published
2023-03-31
How to Cite
Baskara, F. R. (2023). Chatbots and Flipped Learning: Enhancing Student Engagement and Learning Outcomes through Personalised Support and Collaboration. IJORER : International Journal of Recent Educational Research, 4(2), 223-238. https://doi.org/10.46245/ijorer.v4i2.331
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