The attitudes and perceptions of Chinese Literature students in Mandarin learning using ChatGPT
DOI:
https://doi.org/10.53696/27753719.51226Keywords:
ChatGPT, Mandarin learning, student perceptionAbstract
Nowadays, ChatGPT usage is widely known in various aspects, including language learning. This study aims to understand the perceptions and attitudes of Chinese literature students regarding the use of ChatGPT for Mandarin learning. A survey research method was employed, and data were collected from 32 students who had experience using ChatGPT for Mandarin learning. The findings indicate that students generally have positive perceptions and attitudes towards ChatGPT, considering it convenient and effective for learning Mandarin. They perceive various advantages of ChatGPT, such as improving the quality of their Mandarin learning and enhancing their language skills. However, concerns about potential disadvantages, such as issues with plagiarism or inaccurate information, were also identified. These findings suggest that ChatGPT is a valuable tool for Mandarin learning, but further research is needed to address concerns related to plagiarism and accuracy to optimize its effectiveness in educational settings.
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Abdaljaleel, M., Barakat, M., Alsanafi, M., Salim, N., Abazid, H., Malaeb, D., Alzayer, R. (2023). Factors Influencing Attitudes of University Students towards ChatGPT and its Usage: A Multi-National Study Validating the TAME-ChatGPT Survey Instrument. https://doi.org/10.20944/preprints202309.1541.v1
Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. SSRN Electronic Journal, 7(1), 52-62. https://doi.org/10.2139/ssrn.4337484
Batra, S., & Verma, S. (2023). To Study the Impact of Chatgpt Tool on Academic Learning: Perspective of Students and Teachers in Higher Education. Journal of Informatics Education and Research, 3(2), 1969-1977. https://doi.org/10.52783/jier.v3i2.340
Božić, V., & Poola, I. (2023). Chat GPT and education. https://doi.org/10.13140/RG.2.2.18837.40168
Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2023). Chatting and Cheating. Ensuring academic integrity in the era of ChatGPT. https://doi.org/10.35542/osf.io/mrz8h
Das, S. R., & J.V., M. (2024). Perceptions of Higher Education Students. International Journal of Technology in Education, 7(1), 86-106. https://doi.org/10.46328/ijte.583
Floridi, L., & Chiriatti, M. (2020). GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines, 30(2), 1-14. https://doi.org/10.1007/s11023-020-09548-1
Hsu, H.-L., Chen, H. H.-J., & Todd, A. G. (2023). Investigating the impact of the Amazon Alexa on the development of L2 listening and speaking skills. Interactive Learning Environments, 31(9), 5732-5745. https://doi.org/10.1080/10494820.2021.2016864
Iqbal, N., Ahmed, H., & Azhar, K. A. (2022). Exploring Teachers' Attitudes towards Using Chat GPT. Global Journal for Management and Administrative Sciences, 3(4), 97-111. https://doi.org/10.46568/gjmas.v3i4.163
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Oleksandr. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 1-13. https://doi.org/10.1016/j.lindif.2023.102274
Li, X., Li, B., & Cho, S. J. (2023). Empowering Chinese Language Learners from Low Income Families to Improve Their Chinese Writing with ChatGPT’s Assistance Afterschool. Languages 8, 8(4), 1-16. https://doi.org/10.3390/languages8040238
Li, Y., Choi, D., Chung, J., Kushman, N., Schrittwieser, J., Leblond, R., Johannes. (2022). Competition-level code generation with AlphaCode. Science, 378(6624), 1092-1097. https://doi.org/10.1126/science.abq1158
Liu, B. (2023). Chinese University Students’ Attitudes and Perceptions in Learning English Using ChatGPT. International Journal of Education and Humanities, 3(2), 133-140. Retrieved from http://i-jeh.com/index.php/ijeh/index
Liu, G. L., Darvin, R., & Ma, C. (2024). Exploring AI-mediated informal digital learning of English (AI-IDLE): a mixed-method investigation of Chinese EFL learners’ AI adoption and experiences. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2024.2310288
Murtadhoh, N. L., & Arini, W. (2023). The Existence of Chinese Language in The Globalization Era. Journal of Maobi, 1(1), 7-13. https://doi.org/10.20961/maobi.v1i1.79731
Ngo, T. T. (2023). The Perception by University Students of the Use of ChatGPT in Education. International Journal of Emerging Technologies in Learning (iJET), 18(17), 4-19. https://doi.org/10.3991/ijet.v18i17.39019
Rudolph, J., Tan, S., & Tan, S. (2023). War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. Journal of Applied Learning & Teaching., 6(1), 364-389. https://doi.org/10.37074/jalt.2023.6.1.23
Setiawan, D., Karuniawati, E. A., & Janty, S. I. (2023). Peran Chat Gpt (Generative Pre-Training Transformer) Dalam Implementasi Ditinjau Dari Datase. INNOVATIVE: Journal Of Social Science Research, 3(3), 9527-9539. Retrieved from https://j-innovative.org/index.php/Innovativ
Sugiyono. (2019). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta.
Taber, K. S. (2018). The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48(1), 1273-1296. https://doi.org/10.1007/s11165-016-9602-2
Ursachi, G., Zait, A., & Horodnic, I. A. (2015). How Reliable are Measurement Scales? External Factors with Indirect Influence on Reliability Estimators. Procedia Economics and Finance, 20, 679-686. https://doi.org/10.1016/S2212-5671(15)00123-9
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