Generative Artificial Intelligence Drives the Transformation of Learning: Trends and Challenges
Abstract
is to explore the impact of GenAI on the transformation of learning, as well as the possible trends and challenges in this process. First of all,
this paper reviews the application process of artificial intelligence technology in education, and points out that from programmed instruction
stage, expert system stage, computational thinking stage, to todays intelligent assistant stage, the impact of artificial intelligence technology
on education is more and more profound. Then, this paper introduces the influence of GenAI on adaptive learning, heuristic learning, collaborative learning, generative learning, evidence-based learning and immersive learning. Finally, this paper discusses the possible problems of
data security, suggestion accuracy and ethics in the application of GenAI in education.
Keywords
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[1] Xu Zhen-Guo, Wang Yue, Xie Wan-Li, et al. The Influence of Human-machine Cooperative Teaching on Students Learning EffectA
Meta-analysis Based on 43 Experimental and Quasi-Experimental Studies [J]. Modern Educational Technology, 2024, 34 (02): 33-42.
[2] Chen Shipin, Zhang Jianping. Adaptive Learning Support System Architecture Based on EAHAM Model [J]. e-Education Research,
2008, (11): 53 ~ 57.
[3] Jiang Qiang. Research on Supported Model and Implementing Mechanism for Adaptive Learning System [D]. Northeast Normal University, 2013. DOI: CNKI: CDMD: 1.1013. 142331.
[4] Gao Huzi, Zhou Dongdai. Research Status and Prospect of Learner Learning Style Model in Adaptive Learning System [J]. e-Education
Research, 2012 (2): 7.
[5] Chen Haomiao. Implications of Xue Ji on contemporary Chinese teaching [D]. Hunan Normal University.
[6] Yang Zongkai, Wang Jun, Wu Tiao, et al. Exploring the Impact of ChatGPT/AIGC on Education andStrategies for Response[J]. Journal
of East China Normal University (Educational Sciences Edition), 2023, (7): 26-35
[7] Song Huan, Lin Min.The Transformation of Teachers Work in the Era of ChatGPT/AIGC: Opportunities, Challenges, and Responses [J].
Journal of East China Normal University (Educational Science Edition), 2023, (7): 78-90.
[8] CTB Project. The Effects of Collaborative Learning Strategies on Students' Academic Performance and Social Skills! [EB/OL]. https://
mp.weixin.qq.com/s/kkerzyGjrrd-EhT1VkG9MA.
[9] Sawyer. Cambridge Handbook of Learning Science [M]. Translated by Xu Xiaodong. Beijing: Educational Science Press, 2010:467.
[10] Chen Xiangdong, Luo Chun, Zhang Jiangxiang. Shared Regulation: A New Research and Practice Framework for Collaborative
Learning[J]. Journal of Distance Education, 2019, (1): 62-71.
[11] Ma Zhiqiang, Yue Yunzhu, Wang Wenqiu. Analysis of Collaborative Learning Engagement based on Multimodal Interaction Information
[J]. Modern Educational Technology, 2021, (1): 47-53.
[12] Zhang Wenlan, Liu Junling, Liu Bin. Research on Influence of Emotional Interaction on Collaborative Knowledge Construction of Online Learners [J]. e-Education Research, 2021, (1): 72-79.
[13] Campbell R. ChatGPT-4 in the classroom: A new era of collaborative learning[OL]. https://richardccampbell.com/chatgpt-4-in-theclassroom-a-new-era-of-collaborative-learning/.
[14] Li Yi. The Summarizing and Judging of Research on Generative Teaching [J]. Journal of Ningbo University (Educational Science Edition), 2006 (4): 19-23.
[15] Kohnke L., Moorhouse B L, Zou D. ChatGPT for language teaching and learning[J]. RELC Journal, 2023, (3):1-14.
[16] Abramson A.. How to use ChatGPT as a learning tool[OL]. https://www.apa.org/monitor/2023/06/chatgpt-learning-tool
[17] Zuckerman M., Flood R., et al. ChatGPT for assessment writing[J]. Medical Teacher, 2023(11):1224-1227.
[18] Feng Rui, Sun Jiajing, Sun Faqin. Ethical Risk and Rational Choice of Artificial Intelligence in the Application of Education[J]. Journal
of Distance Education, 2020, 38 (03): 47-54.
[19] Looking Review. Beware of "AI Illusion" Creating Cultural Illusion[EB/OL]. https://mp.weixin.qq.com/s/LaHfKpYJnTNWqzJLzYI4-
WQ.
[20] Zhang Li, Zhou Lin, Zhao Leilei. Educational Application Risk of Generative ArtificiaI Intelligence and its Avoidance: From the Perspective of Educational subjectivity [J]. Open Education Research, 2023, 29 (05): 47-53.
[21] Feng Rui, Sun Jiajing, Sun Faqin. Ethical Risk and Rational Choice in the Application of Artificial Intelligence in Education [J]. Journal
of Distance Education, 2020, 38 (03): 47-54.
DOI: http://dx.doi.org/10.70711/aitr.v2i4.4885
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