Research on the Evaluation Model of Students' Independent Learning Effectiveness in the Perspective of Generative Artificial Intelligence
DOI: https://doi.org/10.62517/jhet.202515250
Author(s)
Wensheng Sun
Affiliation(s)
School of Business, Wuhan Huaxia Institute of Technology, Wuhan, China
Abstract
Currently, generative artificial intelligence is widely used in various fields. In the field of education, it provides a new paradigm for the construction of new education systems such as intelligent learning and interactive learning. As an innovative tool for project-based independent learning, it can assume multiple roles such as intelligent assistant, learning companion, teacher, etc., provide students with training and support for innovative thinking in all aspects, and enhance their innovative skills for independent learning. In the student-oriented project-based independent learning, the traditional evaluation method still exists the problem of focusing on the results but not the process, ignoring the process of students' efforts, AI technology can bring changes to the evaluation method through voice recognition, image recognition and other technologies to form a combination of quantitative and qualitative, taking into account both the process and the results of the scientific evaluation model that is more targeted.
Keywords
Generative Artificial Intelligence; Autonomous Learning; Evaluation Models
References
[1]Circular of the State Council on the Issuance of the Development Plan for a New Generation of Artificial Intelligence, Central People's Government of the People's Republic of China, Chinese government website. (July 20, 2017)
[2]Circular of the Ministry of Science and Technology and Six Other Departments on the Issuance of Guiding Opinions on Accelerating Scenario Innovation to Promote High-Quality Development of the Economy with High-Level Application of Artificial Intelligence, China.gov.cn. (July 29, 2022)
[3]Guo Xiaoxu. Discussion on the evaluation mode of students' independent learning effect based on artificial intelligence. Wireless Internet Technology, 2021 (23):131-135.
[4]Pang Weiguo. From the psychological mechanism of independent learning to see the focus point of independent learning ability cultivation. Global Education Prospects, 2002(5):26-31.
[5]Jiang L. AI-driven education reform: the impact and outlook of ChatGPT/GPT. Journal of East China Normal University (Education Science Edition), 2023, 41(7):143-150.
[6]LIU Wei, TAN Weizhi. Teacher-student interaction in the era of artificial intelligence: Difficulties and breakthroughs. Open Education Research, 2022, 28(2), 54-63.
[7]Lu Y, Yu Jinglei, Chen Penghe, et al. Educational applications and perspectives of generative artificial intelligence: an example of ChatGPT system. China Distance Education, 2023, 43(4):24-31, 51.
[8]Zhou Xinxin. Generative Artificial Intelligence+ Education: A research on curriculum model for the cultivation of learners' innovative ability. China Education Technology Equipment, 2024 (21) :15-18.
[9]Liu Qingtang, He Haoyi, Wu Linjing, et al. Classroom teaching behavior analysis method based on artificial intelligence and its application. China Electrified Education, 2019(9):13-21.
[10]Shen Shusheng, Zhu Zhiting. ChatGPT-like products: intrinsic mechanism and its impact on learning evaluation. China Distance Education, 2023, 43(04), 8-15.