An Investigative Study of Junior High School Students' Conceptions of AI Learning: A Drawing Analysis-based Approach

被引:0
作者
Zhao, Sunan [1 ]
Zhang, Yi [1 ]
Wang, Ying [1 ]
Gao, Hanrui [1 ]
机构
[1] Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan, Peoples R China
来源
2024 INTERNATIONAL SYMPOSIUM ON EDUCATIONAL TECHNOLOGY, ISET | 2024年
关键词
junior high school students; conceptions of AI learning; drawing analysis; chi-square test; SCIENCE;
D O I
10.1109/ISET61814.2024.00018
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Exploring junior high school students' perceptions and experiences about AI learning in the age of intelligence is of great significance. In this study, a total of 218 junior high school students' drawings of their conceptions of AI learning were collected, and the students' drawings were coded and statistically analysed using the method of drawing analysis, aiming to explore the overall situation and differences in junior high school students' conceptions of AI learning. The results showed that junior high school students generally perceived that students were in the main body in AI learning and that the learning took place in AI classrooms with good smart facilities. Most students' learning activities depended on the teacher's explanations, and most of them showed positive learning emotions. In the dimension of AI learning activities, the grade difference is manifested in that students in the first year of junior high school have more group activities, and students in the second year of junior high school are more inclined to experience various smart products. Gender differences are shown in that male students have more programming tendency and female students rely more on teacher's explanation.
引用
收藏
页码:44 / 48
页数:5
相关论文
共 29 条
  • [1] Central People's Government of the People's Republic of China, 2022, Notice of the State Council on Printing and Distributing the Development Plan for the New Generation of Artificial Intelligence
  • [2] Explicating AI Literacy of Employees at Digital Workplaces
    Cetindamar, Dilek
    Kitto, Kirsty
    Wu, Mengjia
    Zhang, Yi
    Abedin, Babak
    Knight, Simon
    [J]. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 : 810 - 823
  • [3] Chang C.-Y., 2022, Interactive Learning Environments, P1
  • [4] Epistemic Network Analysis of Students' Drawings to Investigate Their Conceptions of Science Learning with Technology
    Chang, Hsin-Yi
    Tsai, Chin-Chung
    [J]. JOURNAL OF SCIENCE EDUCATION AND TECHNOLOGY, 2023, 32 (02) : 267 - 283
  • [5] A systematic review of trends and findings in research employing drawing assessment in science education
    Chang, Hsin-Yi
    Lin, Tzung-Jin
    Lee, Min-Hsien
    Lee, Silvia Wen-Yu
    Lin, Tzu-Chiang
    Tan, Aik-Ling
    Tsai, Chin-Chung
    [J]. STUDIES IN SCIENCE EDUCATION, 2020, 56 (01) : 77 - 110
  • [6] Cultural stereotypes as gatekeepers: increasing girls' interest in computer science and engineering by diversifying stereotypes
    Cheryan, Sapna
    Master, Allison
    Meltzoff, Andrew N.
    [J]. FRONTIERS IN PSYCHOLOGY, 2015, 6
  • [7] Desy E.A., 2011, Science Educator, V20, P23
  • [8] Advancement and the foci of investigation of MOOCs and open online courses for language learning: a review of journal publications from 2009 to 2018
    Fang, Jian-Wen
    Hwang, Gwo-Jen
    Chang, Ching-Yi
    [J]. INTERACTIVE LEARNING ENVIRONMENTS, 2022, 30 (07) : 1351 - 1369
  • [9] Gao H., 2023, China Educ. Technol., P99
  • [10] Gao H., Educ and Inf Technol.