基本信息:
姓名:杨先通
职称:副教授
学位:博士
学术兼职:中国心理学会会员;BMC Psychology编委;Frontiers in Psychology 客座主编;Frontiers in Education客座副主编;担任十余本SSCI期刊审稿人
联系方式:xtyang@fjnu.edu.cn
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研究方向:
学生学习心理;教师教学心理;AI+教育心理;心理健康
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学习与工作经历:
2020-2025 北京师范大学心理学部,教育学博士
2023-2024 哈佛大学教育学院,联合培养博士
2025-今福建师范大学心理学院,副教授
主要承担本科公共必修课《发展与教育心理学》教学工作。
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科研成果:
期刊论文(*通讯作者,†共同一作):
1. Yang, X., Star., J. R., Liu, Ru-De., Ding, Z., &Yang, Y. (2025).Toward an integrated model of the individual differences in mathematical flexibility.Educational Psychology Review. (Accepted)
2. Yang, X., Yang, Y., Qin, D., & Zhong, M. (2025). Who is the antecedent? Mapping the relation from mental health to mobile phone addiction using cross-lagged panel network analysis. Current Psychology, 44, 2334–2347. https://doi.org/10.1007/s12144-025-07334-9
3. Yang, X., Song, L., Zhao, Y., & Cheng, D. (2024). Mapping gender networks of music self-concept and music emotions: A network analysis study of music majors in China. British Journal of Educational Psychology, 94(2), 642–660. https://doi.org/10.1111/bjep.12671
4. Yang, X., Liu, R.-D., Ding, Y., Ding, Z., & Yang, Y. (2023). Beyond cognition: The relation between parents’ reading-related activities and reading-related achievement emotions in Chinese students. European Journal of Psychology of Education. https://doi.org/10.1007/s10212-023-00772-8
5. Yang, X., *& Wang, Y. (2023). The relation between teaching self-efficacy and behavior of experimental design teaching in Chinese science teachers. Research in Science & Technological Education. https://www.tandfonline.com/doi/abs/10.1080/02635143.2023.2248022
6. Yang, X., Liu, R.-D., * Ding, Y., Hong, W., & Jiang, S. (2023). The relations between academic procrastination and self-esteem in adolescents: A longitudinal study. Current Psychology, 42(9), 7534–7548. https://doi.org/10.1007/s12144-021-02075-x
7. Yang, X., Liu, R.-D., * Ding, Y., Hong, W., & Ding, Z. (2023). Interpersonal relationships moderate the relation between academic stress and mobile phone addiction via depression among Chinese adolescents: A three-wave longitudinal study. Current Psychology, 42(22), 19076–19086. https://doi.org/10.1007/s12144-022-02951-0
8. Yang, X., Wang, J., Liu, R.-D., * Ding, Y., Hong, W., Yang, Y., & Hwang, J. (2022). Home quarantine behavior in college students: The internal mechanism and cross-national differences. Psychology Research and Behavior Management, 15, 823–837. https://doi.org/10.2147/PRBM.S359983
9. Yang, X., Zhang, M., Zhao, Y., Wang, Q., & Hong, J.-C. (2022). Relationship between creative thinking and experimental design thinking in science education: Independent or related. Thinking Skills and Creativity, 101183. https://doi.org/10.1016/j.tsc.2022.101183
10. Yang, X., Zhang, M., Kong, L., Wang, Q., *& Hong, J.-C. (2020). The effects of scientific self-efficacy and cognitive anxiety on science engagement with the “Question-Observation-Doing-Explanation” model during school disruption in COVID-19 pandemic. Journal of Science Education and Technology, 30(3), 380–393. https://doi.org/10.1007/s10956-020-09877-x
11. Yang, X., Zhang, M., Song, X., Hou, L., & Wang, Q. (2019). Regional educational equity: A survey on the ability to design scientific experiments of sixth-grade students. Journal of Baltic Science Education, 18(6), 971–985. https://doi.org/10.33225/jbse/19.18.971
12. Zhang, M. M., Yang, X.* (2024). Using machine learning to identify the top predictors of adolescent’s interactive technology use for entertainment: Evidence from a longitudinal study. Entertainment Computing, 100912. https://doi.org/10.1016/j.entcom.2024.100912.
13. Zhang, M. M., Yang, X.* (2024). Google or ChatGPT: Who is the better helper for university students. Education and Information Technologies. https://doi.org/10.1007/s10639-024-13002-5.
14. Ye, J.-H., Zhang, M., Nong, W., Wang, L., &Yang, X.* (2024).The relationship between inert thinking and ChatGPT dependence: An I-PACE model perspective.Education and Information Technologies. https://doi.org/10.1007/s10639-024-12966-8.
15. Zhang, M.M., Yang, X.,*& Akintunde, T.Y. (2024). Sex gaps and age differences in the structure of academic cyberloafing from early to middle adolescence: A network analysis. Journal of Adolescence, 12. https://doi.org/10.1002/jad.12352
16. Song, L., Yang, X.,*& Zhao, Y. (2023). The core features, internal relations, and gender differences in music academic engagement: A network analysis. Revista de Psicodidáctica, 28(2), 115–124. https://doi.org/10.1016/j.psicoe.2023.06.003
17. Liu, T.,†Yang, X.,† Meng, F., & Wang, Q. (2023). Teachers who are stuck in time: Development and validation of teachers’ time poverty scale. Psychology Research and Behavior Management, 16, 2267–2281. https://doi.org/10.2147/PRBM.S414132
18. Song, X.,†Yang, X.,† Wang, Q., Hong, C., & Su, Y. (2022). The relationship between teacher’s gender and deep learning strategy: The mediating role of deep learning motivation. Psychology in the Schools, 59(11),2251-2266. https://doi.org/10.1002/pits.22694
19. Wang, Q., Song, X., Hong, J.-C., Li, S., Zhang, M., &Yang, X.* (2023). Impact of social comparison on perceived online academic futility: A perspective from parents. Education and Information Technologies, 28(5), 5805–5832. https://doi.org/10.1007/s10639-022-11402-z
20. 杨先通, 刘儒德, 刘坚, &洪伟. (2023). 中小学生劳动参与及其影响因素—基于164所中小学的实证研究. 基础教育, 20(4), 79-91.
专(编)著:
Ye, J.-H., He, Z., Yang, X., Nong, W., Ye, JN. (2025). Challenges, Opportunities, and Strategies of Rural Vocational Education. In M. A. Peters, & R. Heraud (Eds.), Encyclopedia of Educational Innovation (pp. 1-8). Springer, Singapore. https://doi.org/10.1007/978-981-13-2262-4_316-1
Nong, W., Ye, J.-H., Lu, Y., &Yang, X. (Edting). Construction of a learning society - Theories, experiences and future trends in lifelong learning. IntechOpen.
Ye, J.-H., Yang, X., Wu, Y.-F., & LI, J. (Edting).Vocational and technical education - Bridging skills and industry. IntechOpen.
课题:
国家社会科学基金一般项目:中小学生手机使用行为及其影响因素(批准号: 17BSH102) (参与)
全国教育科学规划教育部重点项目:台湾青年教师赴陆高校任教影响因素与因应策略之研究:从推拉系住力模型的视角(批准号: DIZ220581) (参与)
北京市教育科学规划优先关注项目:中小学生自主学习能力及其提升策略的研究(批准号: CDEA22010)(参与)
中国基础教育质量监测协同创新中心项目:学生品德行为素养测评与诊断改进(项目编号: 19QYHX-A006)(参与)
