Psychological Development and Education ›› 2024, Vol. 40 ›› Issue (3): 375-383.doi: 10.16187/j.cnki.issn1001-4918.2024.03.08
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TAN Lihua1, FENG Shiji2
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Ahn, I., Chiu, M. M., & Patrick, H. (2021). Connecting teacher and student motivation: Student-perceived teacher need-supportive practices and student need satisfaction. Contemporary Educational Psychology, 64, Article 101950.https://doi.org/10.1016/j.cedpsych.2021.101950 Alhadabi, A. (2021). Science interest, utility, self-efficacy, identity, and science achievement among high school students: An application of SEM Tree. Frontiers in Psychology, 12, Article 634120.https://doi.org/10.3389/fpsyg.2021.634120 Bandura, A., Freeman, W. H., & Lightsey, R. (1999).Self-efficacy: The exercise of control. Springer. Beghetto, R. A. (2006). Creative self-efficacy: Correlates in middle and secondary students.Creativity Research Journal, 18(4), 447-457. Beghetto, R. A. (2009). Correlates of intellectual risk taking in elementary school science. Journal of Research in Science Teaching, 46(2), 210-223. Beghetto, R. A., & Baxter, J. A. (2012). Exploring student beliefs and understanding in elementary science and mathematics. Journal of Research in Science Teaching, 49(7), 942-960. Beghetto, R. A., Karwowski, M., & Reiter-Palmon, R. (2021). Intellectual risk taking: A moderating link between creative confidence and creative behavior?Psychology of Aesthetics Creativity and the Arts, 15(4), 637-644. Bentler, P. M. (1990). Comparative fit indexes in structural models.Psychological Bulletin, 107(2), 238-246. Chen, J. A., Tutwiler, M. S., Metcalf, S. J., Kamarainen, A., Grotzer, T., & Dede, C. (2016). A multi-user virtual environment to support students' self-efficacy and interest in science: A latent growth model analysis.Learning and Instruction, 41, 11-22. Chen, P. P., Zhang, J. H., Xu, N. L., Zhang, K. G., & Xiao, L. J. (2021). The relationship between need for cognition and adolescents' creative self-efficacy: The mediating roles of perceived parenting behaviors and perceived teacher support. Current Psychology.https://doi.org/10.1007/s12144-021-02122-7 Cheng, M. H. M., & Wan, Z. H. (2016). Unpacking the paradox of Chinese science learners: Insights from research into Asian Chinese school students' attitudes towards learning science, science learning strategies, and scientific epistemological views. Studies in Science Education, 52(1), 29-62. Ciani, K. D., Sheldon, K. M., Hilpert, J. C., & Easter, M. A. (2011). Antecedents and trajectories of achievement goals: A self-determination theory perspective. British Journal of Educational Psychology, 81(2), 223-243. Cole, D. A., Ciesla, J. A., & Steiger, J. H. (2007). The insidious effects of failing to include design-driven correlated residuals in latent-variable covariance structure analysis. Psychological Methods, 12(4), 381-398. Damon, W., Lerner, R. M., & Eisenberg, N. (Eds.). (2006). Handbook of child psychology, social, emotional, and personality development (6 ed.). John Wiley & Sons. De Loof, H., Struyf, A., Pauw, J. B. D., & Van Petegem, P. (2021). Teachers' motivating style and students' motivation and engagement in STEM: The relationship between three key educational concepts. Research in Science Education, 51(SUPPL 1), 109-127. Domen, J., Hornstra, L., Weijers, D., van derVeen, I., & Peetsma, T. (2020). Differentiated need support by teachers: Student-specific provision of autonomy and structure and relations with student motivation.British Journal of Educational Psychology, 90(2), 403-423. Fensham, P. J. (2016). The future curriculum for school science: What can be learnt from the past?Research in Science Education, 46(2), 165-185. Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development.Educational Psychologist, 41(2), 111-127. Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives.Structural Equation Modeling-a Multidisciplinary Journal, 6(1), 1-55. Hung, S. P. (2018). Validating the creative self-efficacy student scale with a Taiwanese sample: An item response theory-based investigation. Thinking Skills and Creativity, 27, 190-203. Jungert, T., & Koestner, R. (2015). Science adjustment, parental and teacher autonomy support and the cognitive orientation of science students. Educational Psychology, 35(3), 361-376. Kalchman, M., & Koedinger, K. R. (2005). Teaching and learning functions. In M. S. Donovan & J.D. Bransford (Eds.), How students learn: History, mathematics, and science in the classroom (pp. 397-420). The National Academies Press. Karwowski, M., Lebuda, I., & Beghetto, R. A. (2019). Creative Self-Beliefs. In J. C. Kaufman & R. J. Sternberg (Eds.), The Cambridge handbook of creativity (pp. 396-417). Cambridge University Press. Kline, R. B. (2015).Principles and practice of structural equation modeling. Guilford Publications. Lehman, A., O'Rourke, N., Hatcher, L., & Stepanski, E. (2013).JMP for basic univariate and multivariate statistics: Methods for researchers and social scientists. Sas Institute. OECD. (2017). PISA 2015 Assessment and Analytical Framework. OECD Publishing.https://doi.org/10.1787/9789264281820-en Olivier, E., Galand, B., Hospel, V., & Dellisse, S. (2020). Understanding behavioural engagement and achievement: The roles of teaching practices and student sense of competence and task value. British Journal of Educational Psychology, 90(4), 887-909. Ozbay, H. E., & Koksal, M. S. (2021). Middle school students' scientific epistemological beliefs, achievements in science and intellectual risk-taking. Science & Education, 30(5), 1233-1252. Renninger, K. A., & Hidi, S. E. (2019). Interest Development and Learning. In K. A. Renninger & S. E. Hidi (Eds.), Cambridge Handbook of Motivation and Learning (pp. 265-290). Cambridge University Press. Richardson, H. A., Simmering, M. J., & Sturman, M. C. (2009). A tale of three perspectives examining post hoc statistical techniques for detection and correction of common method variance.Organizational Research Methods, 12(4), 762-800. Rotgans, J. I., & Schmidt, H. G. (2017). Interest development: Arousing situational interest affects the growth trajectory of individual interest. Contemporary Educational Psychology, 49, 175-184. Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, 101860.https://doi.org/10.1016/j.cedpsych.2020.101860 Schiefele, U. (1991). Interest, learning, and motivation. Educational Psychologist, 26(3-4), 299-323. Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., & King, J. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review.Journal of Educational Research, 99(6), 323-337. Stroet, K., Opdenakker, M. C., & Minnaert, A. (2013). Effects of need supportive teaching on early adolescents' motivation and engagement: A review of the literature. Educational Research Review, 9, 65-87. Tang, X. W., Coffey, J. E., Elby, A., & Levin, D. M. (2010). The scientific method and scientific inquiry: Tensions in teaching and learning. Science Education, 94(1), 29-47. Tierney, P., & Farmer, S. M. (2002). Creative self-efficacy: Its potential antecedents and relationship to creative performance. Academy of Management Journal, 45(6), 1137-1148. Wan, Z. H., So, W. M. W., & Hu, W. P. (2021). Necessary or sufficient? The impacts of epistemic beliefs on STEM creativity and the mediation of intellectual risk-taking. International Journal of Science Education, 43(5), 672-692. Wang, M. T., & Eccles, J. S. (2013). School context, achievement motivation, and academic engagement: A longitudinal study of school engagement using a multidimensional perspective.Learning and Instruction, 28, 12-23. Zhang, D. H., Bobis, J., Wu, X. L., & Cui, Y. R. (2020). The effects of an autonomy-supportive teaching intervention on chinese physics students and their teacher. Research in Science Education, 50(2), 645-671. 陈继文, 郭永玉, 胡小勇. (2015). 教师自主支持与初中生的学习投入: 家庭社会阶层与学生自主动机的影响. 心理发展与教育, 31(2), 180-187. 方杰, 温忠麟, 张敏强, 孙配贞. (2014). 基于结构方程模型的多重中介效应分析. 心理科学进展, 22(3), 735-741. 高申春. (2000). 自我效能理论评述. 心理发展与教育, 16(1), 60-64. 胡卫平, 郭习佩, 季鑫, 严国红, 张睆. (2021). 思维型科学探究教学的理论建构. 课程·教材·教法, 41(6), 123-129. 罗星凯. (2004). 实施科学探究性学习必须正视的问题. 全球教育展望, 33(03), 43-46. 罗云, 赵鸣, 王振宏. (2014). 初中生感知教师自主支持对学业倦怠的影响: 基本心理需要, 自主动机的中介作用. 心理发展与教育, 30(3), 312-321. 欧阳丹. (2005). 教师期望, 学业自我概念, 学生感知教师支持行为与学业成绩之间的关系研究 (硕士学位论文).广西师范大学, 桂林. 王国霞, 赵扬. (2022). 教师自主支持与学生学业成就关系的元分析:心理需要满足、动机及投入的中介作用. 心理发展与教育(03), 380-390. 赵兰兰, 汪玲. (2006). 学习兴趣研究综述. 首都师范大学学报 (社会科学版), (6), 107-112. 赵燕梅, 张正堂, 刘宁, 丁明智. (2016). 自我决定理论的新发展述评. 管理学报, 13(7), 1095-1104. 中华人民共和国教育部. (2022). 义务教育科学课程标准(2022年版). 北京师范大学出版社. |
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