The future has arrived: An exploration of computational thinking readiness among Chinese early childhood education teachers (original) (raw)

References

• Albion, P., Campbell, C., & Jobling, W. (2018). Technologies education for the primary years. Cengage Learning Australia.
  Google Scholar
• Aldhafeeri, F., Palaiologou, I., & Folorunsho, A. (2016). Integration of digital technologies into play-based pedagogy in Kuwaiti early childhood education: Teachers’ views, attitudes and aptitudes. International Journal of Early Years Education, 24(3), 342–360. https://doi.org/10.1080/09669760.2016.1172477
  Article Google Scholar
• Alexander, J., Bache, K., Chase, J., Freyman, C., Roessner, J. D., & Smyth, P. (2013). An exploratory study of interdisciplinarity and breakthrough ideas. 2013 Proceedings of PICMET’ 13: Technology Management in the IT-Driven Services (PICMET), 2130-2140. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6641812
• Anderson, N. D. (2016). A call for computational thinking in undergraduate psychology. Psychology Learning & Teaching, 15(3), 226–234. https://doi.org/10.1177/1475725716659252
  Article Google Scholar
• Aslan, A., & Zhu, C. (2017). Investigating variables predicting Turkish pre-service teachers’ integration of ICT into teaching practices. British Journal of Educational Technology, 48(2), 552–570. https://doi.org/10.1111/bjet.12437
  Article Google Scholar
• Avcı, C., & Deniz, M. N. (2022). Computational thinking: Early childhood teachers’ and prospective teachers’ preconceptions and self-efficacy. Education and Information Technologies, 27(8), 11689–11713. https://doi.org/10.1007/s10639-022-11078-5
  Article Google Scholar
• Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. https://doi.org/10.1037/0033-295X.84.2.191
  Article Google Scholar
• Bandura, A. (1997). Self-efficacy: The exercise of control. W.H. Freeman.
  Google Scholar
• Bates, A. B., Latham, N., & Kim, J. A. (2011). Linking preservice teachers’ mathematics self-efficacy and mathematics teaching efficacy to their mathematical performance. School Science and Mathematics, 111(7), 325–333. https://doi.org/10.1111/j.1949-8594.2011.00095.x
  Article Google Scholar
• Bati, K. (2022). A systematic literature review regarding computational thinking and programming in early childhood education. Education and Information Technologies, 27(2), 2059–2082. https://doi.org/10.1007/s10639-021-10700-2
  Article Google Scholar
• Bati, K., & İkbal Yetişir, M. (2021). Examination of Turkish middle school STEM teachers’ knowledge about computational thinking and views regarding information and communications technology. Computers in the Schools, 38(1), 57–73. https://doi.org/10.1080/07380569.2021.1882206
  Article Google Scholar
• Bers, M. U. (2012). Designing digital experiences for positive youth development: From playpen to playground. Oxford University Press.
  Book Google Scholar
• Bers, M. U., Flannery, L., Kazakoff, E. R., & Sullivan, A. (2014). Computational thinking and tinkering: Exploration of an early childhood robotics curriculum. Computers & Education, 72, 145–157. https://doi.org/10.1016/j.compedu.2013.10.020
  Article Google Scholar
• Bower, M., Wood, L. N., Lai, J. W. M., Highfield, K., Veal, J., Howe, C., & Lister, R. (2017). Improving the computational thinking pedagogical capabilities of school teachers. Australian Journal of Teacher Education, 42(3), 53–72. https://doi.org/10.14221/ajte.2017v42n3.4
  Article Google Scholar
• Butler, D., & Leahy, M. (2021). Developing preservice teachers’ understanding of computational thinking: A constructionist approach. British Journal of Educational Technology, 52(3), 1060–1077. https://doi.org/10.1111/bjet.13090
  Article Google Scholar
• Cabrera, L. (2019). Teacher preconceptions of computational thinking: A systematic literature review. Journal of Technology and Teacher Education, 27(3), 305–333. Retrieved 1 April 2024, from https://www.learntechlib.org/primary/p/210234/
• Cabrera, L., Ketelhut, D. J., Mills, K., Killen, H., Coenraad, M., Byrne, V. L., & Plane, J. D. (2024). Designing a framework for teachers’ integration of computational thinking into elementary science. Journal of Research in Science Teaching, 61(6), 1326–1361. https://doi.org/10.1002/tea.21888
  Article Google Scholar
• Çakır, R., Şahin, H., Balci, H., & Vergili, M. (2021). The effect of basic robotic coding in-service training on teachers’ acceptance of technology, self-development, and computational thinking skills in technology use. Journal of Computers in Education, 8(2), 237–265. https://doi.org/10.1007/s40692-020-00178-1
  Article Google Scholar
• Chan, C. K. Y., & Lee, K. K. W. (2023). The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers? Smart Learning Environments, 10, 60. https://doi.org/10.1186/s40561-023-00269-3
  Article Google Scholar
• Chen, X., & Ma, Y. (2020). Construction and exploration of evaluation index systems of localized computational thinking: Based on the sample analysis and verification of 1410 senior high school students (in Chinese). Journal of Distance Education, 38(5), 70–80.
  Google Scholar
• Cheng, S. L., & Xie, K. (2018). The relations among teacher value beliefs, personal characteristics, and TPACK in intervention and non-intervention settings. Teaching and Teacher Education, 74, 98–113. https://doi.org/10.1016/j.tate.2018.04.014
  Article Google Scholar
• Computer Science Teachers Association (2017). K-12 computer science standards. Retrieved 15 March 2024, from https://members.csteachers.org/documents/en-us/46916364-83ab-4f51-85fb-06b3b25b417c/1/.
• Denning, P. J. (2009). The profession of IT beyond computational thinking. Communications of the Acm, 52(6), 28–30. https://doi.org/10.1145/1516046.1516054
  Article Google Scholar
• Denning, P. J. (2017). Remaining trouble spots with computational thinking. Communications of the Acm, 60(6), 33–39. https://doi.org/10.1145/2998438
  Article Google Scholar
• Dunning, D. (2011). The Dunning–Kruger effect: On being ignorant of one’s own ignorance. Advances in Experimental Social Psychology, 44, 247–296. https://doi.org/10.1016/B978-0-12-385522-0.00005-6
  Article Google Scholar
• Dunning, D., Heath, C., & Suls, J. M. (2004). Flawed self-assessment: Implications for health, education, and the workplace. Psychological Science in the Public Interest, 5(3), 69–106. https://doi.org/10.1111/j.1529-1006.2004.00018.x
  Article Google Scholar
• Egert, F., Fukkink, R. G., & Eckhardt, A. G. (2018). Impact of in-service professional development programs for early childhood teachers on quality ratings and child outcomes: A meta-analysis. Review of Educational Research, 88(3), 401–433. https://doi.org/10.3102/0034654317751918
  Article Google Scholar
• Egert, F., Dederer, V., & Fukkink, R. G. (2020). The impact of in-service professional development on the quality of teacher-child interactions in early education and care: A meta-analysis. Educational Research Review, 29, 100309. https://doi.org/10.1016/j.edurev.2019.100309
  Article Google Scholar
• Fagerlund, J., Leino, K., Kiuru, N., & Niilo-Rämä, M. (2022). Finnish teachers’ and students’ programming motivation and their role in teaching and learning computational thinking. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.948783
• Fang, Z. (1996). A review of research on teacher beliefs and practices. Educational Research, 38(1), 47–65. https://doi.org/10.1080/0013188960380104
  Article Google Scholar
• Fletcher, G. H. L., & Lu, J. J. (2009). Education human computing skills: Rethinking the K-12 experience. Communications of the ACM, 52(2), 23–25. https://doi.org/10.1145/1461928.1461938
  Article Google Scholar
• Gerde, H. K., Pierce, S. J., Lee, K., & Van Egeren, L. A. (2018). Early childhood educators’ self-efficacy in science, math, and literacy instruction and science practice in the classroom. Early Education and Development, 29(1), 70–90. https://doi.org/10.1080/10409289.2017.1360127
  Article Google Scholar
• Geng, Z., Zeng, B., Islam, A. Y. M., Zhang, X., & Huang, J. (2024). Validating a measure of computational thinking skills in Chinese kindergartners. Education and Information Technologies, pp 1–36. https://doi.org/10.1007/s10639-024-13100-4
• González-Sanmamed, M., Sangrà, A., & Muñoz-Carril, P. C. (2017). We can, we know how. But do we want to? Teaching attitudes towards ICT based on the level of technology integration in schools. Technology Pedagogy and Education, 26(5), 633–647. https://doi.org/10.1080/1475939X.2017.1313775
  Article Google Scholar
• Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 38–43. https://doi.org/10.3102/0013189x12463051
  Article Google Scholar
• Hammack, R., & Ivey, T. (2017). Examining elementary teachers’ engineering self-efficacy and engineering teacher efficacy. School Science and Mathematics, 117(1–2), 52–62. https://doi.org/10.1111/ssm.12205
  Article Google Scholar
• Hammack, R., Yeter, I. H., Pavlovich, C., & Boz, T. (2024). Pre-service elementary teachers’ science and engineering teaching self-efficacy and outcome expectancy: Exploring the impacts of efficacy source experiences through varying course modalities. International Journal of STEM Education, 11(1), 4. https://doi.org/10.1186/s40594-024-00464-9
  Article Google Scholar
• Heidegger, M. (1977). The question concerning technology, and other essays transl. Harper Torchbooks.
  Google Scholar
• Hestness, E., Jass Ketelhut, D., McGinnis, J. R., Plane, J., Razler, B., Mills, K., Cabrera, L., & Gonzalez, E. (2018). Computational thinking professional development for elementary science educators: Examining the design process. Proceedings of Society for Information Technology & Teacher Education International Conference, 1904–1912. Retrieved 1 April 2024, from https://www.learntechlib.org/p/182789
• Hong, X., & Zhang, M. (2020). The protection of kindergarten teachers’ rights and interests in China and its impact on their occupational stress based on the survey of 18 cities in China (in Chinese). Teacher Development Research, 4, 74–80.
  Google Scholar
• Hong, X., Zhao, S., & Shan, Q. (2024). Adaptive caregiving beliefs and professional competence among Chinese childcare center teachers: A moderated mediation model. Early Education and Development, 35(4), 824–842. https://doi.org/10.1080/10409289.2023.2243188
  Article Google Scholar
• Hu, B. Y., Li, Y., Wang, C., Wu, H., & Vitiello, G. (2021). Preschool teachers’ self-efficacy, classroom process quality, and children’s social skills: A multilevel mediation analysis. Early Childhood Research Quarterly, 55, 242–251. https://doi.org/10.1016/j.ecresq.2020.12.001
  Article Google Scholar
• Huang, C. (2013). Gender differences in academic self-efficacy: A meta-analysis. European Journal of Psychology of Education, 28(1), 1–35. https://doi.org/10.1007/s10212-011-0097-y
  Article Google Scholar
• Huang, R., Geng, Z., & Siraj, I. (2023). Exploring the associations among Chinese kindergartners between academic achievement and behavioral, cognitive and emotional self-regulation. Early Education and Development, 34(3), 591–606. https://doi.org/10.1080/10409289.2022.2056695
• International Society for Technology in Education (2018). ISTE standards for educators: Computational thinking competencies. Retrieved 15 March 2024, from https://www.iste.org/standards/iste-standards-for-teachers
• Jaipal-Jamani, K., & Angeli, C. (2017). Effect of robotics on elementary preservice teachers’ self-efficacy, science learning, and computational thinking. Journal of Science Education and Technology, 26(2), 175–192. https://doi.org/10.1007/s10956-016-9663-z
  Article Google Scholar
• Jung, S. E., & Won, E. (2018). Systematic review of research trends in robotics education for young children. Sustainability, 10(4), 905. https://doi.org/10.3390/su10040905
  Article Google Scholar
• Kalelioğlu, F., Gülbahar, Y., & Kukul, V. (2016). A framework for computational thinking based on a systematic research review. Baltic Journal of Modern Computing, 4(3), 583–596. Retrieved 21 March 2024, from https://www.bjmc.lu.lv/fileadmin/user_upload/lu_portal/projekti/bjmc/Contents/4_3_15_Kalelioglu.pdf
• Kazakoff, E. R., Sullivan, A., & Bers, M. U. (2013). The effect of a classroom-based intensive robotics and programming workshop on sequencing ability in early childhood. Early Childhood Education Journal, 41(4), 245–255. https://doi.org/10.1007/s10643-012-0554-5
  Article Google Scholar
• Ketelhut, D. J., Mills, K., Hestness, E., Cabrera, L., Plane, J., & McGinnis, J. R. (2020). Teacher change following a professional development experience in integrating computational thinking into elementary science. Journal of Science Education and Technology, 29(1), 174–188. https://doi.org/10.1007/s10956-019-09798-4
  Article Google Scholar
• Kimmons, R., & Hall, C. (2016). Toward a broader understanding of teacher technology integration beliefs and values. Journal of Technology and Teacher Education, 24(3), 309–335. Retrieved 1 April 2024, from https://www.learntechlib.org/primary/p/172627/
• Kong, S. C., & Lai, M. (2022). Validating a computational thinking concepts test for primary education using item response theory: An analysis of students’ responses. Computers & Education, 187, 104562. https://doi.org/10.1016/j.compedu.2022.104562
  Article Google Scholar
• Korkmaz, Ö., Çakir, R., & Özden, M. Y. (2017). A validity and reliability study of the computational thinking scales (CTS). Computers in Human Behavior, 72, 558–569. https://doi.org/10.1016/j.chb.2017.01.005
  Article Google Scholar
• Kotsopoulos, D., Floyd, L., Dickson, B. A., Nelson, V., & Makosz, S. (2022). Noticing and naming computational thinking during play. Early Childhood Education Journal, 50(4), 699–708. https://doi.org/10.1007/s10643-021-01188-z
  Article Google Scholar
• Lam, C. B., Li, X., & Chung, K. K. (2024). Improving Chinese children’s socioemotional competence, behavioral adjustment, and pre-academic skills: Impacts of the 3es program. Early Childhood Research Quarterly, 68, 13–23. https://doi.org/10.1016/j.ecresq.2024.03.002
  Article Google Scholar
• Li, F., Wang, X., He, X., Cheng, L., & Wang, Y. (2022). The effectiveness of unplugged activities and programming exercises in computational thinking education: A meta-analysis. Education and Information Technologies, 27(6), 7993–8013. https://doi.org/10.1007/s10639-022-10915-x
  Article Google Scholar
• Lim, E. M. (2023). The effects of pre-service early childhood teachers’ digital literacy and self-efficacy on their perception of AI education for young children. Education and Information Technologies, 28(10), 12969–12995. https://doi.org/10.1007/s10639-023-11724-6
  Article Google Scholar
• Liu, Y., & Yu, Y. P. (2021). The current status, categories and related factors of Chinese kindergarten’s management quality: Based on a latent profile analysis (in Chinese). Studies in Early Childhood Education, 1, 17–28.
  Google Scholar
• Ljunggren, B., & Eidevald, C. (2023). Men’s career choices in early childhood education and care – an embodied intersectionality perspective. Gender and Education, 35(1), 37–52. https://doi.org/10.1080/09540253.2022.2142531
  Article Google Scholar
• Luo, W., Berson, I. R., Berson, M. J., & Park, S. (2023). An exploration of early childhood teachers’ technology, pedagogy, and content knowledge (TPACK) in mainland China. Early Education and Development, 34(4), 963–978. https://doi.org/10.1080/10409289.2022.2079887
  Article Google Scholar
• Martins, E. C., da Silva, L. G., & Neris, V. P. (2023). Systematic mapping of computational thinking in preschool children. International Journal of Child-Computer Interaction, 36, 100566. https://doi.org/10.1016/j.ijcci.2023.100566
  Article Google Scholar
• McLay, K. F., & Reyes, V. C. Jr. (2024). Beyond TPACK: A case for foregrounding affect in technology rich 21st-century teaching and learning. Journal of Computer Assisted Learning, 40(6)3201–3214. https://doi.org/10.1111/jcal.13055
  Article Google Scholar
• Merino-Armero, J. M., González-Calero, J. A., & Cózar-Gutiérrez, R. (2022). Computational thinking in K-12 education. An insight through meta-analysis. Journal of Research on Technology in Education, 54(3), 410–437. https://doi.org/10.1080/15391523.2020.1870250
  Article Google Scholar
• Merjovaara, O., Eklund, K., Nousiainen, T., Karjalainen, S., Koivula, M., Mykkänen, A., & Hämäläinen, R. (2024). Early childhood pre-service teachers’ attitudes towards digital technologies and their relation to digital competence. Education and Information Technologies, 1–16. https://doi.org/10.1007/s10639-023-12237-y
• Ministry of Education (2012). Early learning and development guideline for children aged 3_–_6 years. Retrieved 20 March 2024, from http://www.moe.gov.cn/srcsite/A06/s3327/201210/t20121009_143254.html
• Ministry of Education (2022). Compulsory education curriculum program and standards. Retrieved 15 March 2024, from http://www.moe.gov.cn/srcsite/A26/s8001/202204/t20220420_619921.html
• Mishra, P. (2019). Considering contextual knowledge: The TPACK diagram gets an upgrade. Journal of Digital Learning in Teacher Education, 35(2), 76–78. https://doi.org/10.1080/21532974.2019.1588611
  Article Google Scholar
• Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
  Article Google Scholar
• Moudgalya, S. K., Yadav, A., Sands, P., Vogel, S., & Zamansky, M. (2021). Teacher views on computational thinking as a pathway to computer science. Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V 1, 262–268. https://doi.org/10.1145/3430665.3456334
• Murcia, K., Campbell, C., & Aranda, G. (2018). Trends in early childhood education practice and professional learning with digital technologies. Pedagogika, 68(3), 249–264. https://doi.org/10.14712/23362189.2018.858
  Article Google Scholar
• National Research Council. (2010). Report of a workshop on the scope and nature of computational thinking. National Academies. https://doi.org/10.17226/12840
  Book Google Scholar
• Newhouse, C. P., Cooper, M., & Cordery, Z. (2017). Programmable toys and free play in early childhood classrooms. Australian Educational Computing, 32(1). Retrieved 28 March 2024, from http://journal.acce.edu.au/index.php/AEC/article/view/147/pdf
• OECD (2018). PISA 2022 mathematics framework. Retrieved 1 April 2024, from https://pisa2022-maths.oecd.org/ca/index.html
• Papadakis, S., Kalogiannakis, M., & Zaranis, N. (2016). Developing fundamental programming concepts and computational thinking with ScratchJr in preschool education: A case study. International Journal of Mobile Learning and Organisation, 10(3), 187–202. https://doi.org/10.1504/IJMLO.2016.077867
  Article Google Scholar
• Papadakis, S., Vaiopoulou, J., Sifaki, E., Stamovlasis, D., Kalogiannakis, M., & Vassilakis, K. (2021). Factors that hinder in-service teachers from incorporating educational robotics into their daily or future teaching practice. Proceedings of the 13th International Conference on Computer Supported Education (CSEDU 2021)-2, 55-63. https://doi.org/10.5220/0010413900550063
• Parviainen, P., Eklund, K., Koivula, M., Liinamaa, T., & Rutanen, N. (2024). Enhancing teachers’ pedagogical awareness of teaching early mathematical skills – A mixed methods study of tailored professional development program. Early Education and Development, 1–23. https://doi.org/10.1080/10409289.2024.2336661
• Peng, W. J., McNess, E., Thomas, S., Wu, X. R., Zhang, C., Li, J. Z., & Tian, H. S. (2014). Emerging perceptions of teacher quality and teacher development in China. International Journal of Educational Development, 34, 77–89. https://doi.org/10.1016/j.ijedudev.2013.04.005
  Article Google Scholar
• Pérez-Calderón, E., Prieto-Ballester, J. M., & Miguel-Barrado, V. (2021). Analysis of digital competence for Spanish teachers at pre-university educational key stages during COVID-19. International Journal of Environmental Research and Public Health, 18(15). https://doi.org/10.3390/ijerph18158093
• Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
  Article Google Scholar
• Rao, N., Su, Y., & Gong, J. (2022). Persistent urban–rural disparities in early childhood development in China: The roles of maternal education, home learning environments, and early childhood education. International Journal of Early Childhood, 54(3), 445–472. https://doi.org/10.1007/s13158-022-00326-x
  Article Google Scholar
• Reinhold, F., Leuders, T., Loibl, K., Nückles, M., Beege, M., & Boelmann, J. M. (2024). Learning mechanisms explaining learning with digital tools in educational settings: A cognitive process framework. Educational Psychology Review, 36(1), 14. https://doi.org/10.1007/s10648-024-09845-6
  Article Google Scholar
• Rich, K. M., Yadav, A., & Zhu, M. (2019). Levels of abstraction in students’ mathematics strategies: What can applying computer science ideas about abstraction bring to elementary mathematics? The Journal of Computers in Mathematics and Science Teaching, 38(3), 267–298. Retrieved 1 April 2024, from https://par.nsf.gov/servlets/purl/10183081
• Rich, P. J., Larsen, R. A., & Mason, S. L. (2021a). Measuring teacher beliefs about coding and computational thinking. Journal of Research on Technology in Education, 53(3), 296–316. https://doi.org/10.1080/15391523.2020.1771232
  Article Google Scholar
• Rich, P. J., Mason, S. L., & O’Leary, J. (2021b). Measuring the effect of continuous professional development on elementary teachers’ self-efficacy to teach coding and computational thinking. Computers & Education, 168, 104196. https://doi.org/10.1016/j.compedu.2021.104196
  Article Google Scholar
• Sailer, M., Stadler, M., Schultz-Pernice, F., Franke, U., Schöffmann, C., Paniotova, V., Husagic, L., & Fischer, F. (2021). Technology-related teaching skills and attitudes: Validation of a scenario-based self-assessment instrument for teachers. Computers in Human Behavior, 115, 106625. https://doi.org/10.1016/j.chb.2020.106625
  Article Google Scholar
• Sands, P., Yadav, A., & Good, J. (2018). Computational thinking in K-12: In-service teacher perceptions of computational thinking. Computational Thinking in the STEM Disciplines: Foundations and Research Highlights, 151-164. https://doi.org/10.1007/978-3-319-93566-9_8
• Schmid, M., Brianza, E., Mok, S. Y., & Petko, D. (2024). Running in circles: A systematic review of reviews on technological pedagogical content knowledge (TPACK). Computers & Education, 214, 105024. https://doi.org/10.1016/j.compedu.2024.105024
  Article Google Scholar
• Sheridan, S. M., Edwards, C. P., Marvin, C. A., & Knoche, L. L. (2009). Professional development in early childhood programs: Process issues and research needs. Early Education and Development, 20(3), 377–401. https://doi.org/10.1080/10409280802582795
  Article Google Scholar
• Shute, V. J., Sun, C., & Asbell-Clarke, J. (2017). Demystifying computational thinking. Educational Research Review, 22, 142–158. https://doi.org/10.1016/j.edurev.2017.09.003
  Article Google Scholar
• Sims, S., Fletcher-Wood, H., O’Mara-Eves, A., Cottingham, S., Stansfield, C., Goodrich, J., Van Herwegen, J., & Anders, J. (2023). Effective teacher professional development: New theory and a meta-analytic test. Review of Educational Research, 00346543231217480. https://doi.org/10.3102/00346543231217480
• Strawhacker, A., Lee, M., & Bers, M. U. (2018). Teaching tools, teachers’ rules: Exploring the impact of teaching styles on young children’s programming knowledge in ScratchJr. International Journal of Technology and Design Education, 28(2), 347–376. https://doi.org/10.1007/s10798-017-9400-9
  Article Google Scholar
• Sullivan, A., & Bers, M. U. (2016). Robotics in the early childhood classroom: Learning outcomes from an 8-week robotics curriculum in pre-kindergarten through second grade. International Journal of Technology and Design Education, 26(1), 3–20. https://doi.org/10.1007/s10798-015-9304-5
  Article Google Scholar
• Sun, L., & Liu, J. (2024). A gender differential analysis of educational robots’ effects on primary teachers’ computational thinking: Mediating effect of programming attitudes. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12655-6
  Article Google Scholar
• Sun, L., You, X., & Zhou, D. (2023a). Evaluation and development of STEAM teachers’ computational thinking skills: Analysis of multiple influential factors. Education and Information Technologies, 28(11), 14493–14527. https://doi.org/10.1007/s10639-023-11777-7
  Article Google Scholar
• Sun, L., Kangas, M., Ruokamo, H., & Siklander, S. (2023b). A systematic literature review of teacher scaffolding in game-based learning in primary education. Educational Research Review, 40, 100546. https://doi.org/10.1016/j.edurev.2023.100546
  Article Google Scholar
• Tang, X., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers & Education, 148, 103798. https://doi.org/10.1016/j.compedu.2019.103798
  Article Google Scholar
• Tankiz, E., & Uslu, N. A. (2023). Preparing pre-service teachers for computational thinking skills and its teaching: A convergent mixed-method study. Technology Knowledge and Learning, 28(4), 1515–1537. https://doi.org/10.1007/s10758-022-09593-y
  Article Google Scholar
• Täschner, J., Dicke, T., Reinhold, S., & Holzberger, D. (2024). Yes, I can! A systematic review and meta-analysis of intervention studies promoting teacher self-efficacy. Review of Educational Research, 1–50. https://doi.org/10.3102/00346543231221499
• Tetzlaff, L., Edelsbrunner, P., Schmitterer, A., Hartmann, U., & Brod, G. (2023). Modeling interactions between multivariate learner characteristics and interventions: A person-centered approach. Educational Psychology Review, 35(4), 112. https://doi.org/10.1007/s10648-023-09830-5
  Article Google Scholar
• Tondeur, J., Scherer, R., Siddiq, F., & Baran, E. (2017). A comprehensive investigation of TPACK within pre-service teachers’ ICT profiles: Mind the gap! Australasian Journal of Educational Technology, 33(3). https://doi.org/10.14742/ajet.3504
• Tschannen-Moran, M., & Hoy, A. W. (2001). Teacher efficacy: Capturing an elusive construct. Teaching and Teacher Education, 17(7), 783–805. https://doi.org/10.1016/S0742-051X(01)00036-1
  Article Google Scholar
• Ung, L. L., Labadin, J., & Mohamad, F. S. (2022). Computational thinking for teachers: Development of a localised e-learning system. Computers & Education, 177, 104379. https://doi.org/10.1016/j.compedu.2021.104379
  Article Google Scholar
• Wang, X. C., Choi, Y., Benson, K., Eggleston, C., & Weber, D. (2021). Teacher’s role in fostering preschoolers’ computational thinking: An exploratory case study. Early Education and Development, 32(1), 26–48. https://doi.org/10.1080/10409289.2020.1759012
  Article Google Scholar
• Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35. https://doi.org/10.1145/1118178.1118215
  Article Google Scholar
• Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society A: Mathematical Physical and Engineering Sciences, 366(1881), 3717–3725. https://doi.org/10.1109/ipdps.2008.4536091
  Article MathSciNet Google Scholar
• Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J. T. (2014). Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education, 14(1), 1–16. https://doi.org/10.1145/2576872
  Article Google Scholar
• Yadav, A., Gretter, S., Good, J., & McLean, T. (2017). Computational thinking in teacher education. Emerging Research Practice and Policy on Computational Thinking, 205–220. https://doi.org/10.1007/978-3-319-52691-1_13
• Yadav, A., Krist, C., Good, J., & Caeli, E. N. (2018). Computational thinking in elementary classrooms: Measuring teacher understanding of computational ideas for teaching science. Computer Science Education, 28(4), 371–400. https://doi.org/10.1080/08993408.2018.1560550
  Article Google Scholar
• Yang, W., Wu, D., Liao, T., Wu, R., & Li, H. (2023). Ready for a technology future? Chinese preservice preschool teachers’ technological pedagogical content knowledge and its predicting factors. Journal of Research on Technology in Education, 1–19. https://doi.org/10.1080/15391523.2023.2196458
• Zeng, Y., Yang, W., & Bautista, A. (2023). Computational thinking in early childhood education: Reviewing the literature and redeveloping the three-dimensional framework. Educational Research Review, 39, 100520. https://doi.org/10.1016/j.edurev.2023.100520
  Article Google Scholar
• Zhang, L., & Nouri, J. (2019). A systematic review of learning computational thinking through scratch in K-9. Computers & Education, 141, 103607. https://doi.org/10.1016/j.compedu.2019.103607
  Article Google Scholar

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