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The effects of pre-service early childhood teachers’ digital literacy and self-efficacy on their perception of AI education for young children

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Abstract

This study explores the effects of pre-service teachers’ digital literacy and self-efficacy on their perception of AI education for young children in early childhood education settings. Digital literacy refers to the ability to communicate with others by using digital technology, including the ability for sharing knowledge and information after user’s creation. A survey was conducted on 212 pre-service early childhood teachers at two Universities located in the eastern United States, and the collected data were analyzed by descriptive statistics, correlation analysis, and hierarchical multiple regression. As a result of the study, first, pre-service teachers had high critical thinking among the sub-factors of digital literacy, but relatively low problem-solving skills. Second, the relationship between digital literacy, self-efficacy, and the perception of AI education for young children showed a positive correlation. Third, among the sub-factors of digital literacy of pre-service early childhood teachers, technical application, learning interaction, and problem-solving with teachers’ self-efficacy were found to have a significant effect on the perception of AI education for young children. This study proposes that developing a pre-service teacher education program that can improve their digital literacy and self-efficacy is necessary for guiding early childhood teachers to use artificial intelligence technology with young children in early childhood education classrooms in educationally meaningful ways.

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Data Availability Statement (DAS)

The datasets generated and analyzed during the current study are not publicly available to preserve research participants’ privacy but are available from the corresponding author on reasonable request..

References

  • Ali, S., DiPaola, D., Lee, I., Sindato, V., Kim, G., Blumofe, R., & Breazeal, C. (2021). Children as creators, thinkers and citizens in an AI-driven future. Computers and Education: Artificial Intelligence, 2. https://doi.org/10.1016/j.caeai.2021.100040

  • Angeli, C., & Valanides, N. (2009). Epistemological and methodological issues for the conceptualization, development, and assessment of ICT-TPCK: Advances in technological pedagogical content knowledge(TPCK). Computers & Education, 52, 154–168.

    Google Scholar 

  • Bandura, A. (1989). Regulation of cognitive process though perceived self-efficacy. Developmental Psychology, 25(5), 729–735.

    Google Scholar 

  • Bandura, A., & Schunk, D. H. (1981). Cultivating competence, self-efficacy, and intrinsic through proximal self-motivation. Journal of Personality and Social Psychology, 41(3), 586–598.

    Google Scholar 

  • Bereiter, C., & Scardamalia, M. (2014). Knowledge building and knowledge creation: One concept, two hills to climb. In S. C. Tan, H. J. So, & J. Yeo (Eds.), Knowledge creation in education (pp. 35–52). Springer.

    Google Scholar 

  • Bird, J. J., & Edwards, S. (2015). Children learning to use technologies through play: A digital play framework. British Journal of Educational Technology, 46(6), 1149–1160.

    Google Scholar 

  • Breakstone, J., McGrew, S., Smith, M., Ortega, T., & Sam, W. (2018). Why we need a new approach to teaching digital literacy. Phi Delta Kappa, 99(6), 27–32.

    Google Scholar 

  • Brown, R. H., Barram, D. J., & Irving, L. (1995). Falling through the net: A survey of the have nots in rural and urban America. U.S. Department of Commerce.

    Google Scholar 

  • Chen, C., Tang, Y., Xie, T., & Druga, S. (2019). The humming box: AI-powered tangible music toy for children. The Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, 87–95.

  • Cullen, T. A., & Greencem, B. A. (2011). Pre-service teachers’ beliefs, attitudes, and motivation about technology integration. Journal of Educational Computing Research, 45(1), 29–47.

    Google Scholar 

  • Damşa, C. I., Kirschner, P. A., Andriessen, J. E. B., Erkens, G., & Sins, P. H. M. (2010). Shared epistemic agency: An empirical study of an emergent construct. Journal of the Learning Sciences, 19(2), 143–186.

    Google Scholar 

  • De Jong, P. F. (1999). Hierarchical regression analysis in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 6(2), 198–211. https://doi.org/10.1080/10705519909540128

    Article  Google Scholar 

  • Denninng, P. J., & Tedre, M. (2019). Computational thinking. MIT Press.

    Google Scholar 

  • Enochs, L. G., & Riggs, I. M. (1990). Toward the development of an efficacy belief instrument for elementary teachers. Science Education, 79(1), 63–75.

    Google Scholar 

  • Fernández, M., Wegerif, R., Mercer, N., & Rojas-Drummond, S. (2009). Re-conceptualizing “scaffolding” and the zone of proximal development in the context of symmetrical collaborative learning. The Journal of Classroom Interaction, 50(1), 54–72.

    Google Scholar 

  • Finn, J. (1960). Automation and education: III. Technology and instructional process. Audio Visual Communication Review, 8(1), 5–26.

    Google Scholar 

  • Gibson, S., & Dembo, M. H. (1984). Teacher efficacy: A construct validation. Journal of Educational Psychology, 76, 569–582.

    Google Scholar 

  • Gilster, P. (1997). Digital literacy. Wiley.

    Google Scholar 

  • Hakkarainen, K. (2009). A knowledge-practice perspective on technology-mediated learning. International Journal of Computer-Supported Collaborative Learning, 4, 213–231.

    Google Scholar 

  • Hsu, T.-C., Abelson, H., Patton, E., Chen, S.-C., & Chang, H.-N. (2022). Self-efficacy and behavior patterns of learners using a real-time collaboration system developed for group programming. International Journal of Computer-Supported Collaborative Learning. https://doi.org/10.1007/s11412-021-09357-3

    Article  Google Scholar 

  • Joo, Y. J., Bong, M., & Choi, H. J. (2000). Self-efficacy for self-regulated learning, academic self-efficacy, and internet self-efficacy in web-based instruction. Educational Technology Research and Development, 48(2), 5–17.

    Google Scholar 

  • Kajamaa, A., & Kumpulainen, K. (2020). Students’ multimodal knowledge practices in a makerspace learning environment. International Journal of Computer-Supported Collaborative Learning, 15(4), 411–444.

    Google Scholar 

  • Keengwe, J., & Onchwari, G. (2009). Technology and early childhood education: A technology integration professional development model for practicing teachers. Early Childhood Education Journal, 37, 209–218.

    Google Scholar 

  • Kewalramani, S., Kidman, G., & Palaiologou, I. (2021). Using Artificial Intelligence (AI)-interfaced robotic toys in early childhood settings: A case for children’s inquiry literacy. European Early Childhood Education Research Journal, 29(5), 652–668.

    Google Scholar 

  • Kim, C. M., Kim, M. K., Lee, C., Spector, J. M., & DeMeester, K. (2013). Teacher beliefs and technology integration. Teaching and Teacher Education, 29, 76–85.

    Google Scholar 

  • Kline, R. B. (2011). Principles and practice of structural equation modelling. Guilford Press.

    MATH  Google Scholar 

  • Koehler, M. J., & Mishra, P. (2009). What is technological pedagogical content knowledge? Contemporary Issues in Technology and Teacher Education, 9(1), 60–70.

    Google Scholar 

  • Kress, G. (2010). Multimodality – A social semiotic approach to contemporary communication. Routledge.

    Google Scholar 

  • Langub, L. W., & Lokey-Vega, A. (2017). Rethinking instructional technology to improve pedagogy for digital literacy: A design case in a graduate early childhood education course. TechTrends, 61, 322–330.

    Google Scholar 

  • Lim, E. M. (2012). Patterns of kindergarten children’s social interaction with peers in the computer area. International Journal of Computer-Supported Collaborative Learning, 7(3), 399–421.

    Google Scholar 

  • Lim, E. M. (2015). Factors influencing young children’s social interaction in technology integration. European Early Childhood Education Research Journal, 23(4), 545–562.

    Google Scholar 

  • Marsh, J. (2020). Researching the digital literacy and multimodal practices of young children. A European agenda for change. In O. Erstad, R. Flewitt, B. Kümmerling-Meibauer, & S. P. Pereira (Eds.), The Routledge handbook of digital literacies in early childhood (pp. 19–30). Routledge.

    Google Scholar 

  • Mercer, N., Hennessy, S., & Warwick, P. (2019). Dialogue, thinking together and digital technology in the classroom: Some educational implications of a continuing line of inquiry. International Journal of Educational Research, 97, 187–199.

    Google Scholar 

  • Miettinen, R. (2006). Epistemology of material transformative activity: John Dewey’s pragmatism and cultural-historical activity theory. Journal for the Theory of Social Behaviour, 36(4), 389–408.

    Google Scholar 

  • Miettinen, R., & Paavola, S. (2016). Reconceptualizing object construction: The dynamics of building information Modelling in construction design. Information Systems Journal, 28(3), 516–531.

    Google Scholar 

  • National Association for the Education of Young Children. (2012). Technology and interactive media as tools in early childhood programs serving children from birth through age 8. Retrieved from http://www.naeyc.org/files/naeyc/file/positions/PS_technology_WEB2.pdf. Accessed 8 Jan 2022

  • Nelson, K., Courier, M., & Joseph, G. W. (2011). Teaching tip: An investigation of digital literacy needs of students. Journal of Information Systems Education, 22(2), 95–109.

    Google Scholar 

  • OECD. (2017). Starting strong V: Transitions from early childhood education and care to primary education. OECD Publishing. https://doi.org/10.1787/9789264276253-en

    Book  Google Scholar 

  • Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2. https://doi.org/10.1016/j.caeai.2021.100020

  • Plowman, L., McPake, J., & Stephen, C. (2012). Extending opportunities for learning. The role of digital media in early education. In S. Suggate & E. Reese (Eds.), Contemporary debates in childhood education and development (pp. 95–104). Routledge.

    Google Scholar 

  • Shulager, M. S., & Fusco, J. (2003). Teacher professional development, technology and communities of practice. Are we putting the cart before the horse? Information Society, 19, 203–230.

    Google Scholar 

  • Siraj-Blatchford, I., & Sylva, K. (2004). Researching pedagogy in English preschools. British Educational Research Journal, 30(5), 713–730.

    Google Scholar 

  • Sylva, K., Melhuish, E., Sammons, P., Siraj-Blatchford, I., & Taggart, B. (2004). The effective provision of preschool education(EPPE) project: A longitudinal study. University of London.

    Google Scholar 

  • Tang, Y. M., Chau, K. Y., Kwok, A. P. K., Zhu, T., & Ma, X. (2021). A systematic review of immersive technology applications for medical practice and education-Trends, application areas, recipients, teaching contents, evaluation methods, and performance. Educational Research Review, 35. https://doi.org/10.1016/j.edurev.2021.100429

  • Vartiainen, H., Tedre, M., & Valtonen, T. (2020). Learning machine learning with very young children: Who is teaching whom? International Journal of Child-Computer Interaction, 25. https://doi.org/10.1016/j.ijcci.2020.100182

  • Vygotsky, L. S. (1978). Mind in society: The development of higher mental processes. Harvard University Press.

    Google Scholar 

  • Vygotsky, L. (1986). Thought and language. Massachusetts Institute of Technology.

    Google Scholar 

  • Wegerif, R. (1996). Using computers to help coach exploratory talk across the curriculum. Computers and Education, 26(1–3), 51–60.

    Google Scholar 

  • Wertsch, J. V. (1991). Voices of the mind. Harvester.

    Google Scholar 

  • Yang, M., & Kim, J. (2016). Development a scale for e-Learning digital literacy. The Journal of Educational Information and Media, 22(3), 485–507.

    Google Scholar 

  • Yeh, Y., Yeh, Y., & Chen, Y.-H. (2012). From knowledge sharing to knowledge creation: A blended knowledge-management model for improving university students’ creativity. Thinking Skills and Creativity, 7(3), 245–257.

    Google Scholar 

  • Zhang, J. W., Scardamalia, M., Reeve, R., & Messina, R. (2009). Designs for collective cognitive responsibility in knowledge-building communities. Journal of the Learning Sciences, 18(1), 7–44.

    Google Scholar 

  • Zhang, J. W., Tao, D., Chen, M.-H., Sun, Y., Judson, D., & Naqvi, S. (2018). Co-organizing the collective journey of inquiry with idea thread mapper. Journal of the Learning Sciences, 27(3), 390–430.

    Google Scholar 

  • Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence, 2. https://doi.org/10.1016/j.caeai.2021.100025

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  1. Department of Early Childhood Education, Sungkyul University, Anyang-si, Gyeonggi-do, 14097, South Korea

    Eun Mee Lim

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Lim, E.M. The effects of pre-service early childhood teachers’ digital literacy and self-efficacy on their perception of AI education for young children. Educ Inf Technol 28, 12969–12995 (2023). https://doi.org/10.1007/s10639-023-11724-6

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