Towards Effective Artificial Intelligence-Driven Learning in Indonesian Child Education: Understanding Parental Readiness, Challenges, and Policy Implications
Article Number: e2025155 | Published Online: April 2025 | DOI: 10.22521/edupij.2025.15.155
Sri Nurhayati , Taufikin Taufikin , Loso Judijanto , Safuri Musa
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Abstract
Background/purpose. The integration of artificial intelligence (AI) into child education presents transformative opportunities, yet Indonesian parental readiness remains insufficiently explored. This study examines parental preparedness, barriers to adoption, and policy interventions to ensure effective AI implementation in child education. Materials/methods. A mixed-methods approach was employed, involving surveys of 100 Indonesian parents to assess AI literacy, accessibility, and attitudinal challenges. In-depth interviews provided qualitative insights into socio-economic constraints and cultural apprehensions. Quantitative data were analyzed using descriptive statistics and regression modeling, while thematic analysis was applied to qualitative responses. Results. Survey findings revealed that while most parents recognized AI’s potential, their ability to support AI-integrated learning effectively remained limited. Higher education levels, digital literacy, and stable internet access were strong predictors of AI adoption readiness. However, substantial challenges persisted, including data privacy concerns, algorithmic bias apprehensions, and anxieties over reduced human interaction in learning. The practical implication of this study suggests that targeted AI literacy programs are key to empowering Indonesian parents for effective AI integration in child education. |
Conclusion. Parental readiness for AI integration in Indonesian child education remains critically limited, shaped by inadequate digital competencies, socio-economic constraints, and ethical apprehensions. This study proposes a policy agenda centered on AI literacy programs tailored to parents, accessible educational resources, equitable infrastructure, and data protection frameworks to enable responsible and inclusive AI adoption. As the first empirical mapping of Indonesian parental readiness in this domain, the study offers a globally relevant insight that underscores the urgent need to empower parents as co-navigators of AI-driven educational futures.
Keywords: Digital literacy, parental readiness, artificial intelligence, AI adoption in education
ReferencesAdiyono, A., Suwartono, T., Nurhayati, S., Dalimarta, F. F., & Wijayanti, O. (2025). Impact of Artificial Intelligence on Student Reliance for Exam Answers : A Case Study in IRCT Indonesia. International Journal of Learning, Teaching and Educational Research, 24(3), 455–479. https://doi.org/https://doi.org/10.26803/ijlter.24.3.22
Ahmed, Z. E., Hashim, A. H. A., Saeed, R. A., & Saeed, M. M. A. (2024). AI-enhanced education: Bridging educational disparities. In AI-Enhanced Teaching Methods (pp. 88–107). https://doi.org/10.4018/979-8-3693-2728-9.ch004
Al-Zahrani, A. M., & Alasmari, T. M. (2025). A comprehensive analysis of AI adoption, implementation strategies, and challenges in higher education across the Middle East and North Africa (MENA) region. Education and Information Technologies. https://doi.org/10.1007/s10639-024-13300-y
Alcala, A., Bleach, J., O’Neill, J., Kane, T., Hennessy-Mccann, E., Booth, J., Darmody, K., Pathak, P., & Stynes, P. (2024). STEM Play & Learn: A Summer Family Learning Programme in Socio-Economically Disadvantaged Communities. Proceedings - Frontiers in Education Conference, FIE. https://doi.org/10.1109/FIE61694.2024.10893101
Allen, L. K., & Kendeou, P. (2024). ED-AI Lit: An Interdisciplinary Framework for AI Literacy in Education. Policy Insights from the Behavioral and Brain Sciences, 11(1), 3–10. https://doi.org/10.1177/23727322231220339
Alnasib, B. N. M. (2023). Factors Affecting Faculty Members’ Readiness to Integrate Artificial Intelligence into Their Teaching Practices: A Study from the Saudi Higher Education Context. International Journal of Learning, Teaching and Educational Research, 22(8), 465–491. https://doi.org/10.26803/ijlter.22.8.24
Asad, M. M., Younas, S., Ali, S., Churi, P. P., & Nayyar, A. (2023). Integration of artificial intelligence in the modern classroom: Prospects for digitization in education. In AI-Assisted Special Education for Students With Exceptional Needs (pp. 110–136). https://doi.org/10.4018/979-8-3693-0378-8.ch005
Aslan, S., Durham, L. M., Alyuz, N., Chierichetti, R., Denman, P. A., Okur, E., Aguirre, D. I. G., Esquivel, J. C. Z., Cordourier Maruri, H. A., Sharma, S., Raffa, G., Mayer, R. E., & Nachman, L. (2024). What is the impact of a multi-modal pedagogical conversational AI system on parents’ concerns about technology use by young children? British Journal of Educational Technology, 55(4), 1625–1650. https://doi.org/10.1111/bjet.13399
Asunda, P., Faezipour, M., Tolemy, J., & Do Engel, M. T. (2023). Embracing Computational Thinking as an Impetus for Artificial Intelligence in Integrated STEM Disciplines through Engineering and Technology Education. Journal of Technology Education, 34(2), 43–63. https://doi.org/10.21061/jte.v34i2.a.3
Babenko, I., & Bezuglova, E. (2025). Integration of Artificial Intelligence into Teaching Methods in the Humanities and Natural Sciences. Lecture Notes in Networks and Systems, 1222 LNNS, 295–303. https://doi.org/10.1007/978-3-031-78776-8_29
Bajwa, R. S., Yunus, A., Saeed, H., & Zulfqar, A. (2024). Parenting in the age of artificial intelligence: Digital guardians. In Exploring Youth Studies in the Age of AI (pp. 44–66). https://doi.org/10.4018/979-8-3693-3350-1.ch003
Bakhadirov, M., Alasgarova, R., & Rzayev, J. (2024). Factors Influencing Teachers’ Use of Artificial Intelligence for Instructional Purposes. IAFOR Journal of Education, 12(2), 9–32. https://doi.org/10.22492/ije.12.2.01
Berghea, E. C., Ionescu, M. D., Gheorghiu, R. M., Tincu, I. F., Cobilinschi, C. O., Craiu, M., Bălgrădean, M., & Berghea, F. (2024). Integrating Artificial Intelligence in Pediatric Healthcare: Parental Perceptions and Ethical Implications. Children, 11(2). https://doi.org/10.3390/children11020240
Bosarge, E. (2024). Cultivating Tomorrow’s Innovators: Navigating the Landscape of High School AI Literacy. ASEE Annual Conference and Exposition, Conference Proceedings. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202025883&partnerID=40&md5=5c7cd3f30a7905bc774115e76843f114
Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health, 11(4), 589–597. https://doi.org/10.1080/2159676X.2019.1628806
Braun, V., & Clarke, V. (2021). Conceptual and Design Thinking for Thematic Analysis. Qualitative Psychology, 9(1), 3–26. https://doi.org/10.1037/QUP0000196
Brey, B., & van der Marel, E. (2024). The role of human-capital in artificial intelligence adoption. Economics Letters, 244. https://doi.org/10.1016/j.econlet.2024.111949
Cai, H., & Wong, G. K. W. (2024). A systematic review of studies of parental involvement in computational thinking education. Interactive Learning Environments, 32(9), 5373–5396. https://doi.org/10.1080/10494820.2023.2214185
Cai, Y., Zhang, J., Yu, C., & Wang, J. (2024). Artificial Intelligence Literacy in the Digital Intelligence Era:Connotation, Framework, and Implementation Pathways. Journal of Library Science in China, 50(4), 71–84. https://doi.org/10.13530/j.cnki.jlis.2024030
Cain, W. (2023). AI Emergence in Education: Exploring Formative Tensions Across Scholarly and Popular Discourse. Journal of Interactive Learning Research, 34(2), 239–273. https://www.learntechlib.org/p/222352/
Casal-Otero, L., Catala, A., Fernández-Morante, C., Taboada, M., Cebreiro, B., & Barro, S. (2023). AI literacy in K-12: a systematic literature review. International Journal of STEM Education, 10(1). https://doi.org/10.1186/s40594-023-00418-7
Chan, K. K.-W., & Tang, W. K.-W. (2025). Evaluating English Teachers’ Artificial Intelligence Readiness and Training Needs with a TPACK-Based Model. World Journal of English Language, 15(1), 129–145. https://doi.org/10.5430/wjel.v15n1p129
Charisi, V., Malinverni, L., Rubegni, E., & Schaper, M.-M. (2020). Empowering Children’s Critical Reflections on AI, Robotics and Other Intelligent Technologies. ACM International Conference Proceeding Series. https://doi.org/10.1145/3419249.3420090
Chee, H., Ahn, S., & Lee, J. (2024). A Competency Framework for AI Literacy: Variations by Different Learner Groups and an Implied Learning Pathway. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13556
Chen, J. J. (2024). A Scoping Study of AI Affordances in Early Childhood Education: Mapping the Global Landscape, Identifying Research Gaps, and Charting Future Research Directions. Journal of Artificial Intelligence Research, 81, 701–740. https://doi.org/10.1613/jair.1.16882
Cheng, E. C. K., & Wang, T. (2023). Leading digital transformation and eliminating barriers for teachers to incorporate artificial intelligence in basic education in Hong Kong. Computers and Education: Artificial Intelligence, 5. https://doi.org/10.1016/j.caeai.2023.100171
Chklovski, T., Jung, R., Anderson, R., & Young, K. (2021). Comparing 2 Years of Empowering Families to Solve Real-World Problems with AI. KI - Kunstliche Intelligenz, 35(2), 207–219. https://doi.org/10.1007/s13218-021-00738-2
Choudhary, H., & Bansal, N. (2022). Addressing Digital Divide through Digital Literacy Training Programs: A Systematic Literature Review. Digital Education Review, 41, 224–248. https://doi.org/10.1344/der.2022.41.224-248
Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
da Silva, M., Ferro, M., Mourão, E., Seixas, E. F. R., Viterbo, J., & Salgado, L. C. C. (2024). Ethics and AI in Higher Education: A Study on Students’ Perceptions. Lecture Notes in Networks and Systems, 932 LNNS, 149–158. https://doi.org/10.1007/978-3-031-54235-0_14
Dampitakse, K., Kungvantip, V., Jermsittiparsert, K., & Chienwattanasook, K. (2021). The impact of economic growth, financial development, financial performance and capital growth on the adoption of artificial intelligence in the asean countries. Journal of Management Information and Decision Sciences, 24(4), 1–14. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112838680&partnerID=40&md5=1c8999e82dc88622dc68b7a57dd5e2de
Fabijanić Gagro, S. (2024). ARTIFICIAL INTELLIGENCE IN EDUCATION – CURRENT CHALLENGES. Anali Pravnog Fakulteta u Beogradu, 72(4), 725–747. https://doi.org/10.51204/Anali_PFBU_24405A
Fu, Y., & Weng, Z. (2024). Navigating the ethical terrain of AI in education: A systematic review on framing responsible human-centered AI practices. Computers and Education: Artificial Intelligence, 7. https://doi.org/10.1016/j.caeai.2024.100306
Funa, A. A., & Gabay, R. A. E. (2025). Policy guidelines and recommendations on AI use in teaching and learning: A meta-synthesis study. Social Sciences and Humanities Open, 11. https://doi.org/10.1016/j.ssaho.2024.101221
Galindo-Domínguez, H., Delgado, N., Campo, L., & Losada, D. (2024). Relationship between teachers’ digital competence and attitudes towards artificial intelligence in education. International Journal of Educational Research, 126. https://doi.org/10.1016/j.ijer.2024.102381
Gallent-Torres, C., Romero, B. A., Adillón, M. V, & Foltýnek, T. (2024). Artificial Intelligence: between risks and potentialities. Praxis Educativa, 19. https://doi.org/10.5212/PraxEduc.v.19.23760.083
Gaur, A. S., Sharan, H. O., & Kumar, R. (2024). AI in Education. In The Ethical Frontier of AI and Data Analysis (pp. 39–54). https://doi.org/10.4018/979-8-3693-2964-1.ch003
Glassman, J., Humphreys, K., Yeung, S., Smith, M., Jauregui, A., Milstein, A., & Sanders, L. (2021). Parents’ Perspectives on using artificial intelligence to reduce technology interference during early childhood: Cross-sectional online survey. Journal of Medical Internet Research, 23(3). https://doi.org/10.2196/19461
Haley, L. C., Boyd, A. K., Hebballi, N. B., Reynolds, E. W., Smith, K. G., Scully, P. T., Nguyen, T. L., Bernstam, E. V, & Li, L. T. (2024). Attitudes on Artificial Intelligence use in Pediatric Care From Parents of Hospitalized Children. Journal of Surgical Research, 295, 158–167. https://doi.org/10.1016/j.jss.2023.10.027
Hossain, Z. (2025). School librarians developing AI literacy for an AI-driven future: leveraging the AI Citizenship Framework with scope and sequence. Library Hi Tech News, 42(2), 17–21. https://doi.org/10.1108/LHTN-10-2024-0186
Iryna, V. (2025). Competence of Teachers and Ethical Aspects of Implementing AI Technologies in Education. In Communications in Computer and Information Science: Vol. 2349 CCIS (pp. 397–406). https://doi.org/10.1007/978-3-031-83432-5_28
Jabali, O., & Ayyoub, A. (2024). “Smart parenting: Effortless routine engagement with AI support: A quantitative study.” Education and Information Technologies, 29(18), 25403–25425. https://doi.org/10.1007/s10639-024-12854-1
Jackaria, P. M., Hajan, B. H., Mastul, A.-R. H., & Sali, F. Z. (2024). Generation AI in a reimagined classroom: challenges, opportunities and implications to education. In Exploring Youth Studies in the Age of AI (pp. 174–185). https://doi.org/10.4018/979-8-3693-3350-1.ch009
Janardhanan, A. K., Rajamohan, K., Manu, K. S., & Rangasamy, S. (2023). Digital education for a resilient new normal using artificial intelligence—applications, challenges, and way forward. In Digital Teaching, Learning and Assessment: the Way Forward (pp. 21–44). https://doi.org/10.1016/B978-0-323-95500-3.00001-8
Jeong, J., McCoy, D. C., & Fink, G. (2017). Pathways between paternal and maternal education, caregivers’ support for learning, and early child development in 44 low- and middle-income countries. Early Childhood Research Quarterly, 41, 136–148. https://doi.org/10.1016/j.ecresq.2017.07.001
Karan, B., & Angadi, G. R. (2023). Potential Risks of Artificial Intelligence Integration into School Education: A Systematic Review. Bulletin of Science, Technology and Society, 43(3–4), 67–85. https://doi.org/10.1177/02704676231224705
Karroum, S. Y. A., & Elshaiekh, N. E. M. (2023). Digital Transformation in Education: Discovering the Barriers that Prevent Teachers from Adopting Emerging Technologies. 2023 24th International Arab Conference on Information Technology, ACIT 2023. https://doi.org/10.1109/ACIT58888.2023.10453908
Kasinidou, M., Kleanthous, S., & Otterbacher, J. (2024). “AI is a robot that knows many things”: Cypriot children’s perception of AI. Proceedings of ACM Interaction Design and Children Conference: Inclusive Happiness, IDC 2024, 897–901. https://doi.org/10.1145/3628516.3659414
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. https://doi.org/10.1080/1350293X.2021.1968458
Khalil, H., & Alsenaidi, S. (2024). Teachers’ digital competencies for effective AI integration in higher education in Oman. Journal of Education and E-Learning Research, 11(4), 698–707. https://doi.org/10.20448/jeelr.v11i4.6097
Khan, M. S., Umer, H., & Faruqe, F. (2024). Artificial intelligence for low income countries. Humanities and Social Sciences Communications, 11(1). https://doi.org/10.1057/s41599-024-03947-w
Kimmons, R., & Hall, C. (2018). How Useful are our Models? Pre-Service and Practicing Teacher Evaluations of Technology Integration Models. TechTrends, 62(1), 29–36. https://doi.org/10.1007/s11528-017-0227-8
Kočková, P., Kiliánová, K., Slepankova, M., Kostolanyova, K., & Schmid, A. (2024). AI Literacy in Teacher Education in the Czech Republic. Proceedings of the European Conference on E-Learning, ECEL, 23(1), 178–186. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215681679&partnerID=40&md5=416b395374a1a209a7daa16f0433e72d
Koravuna, S., & Surepally, U. K. (2020). Educational gamification and artificial intelligence for promoting digital literacy. ACM International Conference Proceeding Series. https://doi.org/10.1145/3415088.3415107
Kurian, N. (2025). AI’s empathy gap: The risks of conversational Artificial Intelligence for young children’s well-being and key ethical considerations for early childhood education and care. Contemporary Issues in Early Childhood, 26(1), 132–139. https://doi.org/10.1177/14639491231206004
Kuzmina, T., Podbiralina, G., & Baburina, O. (2024). Impact of artificial intelligence on sustainable development in African countries. E3S Web of Conferences, 583. https://doi.org/10.1051/e3sconf/202458308005
Li, X., & Zaki, R. (2024). Harnessing the Power of Digital Resources in Mathematics Education: The Potential of Augmented Reality and Artificial Intelligence. In EAI/Springer Innovations in Communication and Computing: Vol. Part F2195 (pp. 191–223). https://doi.org/10.1007/978-3-031-50139-5_10
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
Liu, S., & Ding, W. (2025). Artificial intelligence for children: <scp>UNICEF</scp> ’s policy guidance and beyond. Children & Society, 39(1), 374–382. https://doi.org/10.1111/chso.12915
Luo, W., He, H., Gao, M., & Li, H. (2024). Safety, Identity, Attitude, Cognition, and Capability: The ‘SIACC’ Framework of Early Childhood AI Literacy. Education Sciences, 14(8). https://doi.org/10.3390/educsci14080871
Maina, A. M., & Kuria, J. (2024). Building an AI Future: Research and Policy Directions for Africa’s Higher Education. 2024 IST-Africa Conference, IST-Africa 2024. https://doi.org/10.23919/IST-Africa63983.2024.10569692
Matthee, M., Hattingh, M., & Weilbach, L. (2017). The perception of South African parents on the use of technology in schools. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10473 LNCS, 202–207. https://doi.org/10.1007/978-3-319-66733-1_22
Moksin, S. A. H., Mat, M. Z. A., & Bakar, H. N. H. A. (2024). Fiqh Teaching Action Among Islamic Educators in Brunei Darussalam. TATHO: International Journal of Islamic Thought and Sciences, 1(3), 167–183. https://doi.org/10.70512/tatho.v1i3.9
Mouta, A., Pinto-Llorente, A. M., & Torrecilla-Sánchez, E. M. (2024). Uncovering Blind Spots in Education Ethics: Insights from a Systematic Literature Review on Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education, 34(3), 1166–1205. https://doi.org/10.1007/s40593-023-00384-9
Musa, S., Suherman, A. M., Sujarwo, S., & Nurhayati, S. (2024). Continuous Professional Growth: A Study Of Educators’ Commitment To Lifelong Learning. Jurnal Cakrawala Pendidikan, 43(2), 502–512. https://doi.org/10.21831/cp.v43i2.66654
Nurhayati, S., & Musa, S. (2025). Teaching With Purpose: Indonesian Educators’ Response to The Challenges of Society 5.0. International Conference on Research in Education and Science, ISTES, 360–372. https://www.scopus.com/record/display.uri?eid=2-s2.0-85217702992&origin=resultslist
Nurhayati, S., Noor, A. H., Musa, S., Jabar, R., & Abdu, W. J. (2022). A Digital Literacy Workshop Training Model For Child Parenting In A Fourth Industrial Era. HighTech and Innovation Journal, 3(3), 297–305. https://doi.org/http://dx.doi.org/10.21831/cp.v43i2.66654
Olari, V., Zoppke, T., Romeike, R., Reger, M., Samoilova, E., Lucke, U., Kandlhofer, M., Lieckfeld, A. S., & Dagiene, V. (2023). Introduction of Artificial Intelligence Literacy and Data Literacy in Computer Science Teacher Education. ACM International Conference Proceeding Series. https://doi.org/10.1145/3631802.3631851
Owens, M., Ravi, V., & Hunter, E. (2023). Digital Inclusion as a Lens for Equitable Parent Engagement. TechTrends. https://doi.org/10.1007/s11528-023-00859-5
Oyetade, K., & Zuva, T. (2025). Advancing Equitable Education with Inclusive AI to Mitigate Bias and Enhance Teacher Literacy. Educational Process: International Journal, 14. https://doi.org/10.22521/edupij.2025.14.87
Parviz, M. (2024). AI in education: Comparative perspectives from STEM and Non-STEM instructors. Computers and Education Open, 6. https://doi.org/10.1016/j.caeo.2024.100190
Pitrella, V., Perna, S., Allegra, M., Gentile, M., Ottaviano, S., Re, A., Tosto, C., & Città, G. (2024). Artificial Intelligence for Personalized Learning in K-12 Education. A Scoping Review. Communications in Computer and Information Science, 2076 CCIS, 372–382. https://doi.org/10.1007/978-3-031-67351-1_25
Pudjiadi, A. H., Alatas, F. S., Faizi, M., Sulistijono, E., Nency, Y. M., Julia, M., Baso, A. J. A., Hartoyo, E., Susanah, S., Wilar, R., Nugroho, H. W., Lubis, B. M., Haris, S., Suparyatha, I. B. G., Amarassaphira, D., Monica, E., & Ongko, L. (2024). Integration of Artificial Intelligence in Pediatric Education: Perspectives from Pediatric Medical Educators and Residents. Healthcare Informatics Research, 30(3), 244–252. https://doi.org/10.4258/hir.2024.30.3.244
Rizvi, M. (2023). Exploring the landscape of artificial intelligence in education: Challenges and opportunities. HORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings. https://doi.org/10.1109/HORA58378.2023.10156773
Roy, A. D., Dasgupta, S., Roy, R. D., Das, D., & Narayan, K. A. (2024). The use of generative artificial intelligence (AI) in teaching and assessment of postgraduate students in pathology and microbiology. Indian Journal of Microbiology Research, 11(3), 140–146. https://doi.org/10.18231/j.ijmr.2024.027
Salha, S., Mousa, A., & Khayat, S. (2025). Artificial Intelligence in Education (AIED) Policies in School Context: A Mixed Approach Research. Leadership and Policy in Schools, 24(1), 27–45. https://doi.org/10.1080/15700763.2024.2443675
Shamsuddinova, S., Heryani, P., & Naval, M. A. (2024). Evolution to revolution: Critical exploration of educators’ perceptions of the impact of Artificial Intelligence (AI) on the teaching and learning process in the GCC region. International Journal of Educational Research, 125. https://doi.org/10.1016/j.ijer.2024.102326
Sharma, R., Kumar, P., Singh, D. K., Suri, D., Rajput, P., & Kumar, S. (2024). The Intersection of AI, Ethics, and Education: A Bibliometric Analysis. ICCDS 2024 - International Conference on Computing and Data Science. https://doi.org/10.1109/ICCDS60734.2024.10560363
Shwedeh, F., Salloum, S. A., Aburayya, A., Fatin, B., Elbadawi, M. A., Al Ghurabli, Z., & Al Dabbagh, T. (2024). AI Adoption and Educational Sustainability in Higher Education in the UAE. In Studies in Big Data (Vol. 144, pp. 201–229). https://doi.org/10.1007/978-3-031-52280-2_14
Solyst, J., Yang, E., Xie, S., Ogan, A., Hammer, J., & Eslami, M. (2023). The Potential of Diverse Youth as Stakeholders in Identifying and Mitigating Algorithmic Bias for a Future of Fairer AI. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW2). https://doi.org/10.1145/3610213
Su, J. (2024). Development and validation of an artificial intelligence literacy assessment for kindergarten children. Education and Information Technologies, 29(16), 21811–21831. https://doi.org/10.1007/s10639-024-12611-4
Su, J. (2025). Kindergarten parents’ perceptions of the use of AI technologies and AI literacy education: Positive views but practical concerns. Education and Information Technologies, 30(1), 279–295. https://doi.org/10.1007/s10639-024-12673-4
Tan, X., Cheng, G., & Ling, M. H. (2025). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2024.100355
Von Winckelmann, S., Henry, M., & Mackenzie, A. (2024). Empowering Educators: A Case Study on Establishing AI Competency and Confidence. In Artificial Intelligence Applications in K-12: Theories, Ethics, and Case Studies for Schools (pp. 155–170). https://doi.org/10.4324/9781003440192-10
Voulgari, I., Zammit, M., Stouraitis, E., Liapis, A., & Yannakakis, G. (2021). Learn to Machine Learn: Designing a Game Based Approach for Teaching Machine Learning to Primary and Secondary Education Students. Proceedings of Interaction Design and Children, IDC 2021, 593–598. https://doi.org/10.1145/3459990.3465176
Wang, W. (2023). The Application of Friend Recommendation Algorithm in the Design of Traditional Handicraft Art Communication Platform. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns.2023.2.00372
Xia, X. (2024). Parental involvement and Chinese children’s cognitive and social-emotional school readiness: Differential effects across family socioeconomic status. Children and Youth Services Review, 161, 107647. https://doi.org/10.1016/j.childyouth.2024.107647
Yi, H., Liu, T., & Lan, G. (2024). The key artificial intelligence technologies in early childhood education: a review. Artificial Intelligence Review, 57(1). https://doi.org/10.1007/s10462-023-10637-7
Yue Yim, I. H. (2024). A critical review of teaching and learning artificial intelligence (AI) literacy: Developing an intelligence-based AI literacy framework for primary school education. Computers and Education: Artificial Intelligence, 7. https://doi.org/10.1016/j.caeai.2024.100319
Zhang, C., Hu, M., Wu, W., Kamran, F., & Wang, X. (2025). Unpacking perceived risks and AI trust influences pre-service teachers’ AI acceptance: A structural equation modeling-based multi-group analysis. Education and Information Technologies, 30(2), 2645–2672. https://doi.org/10.1007/s10639-024-12905-7