Artificial Intelligence in Early Childhood Education: Effects and Interactions' Importance: A Conceptual Model.
References
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10. Chang, S.-C., Tein, S.-W., Lee, H.-M., 2010. Social capital, creativity, and new product advantage: An empirical study. International Journal of Electronic Business Management 8, 43.
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12. Deng, J., Zhang, Z., Marchi, E., Schuller, B., 2013. Sparse autoencoder-based feature transfer learning for speech emotion recognition, in: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction. IEEE, pp. 511–516.
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16. Holmes, W., Bialik, M., Fadel, C., 2023. Artificial intelligence in education. Globethics Publications.
17. Hwang, G.-J., Tu, Y.-F., 2021. Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics 9, 584.
18. Im, S., Montoya, M.M., Workman, J.P., 2013. Antecedents and Consequences of Creativity in Product Innovation Teams. J of Product Innov Manag 30, 170–185. https://doi.org/10.1111/j.1540-5885.2012.00887.x
19. Jantakun, T., Jantakun, K., Jantakoon, T., 2021. A Common Framework for Artificial Intelligence in Higher Education (AAI-HE Mode). International Education Studies 14, 94–103.
20. Kaplan, A., Haenlein, M., 2019. Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business horizons 62,15–25.
21. 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, 652–668.
https://doi.org/10.1080/1350293X.2021.1968458
22. Kim, Seonghun, Jang, Y., Kim, W., Choi, S., Jung, H., Kim, Soohwan, Kim, H., 2021. Why and what to teach: AI curriculum for elementary school, in: Proceedings of the AAAI Conference on Artificial Intelligence. pp.15569–15576.
23. LaFrance, A.E., 2016. Helping students cultivate soft skills. Diakses pada 15.
24. Li, J., Li, P., Niu, W., 2020. Artificial intelligence applications in upper gastrointestinal cancers. The Lancet Oncology 21, e4.
25. Lin, P., Van Brummelen, J., Lukin, G., Williams, R., Breazeal, C., 2020. Zhorai: Designing conversational agent for children to explore machine learning concepts, in: Proceedings of the AAAI Conference on Artificial Intelligence. pp. 13381–13388.
26. Massaro, D.W., Bosseler, A., 2006. Read my lips: The importance of the face in a computer-animated tutor for vocabulary learning by children with autism. Autism 10, 495–510.https://doi.org/10.1177/1362361306066599
27. McCarthy, J. (2007). From here to human-level AI. Artificial Intelligence, 171(18), 1174-1182.
28. Mondal, B., 2020. Artificial Intelligence: State of the Art, in: Balas, V.E., Kumar, R., Srivastava, R. (Eds.), Recent Trends and Advances in Artificial Intelligence and Internet of Things, Intelligent Systems Reference Library. Springer International Publishing, Cham, pp. 389–425.
29. Mousavinasab, E., Zarifsanaiey, N., R. Niakan Kalhori, S., Rakhshan, M., Keikha, L., Ghazi Saeedi, M., 2021. Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods. Interactive Learning Environments 29, 142–163.
https://doi.org/10.1080/10494820.2018.1558257
30. Ng, D.T.K., Su, J., Leung, J.K.L., Chu, S.K.W., 2023. Artificial intelligence (AI) literacy education in secondary schools: a review. Interactive Learning Environments 0, 1–21.
https://doi.org/10.1080/10494820.2023.2255228
31. Nilsson, N.J., 1998. Artificial intelligence: a new synthesis. Morgan Kaufmann.
32. Peters, M.A., Reveley, J., 2015. Noosphere rising: Internet-based collective intelligence, creative labor, and social production. Thesis Eleven 130, 3–21. https://doi.org/10.1177/0725513615575932
33. Rahman, M.M., Antani, S.K., Thoma, G.R., 2011. A learning-based similarity fusion and filtering approach for biomedical image retrieval using SVM classification and relevance feedback. IEEE Transactions on information technology in biomedicine 15, 640–646.
34. Russell, S., Norvig, P., 2010. Intelligence artificielle: Avec plus de 500 exercices. Pearson Education France.
35. Salisu, I., Abdullah, A.A., Mashi, M.S., Alam, M.M., Hashim, N., 2022. Influences of creativity and resource availability in the intelligent career framework: empirical investigation of Nigerian entrepreneurs. Journal of Entrepreneurship in Emerging Economies 14, 1325–1352.
36. Sawyer, R.K., 2011. Structure and improvisation in creative teaching. Cambridge University Press.
37. Smith, R.E., Yang, X., 2004. Toward a General Theory of Creativity in Advertising: Examining the Role of Divergence. Marketing Theory 4, 31–58. https://doi.org/10.1177/1470593104044086
38. Su, J., Yang, W., 2022. Artificial intelligence in early childhood education: A scoping review. Computers and Education: Artificial Intelligence 3, 100049. https://doi.org/10.1016/j.caeai.2022.100049.
39. Su, Jiahong & Ng, Davy Tsz Kit & Chu, Samuel., 2023. Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities. Computers and Education Artificial Intelligence. 4. https://doi.org/10.1016/j.caeai.2023.100124
40. Torrey, L., 2012. Teaching problem-solving in algorithms and AI, in: Proceedings of the AAAI Conference on Artificial Intelligence. pp. 2363–2367
41. 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, 100182. https://doi.org/10.1016/j.ijcci.2020.100182
42. Vitrano, D., Altarriba, J., Leblebici‐Basar, D., 2021. Revisiting Mednick’s (1962) Theory of Creativity with a Composite Measure of Creativity: The Effect of Stimulus Type on Word Association Production. Journal of Creative Behavior 55, 925–936. https://doi.org/10.1002/jocb.498.
43. Wang, P., 2019. On defining artificial intelligence. Journal of Artificial General Intelligence 10, 1–37.
44. Williams, R., Park, H.W., Breazeal, C., 2019. A is for Artificial Intelligence: The Impact of Artificial Intelligence Activities on Young Children’s Perceptions of Robots, in: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Presented at the CHI ’19: CHI Conference on Human Factors in Computing Systems, ACM, Glasgow Scotland Uk, pp. 1–11.
https://doi.org/10.1145/3290605.3300677
45. Xieling Chen, Haoran Xie, Di Zou, Gwo-Jen Hwang.(2020). Application and theory gaps during the rise of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence,1(4) ,1 – 20.
46. Xu, Y., Liu, Xin, Cao, X., Huang, C., Liu, E., Qian, S., Liu, Xingchen, Wu, Y., Dong, F., Qiu, C.-W.( 2021). Artificial intelligence: A powerful paradigm for scientific research. The Innovation 2.
47. Xu, W., Ouyang, F., 2022. The application of AI technologies in STEM education: a systematic review from 2011 to 2021. IJ STEM Ed 9, 59. https://doi.org/10.1186/s40594-022-00377-5.
48. Xu, Y., Liu, Xin, Cao, X., Huang, C., Liu, E., Qian, S., Liu, Xingchen, Wu, Y., Dong, F., Qiu, C.-W., 2021. Artificial intelligence: A powerful paradigm for scientific research, the Innovation ,2(4), 1 – 21.
49. Yahya Fikri , Mohammed Rhalma., 2024. Artificial Intelligence (AI) in Early Childhood Education (ECE): Do Effects and Interactions Matter?. International Journal of Religion ,5(11), 7536 – 7545.
50. Yang, W., 2022. Artificial Intelligence education for young children: Why, what, and how in curriculum design and implementation. Computers and Education: Artificial Intelligence 3, 100061.
51. Zawacki-Richter, O., Marín, V.I., Bond, M., Gouverneur, F., 2019. Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education 16, 1–27.
52. Zhai, X., Chu, X., Chai, C.S., Jong, M.S.Y., Istenic, A., Spector, M., Liu, J.-B., Yuan, J., Li, Y., 2021. A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity 2021, 1–18.
53. Zhang, K., Aslan, A.B., 2021. AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence 2, 100025.
54. Zhang, X., Pi, Z., Zhao, R., Bai, H., Hu, W., Wei, X., Cai, N., Zhang, L., 2022. Task motivation enhances creative performance in online groups, but not interpersonal interaction. Interactive Learning Environments1–18. https://doi.org/10.1080/10494820.2022.2061008
55. Zheng, L., Niu, J., Zhong, L., Gyasi, J.F., 2021. The effectiveness of artificial intelligence on learning achievement and learning perception: A meta-analysis. Interactive Learning Environments 1–15.
https://doi.org/10.1080/10494820.2021.2015693
56. Zheng, X., Dan, C., Aragam, B., Ravikumar, P., Xing, E., 2020. Learning sparse nonparametric dags, in: International Conference on Artificial Intelligence and Statistics. PMLR, pp. 3414–3425.
57. Zhu, H., 2020. Big Data and Artificial Intelligence Modeling for Drug Discovery. Annu. Rev. Pharmacol. Toxicol. 60, 573–589.
https://doi.org/10.1146/annurev-pharmtox-010919-023324.
2. Ali, S., Payne, B.H., Williams, R., Park, H.W., Breazeal, C., 2019. Constructionism, ethics, and creativity: Developing primary and middle school artificial intelligence education, in: International Workshop on Education in Artificial Intelligence K-12 (Eduai’19). pp. 1–4.
3. Amabile, T.M., 1983. The social psychology of creativity: A componential conceptualization. Journal of personality and social psychology 45, 357.
4. Baker, R.S., 2016. Stupid Tutoring Systems, Intelligent Humans. Int J Artif Intell Educ 26, 600–614. https://doi.org/10.1007/s40593-016-0105-0
5. Baker, T., Smith, L., 2019. Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Retrieved from Nesta Foundation.
6. Batiibwe, M.S.K., 2019. Using Cultural Historical Activity Theory to understand how emerging technologies can mediate teaching and learning in a mathematics classroom: a review of literature. RPTEL 14, 12. https://doi.org/10.1186/s41039-019-0110-7
7. Berendt, B., Littlejohn, A., Blakemore, M., 2020. AI in education: learner choice and fundamental rights. Learning, Media and Technology 45, 312–324. https://doi.org/10.1080/17439884.2020.1786399
8. Bocconi, S., Chioccariello, A., Kampylis, P., Dagienė, V., Wastiau, P., Engelhardt, K., Earp, J., Horvath, M., Jasutė, E., Malagoli, C., 2022. Reviewing computational thinking in compulsory education: State of play and practices from computing education.
9. Braun, A., März, A., Mertens, F., Nisser, A., 2020. Rethinking education in the digital age. European Parliamentary Research Service.
10. Chang, S.-C., Tein, S.-W., Lee, H.-M., 2010. Social capital, creativity, and new product advantage: An empirical study. International Journal of Electronic Business Management 8, 43.
11. Crescenzi-Lanna, L., 2023. Literature review of the reciprocal value of artificial and human intelligence in early childhood education. Journal of Research on Technology in Education 55, 21–33. https://doi.org/10.1080/15391523.2022.2128480
12. Deng, J., Zhang, Z., Marchi, E., Schuller, B., 2013. Sparse autoencoder-based feature transfer learning for speech emotion recognition, in: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction. IEEE, pp. 511–516.
13. Epstein, R., 1991. Skinner, Creativity, and the Problem of Spontaneous Behavior. Psychol Sci 2, 362–370. https://doi.org/10.1111/j.1467-9280.1991.tb00168.x
14. Ferrari, A., Punie, Y., Redecker, C., 2012. Understanding digital competence in the 21st century: An analysis of current frameworks, in: European Conference on Technology Enhanced Learning. Springer, pp. 79–92.
15. Göçen, Ahmet & Aydemir, Fatih. (2020). Artificial Intelligence in Education and Schools. Research on Education and Media,12(1), 13-21. http://dx.doi.org/10.2478/rem-2020-0003
16. Holmes, W., Bialik, M., Fadel, C., 2023. Artificial intelligence in education. Globethics Publications.
17. Hwang, G.-J., Tu, Y.-F., 2021. Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics 9, 584.
18. Im, S., Montoya, M.M., Workman, J.P., 2013. Antecedents and Consequences of Creativity in Product Innovation Teams. J of Product Innov Manag 30, 170–185. https://doi.org/10.1111/j.1540-5885.2012.00887.x
19. Jantakun, T., Jantakun, K., Jantakoon, T., 2021. A Common Framework for Artificial Intelligence in Higher Education (AAI-HE Mode). International Education Studies 14, 94–103.
20. Kaplan, A., Haenlein, M., 2019. Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business horizons 62,15–25.
21. 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, 652–668.
https://doi.org/10.1080/1350293X.2021.1968458
22. Kim, Seonghun, Jang, Y., Kim, W., Choi, S., Jung, H., Kim, Soohwan, Kim, H., 2021. Why and what to teach: AI curriculum for elementary school, in: Proceedings of the AAAI Conference on Artificial Intelligence. pp.15569–15576.
23. LaFrance, A.E., 2016. Helping students cultivate soft skills. Diakses pada 15.
24. Li, J., Li, P., Niu, W., 2020. Artificial intelligence applications in upper gastrointestinal cancers. The Lancet Oncology 21, e4.
25. Lin, P., Van Brummelen, J., Lukin, G., Williams, R., Breazeal, C., 2020. Zhorai: Designing conversational agent for children to explore machine learning concepts, in: Proceedings of the AAAI Conference on Artificial Intelligence. pp. 13381–13388.
26. Massaro, D.W., Bosseler, A., 2006. Read my lips: The importance of the face in a computer-animated tutor for vocabulary learning by children with autism. Autism 10, 495–510.https://doi.org/10.1177/1362361306066599
27. McCarthy, J. (2007). From here to human-level AI. Artificial Intelligence, 171(18), 1174-1182.
28. Mondal, B., 2020. Artificial Intelligence: State of the Art, in: Balas, V.E., Kumar, R., Srivastava, R. (Eds.), Recent Trends and Advances in Artificial Intelligence and Internet of Things, Intelligent Systems Reference Library. Springer International Publishing, Cham, pp. 389–425.
29. Mousavinasab, E., Zarifsanaiey, N., R. Niakan Kalhori, S., Rakhshan, M., Keikha, L., Ghazi Saeedi, M., 2021. Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods. Interactive Learning Environments 29, 142–163.
https://doi.org/10.1080/10494820.2018.1558257
30. Ng, D.T.K., Su, J., Leung, J.K.L., Chu, S.K.W., 2023. Artificial intelligence (AI) literacy education in secondary schools: a review. Interactive Learning Environments 0, 1–21.
https://doi.org/10.1080/10494820.2023.2255228
31. Nilsson, N.J., 1998. Artificial intelligence: a new synthesis. Morgan Kaufmann.
32. Peters, M.A., Reveley, J., 2015. Noosphere rising: Internet-based collective intelligence, creative labor, and social production. Thesis Eleven 130, 3–21. https://doi.org/10.1177/0725513615575932
33. Rahman, M.M., Antani, S.K., Thoma, G.R., 2011. A learning-based similarity fusion and filtering approach for biomedical image retrieval using SVM classification and relevance feedback. IEEE Transactions on information technology in biomedicine 15, 640–646.
34. Russell, S., Norvig, P., 2010. Intelligence artificielle: Avec plus de 500 exercices. Pearson Education France.
35. Salisu, I., Abdullah, A.A., Mashi, M.S., Alam, M.M., Hashim, N., 2022. Influences of creativity and resource availability in the intelligent career framework: empirical investigation of Nigerian entrepreneurs. Journal of Entrepreneurship in Emerging Economies 14, 1325–1352.
36. Sawyer, R.K., 2011. Structure and improvisation in creative teaching. Cambridge University Press.
37. Smith, R.E., Yang, X., 2004. Toward a General Theory of Creativity in Advertising: Examining the Role of Divergence. Marketing Theory 4, 31–58. https://doi.org/10.1177/1470593104044086
38. Su, J., Yang, W., 2022. Artificial intelligence in early childhood education: A scoping review. Computers and Education: Artificial Intelligence 3, 100049. https://doi.org/10.1016/j.caeai.2022.100049.
39. Su, Jiahong & Ng, Davy Tsz Kit & Chu, Samuel., 2023. Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities. Computers and Education Artificial Intelligence. 4. https://doi.org/10.1016/j.caeai.2023.100124
40. Torrey, L., 2012. Teaching problem-solving in algorithms and AI, in: Proceedings of the AAAI Conference on Artificial Intelligence. pp. 2363–2367
41. 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, 100182. https://doi.org/10.1016/j.ijcci.2020.100182
42. Vitrano, D., Altarriba, J., Leblebici‐Basar, D., 2021. Revisiting Mednick’s (1962) Theory of Creativity with a Composite Measure of Creativity: The Effect of Stimulus Type on Word Association Production. Journal of Creative Behavior 55, 925–936. https://doi.org/10.1002/jocb.498.
43. Wang, P., 2019. On defining artificial intelligence. Journal of Artificial General Intelligence 10, 1–37.
44. Williams, R., Park, H.W., Breazeal, C., 2019. A is for Artificial Intelligence: The Impact of Artificial Intelligence Activities on Young Children’s Perceptions of Robots, in: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. Presented at the CHI ’19: CHI Conference on Human Factors in Computing Systems, ACM, Glasgow Scotland Uk, pp. 1–11.
https://doi.org/10.1145/3290605.3300677
45. Xieling Chen, Haoran Xie, Di Zou, Gwo-Jen Hwang.(2020). Application and theory gaps during the rise of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence,1(4) ,1 – 20.
46. Xu, Y., Liu, Xin, Cao, X., Huang, C., Liu, E., Qian, S., Liu, Xingchen, Wu, Y., Dong, F., Qiu, C.-W.( 2021). Artificial intelligence: A powerful paradigm for scientific research. The Innovation 2.
47. Xu, W., Ouyang, F., 2022. The application of AI technologies in STEM education: a systematic review from 2011 to 2021. IJ STEM Ed 9, 59. https://doi.org/10.1186/s40594-022-00377-5.
48. Xu, Y., Liu, Xin, Cao, X., Huang, C., Liu, E., Qian, S., Liu, Xingchen, Wu, Y., Dong, F., Qiu, C.-W., 2021. Artificial intelligence: A powerful paradigm for scientific research, the Innovation ,2(4), 1 – 21.
49. Yahya Fikri , Mohammed Rhalma., 2024. Artificial Intelligence (AI) in Early Childhood Education (ECE): Do Effects and Interactions Matter?. International Journal of Religion ,5(11), 7536 – 7545.
50. Yang, W., 2022. Artificial Intelligence education for young children: Why, what, and how in curriculum design and implementation. Computers and Education: Artificial Intelligence 3, 100061.
51. Zawacki-Richter, O., Marín, V.I., Bond, M., Gouverneur, F., 2019. Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education 16, 1–27.
52. Zhai, X., Chu, X., Chai, C.S., Jong, M.S.Y., Istenic, A., Spector, M., Liu, J.-B., Yuan, J., Li, Y., 2021. A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity 2021, 1–18.
53. Zhang, K., Aslan, A.B., 2021. AI technologies for education: Recent research & future directions. Computers and Education: Artificial Intelligence 2, 100025.
54. Zhang, X., Pi, Z., Zhao, R., Bai, H., Hu, W., Wei, X., Cai, N., Zhang, L., 2022. Task motivation enhances creative performance in online groups, but not interpersonal interaction. Interactive Learning Environments1–18. https://doi.org/10.1080/10494820.2022.2061008
55. Zheng, L., Niu, J., Zhong, L., Gyasi, J.F., 2021. The effectiveness of artificial intelligence on learning achievement and learning perception: A meta-analysis. Interactive Learning Environments 1–15.
https://doi.org/10.1080/10494820.2021.2015693
56. Zheng, X., Dan, C., Aragam, B., Ravikumar, P., Xing, E., 2020. Learning sparse nonparametric dags, in: International Conference on Artificial Intelligence and Statistics. PMLR, pp. 3414–3425.
57. Zhu, H., 2020. Big Data and Artificial Intelligence Modeling for Drug Discovery. Annu. Rev. Pharmacol. Toxicol. 60, 573–589.
https://doi.org/10.1146/annurev-pharmtox-010919-023324.
Authors
[1]
“Artificial Intelligence in Early Childhood Education: Effects and Interactions’ Importance: A Conceptual Model”., Soc. sci. humanities j., vol. 9, no. 01, pp. 6522–6532, Jan. 2025, doi: 10.18535/sshj.v9i01.1611.
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