Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions

Su, Jiahong; Zhong, Yuchun

doi:10.1016/j.caeai.2022.100072

Cited by 65 publications

(52 citation statements)

References 33 publications

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“…According to the existing methods in several applications of data analytics in the Thailand education sector, it found that most of the research relied heavily on data collection, questionnaires, and surveys combined with statistical processes [25][26][27][28][29], while other academic works preferred different methods, such as classification [24] and snowball sampling [30]. Even if statistical methods provided satisfactory effectiveness for data analysis in different situations where the size is not very large [44], massive data volumes induced by the economic conditions during the COVID-19 outbreak have affected the accuracy of data assessment and analytics, whether it is a study plan [37][38][39][40] or an employment projection after each academic year [43]. Currently, though big data analytics is significantly applied to the Thailand education sector, this method is possibly considered a very suitable method for the development of the Thailand education sector in the future.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…There were just a few numbers of research works existing in the field of Thailand education sector along with distinctive statistical methodologies as the latest studies explained in Tables 1 and 2. Due to the need for technicians and experts, various education sectors in Thailand focused on providing training sessions to increase AI or machine learning knowledge for different groups of students [37][38][39][40]. In addition, an adaptation of machine learning in various forms of learning systems such as providing training [37][38][39][40], specific development of students' skills [42][43], as well as providing online academic support [41].…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…Due to the need for technicians and experts, various education sectors in Thailand focused on providing training sessions to increase AI or machine learning knowledge for different groups of students [37][38][39][40]. In addition, an adaptation of machine learning in various forms of learning systems such as providing training [37][38][39][40], specific development of students' skills [42][43], as well as providing online academic support [41]. Furthermore, implementing machine learning techniques can accurately predict performance and employability through continuously increasing amounts of data [45].…”

Section: Conclusion and Discussionmentioning

confidence: 99%

“…The designed in-class competition encouraged students in learning to build the datasets relying on an open-source license or local machine learning datasets and submit the group project to a GitHub repository for further project explanation and evaluation. Besides learning through AI workshops in a middle school, an artificial intelligence curriculum or AI course with three competencies comprising AI Knowledge, AI Skill, and AI Attitude was designed to enhance kindergarten, K3-5 students (5-7 years old) education in AI knowledge [40]. The proposed AI curriculum framework consisted of four key components including achievements, contents, methods, and evaluations where students can learn about machine learning with study cases and face recognition via PictoBlox.…”

Section: Machine Learning Adoption In Thailand Education Sectormentioning

confidence: 99%

See 3 more Smart Citations

Implementation of Data Analytics and Machine Learning in Thailand Education Sector

Nuankaew

Nasa-Ngium

Kunasit

et al. 2023

Int. J. Emerg. Technol. Learn.

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Since the global epidemic of the coronavirus disease 2019 (COVID-19) over the past few years, Thailand education sector has been affected by the requisites for a digitization system and distance education. This sudden change has affected the quality of learning and statistical evaluation in the long term. Consequently, data analysis and categorization in learning quality assessment are critical for predicting the number of future students and learning performance after the COVID-19 outbreak. However, vast data analytics might be applied to the education sector in many aspects. In addition, machine learning can influence the categorization of students that are useful for analyzing the performance of different educational systems. Therefore, this study reviews the perspective and usability of data analytics and machine learning that influences current situations in Thailand's education sector.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Conclusion and Discussionmentioning

confidence: 99%

Section: Machine Learning Adoption In Thailand Education Sectormentioning

confidence: 99%

See 2 more Smart Citations

Implementation of Data Analytics and Machine Learning in Thailand Education Sector

Nuankaew

Nasa-Ngium

Kunasit

et al. 2023

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

show abstract

“…This is a solution, as well as a new problem that the education community must immediately adapt to. The Importance of AI Development is Much Emphasized in Secondary and Higher Education (2). however, at the kindergarten level, this is rarely done.…”

Section: Introductionmentioning

confidence: 99%

The Role of Artificial Intelligence in Children's Education for A Digital Future

Puspitaningsih

Irhadtanto

Puspananda

2022

KSS

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Society 5.0 is a plan to generate a human-focused society that focuses on economic and social growth in Japan. The idea emerged as an evolution of Industrial Revolution 4.0, which is thought to have the capacity to revolutionize technology. One of the main features of Society 5.0 is the use of artificial intelligence. Artificial intelligence brings many benefits to various fields. One of them is in the field of education. Many studies claim that artificial intelligence can help ease human work and increase knowledge and skills in the field of education. Artificial intelligence has introduced fundamental challenges to education for students, educators and parents. But they are indirectly forced to use AI to learn. This is a solution, as well as a new problem that the education community must immediately adapt. Artificial intelligence has already become a part of education at high schools and colleges. However, at the kindergarten level, it is rarely used. On average, students at this level already have an AI-powered device at home. This study focuses on the role of artificial intelligence at the kindergarten level. This study recommends the importance of AI education at the kindergarten level to instill Artificial Intelligence skills in children from an early age, prepare them for the future of a digitalized world, and improve their computational and problem-solving abilities with artificial intelligence. Keywords: Artificial intelligence, education, digital future, children, AI literacy

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Fragments of the past: The intersection of AI, historical imagery, and early childhood creativity

Berson,

Berson

2024

Future in Educational Research

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This paper explores the intersection of early childhood education and AI, with a focus on promoting multimodal play. Drawing from implementation research in preschools, we explore the potential of an AI‐powered painting tool to foster historical imagery, creativity, and self‐expression. The findings demonstrate how technology can be used to democratize access to cultural heritage resources while enabling children's creative play centered on variation, improvisation, and human interaction. The human‐in‐the‐loop approach is crucial in aligning AI integration with early childhood pedagogy, ensuring that technology supports, rather than replaces, teachers' roles in the classroom. The paper highlights the importance of maintaining a human presence in the learning process to create educational experiences that are developmentally appropriate and transformative for young children.

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Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions

Cited by 65 publications

References 33 publications

Implementation of Data Analytics and Machine Learning in Thailand Education Sector

Implementation of Data Analytics and Machine Learning in Thailand Education Sector

The Role of Artificial Intelligence in Children's Education for A Digital Future

Fragments of the past: The intersection of AI, historical imagery, and early childhood creativity

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