Implementation of Data Analytics and Machine Learning in Thailand Education Sector

Nuankaew, Pratya; Nasa-Ngium, Patchara; Kunasit, Tinnakorn; Nuankaew, Wongpanya

doi:10.3991/ijet.v18i05.36871

Cited by 4 publications

(2 citation statements)

References 32 publications

(55 reference statements)

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“…Holistic Development Programs. Provision for opportunities where the students, faculty, and staff social, emotional, physical, mental, and intellectual growth as a person is addressed by attending programs and activities on Artificial Intelligence [29] Learners as Creators [7] Mental Health Programs [14], and Leaders of Professional Learning [8]. This approach to personal or organizational growth considers various facets of a person's or organization's life or development instead of concentrating on one area alone, in reaching the individual full potential and wellbeing.…”

Section: Data Gathered From Research Gaps and Research Recommendationsmentioning

confidence: 99%

Development of an Integrated Library Management System (ILMS)

Ayo,

Jotic,

Raqueño

et al. 2023

Int. J. Interact. Mob. Technol.

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Abstract— This document presents the design and development of an integrated library management system based on the needs assessment conducted in response to technology, infrastructure, existing condition, facilities, technology readiness of human resources, automation sufficiency level, and support of technical staff among ninety-eight (98) respondents using the descriptive developmental method. Developing a system based on research is crucial in ensuring the accuracy and reliability of the system. This approach addresses specific problems or challenges by incorporating evidence-based practices and the latest advancements in the field. The findings include the need to mentor the respondents on how to use technology and the influence of others as a factor in using technology. There is a difficulty encountered in navigating schools’ virtual libraries, unavailability of materials, and visiting it is not enticing anymore since information is available from the internet. The rarity of introducing new technology and the absence of 3D printers are common pain points. However, improvements on the library website, email/chat with a librarian, online research guides, online book reservations, and book delivery service were noticed. Research gaps and recommendations from the selected Library Management System were also employed as additional input in the development of the system. A deeper understanding of the Internet of Things, Artificial Intelligence, Big Data, Robotics, and Embedded Systems through training, webinars, and workshops are necessary for the librarian. These technologies could be applied in library operations and transactions. Procurement of the latest equipment which includes 3D printers and the development of integrated library systems are steps to take to improve the library's services and operation. By combining the results of assessments and incorporating new knowledge derived from research gaps and recommendations, provided a stronger foundation for the system. It also provides validation and grounding in scientific principles, ensuring that the system is well-informed and effective in its implementation. Ultimately, developing a system based on research leads to more informed and effective solutions to pain points and challenges.

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Section: Data Gathered From Research Gaps and Research Recommendationsmentioning

confidence: 99%

Development of an Integrated Library Management System (ILMS)

Ayo,

Jotic,

Raqueño

et al. 2023

Int. J. Interact. Mob. Technol.

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“…In this sense, educational artificial intelligence is being considered a relatively new emerging field of specialization, with the potential to revolutionize teaching methods and learning experiences in students where its application can be oriented towards strategy management or management institutional and teaching and learning 46 . However, extensive data analysis can be used in the various areas of the education industry 47 .…”

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confidence: 99%

Comparative analysis of performance of AutoML algorithms: Classification model of payment arrears in students of a private university

Villarreal-Torres,

Ángeles-Morales,

Cano-Mejía

et al. 2023

ICST Transactions on Scalable Information Systems

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The impact of artificial intelligence in our society is important due to the innovation of processes through data science to know the academic and sociodemographic factors that contribute to late payments in university students, to identify them and make timely decisions for implementing prevention and correction programs, avoiding student dropout due to this economic problem, and ensuring success in their education in a meaningful and focused way. In this sense, the research aims to compare the performance metrics of classification models for late payments in students of a private university by using AutoML algorithms from various existing platforms and solutions such as AutoKeras, AutoGluon, HyperOPT, MLJar, and H2O in a data set consisting of 8,495 records and the application of data balancing techniques. From the implementation and execution of various algorithms, similar metrics have been obtained based on the parameters and optimization functions used automatically by each tool, providing better performance to the H2O platform through the Stacked Ensemble algorithm with metrics accuracy = 0.778. F1 = 0.870, recall = 0.904 and precision = 0.839. The research can be extended to other contexts or areas of knowledge due to the growing interest in automated machine learning, providing researchers with a valuable tool in data science without the need for deep knowledge.

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