[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-120698-en":3,"doc-seo-120698-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},120698,687197100911,"Himbo","https://ap-avatar.wpscdn.com/avatar/a000239b6f1da00475?x-image-process=image/resize,m_fixed,w_180,h_180&k=1785132997149421697",8,"Research & Report","Implementation of Data Analytics and Machine Learning in Thailand Education Sector","COVID-19 has forced Thailand’s education sector toward digitization and distance learning, changing learning quality and long-term statistical evaluation practices. The resulting data challenges increase the need for data analysis and categorization in learning quality assessment to forecast future student numbers and performance after the outbreak. The study reviews how data analytics and machine learning can support current educational situations in Thailand, including student categorization and learning-performance analysis.","Paper—Implementation of Data Analytics and Machine Learning in Thailand Education Sector  \nImplementation of Data Analytics and Machine Learning in Thailand Education Sector  \n[https://doi.org/10.3991/ijet.v18i05.36871](https://doi.org/10.3991/ijet.v18i05.36871)  \nPratya Nuankaew1(*), Patchara Nasa-Ngium2, Tinnakorn Kunasit2, Wongpanya Sararat Nuankaew2  \n1University of Phayao, Phayao, Thailand  \n2Rajabhat Maha Sarakham University, Maha Sarakham, Thailand [pratya.nu@up.ac.th](pratya.nu@up.ac.th)  \nAbstract—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 evaluations 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 education sector.  \nKeywords—data analytics, education sector, machine learning, Thailand  \n1 Introduction  \nIn general, the development of an educational system depends on various factors and methods related to the current economic situation and the social environment [1] . This heterogeneous data structure is stored and managed as local data for easy access and compliance with the requirements of the active education system [2] . Paperbased data manipulation and reference from academics or administrative staff can be carried out offline [3] . Besides, teachers or lecturers can evaluate students’ abilities and performance without relying on any special tools or online technologies [4] . However, changes in the education system and learning methods since the outbreak of coronavirus disease 2019 (COVID-19) have resulted in rapid database expansion [5] . As thereport of UNICEF and UNESCO in Figure 1, 140 million students in Southeast Asia education, including Thailand was disrupted by the COVID-19 pandemic and waited several years to return to local classrooms in 2020 [6]. Also, 27 million students were unable to go to school during the COVID-19 pandemic. Although e-learning has been in widespread use in recent years, a large number of students rely on online education more than ever.  \nPaper—Implementation of Data Analytics and Machine Learning in Thailand Education Sector  \nFig. 1. The portion of students who affected by COVID-19 in the Asia education sector [5]  \nDifferences in database structure, organizational resource constraints, and large student data records, it is likely to be captured and analyzed by various methods [7–8] . Also, error analysis of data leads to erroneous actions in the future. Nevertheless, the general education sectors in Thailand rely on predictions made by information technologies such as artificial intelligence and data mining [8] . Consequently, data analytics and machine are considered tools that can be adopted to improve the educational system.  \nIn the case of data direct access, data analytics is a technology-based approach that can be easily applied to statistical prediction [3] . General information about students, such as grades along with class hierarchy can be used to strategically build a large database. Thus, big data analytics in sophisticated educational programs influence the transformation of institutions either in finance or administration [9–10] . Hence, institutions have attempted to analyze the available data sources and anticipate the following possible scenarios.  \n1.1 Educational analytics  \nEducational ","cbCaihPJ9k2r4avY","https://ap.wps.com/l/cbCaihPJ9k2r4avY","pdf",903944,1,17,"English","en",105,"# Introduction\n## Educational analytics\n## Decision making support","[{\"question\":\"Why are data analytics and machine learning important for Thailand’s education sector after COVID-19?\",\"answer\":\"COVID-19 accelerated digitization and distance education, expanding and reshaping education data while affecting learning quality and statistical evaluations. Data analytics helps improve prediction and assessment reliability, while machine learning supports smarter categorization of students and performance analysis.\"},{\"question\":\"How does educational analytics support educators?\",\"answer\":\"Educational analytics strengthens teacher effectiveness in decision-making situations. It uses statistical methods to support rational decisions and improve outcomes.\"},{\"question\":\"What role can decision-making support play in data analytics systems?\",\"answer\":\"The efficiency of data analytics depends on having consistent infrastructure to store, organize, and retrieve required data. Using a single data source can reduce search time and increase efficiency for checking and extracting information.\"}]","Implementation of Data Analytics and Machine Learning in Thailand Education Sector | PDF",1785731605,43,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"implementation-of-data-analytics-and-machine-learning-in-thailand-education-sector","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/implementation-of-data-analytics-and-machine-learning-in-thailand-education-sector/120698/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why are data analytics and machine learning important for Thailand’s education sector after COVID-19?","Question",{"text":75,"@type":76},"COVID-19 accelerated digitization and distance education, expanding and reshaping education data while affecting learning quality and statistical evaluations. Data analytics helps improve prediction and assessment reliability, while machine learning supports smarter categorization of students and performance analysis.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does educational analytics support educators?",{"text":80,"@type":76},"Educational analytics strengthens teacher effectiveness in decision-making situations. It uses statistical methods to support rational decisions and improve outcomes.",{"name":82,"@type":73,"acceptedAnswer":83},"What role can decision-making support play in data analytics systems?",{"text":84,"@type":76},"The efficiency of data analytics depends on having consistent infrastructure to store, organize, and retrieve required data. 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