[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126943-en":3,"doc-seo-126943-105":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":4,"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},126943,137451207643,"Noah","https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2",8,"Research & Report","Predicting Global Education Quality - A Comprehensive Machine Learning Approach Using World Bank Data","This paper introduces an innovative approach to predicting global education quality using a multi-year, multi-country dataset from the World Bank. The workflow combines unsupervised K-means clustering to group countries by education quality levels with supervised classification to build predictive models. Multiple machine learning algorithms are trained and tuned to select the best-performing method. Results show KNN achieves the strongest performance after hyperparameter optimization, with precision, recall, accuracy, and AUC of 0.9740, 0.9721, 0.9711, and 0.9959. The findings support evidence-based decisions by policymakers and researchers for targeted interventions.","JEP  \nInternational Journal of  \nEngineering Pedagogy  \niJEP | eISSN: 2192-4880 | Vol. 14 No. 4 (2024) |  \n[Onli](Online-Journals.org)[ne-Jo](Online-Journals.org)[urnals](Online-Journals.org)[.org](Online-Journals.org)  \n[https://doi.org/10.3991/ijep.v14i4.48205](https://doi.org/10.3991/ijep.v14i4.48205)  \nPAPER  \nPredicting Global Education Quality: A Comprehensive Machine Learning Approach Using World Bank Data  \nRabab El Hatimi1(*), Cherifa Fatima Choukhan1, Abdellatif Moussaid2, Mustapha Esghir1  \n1Laboratory of Mathematics, Computing and Applications, Faculty of Sciences, Mohammed V University in Rabat, Rabat, Morocco  \n2ENSIAS, Mohammed V University in Rabat, Rabat, Morocco  \n[rababelhatimi@gmail.com](rababelhatimi@gmail.com)  \nABSTRACT  \nThis paper introduces an innovative approach to predicting the quality of education on a global scale. It leverages a comprehensive dataset spanning multiple years and countries from the World Bank. Our methodology involves two key steps: first, unsupervised clustering using the K-means model to categorize countries based on their educational quality levels; and second, employing supervised classification techniques to develop a predictive model. Through training and optimizing various machine learning (ML) algorithms, we aim to identify the most accurate model for predicting education quality. The outcomes highlight the efficacy of our approach, with the KNN algorithm demonstrating superior performance after hyperparameter optimization. It achieved precision, recall, accuracy, and AUC values of 0.9740, 0.9721, 0.9711, and 0.9959, respectively. These findings provide valuable insights for policymakers, educational institutions, and researchers, helping to identify areas that require attention and to design targeted interventions.  \nKEYWORDS  \neducation quality, machine learning (ML), World Bank data, predictive modeling, global education assessment, KNN algorithm  \n1 INTRODUCTION  \nEducation is a fundamental pillar of human life, playing a crucial role in sustainable development and the well-being of societies. It serves as a catalyst for poverty reduction and the achievement of sustainable development goals, representing a fundamental human right that extends throughout life. However, the state of education globally, particularly for children, remains a major concern, especially in developing countries. Despite progress in literacy rates, there are various challenges such as school dropout, economic constraints, and global crises that hinder access to education [1][2][3][4] .  \nThe utilization of machine learning (ML) in evaluating the progression of education quality globally provides numerous advantages. Firstly, ML models can analyze  \nEl Hatimi, R., Choukhan, C. F., Moussaid, A., Esghir, M. (2024) . Predicting Global Education Quality: A Comprehensive Machine Learning Approach Using World Bank Data. International Journal of Engineering Pedagogy (iJEP), 14(4), pp. 24–37. [https://doi.org/10.3991/ijep.v14i4.48205](https://doi.org/10.3991/ijep.v14i4.48205)[ ](https://doi.org/10.3991/ijep.v14i4.48205)[Article submitted 2023-11-26. Revision uploaded 2024-01-15. Final acceptance 2024-02-07.](Article submitted 2023-11-26. Revision uploaded 2024-01-15. Final acceptance 2024-02-07.)  \n© 2024 by the authors of this article. Published under CC-BY.  \n24 International Journal of Engineering Pedagogy (iJEP) iJEP | Vol. 14 No. 4 (2024)  \nPredicting Global Education Quality: A Comprehensive Machine Learning Approach Using World Bank Data  \nlarge amounts of data from various sources to identify key factors that contribute to the quality of education. These factors may include student performance, available educational resources, implemented educational policies, student-teacher ratios, teacher training levels, and more [5][6][7][8][9] .  \nBy utilizing supervised learning techniques, ML models can learn from historical data to predict the quality of education in various regions or countries. For exa","cbCaiqUMSfK0lUKP","https://ap.wps.com/l/cbCaiqUMSfK0lUKP","pdf",1803059,1,14,"English","en",105,"# Introduction\n## Motivation and challenges in global education\n## Role of machine learning in education assessment\n# Related Work\n## Prior studies using World Bank data and ML in education","[{\"question\":\"What dataset does the paper use to predict education quality?\",\"answer\":\"The paper uses a comprehensive multi-year, multi-country dataset provided by the World Bank.\"},{\"question\":\"How is the modeling pipeline structured in the proposed approach?\",\"answer\":\"It uses K-means clustering to categorize countries by education quality levels, then applies supervised classification with optimized machine learning algorithms to predict education quality.\"},{\"question\":\"Which algorithm performed best and what metrics were reported?\",\"answer\":\"The KNN algorithm delivered the best results after hyperparameter optimization, achieving precision 0.9740, recall 0.9721, accuracy 0.9711, and AUC 0.9959.\"}]","Predicting Global Education Quality - A Comprehensive Machine Learning Approach Using World Bank Data | PDF",1785935813,35,{"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},"predicting-global-education-quality-a-comprehensive-machine-learning-approach-using-world-bank-data","",{"@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/predicting-global-education-quality-a-comprehensive-machine-learning-approach-using-world-bank-data/126943/",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","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What dataset does the paper use to predict education quality?","Question",{"text":75,"@type":76},"The paper uses a comprehensive multi-year, multi-country dataset provided by the World Bank.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How is the modeling pipeline structured in the proposed approach?",{"text":80,"@type":76},"It uses K-means clustering to categorize countries by education quality levels, then applies supervised classification with optimized machine learning algorithms to predict education quality.",{"name":82,"@type":73,"acceptedAnswer":83},"Which algorithm performed best and what metrics were reported?",{"text":84,"@type":76},"The KNN algorithm delivered the best results after hyperparameter optimization, achieving precision 0.9740, recall 0.9721, accuracy 0.9711, and AUC 0.9959.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]