[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124991-en":3,"doc-seo-124991-105":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},124991,8796095462418,"Noah","https://ap-avatar.wpscdn.com/avatar/80000253c1241d02b47?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778826106357471780",8,"Research & Report","Predicting student specializations - a Machine Learning Approach based on Academic Performance","Education underpins societal progress by building essential skills and knowledge, making personalized learning increasingly important in a rapidly changing world. This study leverages Educational Data Mining (EDM) and machine learning to predict Greek high school students’ specializations from previous grades. The work targets educators and parents with a practical decision-support tool. The paper details the methodology, reports comparative results, and discusses how data-driven prediction can improve educational selection.","JOURNAL OF E-LEARNING AND KNOWLEDGE SOCIETY Vol. 20, No. 2 (2024), pp. 19-27  \nPredicting student specializations: a Machine Learning Approach based on Academic Performance  \nAthanasios Angeioplastis, Nikolaos Papaioannou, Alkiviadis Tsimpiris1 , Angeliki Kamilali, Dimitrios Varsamis  \nInternational Hellenic University, Dept. of Computer, Informatics and Telecommunications Engineering – Serres (Greece)  \n(submitted: 22/3/2024; accepted: 19/8/2024; published: 28/8/2024)  \nAbstract  \nEducation is a cornerstone of societal progress, equipping people with essential skills and knowledge. In today’s dynamic global society, personalized learning experiences are crucial. Data-driven methodologies, especially Educational Data Mining (EDM), play pivotal roles. This study employs machine learning algorithms to predict specializations for Greek high school students based on their previous grades. The aim is to provide a practical tool for educators and parents, aiding in the optimal selection of specializations. The paper outlines the methodology, presents comparative study results, and concludes with insights into the potential impact on educational decision-making. This research advances the integration of data-driven approaches in education, enhancing students ’ learning experiences and prospects.  \nKEYWORDS: Machine Learning Algorithms, Educational Data Mining, Prediction, High School.  \nDOI  \n[https://doi.org/10.20368/1971-8829/1135904](https://doi.org/10.20368/1971-8829/1135904)  \nCITE AS  \nAngeioplastis, A. , Papaioannou, N., Tsimpiris, A., Kamilali, A., & Varsamis, D. (2024). Predicting student specializations: a Machine Learning Approach based on Academic Performance. Journal of e-Learning and Knowledge Society, 20(2), 19-27. [https://doi.org/10.20368/1971-8829/1135904](https://doi.org/10.20368/1971-8829/1135904)  \n1. Introduction  \nOne of the primary foundations of society development is education, which gives people the knowledge and abilities they need to function in a constantly changing environment. It is universally acknowledged as the essential component of economic progress (Chang, Chen, & Xiong, 2018; Alani, Yawe & Mutenyo, 2022), societal improvement and personal development (Zheng, 2023), making it a fundamental human right. It is more than just a process of acquiring information, but mostly a transformative journey that enables people to  \n1 corresponding author-email: [alkisser@gmail.com](alkisser@gmail.com)  \nthink critically, to confront complex problems and generally, to make significant contributions to their communities (Kurnia, 2021) . In today’s interconnected global society, the role of education has become even more pivotal, as it equips people with the tools they need to navigate a complicated and rapidly evolving environment (Schleicher, 2018). Owing to these conditions, teachers are required to modify the curriculum and address the particular requirements and learning preferences of a broad spectrum of students (Kilag, Comighud, Amontos, Damos & Abendan, 2023). As a result, dynamic, customized learning experiences replace conventional, one-size-fits-all methods. This shift is supported by the integration of data-driven methodologies, which provide valuable insights into how students learn, what interests them, and where they may need additional support, which lead educators andinstitutions to increasingly using innovative technologies and approaches in their quest to optimize learning experiences and outcomes (Siemens & Long, 2011) . Data mining is one such effective technique (Romero & Ventura, 2007).  \n19 © Italian e-Learning Association  \nData mining is the process of discovering valuable patterns, dependencies, insights, and knowledge from datasets that contain large amount of data (Chen, Abtahi, Carrero, Fernandez-Llatas & Seoane, 2023). More precisely, it involves employing a variety of computer tools, statistical algorithms, and machine learning approaches that facilitate the extraction of informat","cbCaivoXhO0RVkN0","https://ap.wps.com/l/cbCaivoXhO0RVkN0","pdf",668220,1,9,"English","en",105,"# Introduction\n## Educational Data Mining (EDM)\n## Data mining techniques and applications\n## Classification, association, and predictive modeling","[{\"question\":\"What task does the study address?\",\"answer\":\"The study predicts student specializations for Greek high school students using machine learning based on previous grades.\"},{\"question\":\"Which data-driven approach is emphasized?\",\"answer\":\"Educational Data Mining (EDM) is used to extract and understand knowledge from large educational datasets and to support predictive modeling.\"},{\"question\":\"How is the research expected to benefit educators and parents?\",\"answer\":\"It aims to provide a practical tool that helps them select specializations more optimally using data-driven insights.\"}]","Predicting student specializations - a Machine Learning Approach based on Academic Performance | PDF",1785895890,23,{"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-student-specializations-a-machine-learning-approach-based-on-academic-performance","",{"@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-student-specializations-a-machine-learning-approach-based-on-academic-performance/124991/",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 task does the study address?","Question",{"text":75,"@type":76},"The study predicts student specializations for Greek high school students using machine learning based on previous grades.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Which data-driven approach is emphasized?",{"text":80,"@type":76},"Educational Data Mining (EDM) is used to extract and understand knowledge from large educational datasets and to support predictive modeling.",{"name":82,"@type":73,"acceptedAnswer":83},"How is the research expected to benefit educators and parents?",{"text":84,"@type":76},"It aims to provide a practical tool that helps them select specializations more optimally using data-driven insights.","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},[93,97,101,105,110,115,120,123,127,130,134],{"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":21,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]