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Using a systematic literature review guided by PRISMA, the study searches Scopus and Web of Science and organizes evidence into three categories: artificial intelligence, platforms/software, and learning systems. Findings show AI enables adaptive personalization through individualized content, assessment, and recommendations, while online platforms support blended learning for retention and engagement. Learning systems promote student-centered and hybrid approaches, including game elements for motivation, with implications for hybrid models, data analysis, human connections, and teacher training.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/mapping-the-intelligent-classroom-examining-the-emergence-of-personalized-learning-solutions-in-the-digital-age/600438/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/mapping-the-intelligent-classroom-examining-the-emergence-of-personalized-learning-solutions-in-the-digital-age/600438.png","ImageObject",300,407,{"name":92,"@type":93},"OmBimo","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-04","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What was the purpose of the systematic literature review?","Question",{"text":112,"@type":113},"To explore platforms and software that support personalized learning in the digital age and understand how intelligent classroom approaches are emerging.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How did the review conduct its search and selection?",{"text":117,"@type":113},"It followed PRISMA guidelines and searched Scopus and Web of Science databases to identify relevant evidence.",{"name":119,"@type":110,"acceptedAnswer":120},"What are the three main categories identified in the findings?",{"text":121,"@type":113},"The review groups results into artificial intelligence, platforms/software, and learning systems, showing how each contributes to personalized and student-centered learning.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},600438,1792189613,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},962090893581,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","OPEN ACCESS  \nReview Article  \nContemporary Educational Technology, 2025, 17(1), ep543 ISSN: 1309-517X (Online)  \nMapping the intelligent classroom: Examining the emergence of personalized learning solutions in the digital age  \nAlez Lagos-Castillo 1  \n 0000-0002-3345-2711  \nAndrés Chiappe 1*  \n 0000-0002-9664-4833  \nMaría-Soledad Ramirez-Montoya 2  \n 0000-0002-1274-706X  \nDiego Fernando Becerra Rodríguez 1  \n 0000-0003-3881-7289  \n1 Universidad de La Sabana, Chía, Cundinamarca, COLOMBIA  \n2 Tecnologico de Monterrey, Monterrey, MEXICO  \n* Corresponding author: [andres.chiappe@unisabana.edu.co](andres.chiappe@unisabana.edu.co)  \nCitation: Lagos-Castillo, A., Chiappe, A., Ramirez-Montoya, M.-S., & Becerra Rodríguez, D. F. (2025) . Mapping the intelligent classroom: Examining the emergence of personalized learning solutions in the digital age. Contemporary Educational  \nTechnology, 17(1), ep543. [https://doi.org/10.30935/cedtech/15617](https://doi.org/10.30935/cedtech/15617)  \nARTICLE INFO ABSTRACT  \n\n| Received: 8 Apr 2024\u003Cbr>Accepted: 27 Aug 2024\u003Cbr>INTRODUCTION | It may seem that learning platforms and systems are a tired topic for the academic community; however, with the recent advancements in artificial intelligence, they have become relevant to both current and future educational discourse. This systematic literature review explored platforms and software supporting personalized learning processes in the digital age. The review methodology followed PRISMA guidelines, searching Scopus and Web of Science databases. Results identified three main categories: artificial intelligence, platforms/software, and learning systems. Key findings indicate artificial intelligence plays a pivotal role in adaptive, personalized environments by offering individualized content, assessments, and recommendations. Online platforms integrate into blended environments to facilitate personalized learning, retention, and engagement. Learning systems promote student-centered models, highlight hybrid environments’ potential, and apply game elements for motivation. Practical implications include leveraging hybrid models, emphasizing human connections, analyzing student data, and teacher training. Future research directions involve comparative studies, motivational principles, predictive analytics, adaptive technologies, teacher professional development, cost-benefit analyses, ethical frameworks, and diverse learner impacts. Overall, the dynamic interplay between artificial intelligence, learning platforms, and learning systems offers a mosaic of opportunities for the evolution of personalized learning, emphasizing the importance of continuous exploration and refinement in this ever-evolving educational landscape.\u003Cbr>Keywords: improving classroom teaching, data science applications in education, humancomputer interface, learning communities, distributed learning environments |\n| --- | --- |\n\nEducation is currently immersed in an era of profound and rapid transformations, largely driven by the rapid development of advanced digital technologies, with a particular emphasis on artificial intelligence (AI) and machine learning (Jun et al., 2024; Liu et al., 2018; Vhatkar et al., 2023) . This context has given rise to the concept of “Education 4.0,” which is conceived as the deployment of educational practices mediated or supported by technologies of the fourth industrial revolution (Marzal & Vivarelli, 2024). Thus, the educational  \ndomain is navigating an era where the synergy between traditional pedagogy and advanced technologies is redefining learning methodologies, ushering in times of innovation and adaptability that seek to prepare students for the challenges of an increasingly dynamic and technology-driven world.  \nIn this evolving educational paradigm, many researchers argue for a redefinition of the student role, advocating for more active, flexible, autonomous, and personalized approaches to address the challenges of 21st century education (Ibrohi","cbCaij4fXpFOtIXo","https://ap.wps.com/l/cbCaij4fXpFOtIXo","pdf",411259,18,"English","# Introduction\n# Review Methodology (PRISMA)\n# Findings: AI, Platforms/Software, Learning Systems\n## Artificial intelligence for adaptive personalization\n## Online platforms in blended environments\n## Learning systems for student-centered hybrid models\n# Practical Implications and Future Research Directions","[{\"question\":\"What was the purpose of the systematic literature review?\",\"answer\":\"To explore platforms and software that support personalized learning in the digital age and understand how intelligent classroom approaches are emerging.\"},{\"question\":\"How did the review conduct its search and selection?\",\"answer\":\"It followed PRISMA guidelines and searched Scopus and Web of Science databases to identify relevant evidence.\"},{\"question\":\"What are the three main categories identified in the findings?\",\"answer\":\"The review groups results into artificial intelligence, platforms/software, and learning systems, showing how each contributes to personalized and student-centered learning.\"}]","Mapping the intelligent classroom - Examining the emergence of personalized learning solutions in the digital age | PDF",1792090692,45]