[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-291099-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-291099-en":130},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","educational-management-in-an-era-of-artificial-intelligence-and-machine-learning-abstract","EDUCATIONAL MANAGEMENT IN AN ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING - Abstract","","The study uses a descriptive survey research design to examine educational management in an era of artificial intelligence (AI) and machine learning (ML) at the University of Nigeria Nsukka. The population includes 272 principal officers and other staff in management positions, using census sampling. A researcher-structured questionnaire (QOEMEAM) tested through content analysis was analyzed with SPSS using Pearson correlation reliability (r = 0.810). Results show AI and ML enhance effective and efficient management, while also threatening managers’ positions.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/educational-management-in-an-era-of-artificial-intelligence-and-machine-learning-abstract/291099/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/educational-management-in-an-era-of-artificial-intelligence-and-machine-learning-abstract/291099.png","ImageObject",300,407,{"name":42,"@type":43},"Theodora","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-29","2026-09-17",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",6,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What research design and study location were used in the study?","Question",{"text":63,"@type":64},"A descriptive survey research design was used, and the study area was the University of Nigeria Nsukka.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How were reliability and validity of the questionnaire established?",{"text":68,"@type":64},"Validity was tested using content analysis. 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The area of the study was the University of Nigeria Nsukka. The population consisted of 272 principal officers and other staff in management positions. A census sampling technique was employed for the study. The instrument for data collection was a researcher-structured questionnaire titled Questionnaire on Educational Management in the Era ofArtificial Intelligence and Machine Learning (QOEMEAM). The validity of the instrument was tested using content analysis. Reliability was tested using the Pearson correlation coefficient (r). It gave a reliability coefficient of r = 0.810. SPSS statistical tool was employed for analysis. Research questions were answered using mean scores and standard deviation. Findings revealed that AI and ML enhance effective and efficient educational management (SD=1.2588 ˂ 1.402; ̅􀢞= 3.84 ˃ 3.0); AI and ML threaten the position of educational managers in educational management (SD=1.2588 ˂ 1.402;̅􀢞=3.84 ˃ 3.0). It further revealed that educational managers should integrate AI and ML into educational management (SD=1.2588 ˂ 1.402; ̅􀢞=3.84 ˃ 3.0). The finding implies that the integration of AI and ML is important at this time but the implementation may lead to job loss by education managers. It was recommended that AI and ML be integrated into educational management but in phases, to the extent that it will not take over human roles and create job loss.  \nKeywords: Artificial Intelligence, AI, Machine Learning, ML, Educational Management.  \nINTRODUCTION  \nEducational management is the process of planning, organizing, directing, and controlling an educational institution's human, financial, and material resources to achieve optimal educational goals. Girard, J. (2018); Kumar, A. (2019) and Hill, Song, and West, (2020), suggest that educational management involves activities such as curriculum development, training and development, budgeting, and student assessment. The efficiency and effectiveness of educational management are essential for ensuring that educational institutions provide quality education and meet set goals. These have often been done using the traditional approach until the technological revolution and subsequent emergence of artificial intelligence and machine learning.  \nAmidst technological traversing of all sectors and spheres of human existence and endeavors, artificial intelligence (AI) and machine learning (ML) have emerged as a change agent or force within the education sector. These technological breakthroughs have transformed how we live, work, and interact with the educational world. Scholars such as Holmes, Hui, Miao, and Ronghuai (2021) and Igbokwe (2023) are in alignment on the position that the impact of these technologies on the education sector cannot go unobserved as they have the potential to revolutionize how educational institutions are  \nmanaged, their operations, content delivery and the way they support student learning. These technologies have the potential to transform educational management practices such as planning, organizing, directing, and controlling; providing new ways of enhancing student learning outcomes, streamlining administrative processes, and empowering educators. As educational institutions navigate this era of artificial intelligence (AI) and machine learning (ML) integration era, it is imperative to understand what AI brings to the table for educational management, its benefits and their implications, challenges, and best pract","cbCaimv682HGKzOP","https://ap.wps.com/l/cbCaimv682HGKzOP","pdf",456075,11,"English","# Abstract\n# Introduction\n## Concept of Educational Management\n## AI and ML as Change Agents in Education\n## Benefits of AI and ML for Educational Management\n## Analytics and Risk Identification","[{\"question\":\"What research design and study location were used in the study?\",\"answer\":\"A descriptive survey research design was used, and the study area was the University of Nigeria Nsukka.\"},{\"question\":\"How were reliability and validity of the questionnaire established?\",\"answer\":\"Validity was tested using content analysis. Reliability was tested using the Pearson correlation coefficient, yielding r = 0.810.\"},{\"question\":\"What were the study’s main findings about AI and ML in educational management?\",\"answer\":\"The findings revealed that AI and ML enhance effective and efficient educational management, threaten educational managers’ positions, and should be integrated into educational management.\"}]","EDUCATIONAL MANAGEMENT IN AN ERA OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING - Abstract | PDF",1789643445,28]