INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
By offering insightful information about student performance, instructional efficacy, and resource allocation, data mining tools have the potential to dramatically raise the standard of education in Malawian universities. Malawian universities may develop a more personalized, productive, and data-driven learning environment for all students by properly applying data mining. By offering insightful information about student performance, instructional efficacy, and resource allocation, data mining tools have the potential to dramatically raise the standard of education in Malawian universities. Malawian universities may develop a more personalized, productive, and data-driven learning environment for all students by properly applying data mining. A data mining framework for improving the quality of education in Malawian universities is proposed, consisting of data collection, data preprocessing, exploratory data analysis, feature engineering, model selection, model training, model evaluation, and deployment. Data that can be used for data mining in Malawian universities includes student demographic data, academic data, learning behavior data, assessment data, instructor data, and institutional data. Examples of data mining applications in Malawian universities include identifying at-risk students, personalizing learning experiences, predicting student performance, evaluating teaching effectiveness, and improving resource allocation. Data mining techniques have the potential to make a significant contribution to the improvement of the quality of education in Malawian universities. By effectively utilizing data mining, Malawian universities can create a more personalized, effective, and data-driven learning environment for all students.
"UTILIZING DATA MINING TECHNIQUES TO IMPROVE THE QUALITY OF EDUCATION IN MALAWIAN UNIVERSITIES", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 2, page no.a647-a657, February-2024, Available :http://www.ijnrd.org/papers/IJNRD2402073.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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