Tag: Machine learning
Evaluating Institutional Readiness and Barriers to Machine Learning Based Personalized Learning in Secondary Schools

Evaluating Institutional Readiness and Barriers to Machine Learning Based Personalized Learning in Secondary Schools

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Tuyisenge Ephrem, Rodgers Bhalalusesa & Juliana KamagheThe Open University of TanzaniaEmail: tuyisenga@gmail.com/ rogers.balalusesa@out.ac.tz/ juliana.kamaghe@out.ac.tz Abstract: The integration of machine learning–based personalized learning systems in secondary education offers significant potential to enhance instructional differentiation, learner monitoring, and academic support. However, adoption depends not only on technological capability but also on institutional readiness across infrastructure, human capacity,…

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Artificial Intelligence (AI)-Driven Data Protection Strategies in Banking Institutions in Uasin Gishu County, Kenya

Artificial Intelligence (AI)-Driven Data Protection Strategies in Banking Institutions in Uasin Gishu County, Kenya

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Hillary Kiprob, Francis Musembi Kwale & Philemon KitturDepartment of Computer ScienceSchool of Science, University of Eldoret, Eldoret, KenyaEmail: kiproph7@gmail.com Abstract: In an era where traditional cybersecurity measures are increasingly inadequate against the growing sophistication and volume of digital threats, banks are compelled to adopt innovative technologies such as AI. The study explored the adoption and…

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Unmasking the Rise of Deepfakes: A Machine Learning Approach to Detection and Social Media Trend Analysis

Unmasking the Rise of Deepfakes: A Machine Learning Approach to Detection and Social Media Trend Analysis

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Chaminda Wijesinghe – Department of Computer & Data Science, NSBM Green University, Sri Lankachamindaw@nsbm.ac.lk Henrik Hansson – Department of Computer & Systems Sciences, Stockholm University, Sweden.henrik.hansson@dsv.su.se Abstract: The increasing prevalence of deepfake videos poses significant threats to information integrity, political stability, and public trust. This study presents a dual-faceted approach: (1) developing a machine learning…

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A Bibliometric Analysis on the Impact of Machine Learning and Deep Learning Models on COVID -19 in a Workplace

A Bibliometric Analysis on the Impact of Machine Learning and Deep Learning Models on COVID -19 in a Workplace

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John W. Kasubi, Lazaro A. Kisumbe & Mashala, L. YusuphLocal Government Training Institute, Dodoma, TanzaniaEmail: johnkasubi7@gmail.com Abstract: The study focused on assessing the impacts of Artificial Intelligence (AI) through Machine Learning (ML) and Deep Learning (DL) modes in combating the COVID-19 pandemic. This study performed a systematic literature review by analyzing articles published between 2020…

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The Exploration of Artificial Intelligence Tools and Their Applications in Higher Education Institutions for Information Professionals in Tanzania

The Exploration of Artificial Intelligence Tools and Their Applications in Higher Education Institutions for Information Professionals in Tanzania

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Matendo Didas & Shuubi Alphonce MutajwaaCenter for Information and Communication TechnologySt. John’s University of TanzaniaORCID: https://orcid.org/0000-0001-8672-0807Email: matendodidas@gmail.com Abstract: The main objective of this paper is to assess the possible uses of artificial intelligence (AI) tools and applications for information professionals employed by Tanzania’s higher education institutions (HEIs), particularly in the areas of end-user services and…

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