International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE https://ijasre.net/index.php/ijasre IJASRE is a scholarly peer-reviewed, an open access multidisciplinary journal for publication of new ideas, the state of the art research results and fundamental advances in all fields of Science, Engineering and Technology. The vision of IJASRE is to publish original articles related to the current trends of research in the field of Science, Engineering, and Technology. IJASRE brings together Scientists, Academicians, Engineers, Scholars, and Students of Science, Engineering, and Technology. Sreetechjournal Publication en-US International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE 2454-8006 Biocontrol of Parthenium Hysterophorus using Zygogramma Bicolorata: Implications for Maize Grain Yield https://ijasre.net/index.php/ijasre/article/view/1853 <p>Biological control is a cost-effective and sustainable method many countries use to control invasive alien plant species. This study was conducted to establish the effectiveness of <em>Z. bicolorata </em>in controlling the noxious weed crop <em>Parthenium hysterophorus</em> and the associated benefits in enhancing maize yield performance under screen house conditions. The R-studio software was used to analyse data on plant height at flowering, number of leaves, leaf length, plant height at maturity, number of plants harvested, ear length, ear diameter, number of kernels per ear, number of kernels per row, plant biomass and grain yield. Maize yields were considerably higher (1800 g) in plots without parthenium than those with parthenium and no beetles (322 g). In plots with parthenium and the biocontrol agent maize yields were 1617 g, evidence that the agent effectively reduces the competitive ability of parthenium weed under these conditions.&nbsp;&nbsp; In addition, maize plants in plots with no parthenium weed and those with parthenium weed and <em>Z. bicolorata</em> were significantly taller, had longer leaves, had more kernel rows and kernels per ear and had higher plant biomass compared to those maize plants growing together with parthenium in the absence of the biocontrol agent. Furthermore, the study found that defoliation of parthenium weed by <em>Z. bicolorata</em> contributed to a significant decrease in plant height, root length, number of flowers per plant and plant biomass of this invasive plant. <em>Zygogramma bicolorata</em> can significantly suppress the growth of parthenium weed in maize cultivation plots and thus enhance the growth and yield of maize.</p> Joyce Christopher Mwijarubi Gerubin Liberath Msaki Copyright (c) 2025 Joyce Christopher Mwijarubi, Gerubin Liberath Msaki https://creativecommons.org/licenses/by-nc/4.0/ 2025-01-16 2025-01-16 11 1 1 9 10.31695/IJASRE.2025.1.1 Design and Implementation of AI-Driven Personalized Learning Tools for Tanzanian Secondary Schools https://ijasre.net/index.php/ijasre/article/view/1858 <p><em>This study investigates the effectiveness of AI-powered personalised learning tools in Tanzanian secondary schools. The research explores the potential of these tools to address the unique challenges these schools face, including large class sizes, limited resources, and significant language diversity. Through a comparative analysis of various AI tools, the study examines their adaptability to Tanzania's educational context, considering language diversity, cultural relevance, and infrastructure constraints. The research employs qualitative design, incorporating comparative case study elements to evaluate the functionalities and adaptability of selected AI-driven personalised learning tools. Data collection involves a systematic review of available tools, semi-structured interviews with educators and AI experts, and a survey to gather information specific to the Tanzanian educational context.&nbsp; &nbsp; Key findings indicate that AI-powered personalised learning tools offer significant potential for enhancing education in Tanzanian secondary schools. These tools can adapt to individual student needs, providing personalized learning experiences that traditional methods cannot achieve.&nbsp; &nbsp; However, the study also identifies challenges, including limited language support, the need for culturally relevant content, and infrastructural constraints. Addressing these challenges is crucial for maximizing the effectiveness of these tools in the Tanzanian context.&nbsp; &nbsp; The study concludes that AI tools can significantly contribute to personalized learning in Tanzania, but their successful implementation requires careful consideration of local needs and challenges.&nbsp; &nbsp;Recommendations include prioritizing AI tools with high adaptability, robust multilingual support, and mobile-first designs to cater to Tanzania's diverse linguistic landscape and technological infrastructure. Future research should focus on empirical testing within Tanzanian classrooms and refining AI tools to align better with local educational needs.</em></p> Juliana Kamaghe Copyright (c) 2025 Juliana Kamaghe https://creativecommons.org/licenses/by-nc/4.0/ 2025-01-16 2025-01-16 11 1 10 22 10.31695/IJASRE.2025.1.2