https://www.cribfb.com/journal/index.php/BJMSR/issue/feed Bangladesh Journal of Multidisciplinary Scientific Research 2024-02-10T09:06:56+00:00 Dr. Arjantin [email protected] Open Journal Systems <div id="content">&nbsp;</div> https://www.cribfb.com/journal/index.php/BJMSR/article/view/2185 PRE-EXTENSION DEMONSTRATION OF SHIRO TYPE FIELD PEA TECHNOLOGIES IN THE HIGHLANDS OF GUJI ZONE, OROMIA REGIONAL STATE, ETHIOPIA 2024-02-10T07:26:52+00:00 Basha Kebede [email protected] Tekle Bobo [email protected] Dembi Korji [email protected] <p style="text-align: justify;"><em>Agricultural research centres have released wide varieties to improve field pea production. However, the productivity of field peas is low due to insufficient demonstration of released and adapted varieties at the farmers’ level. Hence, demonstrating released and improved varieties is the critical approval for large-scale production of field peas. Therefore, this experiment was exhibited at three highlands to estimate profitability and evaluate the yield of shiro-kind field pea varieties. The Bilalo variety was demonstrated with local varieties by 12 farmers in 2022. Yield and costs of production were collected. The data was analyzed through cost-benefit analysis and descriptive statistics. The result indicated that the Bilalo variety gave a better yield (25.92 Qt/ha) than the local variety (18.33 Qt/ha). Cost-benefit analysis indicated that the Bilalo variety gave better returns (108672 ETB/ha) than the local variety (54022 ETB/ha). Farmers prefer the Bilalo variety because it provides a higher harvest, is more disease tolerant and has a higher market value over the local variety. The improved Shiro field pea variety is significant for yield increment and profit growth. Thus, the Bilalo variety should be used for shiro-type field pea production in highland areas. Additional research is desirable to promote the Bilalo variety through scaling up in the highlands and similar agroecology of the Guji zone. </em></p> <p style="text-align: justify;"><strong>JEL Classification Codes: </strong>Q16, O32, O13.</p> 2024-02-10T07:26:52+00:00 ##submission.copyrightStatement## https://www.cribfb.com/journal/index.php/BJMSR/article/view/2186 EDUCATION IN THE ERA OF ARTIFICIAL INTELLIGENCE: AN EVIDENCE FROM DHAKA INTERNATIONAL UNIVERSITY (DIU) 2024-02-10T09:06:56+00:00 Saikat Pande [email protected] Jannat Sharmin Moon [email protected] Md. Fazlul Haque [email protected] <p style="text-align: justify;"><em>This study investigates the transformative impact of artificial intelligence (AI) on education, assessing both its advantages and drawbacks. Employing the random sampling survey method, data was collected from 160 participants at Dhaka International University. The respondents, predominantly aged between 18-21 years with an average age of 20.6, exhibited varying levels of awareness regarding AI tools- 46 percent were familiar, 44 percent somewhat aware, and 10 percent unfamiliar. Notably, 72.5 percent of participants gained knowledge about artificial intelligence through online sources such as websites, research papers, and forums. The study identified prominent AI tools used by respondents, with ChatGPT being the most widely employed, alongside Google Translator, Microsoft Bard, Grammarly, QuillBot, and YouChat. ChatGPT, in particular, found extensive application in academic studies, research, website development, and app development. Interestingly, 17.5 percent of respondents reported being paid users of AI tools. Beyond usage patterns, the research delved into the efficacy of AI in enhancing education, addressing privacy concerns, and exploring associated challenges, benefits, impacts, ethical considerations, and potential future directions. Employing a Likert scale for assessment, the study concludes by advocating for the integration of AI in education while underscoring the imperative for safeguards to mitigate potential misuse. This comprehensive exploration provides valuable insights into the evolving landscape of AI within the educational sector.</em></p> <p style="text-align: justify;"><strong>JEL Classification Codes: </strong>I2, O33, I21, C83, K31. &nbsp;&nbsp;&nbsp; </p> 2024-02-10T00:00:00+00:00 ##submission.copyrightStatement##