Bangladesh Journal of Multidisciplinary Scientific Research

PRE-EXTENSION DEMONSTRATION OF SHIRO TYPE FIELD PEA TECHNOLOGIES IN THE HIGHLANDS OF GUJI ZONE, OROMIA REGIONAL STATE, ETHIOPIA

Basha Kebede, Tekle Bobo, Dembi Korji — Sat, 10 Feb 2024 07:26:52 +0000

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.

JEL Classification Codes: Q16, O32, O13.

EDUCATION IN THE ERA OF ARTIFICIAL INTELLIGENCE: AN EVIDENCE FROM DHAKA INTERNATIONAL UNIVERSITY (DIU)

Saikat Pande, Jannat Sharmin Moon, Md. Fazlul Haque — Sat, 10 Feb 2024 00:00:00 +0000

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.

JEL Classification Codes: I2, O33, I21, C83, K31.

A STUDY ON EFFICIENT MICROORGANISMS ISOLATED FOR DEGRADATION FROM MUNICIPAL SOLID WASTE OF CHHATRAPATI SAMBHAJINAGAR, MAHARASHTRA, INDIA

Abhijit Thorat, Rakshanda Ingale, Vijay Rakte, Ketki Sangle, Sanjaykumar Thorat — Sat, 16 Mar 2024 10:38:12 +0000

With rapid industrial development and the progress of civilization, the problem of increased waste generation has become more complex in urban areas. This research evaluates the composition and characteristics of municipal solid Waste produced in a representative residential neighbourhood. Ten samples were taken from the disposal site of the Chhatrapati—Sambhajinagar (Aurangabad) city area. Gathered from garbage, nine bacterial isolates were made using a nutrient agar medium. Investigations were conducted into the best culture conditions, microbiological traits, biochemical traits within the strains, tolerance to five heavy metals (Cadmium, zinc, Arsenic, lead and mercury), sensitivity to four different antibiotics (penicillin, streptomycin, oxytetracycline, and gentamycin), and extracellular enzyme production of the microbial strains. All six strains that could produce protease were used for the waste degradation efficiency test. Due to these findings, there is now a greater chance of identifying bacteria of scientific significance from municipal waste disposal sites, and these isolates may be a key source of compounds with practical applications in industry. Based on the research, it is possible to extract beneficial bacteria for the environmentally friendly bioconversion of solid Waste from the (Chhatrapati. Sambhajinagar (Aurangabad) city area.

JEL Classification Codes: G32, F65, L66, L25, M41.

EFFECT OF TRAINING PROGRAMS ON TRAINEES’ LEARNING

Md. Faisal-E-Alam — Thu, 21 Mar 2024 09:53:56 +0000

Employees’ learning is the primary driver of organizational sustainability. To achieve sustainability, organizations are required to invest in training for their employees’ continuous learning. Evaluation of training programs is the heart of continuous improvement in employees’ learning. This study investigates the effect of training programs on employees’ learning, focusing on knowledge-based outcomes (KBO), skill-based outcomes (SBO), and affective outcomes (AO). Drawing upon Human Capital Theory (HCT) and the second level of the Kirkpatrick's training evaluation model, a pre-experimental research design and quantitative method were employed. Stratified random sampling technique is used to select a sample of 381 employees from eight Private Commercial Banks (PCBs) of four bank generations in Bangladesh who participated in pre-test and post-test assessments. Statistical techniques including comparison chart, normality tests (Shapiro-Wilk W Test and Skewness and Kurtosis Test), and paired t-test were utilized to analyze the data. Findings indicate significant improvements in KBO, SBO, and AO following training interventions, supported by statistical test conducted using MS Excel v.13. Later, findings from executing STATA v.12 also underscore the effect of training programs on upgrading employees’ learning in the PCBs. Limitation includes the absence of a control group that hinders the influence of potential external factors on learning outcomes, which is a new avenue for future research.

JEL Classification Codes: G21, M53, O15.