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Technology Adoption and Teaching performance: “A Moderating Role for Age” Dipak Mahat
International Journal of Contemporary Sciences (IJCS) Vol. 1 No. 1 (2023): November 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijcs.v1i1.8256

Abstract

Digital Skills vs. Experience: An Age-Driven Investigation of IT and Teacher Performance," explores the intricate interplay between age, information technology (IT), and teaching performance in the context of education. The study used an exploratory approach and used a structured questionnaire with a five-point scale to get first-hand information from 470 different teaching faculty members in Kathmandu Valley. To preserve participant secrecy and anonymity, ethical issues were crucial. The research methodology used powerful data analysis techniques that include correlation, ANOVA, and regression, as well as descriptive statistics. The study's model overview shows that Model H₁ is good at predicting how well teachers will do, as it explains 72.1% of the variation. The ANOVA test shows how important age and IT are as predictors of teaching success together. Regression analysis shows that both age and IT can be used as indicators, with IT having a much bigger effect. Part and partial connections provide more information about how age and IT are connected
Critical Analysis of Noise Pollution and Its Effect on Human Health Tej Bahadur Karki; Raju Bhai Manandhar; Dasarath Neupane; Dipak Mahat; Padam Ban
International Journal of Educational and Life Sciences Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijels.v2i5.1891

Abstract

Noise pollution is an unseen threat. It cannot be seen, although it is present both on land and beneath the water. Any undesired or irritating sound that impacts the health and well-being of humans and other organisms is referred to as noise pollution. It is harmful to human health. According to WHO, more than 70 decibels of sound will be harmful to health. The average noise level in Kathmandu was 66.8 decibels (A), with high-traffic zones producing the most noise, followed by commercial, low-traffic, and residential zones. The main objective of this review paper is to identify the effect of noise pollution on human health. It is a reviewed article. There are different kinds of effects explored in the previous studies such as hearing loss, sleep disruption, cardiovascular disease, social handicaps, reduced productivity, bad social behavior, irritation reactions, absenteeism, and accidents. Noise pollution is a significant problem in Nepal, particularly in Kathmandu. The studies suggest that the enforcement of noise standards and No Horn Regulation can be effective in reducing noise pollution. However, more efforts are needed to monitor and enforce these regulations. Noise pollution can cause a variety of health problems, and it is essential to take measures to reduce it to protect public health.
Strategic Human Resource Planning and Workforce Demographics: A Quantitative Analysis Yadav Prasad Pokharel; Dr. Kriti; Dipak Mahat
International Journal of Education, Management, and Technology Vol 4 No 2 (2026): International Journal of Education, Management, and Technology
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ijemt.v4i2.9535

Abstract

Understanding whether employees’ perceptions of Strategic Human Resource Planning (SHRP) vary across demographic groups is important for evaluating organizational alignment with strategic human resource objectives. This study examined the relationships between workforce demographics and perceptions of SHRP in an organizational context. A quantitative survey design was employed, involving 150 respondents from various hierarchical levels. The sample was predominantly male (87.3%), with the largest proportion of respondents aged 36–45 years (32.0%). Descriptive and inferential analyses were conducted to assess variations in SHRP perceptions according to gender, age, educational qualification, job position, and work experience. Overall perceptions of SHRP were highly positive (grand mean = 4.70 on a five-point scale). Kendall’s tau-b correlation indicated no statistically significant association between work experience and SHRP perceptions (τ = .019, p = .766). Similarly, no significant differences were found according to gender (t = 1.328, p = .186), age group (F = 1.063, p = .377), educational qualification (F = 1.681, p = .157), or job position (F = 0.745, p = .527). These findings indicate that positive perceptions of SHRP were broadly consistent across the demographic groups examined, suggesting substantial workforce alignment with the organization’s strategic human resource objectives. The study contributes empirical evidence that demographic characteristics may not constitute significant sources of variation in SHRP perceptions and supports the development of organization-wide strategic human resource initiatives that engage employees across hierarchical and demographic categories.