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In this paper, the effectiveness of training faculty in laboratory teaching (the teaching of science in a laboratory setting using experiments and similar exercises) through the use of Information and Communications Technology (ICT)--virtual technologies for faculties in institutions of higher education in the Indian state of Kerala--was evaluated and measured. The efficacy of employing ICT to train teachers in higher education is important, and we have identified 5I factors (innovative, interactive, involvement, informative, and influential) to help ascertain the effectiveness of such technology training during pandemic teaching. The laboratory learning using VL can describe the student's engagement in the online learning process. This work more specifically identifies how ICT helps in laboratory teaching and identifies the critical pedagogical aspects of the ICT. If the technology has these 5I factors, then it will be an effective teaching method for laboratory learning. Here, we used the ICT-virtual labs in science as the technology to evaluate these five factors. The research first began by conducting an ethnicity profile of science teachers in the middle and high/secondary stages of school consisting of classes "VII," "IX," and "X" (i.e., students of ages 11 to 15). To evaluate the use of VL in the 5I framework, the faculties in science were divided into experimental and control groups (n = 101). The experimental group practiced in a virtual lab in the first stage, but the control group did not. Test I was then performed on both groups. In the second stage, both groups practiced with real lab equipment, and test II was conducted on both groups. The tests and other data from the two groups were statistically analyzed using independent t tests. There were notable differences between the experimental and control groups: in terms of time for understanding the concepts behind the experiment, time for doing the experiment, and accuracy in results, with the experimental group performing significantly better. On the other hand, there was no significant difference between the two groups in task completion accuracy. Overall, there was a beneficial transfer of training from the virtual lab exercise to the real lab, with the experimental group's average score being higher.

Augmented Reality (AR) is growing technology that superimpose 3D images onto real world. This enhances the user's real-world experience. This potential of AR can be utilized effectively in teaching learning for engineering graphics course. There is visualization limitation for engineering students entering in first year, and this leads them to face difficulty in understanding and developing orthographic, isometric and section view of models. AR can empower the students to visualize the actual virtual object in 3D view to match their imagination with augmented object. In this regard initially a framework of AR is conceptualized for the course of engineering graphics & an AR application is developed. This paper mainly focuses on investigation and impact of AR technology on interactive teaching learning process in engineering graphics. Impact of this technology is measured by student's performance in AR interactive test. The result shows increase in student's performance in written test by 18.52% in engineering graphics and in mental rotation test by 28.97%.

Purpose: This paper aims to present a comprehensive review of the present state and trends of smart education research. It addresses the need to have a systematic review of smart education to depict its research landscape in view of the growing volume of related publications. Design/methodology/approach: A bibliometric analysis of publications on smart education published in 2011 to 2020 was conducted, covering their patterns and trends in terms of collaboration, key publications, major topics and trends. A total of 1,317 publications with 29,317 cited references were collected from the Web of Science and Scopus for the bibliometric analysis. Findings: Research on smart education has been widely published in various sources. The most frequently cited references are all theoretical or discussion articles. Researchers in the USA, China, South Korea, India and Russia have been most active in research collaborations. However, international collaborations have remained infrequent except for those involving the USA. The research on smart education broadly covered smart technologies as well as teaching and learning. The emerging topics have addressed areas such as the Internet of Things, big data, flipped learning and gamification. Originality/value: This study depicts the intellectual landscape of smart education research, and illustrated the evolution and emerging trends in the field. The results highlight its latest developments and research needs, and suggest future work related to research collaborations on a larger scale and more studies on smart pedagogies.

In the present paper, we have provided a five-compartmental epidemic model in an interval environment to analyze the spread of COVID-19 infection in India. The proposed model divides the entire population of India into five classes. They are susceptible, exposed, asymptomatic, symptomatic, and recovered classes. Under some suppositions, the crisp model is constructed and converted to an imprecise model by the interval number. We introduced a parametric functional form of an interval number to study the imprecise epidemiological model. The main objective of this study is to develop an epidemiological model in an imprecise environment and to try to understand the dynamics of the epidemic model of COVID-19 infection spread in India. We also presented the COVID-19 model with two controls to effectively control COVID-19 disease in India. Finally, a numerical simulation is carried out considering that the model parameters are imprecise. The numerical results show that our proposed imprecise model is reliable from a practical point of view. [ABSTRACT FROM AUTHOR]

Analysis of pre-monsoon convective systems over the southern peninsular India has been performed using C-band radar and numerical simulation. Statistics on the radar polarimetric measurements show that the distribution of differential reflectivity (Zdr) and specific differential phase (Kdp) have much higher spread over convective regions. The distribution of Kdp is almost uniform across the vertical over the stratiform regions. The mean profile of Zdr over stratiform regions shows a distinct local maxima near melting level. A comprehensive analysis has been done on an isolated deep convective system on 13 May 2018. Plan position indicator (PPI) diagrams and satellite measured cloud top temperature demonstrate that pre-monsoon deep convective systems can develop very rapidly within a very short span of time over the region. Heavy precipitation near the surface is reflected in the high value of Kdp (>5° km−1). High values of Zdr (>3 dB) were measured at lower levels indicating the oblate shape of bigger raindrops. A fuzzy logic-based hydrometeor identification algorithm has been applied with five variables (Zh, Zdr, ρhv, Kdp, and T) to understand the bulk microphysical properties at different heights within the storm. The presence of bigger graupel particles near the melting layer indicates strong updrafts within the convective core regions. The vertical ice hydrometeor signifies the existence of a strong electric field causing them to align vertically. Numerical simulation with the spectral bin microphysics (SBM) scheme could produce most of the features of the storm reasonably well. In particular, the simulated reflectivity, graupel mixing ratio and rainfall were in good agreement with the observed values. [ABSTRACT FROM AUTHOR]

BACKGROUND: Work-related musculoskeletal disorders (WMSDs) are prevalent and have an impact across occupations. However, there are very few studies that document the prevalence of WMSDs in the pump industry. In manufacturing industries, the common issue for WMSDs and physiological stress among the workers is caused by poor working posture. OBJECTIVE: To investigate the occupational risks at the winding station in the pump manufacturing industry. In addition, this study examined the influence of work-study on mitigating occupational risks. METHODS: Workers who were involved in circular coil winding and insulation testing were considered for the study. Awkward postures adopted while performing these tasks cause fatigue, injuries and WMSDs. Tasks were evaluated as per the National Institute for Occupational Safety and Health (NIOSH) standards. A work-study was conducted to better understand the workflow. Virtual ergonomic postural evaluation (Rapid Upper Limb Assessment, RULA) was used to identify the occupational risks. RESULTS: Time taken for making circular windings and insulation testing (7.5 Hp submersible motor) was found to be 4.04 minutes and 0.95 minutes, respectively. A CAD model was used for ergonomic evaluation in the virtual environment. The RULA final score of 2 and 3 is attributed to coil winding and insulation testing. CONCLUSION: For further studies, the whole pump manufacturing process should be taken into account. The ergonomic tools used in this study will considerably reduce the occupation risks at the winding station in the pump manufacturing industry. [ABSTRACT FROM AUTHOR]