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During any crisis situation like a pandemic, war or natural disaster, online/blended learning could meet the academic needs of the learners in a bigger way. The use of information and communication technology (ICT)-based technologies has converted the entire teaching pedagogy to a learner centred pedagogy, following which the skills of using technology are to be seen as the most essential qualifications on the part of both the teachers/educators and learners. Therefore, the purpose of this paper is to understand the perceptions of the teachers and learners regarding the use of online/blended learning modes in teaching learning transactions. Another purpose of the paper being to find out the prospects and challenges of providing online/blended learning in a country like India, particularly during and in post-Covid-19 situations.

The academic analytics approach was used for the study. A structured questionnaire was designed in Google Forms covering the perceptions of the teachers and learners in different Indian universities and colleges regarding online/blended services and analysis was done using Google Analytics. Further, analysis of the data received had been done by using simple statistical tool like percentage.

Blended learning could be the solution for providing education in the context of the 21st century India. However, unlike in case of the conventional education, open education has widened the scope of learning adhering to the motto – “Bring your own device” to learn. The extensive use of open educational resources, massive open online courses, social media and meeting apps during the Covid-19 lockdown, has opened up the minds of the knowledge-hungry people, further enabling them to receive the necessary educational inputs, training and skills even during the current pandemic situation. This is going to have a big impact in the ways of educational transactions in the days to come.

The discussions in the paper are limited to a study of representative states of India, and it is a general study only. The sample size was limited to only 120 as the response rate was significantly low compared to the number of addressees to whom the questionnaire was sent.

This study will help in understanding the present state of online/blended learning in a country like India. The use of online learning was no doubt intensified by the sudden outbreak of the Covid-19 Pandemic. However, the study will also help in preparing a roadmap, at the policy level, regarding the beneficial use of online/blended teaching learning models both by the teachers and learners during any future crisis-like situations in a country like India.

Through this paper, a new social constructivism has been visualised to know the acceptability of online/blended learning opportunities on the part of the teachers and learners across India. If that social constructivism can actually be realised through the benefits of online learning, India might emerge as one of the important leaders of education in the coming days. To that extent, the Covid-19 pandemic can be seen as a blessing in disguise.

It is important to examine the perceptions of both teachers and learners on the use of online learning in their regular curriculum transactions most particularly when the whole world is facing the brunt of the Covid-19 pandemic, which has adversely affected millions of learners across the world. The paper is original because it explores the current state of online/blended learning in a developing country like India to provide a practical and realistic vision of a new way of learning in the post-Covid-19 situations.

Lifelong learning needs to be visualized as the milestone for generating a progressive and knowledge society. Because it is through lifelong learning that one can continuously upgrade one's knowledge and acquire the relevant skills for getting livelihood opportunities. Moreover, for ensuring a sustainable and advanced society in the 21st century industrial setup, people are desirous to receive a global form of learning as they tend to follow the principle, that is, “earning while learning”. In this context, the various types of online courses, Massive Open Online Courses (MOOCs) and Open Educational Resources (OERs) provide myriad opportunities to the people by introducing them to a global form of learning. Against this background, the introduction of MOOCs in India for providing lifelong learning opportunities might work in a big way. However, to what extent, can MOOCs promote the idea of lifelong learning in a vast country like India needs to be discussed in greater detail.

While writing the paper, descriptive research methodology has been used. The sources such as Report of Census 2011, Human Development Report 2016, 2018, Economic Survey 2016 are also consulted. Analysis has been done based on the data extracted from the secondary source of information.

The literature review made in the paper implies that the educational institutes across India may adopt some of the good national and international practices for transforming the society and produce some need-based MOOCs under the SWAYAM platform with regard to providing opportunities of lifelong learning. Thus, the courses run through SWAYAM should help in achieving the three cardinal principles of the Indian Education – access, equity and quality. However, there are many challenges to be met while the adoption and development of MOOCs for the purpose of lifelong learning in India are taken into consideration. The current modes and popularity of digitally offered education in India thus need to be justified.

The discussions made in the paper are limited to a reference to the Indian MOOCs particularly under SWAYAM, and it is a general study only.

It is important to note that a new kind of transformation is currently being initiated across the world by encouraging more and more online interventions in the field of education. In fact, various studies are also being conducted on the implementation of online courses across the world, particularly in the developed countries where more than 70% education is delivered online. However, in a country like India, the practical utility or the implementation of the online courses such as MOOCs is not so popular even at present, and it is only limited to a small section of the society. The University Grants Commission (UGC) with a view to promoting CBCS as well as Credit Transfer made 20% course delivery through MOOCs mandatory in Indian higher education. However, the CBCS system itself has several loopholes considered in the Indian context, as it was launched without sufficient ground work, and no one seems to have a clear idea of its implementation method. The UGC's move was to introduce a system of education that would help in bringing parity of Indian higher education with Western or European higher education systems. This paper shall try to imply how the Indian MOOCs should be used in providing lifelong learning opportunities to the people of the country.

This paper refers to a new social constructivism initiated through MOOCs, where a learner can directly interact with the people in the community, share their own ideas and thoughts and collectively undertake new researches. This is sure to transform the Indian society in the days to come, although a study on the usefulness of the existing MOOCs is of utmost necessity

This paper reiterates the necessity of a detailed study of the available MOOCs in India based on the findings of the common problems and challenges of MOOCs development and implementations that need to be resolved first. Then the paper provides an analysis of this situation so that one could develop or adopt a MOOC in order to meet one's need of lifelong learning in a country like India.

To meet the requirements of high-dimensional accuracy and surface finish of various advanced engineering materials for generating intricate part geometries, non-traditional machining (NTM) processes have now become quite popular in manufacturing industries. To explore the fullest machining capability of these NTM processes, it is often required to operate them while setting their different controllable parameters at optimal levels. This paper aims to present a novel approach for selection of the optimal parametric mixes for different NTM processes in order to assist the concerned process engineers.

In this paper, design of experiments (DoE) and technique for order preference by similarity to ideal solution (TOPSIS) are combined to develop the corresponding meta-models for identifying the optimal parametric combinations of two NTM processes, i.e. electrical discharge machining (EDM) and wire electrical discharge machining (WEDM) processes with respect to the computed TOPSIS scores.

For EDM operation on Inconel 718 alloy, lower settings of open circuit voltage and pulse-on time and higher settings of peak current, duty factor and flushing pressure will simultaneously optimize all the six responses. On the other hand, for the WEDM process, the best machining performance can be expected to occur at a parametric combination of zinc-coated wire, lower settings of pulse-on time, wire feed rate and sensitivity and intermediate setting of pulse-off time.

As the development of these meta-models is based on the analysis of the experimental data, they are expected to be more practical, being immune to the introduction of additional parameters in the analysis. It is also observed that the derived optimal parametric settings would provide better values of the considered responses as compared to those already determined by past researchers.

This DoE–TOPSIS method-based approach can be applied to varieties of NTM as well as conventional machining processes to determine the optimal parametric combinations for having their improved machining performance.

This paper reports a new technique for achieving optimized design for power system stabilizers. In any large scale interconnected systems, disturbances of small magnitudes are very common and low frequency oscillations pose a major problem. Hence small signal stability analysis is very important for analyzing system stability and performance. Power System Stabilizers (PSS) are used in these large interconnected systems for damping out low-frequency oscillations by providing auxiliary control signals to the generator excitation input. In this paper, collective decision optimization (CDO) algorithm, a meta-heuristic approach based on the decision making approach of human beings, has been applied for the optimal design of PSS. PSS parameters are tuned for the objective function, involving eigenvalues and damping ratios of the lightly damped electromechanical modes over a wide range of operating conditions. Also, optimal locations for PSS placement have been derived. Comparative study of the results obtained using CDO with those of grey wolf optimizer (GWO), differential Evolution (DE), Whale Optimization Algorithm (WOA) and crow search algorithm (CSA) methods, established the robustness of the algorithm in designing PSS under different operating conditions.

The purpose of this paper is to develop a concept and design to cast Al alloys/metal matrix composites (MMCs) by continuous casting process. The various steps involved in the evolution of the design have been reported and discussed in this study.

On the basis of developed design concept, initial prototype design has been prepared in this study. The casting process's melt flow pattern was studied via computer simulation, and the resulting changes were implemented in the original design. The single-phase fluid flow pattern through bottom feeding technique is studied. The equipment was fabricated based on computer simulation and water modelling studies. Finally, validation was performed for the preparation of Al alloys/ MMCs after parameter optimisation. The results were observed in the optical metallography to confirm the alloying and Al MMC preparation.

The developed continuous casting process with bottom feeding technique for the addition of constituent particles shows more efficiency in comparison to the existing batch processes. The final manufactured setup demonstrates effective Al alloy/MMC production as the basis for final fabrication has been accomplished by both computer simulation and water model test. In addition, the microstructure exhibits homogeneous distribution, validating the reliability of the setup.

Integrating continuous casting with continuous reinforcement or master alloy addition is novel in this area. The constraints that batch production had that have been rectified will also lower the contemporary cost of production.

The purpose of this study is to develop black pigmented ceramic stoneware bodies that integrate various aspects of material composition and color potential. Recent research has explored black pigmented calcium aluminosilicate glass (BPCG), a specialized material known for its unique properties, which holds promise for transforming the color capabilities of traditional ceramics.

In this investigation, initially composite ceramic sample (B-1) was prepared by milling process prior to sieve analysis to attain the particle size within 44 microns. Microanalysis and morphology and thermography were studied by energy-dispersive X-ray spectroscopy, scanning electron microscope and thermogravimetric analysis and found Sample-B-1 received attractive properties like firing shrinkage, porosity, bulk density and firing strength along with good pyro-plastic properties at various temperatures like 950°C, 1050°C, 1000°C and 1180°C. Furthermore, BPCG-assisted pigmented ceramic composites were synthesized with B-1 matrix. CIE lab investigation of the attributed composites (C-series) within selective soaking range of 5–20 min was performed, and the investigation found that prominent black hue appeared (L: 24.09, a*: −0.17, b*: −0.49) for C-10 containing appeared phases of Di-Co-Silicide (26%), Ni-Chromite, Stilpnomelane (rich in iron) as obtained by X-ray diffraction studies.

Ceramic material played a significant role in the realms of art and craft, as well as in technology. The artistic facet reveals concepts or ornamentation, while the craft echoes both traditional and functional appeal. Technology, on the other hand, involves the logical implementation behind the creation.

This C-10 Sample comprised the lower percentage of mullite which attributed that the BPCG homogeneously mixed in the matrix of base (B-1) and appeared as spinal staff. Therefore, BPCG was a potential candidate for ceramic metallization, and this traditional metallization processes often faced some challenges like uniformity and mixing in the ceramic composite domain practices. This study aimed to open up new avenues for artistic decoration and bridging the gap between traditional craftsmanship and modern technology. Furthermore, BPCG’s role in color assessment through shocking techniques added an exciting concept for the ceramic practitioners, designers or ceramic educators.

Foreign direct investment (FDI) has a critical role in boosting agricultural productivity and the growth of emerging economies. The relationship between FDI inflows and environmental factors has not received much attention in identifying its impact on agricultural output. Using annual time series data from 1990 to 2023, this study examines the causal association and short- and long-run effects of FDI inflows, forest coverage and CO2 emissions on the agricultural productivity of the India, China and US (ICU) economies. The autoregressive distributed lag (ARDL) results confirmed that FDI inflows have a significant and positive impact on Indian and Chinese agriculture productivity, whereas CO2 emissions adversely affect US agriculture productivity in the long run. In the short run, CO2 emissions led to agricultural productivity in both China and the US economies. The bound test and error correction model (ECM) result also confirmed the long-run connection and convergence of the equilibrium path among the studied variables except India. The findings of the Granger causality test showed a unidirectional causal link between agriculture productivity and FDI inflows and forest coverage in India and a bidirectional causal link between CO2 emission and agricultural yield and forest coverage and CO2 emission in the Chinese agriculture sector. The study also revealed a unidirectional causal association between forest coverage and agricultural output and between FDI, CO2 emissions and forest coverage in the US agriculture sector. Policymakers were advised to encourage FDI in the agriculture sector and expand the use of environment-friendly technology to decrease carbon emissions and promote forest coverage for sustainable growth and higher agricultural production.

Industrial organizations often face difficulties in finding out the methods to meet ever increasing customer expectations and to remain competitive in the global market while maintaining controllable expenses. An effective and efficient green supply chain management (GSCM) can provide a competitive edge to the business. This paper focusses on the selection of green suppliers while simultaneously balancing economic, environmental and social issues.

In this study, it is assumed that two types of decision-makers (DMs), namely, the first level and second-level DMs operate at two separate groups in GSC. The first-level DMs always empathise to optimize carbon emissions, per unit energy consumption per product and per unit waste production, while the second-level DMs seek to optimize ordering costs, number of rejected units and number of late delivered units in the entire GSCM. In this paper, fuzzy goal programming (FGP) approach has been adopted to obtain compromise solution of the formulated problem by attaining the uppermost degree of each membership goal while reducing their deviational variables. Furthermore, demand has also been forecasted using exponential smoothing analysis. The model is verified on a real-time industrial case study.

This research enables DMs to analyse uncertainty scenarios in GSCM when information about different parameters are not known precisely.

The proposed model is restricted to vagueness only, however, DMs may need to consider probabilistic multi-choice scenarios also.

The proposed model is generic and can be applied for large-scale GSC environments with little modifications.

No prior attempt is made till date to present interval type-2 fuzzy sets in a multi-objective GSC environment where the DMs are at hierarchical levels. Interval type-2 fuzzy sets are considered as better ways to represent inconsistencies of human judgements, its incompleteness and imprecision more accurately and objectively. Also, crisp or deterministic forms of uncertain parameters have been obtained by taking expected value of the fuzzy parameters.