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Nowadays, a huge amount of ambiguous e-learning materials are available in World Wide Web irrespective of various objectives. These digital educational resources can be reused and shared from centralized online repository and it will avoid the redundant learning material. The main goal is to design consistent adaptable e-learning course material for web-based education system with emphasis on the quality of learning. This can be done by organizing learning object in a prescribed manner and it can be reused in feature. Such reusable learning objects are enhanced further to become adaptive reusable learning objects that are virtually cognitive and responsive towards the specific needs of the user/customer. This paper proposes the cognitive architecture to offer an adaptive reusable objects (RLO) based on individual profile of e-learner besides their cognitive behaviour while learning.

Rapid declination of fossil fuel and environmental pollution is a matter of concern for modern society. A substantial part of these fuels is used for generation of power. Thus, conservation of electricity can slow down the decaying of these fuels, expenditure of money and environmental pollution. Educational institutes are one of the leading consumers of power. There are a lot of opportunities by which electricity in institutes can be preserved. This study explores and analyzes building-wise and equipment-wise energy consumption during the summer season in a typical institute located in the north-eastern part of India. The possibilities of curbing electricity, money, fossil fuel and the emission of greenhouse gas have also been investigated in the paper. It has emerged from the result that electric fans and lighting arrangements draw maximum electricity in summer. They devour 72.99% of the total energy used in the institute. Adoption of some simple methods for energy conservation can save 13,779.60 kWh of electricity and 35.39% of its bill per month. Thus, 3030.91 kg of natural gas can be retained and consequently, 15,114.88 kg of greenhouse gas can be prevented from emission.

Communication plays an important role in our everyday life. Good communication is therefore vital for effective functioning in the work environment. There is overwhelming evidence that proficiency in communication skills can make any individual more versatile, and thus more competitive in the workplace. Communication is a mode, which helps every one of us to transfer our messages, thoughts, feelings, thinking, imagination and ideas. This is a function pre-installed or naturally exists in every human being to show his/her existence by language. Thus, every student certainly needs effective and impressive communication skills. As a result, there are growing expectations from educational institutions to cater the needs of the workplace. One of the major issues we need to address includes, what measures should be taken to make the students work-ready‘? In this perspective, Teachers have an important role to play in enhancing the communication skills among students. Considering the diversity in the classroom, there is a growing demand to use innovative methods and strategies, including framing good quality instructional resources to enhance various sub-skills of communication among our students. An attempt is made in this article, to contribute to the ongoing discussion in the changing contexts of communication skills from the perspective of preparing our students to face future challenges. The paper shares ideas on enhancing the four core elements of Communication skills, including listening, speaking, reading and writing skills in order to get an edge up in the competition for work and employment.

In teaching safety principles and safety information, today’s laboratory assignments are crucial elements of any safety education program. Besides, it is essential to use a hands-on method based on a simulation laboratory environment. This method offers a simple and more affordable solution for creating security labs where everyone can trial with attack and defense techniques. We can use them in budget-friendly lab-based institutions. Cisco Packet Tracer (CPT) is a training simulation tool designed to create and test network architecture. The objective is to utilize CPT more readily to comprehend firewalls’ fundamental ideas in a virtual research facility. This paper additionally talks about the effect of offering CPT to the understudies and the teachers’ suppositions on the instrument. Utilizing the device was found to assist understudies with seeing teaching aids simpler at a cost-efficiency yet influenced the measure of teaching aid that could be secured and handed with a teacher. This article will see LANs set up in different LABs of educational organization and its firewall settings to see the various challenges we face providing firewall settings to the LAN.

A study was undertaken to compare the awareness about muga culture among the college students in Jorhat district of Assam. Significant differences were found between the male and female students, and between rural and urban students. On the other hand, significant differences were found in the case of awareness on muga culture between Arts and Science stream students, and Arts & Commerce stream students.

Realizing the attitude of teacher educators towards ICT is essential to incorporate its betterments in teacher preparation programmes. This study examined the difference between teacher educators’ attitude towards ICT and their level of attitude; whether it is favourable or unfavourable? The participants were the teacher educators of Colleges of Education in Coimbatore, South India. Cluster Sampling was adopted. Results indicated significant difference in their attitude with respect to their locality of home. Majority of teacher educators have favourable attitude.

Stress in medical students is a burning issue these days, prolonged stress among students is leading to different psychological disorders. The aim of the present study is to make a comparison of the stress levels experienced between a government medical college’s students and private medical college’s students of Guntur district, Andhra Pradesh. The total sample size of the study was 507. Findings of the study revealed that there is a significant difference between the stress experienced by government medical college students and private medical college students. Respondents were using different coping mechanisms like going to shopping/movies/watch TV/internet/listening to music to relax, keeping the sense of humor, etc., to overcome the stress. Attention should be paid to the students to address this issue.

This study tries to find out about what are the most significant impacts of COVID-19 on daily labor-based workers in Kathmandu. The study tries to understand their issues and problems related to health, education, income, debt, food security and employment. The informal workers are facing several obstacles and problems, but the only thing they need at the time of pandemic is nothing more than basic needs for survival. 84 % of informal workers are not concerned about their health, education, and jobs, but are more concerned with the essential requirement of everyday life for survival in Kathmandu Valley. Everyone’s life is precious, and their life is more precious for the economy moveable; therefore they should be treated as frontline workers to vaccinate against of COVID-19, it should be carried out as soon as possible.

Machine learning techniques are widely used to take intelligent decisions in industrial and educational domains. In the educational domain, when a research scholar submits a dissertation, then it has to be indexed and classified. The number of dissertations that are submitted in an educational institute is usually high and if done manually, it becomes difficult to index and classify correctly. This study applies machine learning techniques to automate the indexing and categorization of dissertations. We have focused on dissertations from the Engineering, Medical, Social Science, and General Science fields. We used the Bag of Words (BoW) method to extract features and K-means, Density-based spatial clustering of applications with noise (DBSCAN) and Expectation-Maximisation (EM) to train our model. Our experimental results reveal that the proposed K- means technique for indexing and categorization leads to higher accuracy and significant reduction in negative predictions as compared to DBSCAN and Expectation-Maximisation (EM).