Journal Vol – 17 No -12, December 2022

FEASIBILITY OF ADOPTION AND OVERVIEW OF ONLINE LEARNING IN INSTITUTES OF PAKISTAN AFTER COVID-19: AN INSTRUCTORS AND LEARNERS PERSPECTIVE

Authors:

Fariha Shaikh, Sania Bhatti, Shafqat Shahzoor Chandio, Muhammad Mujtaba Shaikh

DOI NO:

https://doi.org/10.26782/jmcms.2022.12.00001

Abstract:

The educational process grows intellectual and critical thinking which helps a person to make correct or optimal decisions by using logic, calculations, and experiments. This factor helps a person to use available resources in an optimal way to maximize the outcome. Unfortunately, along with all other areas, the educational process was seized initially during COVID-19 as well. To continue the education process in lockdowns, academia has shifted from traditional learning (TL) towards the online learning (OL) process. Instructors and learners of different academies belong to different fields and backgrounds. Thus, it is not easy to smoothly adopt OL for all of them. Therefore, this study is aimed to conduct a survey to check the feasibility of the adoption of OL for both types of audiences i.e. instructors and learners. The purpose is to compare the thoughts of both audiences and find the difference between them by using different descriptive and inferential statistical techniques and to have a brief overview of OL and TL in the academies of Pakistan. This study will help academies to understand the flaws, gaps, and limitations of OL from instructors' and learners' perspectives as the gaps can be filled by improving existing approaches to make the OL system smoothly adoptable by everyone in Pakistan in the future.

Keywords:

Online Learning,Traditional Learning,COVID-19,Instructor,Learners,

Refference:

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GRAVITY SCORE: NEW METRIC TO MEASURE PLAGIARISM IN TEXT DOCUMENTS USING THE CONCEPT OF GRAVITATIONAL FORCE

Authors:

Srijit Panja

DOI NO:

https://doi.org/10.26782/jmcms.2022.12.00002

Abstract:

Present-day computational capabilities allow digital assets like images, videos, text, and audio have features comparable to those in real-world entities. Location is one such aspect. Similar to real-world bodies being represented by vectors on cartesian coordinates, digital media entities (like text, as discussed in this paper) when encoded, each component of the encoding representing a feature, conceptually should have a vector representation in each such encoding. The concept is put to practice by text encodings (embedding) techniques like Bag-of-words, TF-IDF, Word2Vec, Glove, and Transformer models like BERT, AlBERT etc which create vectors out of the text. This paper aims to use a combination of features in text analogous to mass and distance and propose a new plagiarism index cloning the formula of gravitational force. Parameters like the length of documents/number of words, semantics, frequency of each word, etc, one or many of which are often missed out in prevalent algorithms of text similarity calculations, are important for detecting and measuring plagiarism. The paper aims to consider all such possible parameters in the formulation of a new plagiarism metric to be coined as Gravity Score.

Keywords:

Natural Language Processing,Text Embedding,Text token,Gravitation,

Refference:

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LINEAR TREND LINE ANALYSIS BY THE METHOD OF LEAST SQUARE FOR FORECASTING RICE YIELD IN BANGLADESH

Authors:

Saddam Hossain, Suman Kar, Mohammad Asif Arefin, Md. Kawsar Ahmed Asif, Hossain Ahmed5

DOI NO:

https://doi.org/10.26782/jmcms.2022.12.00003

Abstract:

The method of curve fitting by the principle of the Least Square (L.S) method is a relevant and well-received method of trend analysis, especially to make a project for the future time. The Least Square (L.S) method helps to fit mathematical functions to a given data set. For this research, we accumulated data from the Yearbook of Agricultural Statistics of Bangladesh for the year 2007-08 to 2019-20 with the help of the Bangladesh Bureau of Statistics (BBS) website. We arranged the data according to the proposed method and graphically represented it. This research aimed to forecast the production of rice in Bangladesh with trend line analysis by the method of Least Square (L.S) for the years 2020-21 to 2024-25. As a result, we found an upward trend line for the production of rice in Bangladesh. Therefore the production will be maximum in the year 2024-25.

Keywords:

Least Square Method,Linear Trend Line,Forecasting,Time series,Bangladesh,

Refference:

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A STUDY INTO THE CUTTING-EDGE ADVANCEMENTS IN MATHEMATICS WITH REFERENCE TO COMPUTER SCIENCE

Authors:

Gundu Srinivasa Rao, Panem Charanarur

DOI NO:

https://doi.org/10.26782/jmcms.2022.12.00004

Abstract:

  Mathematical research in the ancient world was especially interesting when put in the context of philosophical ideas. No country has ever thrived without investing heavily in its children's education. It is crucial to achieving this requirement in order to be classified as a “Developed Nation” within a certain time limit. Allocating sufficient funds to Math and Computer Science programs at all educational levels is essential. In contrast to the study of mathematics for practical purposes, pure mathematics focuses only on the study of mathematical ideas themselves. Although the inspiration for these ideas sometimes comes from real-world problems, and the solutions often have practical applications, pure mathematicians are not typically driven by the potential utility of their work. Mathematics has been essential in the IT revolution. There are many examples of how computer science has contributed to modern life, including the information technology sector, the manufacturing sector, satellites, electronic banking and commerce, the communication revolution, the global positioning system (GPS), the geographic information system (GIS), remote sensing, and many more.

Keywords:

Mathematics,Education,Computer Science,Pure mathematics,Applied Mathematics,Real-world Applications,Practical Applications,Information Technology,Satellites,E-Banking,E-Commerce,Communication Technology,Remote Sensing,

Refference:

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