Writing Proficiency Assessment: Regression Analysis of Item Response Theory supported by Machine Learning Techniques

Technology holds the promise of greatly altering the conduct of interest assessment. I review five technological advances that currently exist and present how they can be incorporated into our interest measures and procedures: (a) dynamic assessment using item response theory, (b) adapting interpretations to individual users, (c) incorporating response latency, (d) gamification of interest measures, and (e) incorporating big data and machine learning. Using these advances in our assessments and procedures can structurally change what we do and enhance the precision of our measures.

Download Full-text

Item Response Theory Based Ensemble in Machine Learning

International Journal of Automation and Computing ◽

10.1007/s11633-020-1239-y ◽

2020 ◽

Vol 17 (5) ◽

pp. 621-636 ◽

Cited By ~ 7

Author(s):

Ziheng Chen ◽

Hongshik Ahn

Keyword(s):

Machine Learning ◽

Item Response Theory ◽

Item Response ◽

Response Theory

Download Full-text

Music Signal Analysis: Regression Analysis

10.5121/csit.2021.111205 ◽

2021 ◽

Author(s):

V. N. Aditya Datta Chivukula ◽

Sri Keshava Reddy Adupala

Keyword(s):

Machine Learning ◽

Regression Analysis ◽

Deep Learning ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Machine Learning Techniques ◽

Statistical Machine Learning ◽

Ongoing Research ◽

Music Signal ◽

Learning Techniques

Machine learning techniques have become a vital part of every ongoing research in technical areas. In recent times the world has witnessed many beautiful applications of machine learning in a practical sense which amaze us in every aspect. This paper is all about whether we should always rely on deep learning techniques or is it really possible to overcome the performance of simple deep learning algorithms by simple statistical machine learning algorithms by understanding the application and processing the data so that it can help in increasing the performance of the algorithm by a notable amount. The paper mentions the importance of data pre-processing than that of the selection of the algorithm. It discusses the functions involving trigonometric, logarithmic, and exponential terms and also talks about functions that are purely trigonometric. Finally, we discuss regression analysis on music signals.

Download Full-text

Covid-19 pandemic Analysis using Regression

10.1101/2020.10.08.20208991 ◽

2020 ◽

Author(s):

P Raji ◽

GR Deeba Lakshmi

Keyword(s):

Machine Learning ◽

Regression Analysis ◽

Machine Learning Techniques ◽

Contact Tracing ◽

Social Distancing ◽

Learning Techniques ◽

The World

AbstractCovid-19 is a pandemic which has affected all parts of the world. Covid-19 is a pandemic which can be controlled only by maintaining social distancing, proper hygiene, wearing mask, hand sanitation and to a extend by wearing face shield. Even though each state has followed their own ways of controlling the infection, awareness among citizens and behaving as responsible citizens is very important in controlling this disease. Contact tracing plays an important role in controlling this pandemic. This paper deals with the effect of Covid-19 in various states of India and also forecasts its effect using machine learning techniques. Regression analysis like Linear and polynomial have been used for analysis of Covid-19, where Kaggle dataset has been used. This helps in understanding the much-affected states in India and helps to understand the infrastructure requirements to handle this pandemic efficiently.

Download Full-text