How Machine Learning is helping students to take online exams
                     HOW MACHINE LEARNING IS HELPING 
STUDENTS TO TAKE ONLINE EXAMS
MACHINE LEARNING
 Machine learning is a branch of artificial intelligence 
(AI) that lets computers learn from all prior 
knowledge and decide on informative choices. 
Source: onlineexamhelp.eklavvya.in
MACHINE LEARNING IN EDUCATION
 The machine learning method involves gathering and preserving a rich data set and 
converting it into an organised information base with diverse uses in various fields. 
 In the area of education, teachers can spare time by accepting machine learning in their 
non-classroom activities. 
Source: www.emergingedtech.com
EXAMPLE
 Teachers, for example, may use virtual assistants that work for their students online 
from home. This sort of help helps to improve the learning experience of students and 
can enhance movement and student achievement.
Source: www.analyticsinsight.net
INNOVATION 
 Innovation is currently everywhere, particularly in the world of education, where it has proved to be 
crucial to students' comprehension of learning outcomes. 
 Schooling is not merely the teaching of text at this stage, or asking the pupil to hold original manuscripts. 
 The learning period has become an operation with concrete aims and outcomes, both within and outside 
the classroom. 
Source: www.analyticsinsight.net
ONLINE MODE OF EDUCATION
 As a cornerstone in education, the advancement from the pen-and-paper paradigm to the online 
model and eventually to AI-based (Artificial Intelligence-based) examinations has come in. \
 On-the-go ease, accessibility to social media sites, access to resources, and reliable findings 
improve online education in a remarkable way. 
Source: www.analyticsinsight.net
ARTIFICIAL INTELLIGENCE
 The introduction of artificial intelligence into the 
education landscape has revolutionised higher 
education and the shift has been thoroughly 
adopted by colleges that influence AI-based 
assessment technologies to support their 
educational strategy and deliver research.
Source: www.analyticsinsight.net
AI-BASED EXAMINATIONS
 Via AI-based examinations, auto proctoring offers strong time-based and cost-effective solutions. Auto-
proctored experiments minimise the cost by a third, making it an inexpensive technology. 
 In exams taken by students from every part of the globe, the auto proctor behaves like a human superhero. 
Because of its intelligent features that help build a cheat-proof environment, creativity has become strong. 
Source: www.goodfirms.com
ANALYTICS
 Another example that uses machine learning, a high-level form of artificial intelligence, to discern trends 
in consumer activity that may indicate attempts to deceive is Stronger Analysis. Its imagination will also 
automatically mark multiple-choice responses and mathematics tests. 
Source: www.smartdatacollective.com
CAPTURE CHEATING INSTANCES
 Analysts have been chipping away at speech recognition for quite some time to enable devices to interpret human 
language. 
 A voice-empowered auto proctor separates sound for confirmation and mixes it with some background noise by offering a 
graphical representation of speech patterns to dispense with cheating instances. 
Source: www.proctortrack.com
STATISTICS
 Because of its machine learning calculations 
that can classify speech and reply with realistic 
results, Google's machine achieved a 95 
percent word accuracy rate for the English 
language as of May 2017. This indicates a 
nearly 20% increase from 2013. 
Source: www.analyticsinsight.net