How Data Science Is Changing The Education Industry?

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How Data Science Is Changing The Education
Industry?
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Outline

• Motivation
• Examples Data Science in Education Sector
• Impacts of Data Science in the education sector
• Recognizing and targeting potential students
• Improving education delivery
• Addressing specific needs of different
  demographic
• Improving satisfaction and retaining students
• End Notes

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Motivation

• The world is changing very fast.
• The driving engine behind this change is
  technology.
• One of the hot technology these days is Data
  Science.
• Data Science has the potential to answer crucial
  questions and add huge value to the business.
• Big data
• Sensor technologies, architecture to implement it
  at a large scale and collecting data from various
  sources is empowering various businesses.
• Resulting in the start of new ones.
• Each and every sector of the industry is trying
  to use this huge amount of data in one way or
  another.
• How Data Science is Changing The Education
  Industry?

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Examples Data Science in Education Sector
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Examples Data Science in Education Sector
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Impacts of Data Science in the education sector

• The use of the Big Data in education in the last
  two years is continuously on the rise (last
  slide).
• Data Science can make impact in the education
  sector.
• Recognizing and targeting potential students
• Improving education delivery
• Addressing specific needs of different
  demographic
• Improving satisfaction and retaining students

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Recognizing and targeting potential students

• Educational institutions are always looking for
  potential students.
• Data Science (Big data) is definitely helping
  this in a big way.
• Data Science has a lot of options to do this in
  an innovative way.
• Examples targeting customers on social networks
  like Facebook, Twitter, Instagram, etc.

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Improving education delivery

• Various data from the students
• lots of useful information for the educators
• use to improve their services
• also to modify the delivery for more
  effectiveness
• We know students progress, strengths, and
  weaknesses analyzing the data from
• student's classroom Assignments Exams
  presentations extracurricular activities
• Effectiveness can be assessed by analyzing the
  data related to students performance during the
  semester/course.
• Educators can design new programs for a specific
  group of students
• to meet their specific needs reduce dropouts

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Addressing specific needs of different demographic

• Students from different geographical regions
• different educational needs Interests
  Motivation
• Data from various sources
• in the institutions outside the institutions
  students applications queries that students are
  making related to their career choices
• Big Data has this information
• We need to tap this to design effective methods
  and delivery for the students from different
  demographics.

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Improving satisfaction and retaining students

• An institute can use data analysis to measure
• satisfaction level of the enrolled students
• satisfaction level of their parents
• We can take corrective measures
• to address this lack of satisfaction build more
  confidence
• So institutes can
• retain students increase future enrollment make
  business profitable

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End Notes

• Data Science has the potential to improve the
  education sector.
• Data Science has the potential to make an impact
  in the education sector in a big way.
• Data Science empowers us at Regenesys to make the
  education sector
• more lucrative
• more profitable
• more successful
• Data Science helps students in the success of
• their academics
• professional careers