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Digital Transformation
in
Higher Education
M Nagarajan IAS
Director, Higher Education
Govt. of Gujarat
Email: naga@na.ga
Date: 08 June 2020
#TheAfternoonBrew by EduLightHouse
1
Digital Transformation In Higher
Education: The Current Trends
• Services transformation
focus
– Creating new education
products and
– Transforming existing
products into digital ones.
– Converting offline lectures
into video ones, creating
digital texts and quizzes.
– Providing digital means for
communication between
students and teachers.
• Operations transformation
– digitalization of all the
common operations
– Viz: students' admission,
registration for programs and
courses, examination,
program development, and
their quality assurance.
– In addition, supporting
services as study planning,
facility management, teacher
allocation, scheduling, etc.
2
Paradigm Shifts
3
Meeting increasingly higher Student
expectations
4
Scaling artificial intelligence to
individualized learning
Personalized teaching & Learning support
5
Investing in higher education from
the corporate sector
• Buildings and Ambience
• Teaching Learning Solutions
• Educational Administration Tools
• Seen as a big market - NOW
6
Increasing college IT budgets to
support new software
• Students view and pay their bills online.
• New roles - curriculum designers and support
staff for LMS.
• AI software promises to improve analytics,
teaching, customer service, and student success.
• A truly dizzying array of software choices is
available as a service in every boutique segment.
• Every SaaS we implement must be integrated in
some way with existing ERP.
7
Feeding an ever-changing pipeline of
opportunity
• Creating a direct pipeline from education to opportunity is
becoming far more difficult
• List of viable careers of tomorrow is changing as fast as the
new tools and platforms educators have available to
prepare their students for them.
• Made more difficult as automation removes functions from
the "humans only" pool of job skills, changing existing
careers and creating entirely new careers as a result of new
technology.
• "Reducing the growing disconnect between what skills
students are leaving universities with and what is needed in
the market should be the fundamental focus of educators
and institutions in our fast-changing future,"
8
Leveraging big data and analytics
• Big data to pinpoint areas students are struggling in and intervene
before it's too late.
– Some examples of retention usage include the following:
– Dartmouth College created a smart app to predict GPA based on
studying, sleep, exercise, and face-to-face interactions. This 10-week
experiment ran in the background and didn't require any manual input
by the students.
– Temple University implemented a Chatbot to lighten the customer call
center's load and improve the website experience. The chatbot has
been a hit and answers common questions from current students,
employees, and prospective students.
– Georgia State University deployed an AI program focused on
identifying and stepping in early for at-risk students using 800
academic and 14 financial risk factors.
– The AI looks at how well students are doing in class, whether they've
skipped class recently, or if a payment has been missed to identify
students in need of instruction or advising.
9
Tackling privacy and security
considerations
• Privacy. Where's the line between providing
personalized answers and unnerving a student
with the amount of private information the
university holds?
• Security. Having access to so much information is
attractive, but it also creates the idea of "rainy
day" information—collecting and keeping all
information in case you need it later.
• But if personally identifiable information (PII) is
not protected effectively, there are major risks to
students and institutions.
10
Collaborative Learning
• Boise State University converted a traditional
computer classroom into a collaborative
learning space using Solstice technology which
allows faculty and students to stream or share
files to any of the monitors in the room.
11
Culture of Innovation
• Teaching delivery and how technology may be
used to support innovation.
• For example, faculty have to take the role of
facilitators to ensure that groups can work
together to generate new ideas, rather than
delivering lectures from a fixed podium.
• According to EDUCAUSE, when at-risk students
used blended learning their pass rates increased
by one third. The students also mastered the
content at a faster rate by 50%.
12
Mobile Learning
Mobile Internet
Users in India
13
Emerging Technologies
• Sensors
• Buildings, Lighting, Mobility etcIoT
• Digital Security
• Transcript VerificationBlockchain
AI
Big Data
• Immersive Experience
• Better LearningAR/VR
• Youtube, Google, Amazon like experience
• Content and Learning Management
• Enhance Student Performance
• Data Management & Analysis
14
7 Myths of Online Education
1. Online teaching is meant for the young and techno-
savvy
2. Online teaching is only a stop-gap arrangement
3. Online teaching is not egalitarian
4. Technology will eventually replace the teacher
5. Students prefer face-to-face interaction, not online
teaching
6. Online teaching-learning is not as effective as face-to-
face mode
7. Degrees and diplomas obtained through online
education are not valid
15
Future lies in Blended Learning
• Two clarifications are required. The kind of
online e-learning that we are discussing is, in
fact, a blend of online and offline.
• Face-to-face interaction is supplemented with
online teaching and this is due to the fact that
regular classes cannot be conducted because
of the lockdown, forcing teachers and
institutions to switch over to the online mode.
• How much to blend ???
16
In Summary
• The biggest opportunity and challenge will be
to "directly connect the skills and knowledge
students acquire in their programs to fulfilling
and sustainable careers after graduation.
• And, how to do it at a cost and in a period of
time that is justifiable for the increasingly ROI-
savvy digital natives and for those already in
the workforce that are forced to re-skill to stay
relevant in the market."
17
Thank You
M Nagarajan IAS
Director, Higher Education
Govt. of Gujarat
Email: naga@na.ga
18

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Digital Transformation in Higher Education M Nagarajan IAS

  • 1. Digital Transformation in Higher Education M Nagarajan IAS Director, Higher Education Govt. of Gujarat Email: naga@na.ga Date: 08 June 2020 #TheAfternoonBrew by EduLightHouse 1
  • 2. Digital Transformation In Higher Education: The Current Trends • Services transformation focus – Creating new education products and – Transforming existing products into digital ones. – Converting offline lectures into video ones, creating digital texts and quizzes. – Providing digital means for communication between students and teachers. • Operations transformation – digitalization of all the common operations – Viz: students' admission, registration for programs and courses, examination, program development, and their quality assurance. – In addition, supporting services as study planning, facility management, teacher allocation, scheduling, etc. 2
  • 4. Meeting increasingly higher Student expectations 4
  • 5. Scaling artificial intelligence to individualized learning Personalized teaching & Learning support 5
  • 6. Investing in higher education from the corporate sector • Buildings and Ambience • Teaching Learning Solutions • Educational Administration Tools • Seen as a big market - NOW 6
  • 7. Increasing college IT budgets to support new software • Students view and pay their bills online. • New roles - curriculum designers and support staff for LMS. • AI software promises to improve analytics, teaching, customer service, and student success. • A truly dizzying array of software choices is available as a service in every boutique segment. • Every SaaS we implement must be integrated in some way with existing ERP. 7
  • 8. Feeding an ever-changing pipeline of opportunity • Creating a direct pipeline from education to opportunity is becoming far more difficult • List of viable careers of tomorrow is changing as fast as the new tools and platforms educators have available to prepare their students for them. • Made more difficult as automation removes functions from the "humans only" pool of job skills, changing existing careers and creating entirely new careers as a result of new technology. • "Reducing the growing disconnect between what skills students are leaving universities with and what is needed in the market should be the fundamental focus of educators and institutions in our fast-changing future," 8
  • 9. Leveraging big data and analytics • Big data to pinpoint areas students are struggling in and intervene before it's too late. – Some examples of retention usage include the following: – Dartmouth College created a smart app to predict GPA based on studying, sleep, exercise, and face-to-face interactions. This 10-week experiment ran in the background and didn't require any manual input by the students. – Temple University implemented a Chatbot to lighten the customer call center's load and improve the website experience. The chatbot has been a hit and answers common questions from current students, employees, and prospective students. – Georgia State University deployed an AI program focused on identifying and stepping in early for at-risk students using 800 academic and 14 financial risk factors. – The AI looks at how well students are doing in class, whether they've skipped class recently, or if a payment has been missed to identify students in need of instruction or advising. 9
  • 10. Tackling privacy and security considerations • Privacy. Where's the line between providing personalized answers and unnerving a student with the amount of private information the university holds? • Security. Having access to so much information is attractive, but it also creates the idea of "rainy day" information—collecting and keeping all information in case you need it later. • But if personally identifiable information (PII) is not protected effectively, there are major risks to students and institutions. 10
  • 11. Collaborative Learning • Boise State University converted a traditional computer classroom into a collaborative learning space using Solstice technology which allows faculty and students to stream or share files to any of the monitors in the room. 11
  • 12. Culture of Innovation • Teaching delivery and how technology may be used to support innovation. • For example, faculty have to take the role of facilitators to ensure that groups can work together to generate new ideas, rather than delivering lectures from a fixed podium. • According to EDUCAUSE, when at-risk students used blended learning their pass rates increased by one third. The students also mastered the content at a faster rate by 50%. 12
  • 14. Emerging Technologies • Sensors • Buildings, Lighting, Mobility etcIoT • Digital Security • Transcript VerificationBlockchain AI Big Data • Immersive Experience • Better LearningAR/VR • Youtube, Google, Amazon like experience • Content and Learning Management • Enhance Student Performance • Data Management & Analysis 14
  • 15. 7 Myths of Online Education 1. Online teaching is meant for the young and techno- savvy 2. Online teaching is only a stop-gap arrangement 3. Online teaching is not egalitarian 4. Technology will eventually replace the teacher 5. Students prefer face-to-face interaction, not online teaching 6. Online teaching-learning is not as effective as face-to- face mode 7. Degrees and diplomas obtained through online education are not valid 15
  • 16. Future lies in Blended Learning • Two clarifications are required. The kind of online e-learning that we are discussing is, in fact, a blend of online and offline. • Face-to-face interaction is supplemented with online teaching and this is due to the fact that regular classes cannot be conducted because of the lockdown, forcing teachers and institutions to switch over to the online mode. • How much to blend ??? 16
  • 17. In Summary • The biggest opportunity and challenge will be to "directly connect the skills and knowledge students acquire in their programs to fulfilling and sustainable careers after graduation. • And, how to do it at a cost and in a period of time that is justifiable for the increasingly ROI- savvy digital natives and for those already in the workforce that are forced to re-skill to stay relevant in the market." 17
  • 18. Thank You M Nagarajan IAS Director, Higher Education Govt. of Gujarat Email: naga@na.ga 18