LATEST INNOVATION in EDUCATION.pptx

Welcom
e
to SEAIETI’s
Online International Training
Series

Southeast Asian Institute of Educational Training, Inc.
welcomes you to our online International
Training on Innovative Leadership
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Southeast Asian Institute of Educational Training, Inc.

Speaker’s Profile
Timothy Wooi
Add: 20C, Taman Bahagia,
06000, Jitra, Kedah, Malaysia
Email:
timothywooi2@gmail.com
H/p: +6019 4514007
(Malaysia)
FOUNDER, Tim’s Waterfuel an alternative fuel
supplement using Water to add power to
automobiles.
Rode 24 Countries, 18,290km, 4 months 11
days, 6 3/4 hours from Malaysia to London on
just a 125 cc.
Principal Consultant for Lean and Kaizen
Management.
Certified ‘Train the Trainer’ with 35 over years
working experience.
International Educational Speaker for South East
Asian Institute of Educational Training
Inc.(SEAIETI)
An Innovative Engineer that trains MNC on
Creativity & Innovation for Continuous
Improvement.

Theme
"Turning Educators to Awesome Innovative Leaders"
Objective
 To introduce Educators to new features of
Innovation in Education, with emerging technologies
that will reshape Education
 Preparing Educators with Innovative emerging
technologies and features applicable to practice,
making a difference in School Improvement.
 Developing successful Principals and Leaders to lead
school implementing emerging technologies in leading,
instruction, teaching & learning.

Here is the list of new innovations that will change education.
The 7 Emerging Technologies That Will Reshape Education in
2023.
1. Augmented Reality (AR) & Simulation
2. Adaptive Learning
3. Education Technologies Based on Artificial Intelligence (AI)
4. Usage of 5G Technologies in Education
5. Automation
6. Competency-Based Education
7. Learning Analytics

COURSE DESCRIPTION
This program offers a practical, personalized
learning approach, backed up by theory and
research.
You will be exposed with technology, digital
tools and methodologies of Innovative
Leadership with Emerging Technologies to
sharpen up your leadership capabilities to
understand how to capitalize on your strengths
and improve your weaknesses.
You will get a well-rounded understanding of
Innovation on Education in the digital age to
pair your experience with Leading Digital
Transformation.

M
E
T
H
O
D
O
L
O
G
Y
This course will adopt an instructor-led and facilitated e-
learning model, where the content of the course will be
delivered through elements and activities that are arranged
into a chronological order and where each participant is
expected to perform the same tasks and deliver the same
outputs.
The course is scheduled and led by a qualified instructor
and/or facilitator though an online learning platform.
E-learning content and open educational resources (OER)
for individual study will be integrated with instructor’s
lectures, individual assignments, and collaborative activities
among participants.

M
E
T
H
O
D
O
L
O
G
Y
Learners, facilitators and instructors can use
communication tools such as emails, discussion
forums, chats, polls, whiteboards, application sharing,
and audio and video conferencing to communicate and
work together.
At the end, participants are expected to submit a
technology integrated lesson plan to determine if they
can properly integrate technology in the teaching and
learning process.
Learning activities for the course will be delivered by
an Asynchronous method through online e-learning
that takes place at any time, self‐paced and
time‐independent.

Methodology
Adapting traditional teaching styles to online classroom
environment using technology to deliver and to interact
with Test /Activities which includes;
 discussion
 case studies
 sharing of experience
 practical applications
These will form part of the assessment and will be given in a
soft copy together with a downloadable PPT slides and Video
of lectures.

Mode of Assessment
Submission of Participants’ test answers on reflection,
case studies and feedback on application of learning, to
real work setting, followed by an Evaluation.
Purpose
To gage effectiveness
of Participant’s
understanding of
topics delivered, so as
to apply learning
at real workplace.

Session 1
Augmented Reality (AR) & Simulation

Augmented Reality (AR) in simulation education is when display-
based systems combine real and virtual imagery and are
interactive in real-time.
AR systems allow
learners to interact in
real-world environments
that are enhanced with
virtual imagery.

AR is able to create immersive, hands-on, and stimulating learning
experiences using many kinds of display devices, including
computers, tablets, and smartphones.
Healthcare education programs are
seeing the benefits and advantages
that AR-based learning systems
provide, including remote
instruction and interactive
simulations.

AR is rapidly developing, and due to its flexibility, it is increasingly
used in education, including medical and healthcare education
and training.
By integrating physical and
virtual environments, AR
provides various means of
delivering learning content and
enhancing learners’
experiences.

Examples of AR in Medical Education and Training
Before the advent of basic computer-assisted anatomy programs,
healthcare education used the usual tools of classroom lectures
and textbooks,
eventually enhancing learning with
cadavers, anatomical models, and
standardized participants. But
starting in the 1990s, multimedia
approaches ushered in the era of
technological advances.

From computer-based stereoscopy and software programs like
Microsoft PowerPoint, through the development of virtual reality (VR)
head-mounted displays.
Smartphones and tablets
increased accessibility to
AR, and have proven
invaluable in the age
of COVID-19.

Benefits of AR in Medical Education
It’s difficult to overstate the potential of AR to prepare healthcare
learners for their future profession.
AR-based training can effectively
and efficiently train medical
professionals while offering a
safe educational experience,
addressing specific skills, and
enhancing learners’ experiences.

Benefits of AR in Medical Education
AR learning is fun and interesting, and is becoming associated
with highly positive personal experiences. Students report feeling
confident with the adoption of AR alternatives to traditional
learning,
in part perhaps because of high
levels of digital literacy. Self-
paced learning is facilitated by
learners’ ability to use devices
they already own, without
having to adjust to headset VR
programs.

AR-based learning boosts outcomes in several areas of learning,
including enhanced theoretical knowledge and practical skills.
Support of student
experiences
translates into
improved learning
outcomes.

Knowledge and understanding:
Medical students all are presented with vast amounts of knowledge
pertaining to human anatomy and bodily functions.
AR-based learning programs
has the distinct advantage of
being able to immerse
learners in three dimensional
representations of anatomy,
anatomy systems, and the
way systems function within
the body.

Learners are able to manipulate the digital subject, identify and
explore spatial inter-relationships, and focus on complicated
anatomical structures.
In the digital realm, adding
and subtracting anatomical
structures can help
students understand the
related body functions and
how systems interact.

AR anatomy programs can easily illustrate complex systems that involve
multiple muscle groups.
And finally, the range of
pathologies that can be featured
in virtual representation is only
as finite as the pathologies
themselves and don’t depend on
the limits of a human cadaver or
anatomical models.

Practical skills:
While clinical experience and expensive simulators build practical
skills, they have limited applications in educational programs due to
practical and financial barriers faced by the educational programs a
learner has access to.
In contrast, AR technology is
becoming more widely available
and accessible, and show training
using AR-based tools contributes
to improvements and practical
competence in healthcare
teaching and training.

Challenges and Future Considerations
Some of the challenges of AR technologies are the cost of
interactive platforms design; lack of availability for growing numbers
of learners; and making digital technology available to all students
in an accessible and equitable way.
However, where these
challenges can be overcome,
educators have been successful
in creating student-centric,
engaging, and enriching
experiences for learners.

By making AR-based
learning available on
personal devices, including
smart watches, it would be
less expensive for learners
to adopt.
Digital textbooks, an idea that has been percolating in higher
education for more than a decade, plus mobile learning and
wearable tech, which are newer digital learning platforms, all have
enormous potential.

One example is the use of Google Glass in anatomy courses and
hospital rotations at the University of California, Irvine School of
Medicine.
Google Glass offers the ease
and flexibility of accessing
course content in a hands-free
format, while also allowing
users to communicate with
devices via voice command.

Twelve years ago, Shantanu Sinha left his job to join his long-time
friend Sal Khan’s new venture. At the time, Sal was spending his
days making educational YouTube videos. It was an unusual
career choice for both of them.
But they saw what was possible
when students had more agency over
their learning and how technology
could play a role. Together they
started the online education
platform Khan Academy, and
Shantanu worked there for five years.

Today, Shantanu is the head of Google for Education. His team
works to improve teaching and learning with technology, and one
promising area is their work with adaptive learning technology.
This emerging, AI-driven
technology supports
tailored learning
experiences for students
and helps amplify
teacher instruction.

The concept of adaptive learning has been around for decades. It
refers to a type of learning where students are given customized
resources and activities to address their unique learning needs.
For example, if a
student struggles with
adding fractions, a
teacher might offer 1:1
tutoring or additional
practice problems.
What exactly is adaptive learning technology?

You can see the concept of adaptive learning play out in gaming.
When I was a kid I remember playing Carmen Sandiego and
noticing how the system was tailored to me and changed
whenever I got something wrong.
What’s new is applying recent
AI advances to this concept,
which opens up a whole new
set of possibilities to transform
the future of school into a
personal learning experience.

Can you share an example of what this might look like?
Imagine you’re a student stuck on a math problem. With 25 other
students in your class,
you can't always get
immediate help,
leaving you frustrated
and diminishing your
confidence to complete
future problems.

Example of how Adaptive Learning in a classroom benefits
You’re stuck on a problem, but instead of growing frustrated, you
receive a helpful hint or video that gives you exactly what you
need to unblock you.
You realize what you need
to do differently, complete
the math problem correctly
and feel more confident in
your ability to learn.

Early attempts at adaptive learning worked only for very specific
content and curricula. With recent AI advances in language models
and video understanding,
we can now apply adaptive
learning technology to almost any
type of class assignment or lesson
at an unprecedented scale. When
students receive individualized, in-
the-moment support, the results
can be magical.

Tell us about the magic.
We recently talked to an educator who is testing out a new
adaptive learning feature that we’re developing called practice sets
in Google Classroom.
The feature allows
teachers to create
interactive assignments
and provides students
with real-time feedback.

Tell us about the magic.
He said the instant feedback that kids received was like having a
teaching assistant in the classroom at all times. The technology
helped give students 1:1 attention and validation
— so they knew right away
whether they got a problem
correct or incorrect — and
drove students’ intrinsic
motivation and engagement
through the roof.

I saw a similar phenomenon back when I was part of Khan Academy.
Over time, students became more proficient with subject matter
content.
They are also more
proficient in their ability
to learn new material.
They learned how to
learn.

How does adaptive learning technology help teachers?
Adaptive learning technology saves teachers time and provides data
to help them understand students’ learning processes and patterns.
For example, with practice sets,
teachers can quickly see a student’s
attempts at a given problem, so they
know where a student got stuck and
can identify areas for improvement,
with more time to making sure that
each student gets the instruction and
practice they need to succeed.

So is the future of education more personal?
Learning is inherently personal. Education should feel personal
too, but there are time and resource constraints.
As we build toward a more
personal future for education,
adaptive learning technology can
help us get there faster. Our goal is
to power the pursuit of personal
potential — for both teachers and
students — in and out of the
classroom.

Over these past two years, technology has influenced where
people can learn, but has it changed the way people learn?
When we look back where the world is now, it’s clear that having
immediate access to information has fundamentally transformed
how, when and where we learn.
Today, learning is a muscle we flex
easily and often. 85% of U.S.
YouTube viewers surveyed say
they learn or improve their skills on
the platform and more than a
billion people turn to Search each
day to discover something new.

As we think about the evolution of learning, what role can
Google play?
Google aim to be a learning company — for school, for work and for
life. Learning is personal.
Google is excited to continue
working with partners to build
toward a more personal future of
education. When we apply the
right technology to the process of
teaching and learning, exciting
things start to happen.

Session 3
Education Technologies Based on Artificial Intelligence (AI)

Artificial Intelligence (AI) is a field of computer science that focuses
on the development of intelligent machines capable of performing
tasks that usually require human intelligence, such as:
visual perception, speech recognition,
decision-making, and natural language
processing. In recent years, AI has
gained significant momentum in various
industries, including education, where it
has the potential to transform the way
teachers teach and students learn.

With the increase in studies about artificial intelligence (AI) in the
educational field, many scholars believe that the role of teachers,
school and leaders in education will change.
In this regard, the purpose is to
examine what possible
scenarios are there with the
arrival of AI in education and
what kind of implications it can
reveal for future of schools.

While generally AI seem to have positive perceptions, there are
also certain drawbacks, especially highlighted by teachers and
academicians, regarding the future of teaching.
Lawyers and jurists tend to
focus more on legal grounds
for AI in education and future
problems, while engineers see
AI as a tool to bring quality and
benefit for all in the education
sector.

With the ability to analyze data on student performance and
preferences, AI can help educators to create;
- customized lesson plans and
- assessments that align with each
student's unique strengths and
weaknesses.
This can improve student
engagement and motivation, and
ultimately lead to better academic
outcomes.
Artificial Intelligence (AI) Impact and Examples in Education

This can help to keep
students engaged and
motivated and can lead
to improved academic
performance
AI algorithms can analyze student data and adapt to their learning
styles, providing feedback and recommendations that are tailored to
their individual needs and abilities.

Advantages of Artificial Intelligence in Education
•Organized Information. ...
•Personalized Education. ...
•Massive help for Students with Special Needs. ...
•Integrated Learning. ...
•Intelligent Tutoring System. ...
•Virtual Reality Learning. ...
•Software for Grading Essays. ...
•Raising Academic Standards and Educational Quality.

AI can track and identify students learning styles, and then optimize
the learning experience for the best results.
Personalized learning
makes way for greater
retention, higher recall,
and improved learning.
Advantages and disadvantages of using AI tools in the classroom

Examples of how artificial intelligence is currently being used in
higher education include:
•Plagiarism Detection.
•Exam Integrity.
•Chatbots for Enrollment and Retention.
•Learning Management Systems.
•Transcription of Faculty Lectures.
•Enhanced Online Discussion Boards.
•Analyzing Student Success Metrics.
•Academic Research.

AI tools like ChatGPT, which is a large language model trained by
OpenAI, can be used in the classroom to enhance the learning
experience for students and support teachers in their daily tasks.
Here are some of the ways
AI can be used in
education and the
advantages and
disadvantages of its
implementation:

1.Personalized Learning
AI tools can be used to create personalized learning experiences for
students. ChatGPT, for example, can analyse a student's learning
history and provide them with tailored learning materials based on
their interests and strengths.
This personalized
approach can help
students learn more
effectively and stay
engaged with the material.

Advantages:
Personalized learning can improve student motivation and
engagement, resulting in better academic performance.
Disadvantages:
There is a risk of students
becoming too reliant on AI
tools, which may limit their
ability to think critically and
independently.
1.Personalized Learning

2. Grading and Assessment
AI tools can be used to grade assignments and provide instant
feedback to students.
This can save teachers
time and effort, allowing
them to focus on other
aspects of teaching.

Advantages:
Automated grading can save time and reduce the workload for
teachers, allowing them to focus on more meaningful tasks.
2. Grading and Assessment
Disadvantages:
There is a risk of AI tools being
less accurate than human
graders, which can result in unfair
grading and inaccurate
assessment.

3. Personalized Feedback
AI tools can be used to provide students with personalized feedback
on their assignments.
ChatGPT, for example,
can analyse a student's
writing and provide
feedback on grammar,
syntax, and style.

3. Personalized Feedback
Advantages:
Personalized feedback can help students improve their writing
skills and enhance their overall learning experience.
Disadvantages:
becoming overly reliant on AI
feedback, which may limit their
ability to improve their writing
skills independently.

4. Intelligent Tutoring Systems
AI tools can be used to create intelligent tutoring systems that can
adapt to the learning needs of individual students.
These systems can provide
students with personalized
learning materials and feedback,
making the learning experience
more engaging and effective.

Advantages:
Intelligent tutoring systems can improve student engagement and
academic performance, providing students with a more personalized
learning experience.
4. Intelligent Tutoring Systems
Disadvantages:
becoming too reliant on AI
tutoring systems, which may
limit their ability to think
critically and independently.

Conclusion,
AI tools like ChatGPT have the potential to revolutionize the way
teachers teach and students learn. However, it is important to
recognize the advantages and disadvantages of their implementation
in the classroom
As AI technology continues to
evolve, it is crucial for educators to
evaluate its benefits and drawbacks
and use it in a way that enhances
the learning experience for students
while maintaining the integrity of
education.

Session 4
Usage of 5G Technologies in Education

What is 5G Technology?
5G, or fifth-generation wireless technology, is the fifth iteration of
cellular network operations. It differs from 4G, the most prevalent
wireless technology, due to latency — the delay between sending
and receiving information.
With its extremely low latency rate,
5G allows educational delivery to be
faster, more reliable, and smoother
as compared to a 4G cell tower, a
5G cell tower can hold and support
about 10 times as many devices.

5G is highly relevant in an educational scenario since lower latency
and greater available bandwidth will support superior levels of
communication over larger distances.
Take the university campus, for
instance. An expanded campus
reach can improve accessibility
to wireless networks, and many
universities have already begun
the integration.

The University of Miami first brought this technology to its campus,
making it easier for students to access classes and engage in
academic pursuits..
5G can also improve the quality of
video conferencing, add haptic
response capabilities, strengthen
immersive learning experiences
using virtual reality (VR) and
augmented reality (AR), and allow
for the personalization of education

How will 5G help education?
5G allows educators and students to use VR and AR in the
classrooms. Along with it, it would support a higher degree of
personalization.
The 5G ultra-fast speeds, lower
latency and the ability to connect a
massive number of mobile
devices, could increase equal
opportunity to education with
distance and remote learning,
across multiple sectors.

For example, the AR app Froggipedia allows students to study a
frog’s internal organs without harming any real frogs. It also enables
students to visualize the transformation of frogs from tadpoles into
their adult form.
Another example, in continuing
education, is VirtualSpeech, a
VR tool that helps individuals
work on their public speaking
skills in a more effective and
realistic manner.

Examples of the current uses of 5G technology today. With 5G
technology, you can access new and improved experiences
including;
.
 near-instant access to cloud
services,
 multiplayer cloud gaming,
 shopping with augmented reality,
 real-time video translation
 and collaboration, and more.

Increased access to education
5G can be used to live stream lessons in real-time with a UHD 8K resolution,
improving access to education in rural areas
Enhanced learning experience
5G will leverage the use of new learning platforms based on augmented
reality (AR) and virtual reality (VR) technologies, thereby contributing to a
better learning experience for students
Greater inclusivity in assistance
5G can potentiate the use of robots to make higher education more
inclusive by delivering the connectivity needed for these robots to respond
in realtime
How can 5G make a difference to education?

How can 5G transform the global classroom?
Let us now look at the five main benefits of 5G for learning:
1. Improved interaction between teachers and learners and
collaboration among peers
2. Accelerated quality and adoption of immersive learning
3. Personalized learning experiences
4. Boosted on-the-go learning
5. Leveled playing field

How can 5G transform the global classroom?
When you log into Zoom, there is a
high propensity toward lagging and
breaks in connectivity, which
negatively impacts educational
delivery. With 5G, video
conferencing platforms will improve
in quality and reliability around the
globe.

Therefore, instead of waiting for programs to load, time will be better
spent connecting teachers with learners, even in remote settings.
Teachers will save time by
not having to work around
delays in connectivity or
breaks in audio and video
connections and
instead focus on the learner.

Since 5G allows more data to be
transferred, communication among
peers for group projects will happen
faster and with less lag — as if
people across geographies are
sitting in the same room.
Students will be able to download videos and learning materials
faster and even have holograms of guest speakers in their
classroom without dips or delays.

Some skills, such as lab work and hands-on experiences, require
extra tactile stimulation to engender the same level of learning
online as in real life and real-time.
Those interested in learning
new skills and visualizing
abstract concepts in an
interactive way can benefit
from the integration of AR and
VR into immersive classrooms.

5G will provide a greater network capacity and seamless experience
that allows learners to explore complex concepts through zooming,
pinching, and even touching.
Further, haptic responses (that
reproduce the feeling, touch, or
motion of interacting directly with a
physical object) could introduce
tactile forms of learning to a
classroom through traditional video
conferencing platforms, making
interactions richer.

Education generally follows a one-size-fits-all approach that many
say could hinder growth.
5G has the capability to change
that! It will improve
personalization by creating
intelligent systems to understand
the unique needs of each
student and create targeted
learning journeys.

For example, virtual teaching assistants could allow cohorts to
access different sets of lessons and assessments depending upon
the profile and preferences of learners.
This has implications for
skilling and upskilling as
well as technical and
vocational education and
training (TVET).

4. Boosted on-the-go learning
As 5G expands to reach more aspects of daily life, it will make
learning on-the-go easier, providing greater responsiveness and
speed across all devices, especially mobile.
Imagine the increased
flexibility given to busy
students and professionals
who want to (and need to)
learn outside the classroom.

5. Leveled playing field
5G will accelerate the promise of democratizing access to quality
education in inclusive and affordable ways, thus leveling the playing
field, especially for under-resourced communities.
For example, the 5G-enabled
Verizon Innovative Learning
classroom brings learning to life
through immersive worlds. It has the
power to change the way all of us
learn. 5G clearly has a lot to offer in
education.

Automation can be defined as the process of removing the manual
involvement of humans in a particular process either with the help
of machines or by using software.
5. Automation
Ever since the Industrial
Revolution began,
automating every industrial
process became a
common characteristic of
modernization.

This carried on through the First and Second Industrial Revolutions
to what we call the Digital Revolution (or the Third Industrial
Revolution) today,
5. Automation
where all the technologies available
are combined in meticulous ways to
make the life of humankind much
more manageable and efficient. For
anyone living in the 21st century, the
advantages of automation in the
industrial process are almost
obvious.

This has reached the doorstep of
education as well. Automation helps
improve different aspects of different
sectors, and the same goes for
education as well. Here we will be
covering why automation is required in
the field of education and the
advantages of automation in education.
However, in the interconnected age of today, more and more
processes and technologies are being merged together to improve
efficiency.
5. Automation

The information technology (IT) revolution in the latter half of the
20th century has brought great changes to education and learning
The spread of the Internet has
made information ubiquitous,
changing the emphasis of
education from the transmission
and acquisition of knowledge to
knowledge creation, and shifting
the focus from group to individual
education.
Automation in Education

Automation in Education overall is referred to as instructional design.
It examines the history and present conditions of automation in;
education/learning systems,
centered on e-Learning,
from the perspectives of
information and communication
technologies and instructional
design.
Automation in Education

The Need for Automation in Education
Just like any other field, the education sector also has evolved over
the years. Along with its steady evolution, its dependence on
technology has also increased.
In the introductory paragraph, we
established what is automation in the
general sense. Automation in
the context of education refers to the
use of software technology to reduce
the need for manual human labor in
the education sector.

This can be achieved through various means, first and foremost by
shouldering the weight of organizing, conducting, and analyzing
classes with software.
There is an imminent need for
every sector to adopt and evolve
with the technology of the times
and that time is now for the
education sector. Let us see what
the advantages of automation are
with respect to education.
The Need for Automation in Education

6 Advantages of Automation in Education
Given below are six of the major advantages of automation in the
field of education:
1. Seamless Management
2. Management Automation in School Administration
3. Management Automation in the Classroom
4. Relieves Teachers of Managerial Duties
5. Improves Efficiency
6. Reduces the Amount of Workforce Required

1. Seamless Management
The biggest benefit of incorporating automation in schools, colleges,
and education is the ease of management that it provides.
However, there needs to be a
distinction drawn between the
management of the school and the
management of the classroom,
both of which are enabled by the
process of automation.

2. Management Automation in School Administration
When it comes to the administration of schools, the process of
automation can help out a lot by making the entire premise online
and digital. Let us take the example of fee management.
Traditionally, fee management of tracking
who has paid the fees, who hasn’t, how
much had been paid, and constantly
updating the same manually on a ledger.
The use of an automated fee
management system makes the majority
of the manual work, tracking and
grievance practically vanish.

The classroom is the most fundamental engine driving a school
forward intellectually, the students being the fuel and the teacher
igniting the spark.
This sacred connection
needs to be molded and
cultivated carefully,
making the students feel
comfortable and at home
with themselves..

This is made easier with classroom engagement tools such as the
Live Polls & Hand Raise feature,
or with classroom
management tools like an
attendance management
system to keep track of
each student’s attendance
pattern individually.

4. Relieves Teachers of Managerial Duties
In-class time management is one of the biggest problems teachers
faced mainly because of the managerial duties they to do in addition
teaching, mentoring students, and maintaining decorum in the class.
Maintaining attendance through roll
call takes up a significant portion of the
teacher’s time in the class. With the
help of an automated attendance
management system, this process
becomes automatic and seamless,
completely eliminating the need for roll
call at all.

5. Improves Efficiency
This is one of the advantages of automation that can be seen as
analogous to the industrial process in the sense that the efficiency
of the entire system becomes easier.
Here, let us consider library
management. New books come
in, old books are thrown out,
cataloging, assortment, tagging -
all of these processes are quite
labor-intensive and require a lot of
concentration.

Any errors made during the process would lead to unaccounted
books, which can be a loss for the library and other students in the
school. With a proper library management system in place, the
efficiency of all these processes can be greatly improved.
Organization is extremely important
in a library, and an automated
system following an algorithm
almost always outperforms human
management skills when it comes
to large amounts of data.

As the major amount of work had being done by automation, the
amount of manual labor is significantly reduced. Take the hectic and
complicated process of admission management as an example;
At the start of the school year, a
lot of students apply for
admission at the school, college,
or university of their choice. The
greater the popularity of the
institution, the more will be the
number of applications.

The process of cherry-picking the right students based on their
talents is a hectic task, especially when the strength is large, but
what is even more tiring is the paperwork that goes behind it.
Grievance redressal is another department
that can get overwhelmed in the process.
Automated admission management
system like Teachmint, makes all of the
operations above becomes streamlined
from the maintenance of records to the
follow-up process, hence reducing the
number of people required for each task
significantly.

Conclusion
The advantages of automation in the education sector are numerous
and its potential applications are being expanded upon with every
passing year.
Teachmint offers an integrated school
platform with the purpose of
incorporating automation into every
aspect of school management,
essentially streamlining the process with
a learning management system, school
ERP, digital content, and all the
necessary tools for teachers, students,
and administrators.

Session 6
Competency-Based Education

What is competence?
Competence is a person's ability to practice the knowledge
acquired over time.
Competency is measurable as you
can compare the skills and
knowledge of two or more individuals
based on their performance at a
specific job.
Being competent means you also
possess the skills to provide solutions
that matter to real-life problems.

Competency-based education is a method of academic instruction
and evaluation based upon students demonstrating their mastery
of a subject.
This method focuses on having
students “show what they know”
and applying the concepts
they've learned to evaluations
that show they've truly grasped
the subject.

The competency-based education (CBE) approach allows students
to advance based on their ability to master a skill or competency at
their own pace regardless of environment.
This method is tailored to
meet different learning
abilities and can lead to
more efficient student
outcomes.

Integrated Development
One of the benefits of competency-based learning is that it focuses
on the holistic development of learners.
With this learning approach,
learners can learn how to acquire
knowledge and skills and apply
them to real-life problems.
It also helps them to develop the
attitude of wanting to learn more
and build their skills.

Relevance To Real-World
Without a doubt, competency-based learning helps learners
become relevant in the real world. That's because it focuses more
on the practical application of acquired knowledge.
So, to enable your students to
become relevant with your
competency-based learning, ensure
you create effective instructional
modules and don't just state facts but
utilize case studies and scenarios
that trigger the practical application
of knowledge.

Focus On Mastery
Competency-based learning is a learning approach where learners
move from one learning level to a higher one based on their
demonstration of knowledge rather than based on time spent on a
specific course.
This learning approach
ensures that learners learn
at their own pace and
focus more on mastery of
knowledge and valuable
skills.

It's not about dumping and forcing knowledge onto learners. Rather,
it ensures that learners retain knowledge and attain a specific
degree of mastery of a particular subject before moving onto the
next level of learning.
For example, teachers may
ask students to submit a
video essay, or create a
digital portfolio that can be
shared online.

These types of assessments allow students to demonstrate their
understanding of the subject, which is the basis for competency
based learning.
The concept of competency-
based learning focuses on
3 key characteristics:
1. Learner-centric,
2. Differentiation, and
3. Learning outcomes.

Concepts Of Competency-Based Learning
1. Learner-Centric
Firstly, competency-based learning is centered on individual
learners. It offers each learner the opportunity to develop skills and
acquire knowledge at their pace.
Apart from that, it also
promotes collaborative
learning as learners can
work together to become
successful.

1. Learner-Centric
Competency-based learning empowers learners to progress through
learning processes without time restrictions.
Besides that, it also helps
them to explore diverse
opportunities in learning
and to reflect on their own
learning achievement.

2. Outcome-Based
Apart from being learner-centric, the concept of competency-based
learning always starts with clearly defining the learning outcomes.
By focusing on the learning outcomes,
top-notch sharable resources and
assessments to support the defined
learning outcomes are produced.
Also, instructors can identify risks in
learners' progress toward attaining
success and provide them with
preventive measures to mitigate it.

3. Differentiated
Differentiation in competency-based learning refers to learning
practices that identify and modify to meet the overall needs of
each learner
It's all-round and applies to
a lot of things, including
learners' communications,
interventions, and support.

How Is Competency-Based Learning Different From The Traditional Model?
To explain the difference between the two learning approaches, you
must look at the structure, focus, and content of the training.
In the case of traditional time-
based models, Instructional
Design is driven by textbooks and
standards.
However, in competency-based
learning, Instructional Design is
driven by learners.

How Is Competency-Based Learning Different From The Traditional Model?
In the traditional model, instructional planning is based on an
infrequent feedback loop, while in competency-based learning, it's
based on a continuous feedback loop.
Also, interventions and
personalization are generic and
sporadic in traditional time-based
models. However, they are timely,
differentiated, and based on
learners' needs in competency-
based learning.

•Interventions
Providing learners with quality feedback and guidance will help them progress
along their learning paths and become better in the skills acquired.
•Diagnostic
Offering learners assessments and different learning materials based on the skills
already mastered.
•Choice of learning
Learners can select learning resources based on their choices and preferences.
•Affiliation
Learners can receive different online training materials based on their relationship
with the programs in groups.
•Personalized message
Learners get relevant and timely communication that's tailored to their individual
needs.

Learning analytics is an area of research and practice that uses
computational analysis of learning process data to better
understand and improve learning.
Learning analytics uses data
to understand learners'
needs and improve
educational services
accordingly.

It can test the effectiveness of different learning techniques, track
students' progress and identify areas for improvement, and give
educators insight into the most successful tactics.
Learning analytics is the
measurement, collection, analysis
and reporting of data about learners
and their contexts, for purposes of
understanding and optimizing
learning and the environments in
which it occurs.

The 4 levels of learning analytics
The 4 Levels of Learning Analytics are;
1.Measurement,
2. Evaluation,
3. Advanced evaluation, and
4. Predictive and Prescriptive analytics.
Although each of these levels are correctly referred to as analytics,
they mean vastly different things in terms of complexity, difficulty,
and power.

1. Measurement
Analytics start with measurement, or the simple act of tracking
things and recording values to tell us what happened.
Measurement doesn’t require
complicated math or statistics,
but you must start by gathering
data. Otherwise, it’s impossible
to do any analytics.

2. Data Evaluation
Once the data has been captured, evaluation is done to assess
whether the data means something good or bad. At this level, high-
school level math, averages, means, modes, and basic statistics
are applied,
to aggregate the data and establish
benchmarks. In current practice,
most analytics fall into the basic
data evaluation category, and that’s
OK. There’s tremendous value
here, and opportunities for some
huge wins.

3. Advanced Evaluation
Exciting things happen as we get into advanced evaluation and
apply college-level math. Here, we’re looking at things such as
correlations and regression analysis.
Statistical techniques are applied to
understand, not just what happened,
but why it happened. Advanced
evaluation creates theories about
causation, allowing us to focus on
what works best to scrap ineffective
learning.

4. Predictive & Prescriptive Analytics
The most sophisticated levels of analytics are predictive and
prescriptive analytics, which require graduate-level math and often
rely on AI or machine learning powered by big data sets.
Predictive analytics say,
“based on what’s happened
in the past, here’s what is
most likely to happen next.”

4. Predictive & Prescriptive Analytics
Prescriptive analytics take that a step further and say, “based on
what’s most likely to happen next, here’s the action we should take
to optimize the outcome.”
Ultimately, when we get here, we
rely on highly intelligent
recommendation engines that
deliver just the right learning, at
just the right moment, in just the
right way to significantly improve
performance.

Learning analytics don’t have to be complicated. Start with the
basic categories and complexities that comprise these analytics
and work your way outward.
When these categories and
complexities are combined,
they form the matrix—or
pyramid—of learning
analytics

Many organizations master the lowest level of complexity within a
specific category and then work their ways outward.
And some organizations
may reach high levels in
one category, but reach
lower levels in other
categories.

As long as you identify where you fall within the analytics pyramid,
you’ll know where you’re going—which helps you set goals,
determine metrics, and evaluate the maturity of your program.
"Be relentless in your vision
and flexible with the details of
how you approach
understanding and improving
a culture of learning."
Gordon Trujillo, Visa

"Instead of building Excel reports on a full-time basis, our
analyst gets to probe the data to uncover stories and
experiment information."
Andy Webb, Applied Industrial Technologies
"You have to pick your battles and understand what is
critical to know and report and what isn't relevant to moving
the needles."
Monica Griggs, Bridgestone

Learning Analytics Examples
•Track your students' progress and give more, better and
targetted feedback.
•Monitor student activity in your course's online discussion
forums.
•Know your students before the first class.
•Visualize student enrollment pathways.
•Monitor student and class activity in the course site, in real
time.

Research Acknowledgment;
ChatGPT on 22/02/23 for UK teachers
Sheila Jagannathan
Head of the Open Learning Campus at the World Bank
Kazuyoshi Ishii
Educational Automation

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