Powering Personalized Learning and Adaptive Teachingteach.ufl.edu/wp-content/uploads/2017/04/UF_RealizeIT_Part1.pdf · Mod 14 Summary Mod 14 Introduction and Video Lecture Random

Post on 13-Oct-2020

1 Views

Category:

Documents

0 Downloads

Preview:

Click to see full reader

Transcript

Powering Personalized Learningand Adaptive Teaching

Matthew Kaylie

Sr. Director, Strategy and Business Development

matthew.kaylie@realizeitlearning.com

646.942.0212

Check All The Boxes

2

• Learning science

• Learning drives the bus

-Dr. Andrew McCollough

3

Student Experience

Student Engagement & Agency

Faculty Line of Sight

5

Faculty Real-time & Actionable Insights

For Illustration Purposes

Target Knowledge

Finance 201

College Algebra

Finance 101

Here’s What Sets Realizeit Apart

FACULTY TESTED; STUDENT APPROVED

MASTERY

VERSATILITY

SCALE

COMMUNITY OF PRACTICE

8

If this is important to you….

CONTROL – CONTENT, DATA

(REALLY) MEASURE LEARNING

IMPLEMENTATION SUPPORT & COLLABORATION

IMPACT STUDENT OUTCOMES AT ALL LEVELS

9

Let’s talk….

Thanks to UCF

10

http://realizeitlearning.com/customers/

80.00%

85.00%

90.00%

95.00%

100.00%

105.00%

Knowledge state Knowledge covered

0

1

2

3

4

5

6

7

8

9

Mo

d 1

4 S

um

ma

ry

Mo

d 1

4 In

tro

du

cti

on

an

d V

ide

o L

ectu

re

Ra

nd

om

Ea

rly

De

tecti

on

an

d T

raff

ic S

ha

pin

g,

etc

.

Mo

d 1

2 S

um

ma

ry

Mo

d 1

0 S

um

ma

ry

Re

du

cin

g S

eri

aliza

tio

n D

ela

y a

nd

Qo

S

Mo

d 1

1 S

um

ma

ry

Mo

d 9

Su

mm

ary

To

ols

fo

r Te

sti

ng a

Ne

two

rk D

esig

n

Mo

d 3

In

tro

du

cti

on

an

d V

ide

o L

ectu

re

Mo

d 1

Su

mm

ary

Gu

ide

lin

es f

or

Assig

nin

g N

am

es

Pa

cke

t S

ize

s

Re

qu

ire

me

nts

an

d T

rad

eo

ffs

Ne

two

rk S

ecu

rity

De

sig

n

Qo

S R

eq

uir

em

en

ts

Mo

d 2

In

tro

du

cti

on

an

d V

ide

o L

ectu

re

Ca

mp

us T

op

olo

gy

De

sig

n

Te

ch

nic

al G

oa

ls

Ne

two

rk T

op

olo

gy

De

sig

n T

he

me

s

WLA

Ns a

nd

VLA

Ns

Se

lecti

ng E

nte

rpri

se

Te

ch

no

logie

s

Bri

dge

s (

Sw

itch

es)

Ru

nn

ing S

TP

De

lay

Re

mo

te A

cce

ss T

ech

no

logie

s

Se

cu

rin

g t

he

Ne

two

rk

Imp

lem

en

tati

on

Pla

n a

nd

Ap

pe

nd

ice

s

WA

N T

ech

no

logie

s

Ne

two

rk P

erf

orm

an

ce

To

po

logy

De

fin

ed

En

d o

f M

od

ule

Qu

iz

IPv6

Ad

dre

sse

s

Mo

d 4

In

tro

du

cti

on

an

d V

ide

o L

ectu

re

Co

mp

on

en

ts o

f a

Te

st

Pla

n

Wir

ing a

nd

Me

dia

Tra

ffic

Flo

w

Ma

na

ge

ab

ilit

y, U

sa

bilit

y, a

nd

Ad

ap

tab

ilit

y

Mo

d 1

3 In

tro

du

cti

on

an

d V

ide

o L

ectu

re

Mo

d 1

In

tro

du

cti

on

an

d V

ide

o L

ectu

re

Su

bn

ets

Ro

uti

ng P

roto

co

ls

Are

as o

f S

ecu

rity

Mo

d 1

1 In

tro

du

cti

on

an

d V

ide

o L

ectu

re

IP A

dd

resse

s

Mo

d 7

In

tro

du

cti

on

an

d V

ide

o L

ectu

re

Mo

d 4

Su

mm

ary

Mo

d 1

2 In

tro

du

cti

on

an

d V

ide

o L

ectu

re

Average time (mins)

0.00%

20.00%

40.00%

60.00%

80.00%

100.00%

120.00%

En

d o

f M

od

ule

Qu

iz

Ava

ila

bilit

y

IP A

dd

resse

s

Ava

ila

bilit

y

Ma

kin

g R

ou

tin

g D

ecis

ion

s

WA

N T

ech

no

logie

s

Re

mo

te A

cce

ss T

ech

no

logie

s

Ne

two

rk P

erf

orm

an

ce

Tra

ffic

Ch

ara

cte

risti

cs

Wir

ele

ss N

etw

ork

Se

cu

rity

Do

ma

in N

am

e S

yste

m (

DN

S)

Ro

uti

ng P

roto

co

ls

Bu

sin

ess C

on

str

ain

ts

Wir

ing a

nd

Me

dia

IPv6

Ad

dre

sse

s

Ne

two

rk M

an

age

me

nt

Co

mp

on

en

ts

Ca

mp

us T

op

olo

gy

De

sig

n

LA

N T

ech

no

logie

s

WLA

Ns a

nd

VLA

Ns

Ne

two

rk D

esig

n

IP T

ype

of

Se

rvic

e F

ield

an

d L

AN

Tra

ffic

Ad

dre

ssin

g a

nd

Na

min

g

Co

mp

on

en

ts o

f a

Te

st

Pla

n

Are

as o

f S

ecu

rity

Bri

dge

s (

Sw

itch

es)

Ru

nn

ing S

TP

Ne

two

rk T

op

olo

gy

De

sig

n T

he

me

s

Str

uctu

red

De

sig

n

Bu

sin

ess G

oa

ls

Su

bn

ets

Ca

mp

us N

etw

ork

Me

dia

Tra

ffic

Flo

w

Ca

mp

us N

etw

ork

De

sig

n

Gu

ide

lin

es f

or

Ad

dre

ssin

g a

nd

Na

min

g

To

po

logy

De

fin

ed

Re

aso

ns t

o T

est

Ma

na

ge

ab

ilit

y, U

sa

bilit

y, a

nd

Ad

ap

tab

ilit

y

Imp

lem

en

tati

on

Pla

n a

nd

Ap

pe

nd

ice

s

Cis

co

Sw

itch

ing T

ech

niq

ue

s a

nd

Qu

eu

ing S

erv

ice

s

Re

aso

ns t

o O

pti

miz

e a

nd

IG

MP

Se

lecti

ng E

nte

rpri

se

Te

ch

no

logie

s

Te

ch

nic

al G

oa

ls

Sw

itch

ing a

nd

Ro

uti

ng C

ho

ice

s

Use

r C

om

mu

nit

ies a

nd

Da

ta S

tore

s

Ne

two

rk M

an

age

me

nt

Se

cu

rin

g t

he

Ne

two

rk

De

lay

Co

nte

nts

of

a N

etw

ork

De

sig

n D

ocu

me

nt

Average score

Wrap-Up

14

Questions

FEEDBACK – NEXT STEPS

Starts with the Student Engagement

15

• Provide a personalized learning experience• Deliver learning at an appropriate time

• Deliver appropriate learning material

• Learn about the learner

• Manage and adapt to change: abilities, metrics, behavior etc.

• Identify weaknesses and try to remedy

• Help a learner to realize their potential

• Remain subject and content independent

Personalized Learning – Empowered Students

• Continually Informed – Strength, Weakness, Progress and Mastery

• Individualized pathways and pace – Chart and follow personal journey to completion and achievement

• Confidence building – Experience incremental success, improve engagement

• Engaged collaborators – Learner agency

16

What students are saying…

17

The platform is very engaging, it keeps your attention span because the sections within each week are only 20 min long and the follow up questions are excellent!!!! I usually get B's and C's in my classes because it is very hard to learn and with Realizeit I can finally get an A in my class!!! Realizeit is very important in keeping you on track and keeping you motivated when you take online classes!

- UMUC Student

I loved how it took the time to figure out what I knew before it gave me a bunch of work to do. It made me feel like my time was valuable. It taught the material really well and helped reinforce things I wasn’t so great at.

- UCF Student

Student View Screenshot

Real-time and Actionable Data

19

Can’t Happen Without You- Empowered Teachers

• Faculty focused practice – Technology and data enabled

• Real-time view into every student’s strengths, weaknesses, progress and mastery

• Informed guide – Data driven interactions and interventions

• Efficiency and Value – Less time grading, more time connecting with students, more time for practice through applied learning

20

What faculty are saying…

21

I have been very impressed with both the potential for Realizeit to drastically change how I can deliver my course to my students and with the professionalism of the Realizeit team members… This is the first time I have felt that I now have the tools to deliver a truly adaptive learning and testing experience…

- Dr. Julie F. Hinkle RN, PhDFaculty and Coordinator, College of Nursing

University of Central Florida

The faculty are now more engaged and actually teaching and managing, monitoring, and mentoring the student’s educational path through their learning. students are performing at a much higher level on their assessments. The very first year we ran it, we saw a 10 to 12% increase across the board in test scores, which is very significant the faculty that are in charge of these programs or that are delivering these programs are also starting to really enjoy the teaching process. They’re becoming more engaged with the students and having fun, and learning more ideas about how to work with them.

Faculty View Screenshot

What partners are saying…

24

Realize It has been a good partner for myself and for Western University from the standpoint that we wanted to make this available for the world. You take anatomy for instance. It’s very limited resources for people. Usually they’re limited to just local two-dimensional diagrams of human anatomy. With the Realize It platform we’re able to integrate all of this high resolution, 3D anatomy, and human anatomy models that we have, along with a platform, and synthesize it together and make it distributable.

- Western University of Health Sciences

Secret Sauce- Artist image – pacaso image

• (stress that the “secret sauce” is first in the DESIGN because designing a course to be personalized and adaptable is NOT the same as designing an online course. Secondly, the next key ingredient is in Realizeit’s powerful engine which adapts every element of experience to the student. Thirdly, the realtime learning analytics help the instructor to plan their time each week to be more effective. Remember it is NEVER right the first time out of the box – continuous calibrations and refinements are always required to achieve the very best results and course quality. Others “talk the talk”, we “walk the walk”

26

Machine Learning Adaptive

Rules Based

Adaptive

Decision Tree

Based Adaptive

• Basis of core IP - Adaptive Engine

• Content and Assessment selection

• Mastery/Prior knowledge determination

• Continuous calibration and prediction of

knowledge pathways

• Content profiles

• Curriculum hierarchy/maps

• Diagnostic Assessments

• Competency progression rules

• Competency progression

hierarchies for program level

personalization

• Multiple models working cohesively to provide a holistic solution for personalization of learning.

• Rules and Decision tree based adaptive approaches layered on machine learning adaptive

Reference:

Adaptive Learning Systems; Surviving the Storm by Lou Pugliese

Educause Review, October 2016

So what model of adaptive is ?

For Illustration Purposes

Calculus III

Calculus I

Calculus II

Target Knowledge Map

Support Every Step of the Way

… TRUE PARTNERSHIP MINDSET

• The diverse Realizeit expertise

• The unlimited support

• Community of practice

• Faculty centered incentives

• Commitment to Florida (I am based in FL. FL partners, etc)

• Annual Sumitt

• Conference Presence (in the know)

Client Success Management

Learning Design

Services

Course Authoring

Training Services

Technical Solutions

Incident Management

Content Solutions

Realizeit Professional ServicesCentered on Client Success

Engagement Management

Customer Advocacy

Partnership

Ingestion ~ Learning Maps

Lessons ~ Assessments

Change Management

Faculty Orientation

Course Authoring

ID Training

Integrations ~ Extensions

Architecture ~ Design

Support ~ Resolution

Software Patches

Content Edits

Instructional Design

Learning Experience

Access to SME Network

Sourcing ~ Curation

Starter Content

Community of Practice

Institutions Seek Solutions In Service To …

32

STUDENT SUCCESS

Engagement, Retention, Persistence, Completion

STUDENT ACHIEVEMENT

Mastery, Progression, Exam Scores, Grades

TEACHING & LEARNING EFFECTIVENESS

Flipped Classroom Model

LEARNING ANALYTICS & REPORTING

Institutional Research/Effectiveness

PROGRAM QUALITY

Curriculum, Content and Assessment Performance

Institutional Partners are Highly Diverse- Versatile Platform, Products & Services -

…1 million COURSE-TAKERS; 300+ COURSES…WHETHER SEAT-TIME OR COMPENTENCY-BASED MODEL

Growing set of Partner Institutions

….a few KEY WORDS to help simplify and crystalize each of the THREE FOCAL POINTS

• Re: Students … in a word … CONFIDENCE … another is ENGAGEMENT

(students report that this approach to learning really helps them build up their confidence)

• Other….

• Not keen on the title tag “The adaptive learning ecosystem” … obviously we have not landed on our new tag but prefer something else … here are some ideas we’re kicking around but not yet sanctioned …. “Going Beyond Adaptive” … “Powering Educational Transformation” … “More Than Adaptive” … “The Ultimate Learning Platform” … “Adaptive Learning – The Real Thing” … “Powering Personalized Learning and Adaptive Teaching” … “Adaptive: Student Tested, Faculty Approved” … “Powering Personalized Learning and Adaptive Teaching”

• Logos … need to drop UTX, IvyTech, Indiana, Significant Technology … need to be careful because at Ole Miss we’re currently working with a faculty member and not the “institution”

• Rather than “Centered on Client Success” you can say “Centered on YOUR Success”

• Re: Instructors … it is about … TRANSPARENCY … DIRECT LINE-OF-SIGHT … PIERCING INSIGHTS … INSTANT & ACTIONABLE INTEL … OPTIMIZING THEIR TIME to spend more time on high-value teaching activities and less time on rote administrative tasks like grading. I always like to say that Realizeit makes the instructor “The Hero” because whenever they engage a student they are instantly able to provide the exact right help because they are armed with data/intel about that students exact strengths and weakenesses at that moment and exactly where they are struggling (or excelling).

• (did you get any good quotes from Tamara?)

• Re: Support and Collaboration … TRUE PARTNERSHIP MINDSET … UNIQUE EXPERTISE (SHERPA’s) … FORMER OPERATORS experienced with implementation … EASY TO WORK WITH … PROBLEM SOLVERS … HIGHLY EXPERIENCED designing and redesigning adaptive learning experiences in a wide variety of circumstances making our team highly effective

• (stress that the “secret sauce” is first in the DESIGN because designing a course to be personalized and adaptable is NOT the same as designing an online course. Secondly, the next key ingredient is in Realizeit’s powerful engine which adapts every element of experience to the student. Thirdly, the realtime learning analytics help the instructor to plan their time each week to be more effective. Remember it is NEVER right the first time out of the box – continuous calibrations and refinements are always required to achieve the very best results and course quality. Others “talk the talk”, we “walk the walk”

Wrap-Up

37

Questions

FEEDBACK – NEXT STEPS

Goals

38

• Provide a personalized learning experience• Deliver learning at an appropriate time

• Deliver appropriate learning material

• Learn about the learner

• Manage and adapt to change: abilities, metrics, behavior etc.

• Identify weaknesses and try to remedy

• Help a learner to realize their potential

• Simulate or emulate a good teacher

• Remain subject and content independent

Realizeit Adaptive Engine Architecture

Underpinning Principles and Models

Adaptive Engine

Profiling

Content

Target

Knowledge

(Curriculum)

Determine

Knowledge

Ability

Values

Work where you are most ready

Your current mastery

Learning

Paths

How you learn most effectively

Find out what you already know

top related