7th conference of e-learning in medical education . dr

TUMS’ OPATEL Training Workshop, 2-4 Dec 2018, Dr. Mitra Zolfaghari

7th Conference of E-Learning in Medical Education . Dr.Mitar

Zolfaghari

New Trend of

e-Learning in

Medical Education

Associated professor of

Tehran University of Medical Sciences

Virtual school

Department of e-Learning in Medical Education

[email protected]

Dr. Mitra Zolfaghari


• Speed (a shift from dial-up to broad band),

Changing Technology:

• Size (from huge computers to small handheld devices),

• Connectivity (through always-on apps and social media).


In 2020

technology has become not just a tool,

but a standard and matter of credibility


ML Micro-Learning

What is Micro-learning And why

care about it?


• Bite-sized learning (3-5 min in length or shorter)

• ML is ideal for just in time training

• Accessible on many devices (BYOD Strategies)

• Devices like tablets and smart-phones are

allowing for learning to be on-the-move.

ML Micro-Learning


Micro-Learning

�Not just compact, also focused.

�Provide enough necessary

information to help learner obtain a

specific gap

�personalized learning environment.

�Supporting learning analytics.

ML


Productivity / managing apps enable

learner to organize their academic activities:

•Take and share notes

•Create to-do list

•Store all files

•Organize academic schedules

Universities provide their own branded app

•Campus maps

•Access to grades

•University news

ML Micro-Learning


Specific benefits include:

� Quick deployment

� Increase productivity

� Easy tracking

� Shorter learning gap

Some examples:

� Short video & Clips

� Learning nugget

� Interactive video

� Short game

� Quiz

� Interactive infographic

ML Micro-Learning


• An evolution on the idea of MOOCs

• Adaptive or personalized learning

• a MOOC with an entrance requirement designed

to reduce the “unwanted diversity”:

�pass an entrance quiz

�a credential (e.g., have a degree)

� membership (e.g., be in the university’s alumni

network).

The theory is that a more uniform student body will

lead to improved peer-to-peer collaboration and higher

learner outcomes.

ML

SOOCS

Selectively Open Online Course


• From MOOCs to SOOCs

• Big Focus on User Engagement

• Smarter MOOCs slowly correct the crude

whenever, wherever models of the past,

beginning to improve the credibility of

eLearning.

ML

SOOCS



• The biggest benefit for organization:

• Don’t provide all modules for all learner

• Provide focused training

• Re-looking at the customs space

• Better competition rate

ML

SOOCS



• API (application programming interface)

• Advanced distributed learning (ADL)

• Experience API (xAPI)

• The Tin Can API

• Next Generation SCORM

ML

xAPI

Experience API (xAPI)

SOOCS


ML

xAPI

SCORM vs. xAPI

SOOCS •As the world shifts from SCORM to xAPI

•SCORM•Sharable Content Object Reference Model

•SCORM is over ten years old

•First published in 2000

•Many eLearning authoring tools and LMS

products support the SCORM standard.


ML

xAPI

SCORM vs. xAPI

SOOCS •Must be SCORM conformant LMS


• Until recently e-learning modules & LMS were connected

with SCORM

� Now, SCORM is replaced by a newer standard called

xAPI

� That makes it possible to collect data from the wide

range.

ML

xAPI

SCORM vs. xAPI

SOOCS


ML

xAPI

xAPI Capabilities:

SOOCS•Taking e-learning outside of the web browser

•E-learning in native mobile applications

•More control over learning content

•Solid security

•Platform transition

•The ability to track games and simulations

•The ability to track real-world performance

•Team-based e-learning

•Tracking learning plans and goals.


ML Learning Record Store (LRS)

SOOCS By shifting from formal to experiential

education modern technology has done for

learning practice in digital age.

� Learning experience are recorded in LRS


ML

LRS

Learning Record Store (LRS)

SOOCS

xAPI�The LRS is simply a repository for learning

records that can be accessed by an LMS or

a reporting tool.

�An LRS can live inside an LMS, or it can

stand on its own.


ML

LRS


SOOCS

xAPI

�.


ML

LRS


SOOCS

xAPI�LRS collect learning records from various

sources

�LRS creates detailed analytics

�LRS is applicable to any environment

�Highly flexible & convenient

�LRS enriches the learning environment.


ML

Gamific.

Gamification

SOOCS

xAPI

LRS

What is Gamification and

Why Use It in Teaching?


ML

Gamific.

Gamification

SOOCS

xAPI

LRS

Gamification doesn't equal the games.

Is the use of game design and game elements in non-game

contexts. In order to:

Improve students attendance

Encourage engagement

Increase motivation

Improve self-confidence

Improve self-regulation

Improve self-assessment

Improve self-evaluation

Improve self-learning

Expanding collaboration

Expanding cooperation

Expanding socialization


ML

Gamific.

Gamification

SOOCS

xAPI

LRS

What is game elements?


ML

Gamific.

Ten ingredients of great games

SOOCS

xAPI

LRS

1. Self-representation with Avatars

2. 3D environments

3. Narrative context

4. Reputation, ranks, level

5. Marketplaces & economies

6. Competition under rules

7. Teams

8. Feedback

9. Parallel communication

10. Time pressure


ML

Gamific.

Gamification in e-L:

SOOCS

xAPI

LRS

1. Mimic real life challenges with increasing level of

task difficulty

2. Take a way badges or rewards if learner can

overcome challenges

3. Publicly rank learners according to their grade

Gamification has a greater impact in critical role-

based information


ML

AR&VR

AR & VR & MR

SOOCS

xAPI

LRS

Gamific.

Virtual Reality will continue to be used for teaching

skills for

• handling high-risk tasks and performing complex

procedures.

• Regarding VR learner can directly interact with

learning materials

• VR use for teaching skills


ML

AR&VR

AR & VR & MR

SOOCS

xAPI

LRS

Gamific.

Augmented Reality (AR) will be used to

• trigger just in time learning

• To learn more about devices or tools & technology or

even places by using QR Code

• it gives learners a simulated learning environment

which the real and digital worlds come together.


ML

AR&VR

AR & VR & MR

SOOCS

xAPI

LRS

Gamific.

• With AR :

• learners can follow on-screen instructions,

• see what others are doing,

• and interact with them.

• Therefore, learning experience becomes more

realistic.


ML

AR&VR

AR & VR & MR

SOOCS

xAPI

LRS

Gamific.

With prices of wearable glasses and headsets reducing,

VR and AR will become more affordable for

organizations willing to experiment with them.

AR and VR are predicted to be prevalent in upcoming

year.


BYOD

Virtual p

Virtual patients (VPs)

SOOCS

xAPI

LRS

Gamific.

AR&VR

�web-based representations of

realistic clinical cases.

�an optimal method for

teaching clinical reasoning skills


BYOD

Virtual p

Key educational of Virtual patients

SOOCS

xAPI

LRS

Gamific.

AR&VR

Design & development:

Select a pedagogical model

Tell a good story

Set the rules & expectation

Define the critical path

Add branches at clinical decision point

Complete the narrative and clinical data

Add feedback

Add multimedia

Test with students

Validate the case


BYOD Conclusion

In the near future we need new methodologies

capable to get benefits of available technologies.

SOOCS

xAPI

LRS

Gamific.

AR&VR

Virtual p


BYOD

MOOCS

SOOCS

xAPI

LRS

Cloud C.

Gamific.

3D Print

wearable

Virtual p


ML

ANY QUESTION

SOOCS

xAPI

LRS

Gamific.

Virtual p


BYOD

MOOCS

SOOCS

Gamific.

SOOCS

SOOCS

SOOCS

SOOCS

SOOCS

SOOCS

7th conference of e-learning in medical education . dr

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