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AN INTRODUCTION TO XAPI AND LEARNING ANALYTICS · learning analytics platform. all data. Learning...

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AN INTRODUCTION TO XAPI AND LEARNING ANALYTICS Tim Dickinson Director, Learning Analytics Strategy | Watershed @watershedLRS
Transcript

AN INTRODUCTION TO XAPI AND LEARNING ANALYTICS

Tim DickinsonDirector, Learning Analytics Strategy | Watershed @watershedLRS

@WatershedLRS

Today’s sessionagenda

02

Introducing Experience APIHistory, purpose and why organizations use it.

03

The LRS and Learning AnalyticsWhat does an LRS do and where does it sit in the Learning Analytics ecosystem?

Case StudiesWhat are some organizations already doing today?

01

What exactly is xAPI?

@WatershedLRS

xAPI is to learning technologieswhat USB is to electronic devices

USB

USB is a technical specification that makes it easier and cheaper to connect electronic devices.

With USB, you normally need a computer to connect devices to.

xAPI is a technical specification that makes it easier and cheaper to connect learning technologies.

With xAPI, you need a Learning Record Store (LRS).

xAPI

@WatershedLRS

Why connectwith USB?

To transfer dataFor example: when you get a new laptop

For devices with different functions to work togetherFor example: your laptop and a printer

To back up dataFor example: in case your laptop breaks down

@WatershedLRS

Why connectwith xAPI?

To transfer learning recordsFor example: when you get a new learning platform

For products with different functions to work togetherFor example: your LMS and a social learning platform

To back up learning recordsFor example: in case your LMS breaks down

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Components of anxAPI project

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Do all productsuse these specifications?

USB

Not all devices implement USB. For example: Apple use their own connections in many cases.

Some products implement USB badly.For example: Some uncertified USB-C cables have damaged phones and computers.

Not all learning technologies. implement xAPI. For example:many LMSs have been slow to adopt.

Some products implement xAPI badly. For example: 1. Data may be incomplete or difficult to interpret. 2. You may not be able to get data out.

xAPI

https://www.theguardian.com/technology/2016/mar/30/amazon-clamps-down-dangerous-usb-c-cables

@WatershedLRS

Can I leverage xAPI if my product doesn’t support it?Yes!

And once you have the connector, you can connect the product to other xAPI-enabled learning technologies in future as well!

You can use a connector

@WatershedLRS

Types ofconnector

Product-specificConnectors exist for some popular products or other learning tech specifications.

DIYYou can also implement xAPI on your own.

Multi-connectorFor example: Zapier connects hundreds of applications and has an xAPI output.

Universal connectorWatershed’s CSV import is effectively a universal connector for any data source.

!

@WatershedLRS

Why should learning professionals care about

a technical specification?

@WatershedLRS

Design learning programs and ecosystemsthat fit better and are more connected.

Best of breed learning ecosystem instead of one monolithic system

Example: an LMS for formal training, a social platform for informal learning and apps to support mentoring and track event attendance

A tightly blended learning experience across multiple platforms and providers

Example: promoting different e-learning courses based on job task observations or social learning activity

Centralized learning and performance reportingacross the complete ecosystem

Example: evaluating the impact of learning programs on job performance and business metrics in Watershed

@WatershedLRS

Utilize xAPI for robustlearning evaluation.

Align Define Discover Design

Monitor Analyze Explore

For more info: watershedlrs.com/blog

@WatershedLRS

“Without data you’re just another person with an opinion.”

W. Edwards DemingManagement Systems Legend

@WatershedLRS

@WatershedLRS

“L&D is responsible for improving our most important asset, our people. If we can improve L&D, we can improve the world.”

@WatershedLRS

Mike RusticiFounder & CEO of Watershed

@WatershedLRS

attitudestrategy

Think strategically and develop a culture of constant improvement. It’s learning’s turn

@WatershedLRS

Marketingevolution

Source: 5 Reasons Learning Needs to Think Like Marketing, Tribridge (2015)

@WatershedLRS

A brief history ofLearning Technologies Interoperability

SCORM 1.2

2001

Executive Order 13111

1999

SCORM 20044th Edition

2009

Project Tin Can

20102004 20062013

Experience API1.0.0

2012 2014 20172000

1.0 1.1 2004

20042nd ed.

20043rd

ed.

DoDI 1322.26 Enterprise-Scale

Deployments

1.0.1 1.0.2 1.0.30.9 0.95

2016

UpdatedDoDI 1322.26

@WatershedLRS

xAPI &learning analytics platform

all data

Learning is so much bigger than the LMS. Track informal and

experiential activities.

xAPI and the LRS present a transformative technology for learning analytics. Seamlessly bring all your data together in one platform and perform real-time analytics tailor made for L&D.

business impact

Include data about behaviors and performance in your learning analytics real time

Create, view and distribute reports seamlessly in real-time.

LAP

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Understanding learning analytics: Complexity

measurement

The simple act of tracking things and recording values. Can be passively or actively collected.

evaluation

The process of trying to make meaning from the data measured. Descriptive analytics. Does the data mean something “good” or “bad”?

advanced evaluationWhen data sets get large enough we can use advanced evaluation techniques to discover powerful insights. Data mining, AI, machine learning, etc.

predictive and prescriptiveMake predictions and decisions based on data and advanced algorithms. Recommendations engines are the best example in learning.

@WatershedLRS

Learning Experience Learner Learning

Program

Understanding learning analytics: Categories

Understand an overall learning program. Is this initiative helping to meet

business objectives.

Understand a learner or group of learners. Ensure organizational readiness

and compliance.

Understand more about a specific learning activity. Maximize

effectiveness and spot problems.

The future in practice.

@WatershedLRS

next generationlearning ecosystem

03connected to outcomesLearning outcomes on their own are only marginally interesting. Incorporate learning into larger business objectives and bring the data together to show their effectiveness.

02mobile, social, informal

Learning happens everywhere and now we can track it. The constraints of old are gone. Embrace the types of learning that your learners want to use. Provide resources in the moment of need where the learners live.01

away from the LMS

How much of what you’ve learning in your lifetime has come from an e-learning course in an LMS? LMSs aren’t going away, but it’s time for us to recognize that learning happens everywhere.

Visa University:A new

ecosystem

A next generation learning ecosystem brings this all together.

This example from Visa shows that the LMS is just one small part of a modern learning ecosystem.

@WatershedLRS

Source: Getting Buy-In From the Boss. Andy Webb, Applied

Comprehension vs. Application

Source: Getting Buy-In From the Boss. Andy Webb, Applied

@WatershedLRS

Source: Getting Buy-In From the Boss. Andy Webb, Applied

@WatershedLRS

Source: Getting Buy-In From the Boss. Andy Webb, Applied

@WatershedLRS

Source: Getting Buy-In From the Boss. Andy Webb, Applied

Code Blue

When a patient's heart stops and needs to be resuscitated.

Key Metrics

Time to first drug

Time todefibrillation

Time to chest

@WatershedLRS

Learning Ecosystem

LMS

Mobile app Mock code blue

Learning Analytics Platform

@WatershedLRS

Mock Code Blue/ In person Observation

Mobile Simulation/ Defibrillator App

LMS Training Lab

Learning Analytics Platform (Watershed)

Learning Ecosystem

@WatershedLRS

Getting Startedyes you can!

01 Gather your dataJust start collecting data in a common format in a central location. Make it low friction and ensure you have access.

04 Explore your dataStarting to understand not just “what” is happening but “why.” Form questions and see if your data can answer them. Often, the best answer another question. Can you see impacts on the larger business?

02 Get to know your dataUnderstand what you have. What is out there, what is reliable, and what is missing? Do some simple evaluations and create baselines.

05 Experiment with your dataStart a new learning program with analytics in mind. Set up well controlled experiments and A/B tests to validate a hypothesis. Create a culture of continuous improvement.

03 Operationalize your dataAutomate your way out of “Excel hell.” Define some interesting metrics and KPIs, start monitoring them routinely. What trends do you notice?

06 Show off your dataWe’ve long known that learning is vital, not we can probe it. Go forth and show the world!

@WatershedLRS

ourcontacts

watershed

210 Gothic Ct

Franklin, TN 37067

+1-844-220-0822

http://watershedlrs.com

@watershedlrs

me

Tim Dickinson

Director, Learning Analytics Strategy

[email protected]


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