Training Industry Magazine - July/August 2019 - 55

WHAT'S NEXT IN TECH
STELLA LEE, PH.D.

LEARNING ANALYTICS IS MORE
THAN DATA COLLECTION

The benefits of learning analytics are
manifold. Learners can get real-time
information on their progress and learning
gaps; instructional designers and facilitators
can be better informed regarding how
learning activities are received by individuals
and groups of learners in order to adjust
learning programs accordingly. Additionally,
managers are able to glean insights on how
learning potentially supports and translates
to on-the-job performance.
The underlying assumption of learning
analytics is that we will use the data
collected to gain insights on the learning
activities and learner behaviors, interpret
the data, and provide interventions and
predictions. Typically, much of the data
comes from the learning management
system (LMS), but also through informal
learning channels, face-to-face session
attendance records and evaluations,
access to other content repositories, and
even mobile phone usage.

LEARNING
PROFESSIONALS
NEED TO START WITH
THE END IN MIND.
However, when it comes to implementing
learning analytics, we are faced with many
data problems. The following factors
outline a few of the problems surrounding
learning analytics and potential solutions:
POOR DATA
The main problem with the use of data
in learning: We need to have them.

Many learning and development (L&D)
departments still rely on paper-based
records, some don't get past the collection
of smile sheets for training evaluations
and some are not in the habit of collecting
any learning data. Often, data are out of
date, stored across different databases and
formats, and are in general quite messy. It
is hard enough just getting the data; we
need to take the first step in collecting
data in a format that is structured, cohesive
and standardized. There are tools and data
science professionals to help you with
data cleansing using statistical software.
DIFFERENT TYPES OF DATA
We need to get past the Shareable Content
Object Reference Model (SCORM) in
terms of the types of data to collect. SCORM
measures learning activity completion, but
completion doesn't prove that learning has
taken place. To identify if the desired learning
outcomes are being achieved, learning
professionals need to start with the end
in mind when designing learning activities
and programs. One solution is to design
formative self-knowledge checks throughout
an online course to spot whether learners
have grasped the concepts or if additional
supports are needed in real time.
I HAVE DATA AND I NEED INSIGHTS
There is a fundamental flaw in approaching
learning analytics this way. We should
be asking: What learning problem and,
ultimately, performance problem am I
trying to solve that data can help provide
insights to? For example, you are trying to
solve the problem of customers' complaints

about the poor service provided by your
call center staff. You might hypothesize
that, by providing a customer service
training simulation experience for the staff,
the number of complaints from customers
will go down by a certain percent. Does the
data reflect that? If not, you must figure out
the root cause of what is not working.
DATA IS NOT KNOWLEDGE
Knowledge involves a practical understanding
of subjects, an acquisition of skills, and
a demonstration of competencies. Data
collected from various learning sources that
haven't undergone thorough processing
are meaningless. While it is important to
collect diverse sets of data, it is from the
analysis of the data that we can infer how
learners learn and the conditions needed
for successful learning. Once you've gained
these insights, the question becomes:
How do you convert insights into actions?
All in all, learning analytics represent a
real opportunity for learning professionals
to provide evidence-based learning
interventions, enhance learning experiences
and foster better performance support.
Understanding and applying data
strategically will go a long way in the
successful implementation of learning
analytics at your workplace.
Dr. Stella Lee has over 20 years of experience in
consulting, planning, designing, implementing,
and measuring learning initiatives. Today,
her focus is on large-scale learning projects
including LMS evaluation and implementation,
learning analytics, and artificial intelligent
applications in learning. Email Stella.

T R A I N I N G I N DUSTR Y MAGAZ INE -LEARNING ANALYTICS 20 19 I WWW. T RAININGINDU S T RY . C OM/ MAGAZ I NE

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https://library.educause.edu/topics/teaching-and-learning/learning-analytics https://www.kirkpatrickpartners.com/Portals/0/Storage/The%20new%20world%20level%201%20reaction%20sheets.pdf https://www.trainingindustry.com/glossary/scorm/ https://www.trainingindustry.com/glossary/learning-management-system-lms/ https://www.trainingindustry.com/glossary/scorm/ https://www.trainingindustry.com/glossary/learning-management-system-lms/ https://www.trainingindustry.com/magazine

Training Industry Magazine - July/August 2019

Table of Contents for the Digital Edition of Training Industry Magazine - July/August 2019

Learning Analytics: Table Stakes for Business Success
Table of Contents
Let's Build a Measurement Practice for L&D
Brain-Based Learning Analytics and Evaluation Practices
Who [Else] Cares About Learning Impact Data
Justifying the Investment in Leadership Training
Is Training Analytics Smoke and Mirrors?
Leveraging Analytical Tools to Transform L&D
Levearging Learning Analytics to Improve Business Outcomes: Where to Start
Was It Worth It? Measuring the Impact and ROI of Leadership Training
How to Make the Transition to a Data-Driven Learning Culture
How Personal Skills AI Assistants Might Disrupt Corporate Training
Machines Are the Future of Training: How Data-Driven Feedback Is Fostering Improvement and Enhancing Human Relationships
Improving Instructor Impact on Learning with Analytics
A Year in the Life: Evolving L&D Metrics From a Reporting Managed Service to Business Insight Partner
Localizing E-Learning Programs for an International Audience
Learning Analytics Is More Than Data Collection
Using Business Data to Drive Training Objectives
Quality versus Quantity: How Analytics Can Improve Training Effectiveness
Coursera Reaches Unicorn Status and Accelerates Enterprise Product Innovation
Company News
Training Industry Magazine - July/August 2019 - Cover1
Training Industry Magazine - July/August 2019 - 2
Training Industry Magazine - July/August 2019 - 3
Training Industry Magazine - July/August 2019 - 4
Training Industry Magazine - July/August 2019 - Learning Analytics: Table Stakes for Business Success
Training Industry Magazine - July/August 2019 - Table of Contents
Training Industry Magazine - July/August 2019 - 7
Training Industry Magazine - July/August 2019 - 8
Training Industry Magazine - July/August 2019 - 9
Training Industry Magazine - July/August 2019 - 10
Training Industry Magazine - July/August 2019 - Let's Build a Measurement Practice for L&D
Training Industry Magazine - July/August 2019 - 12
Training Industry Magazine - July/August 2019 - Brain-Based Learning Analytics and Evaluation Practices
Training Industry Magazine - July/August 2019 - 14
Training Industry Magazine - July/August 2019 - Who [Else] Cares About Learning Impact Data
Training Industry Magazine - July/August 2019 - 16
Training Industry Magazine - July/August 2019 - Justifying the Investment in Leadership Training
Training Industry Magazine - July/August 2019 - Is Training Analytics Smoke and Mirrors?
Training Industry Magazine - July/August 2019 - 19
Training Industry Magazine - July/August 2019 - 20
Training Industry Magazine - July/August 2019 - 21
Training Industry Magazine - July/August 2019 - Leveraging Analytical Tools to Transform L&D
Training Industry Magazine - July/August 2019 - 23
Training Industry Magazine - July/August 2019 - 24
Training Industry Magazine - July/August 2019 - 25
Training Industry Magazine - July/August 2019 - Levearging Learning Analytics to Improve Business Outcomes: Where to Start
Training Industry Magazine - July/August 2019 - 27
Training Industry Magazine - July/August 2019 - 28
Training Industry Magazine - July/August 2019 - 29
Training Industry Magazine - July/August 2019 - 30
Training Industry Magazine - July/August 2019 - 31
Training Industry Magazine - July/August 2019 - 32
Training Industry Magazine - July/August 2019 - Was It Worth It? Measuring the Impact and ROI of Leadership Training
Training Industry Magazine - July/August 2019 - 34
Training Industry Magazine - July/August 2019 - 35
Training Industry Magazine - July/August 2019 - How to Make the Transition to a Data-Driven Learning Culture
Training Industry Magazine - July/August 2019 - 37
Training Industry Magazine - July/August 2019 - How Personal Skills AI Assistants Might Disrupt Corporate Training
Training Industry Magazine - July/August 2019 - 39
Training Industry Magazine - July/August 2019 - 40
Training Industry Magazine - July/August 2019 - 41
Training Industry Magazine - July/August 2019 - Machines Are the Future of Training: How Data-Driven Feedback Is Fostering Improvement and Enhancing Human Relationships
Training Industry Magazine - July/August 2019 - 43
Training Industry Magazine - July/August 2019 - 44
Training Industry Magazine - July/August 2019 - 45
Training Industry Magazine - July/August 2019 - 46
Training Industry Magazine - July/August 2019 - Improving Instructor Impact on Learning with Analytics
Training Industry Magazine - July/August 2019 - 48
Training Industry Magazine - July/August 2019 - 49
Training Industry Magazine - July/August 2019 - A Year in the Life: Evolving L&D Metrics From a Reporting Managed Service to Business Insight Partner
Training Industry Magazine - July/August 2019 - 51
Training Industry Magazine - July/August 2019 - Localizing E-Learning Programs for an International Audience
Training Industry Magazine - July/August 2019 - 53
Training Industry Magazine - July/August 2019 - 54
Training Industry Magazine - July/August 2019 - Learning Analytics Is More Than Data Collection
Training Industry Magazine - July/August 2019 - 56
Training Industry Magazine - July/August 2019 - Using Business Data to Drive Training Objectives
Training Industry Magazine - July/August 2019 - 58
Training Industry Magazine - July/August 2019 - Quality versus Quantity: How Analytics Can Improve Training Effectiveness
Training Industry Magazine - July/August 2019 - Coursera Reaches Unicorn Status and Accelerates Enterprise Product Innovation
Training Industry Magazine - July/August 2019 - Company News
Training Industry Magazine - July/August 2019 - Cover4
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