Why is it Important to Measure Your Corporate Training Programs with Learning Analytics?

InfoPro Learning

Companies invest millions into their online learning and development programs every year and for good reason. Effective training programs can provide some pretty valuable benefits including increased employee retention, boosted morale, improved productivity and a rise in profits. Unfortunately, not all learning and development programs are successful. Measuring the ROI of your L&D Programs with Learning Analytics. Blog Corporate Training Learning Analytics

Training Needs Analysis Vs Performance Analysis

Lambda Solutions

No matter the product, service, or business goal, all teams benefit from regular and insightful analysis. But with the sheer number of analytical models on offer, and the wealth of data that today’s LMS provide, making strategic choices can be a stressful process. When it comes to measuring success and targeting improvements, two types of analysis stand out as the most commonly run: a Training Needs Analysis (TNA), and a Performance Analysis (or PNA).

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Leadership Analytics

Your Training Edge

And, more importantly, what analytics can be used to ensure that leadership talent is used efficiently and appropriately? Let’s look at some broad categories of leadership analytics. First, behavioral profiling is an excellent analytical tool. There are two ways to approach behavioral analytics for leaders. Analysis of teams is also an excellent analytical tool. Leadership training and development in itself can be used as an analytical tool.

Learning Analytics Dimensions: Learning Experience Analysis

Watershed

As we completed our Learning Analytics Research Study , we found many reports that fell into the Learning Experience category. Not only were there more reports, but they also were more varied—leading us to create nearly double the amount of dimensions under this category than compared to the Learner and Learning Program categories. What are learning experience analytics? Learning experience analytics focus on the learning experiences, platforms, and content themselves.

Learning Analytics Dimensions: Learning Program Analysis

Watershed

Welcome to our fifth installment exploring results from our Learning Analytics Research Study and what they mean in practice. This week, we’re diving into the dimensions under the Learning Program categories. (We’ll Learning Program Dimensions. Learning Program analytics means looking at a group of learners on a particular program of learning. Status: comparing people with different statuses for a program (e.g. Learning Analytics

Learning Analytics Dimensions: Learning Program Analysis

Watershed

In this learning analytics article, Andrew Downes explores the dimensions under the Learning Program categories and covers 'Learning Program Analysis

Learning Analytics Dimensions: Learner Analysis

Watershed

Welcome to our fourth installment exploring results from our Learning Analytics Research Study and what they mean in practice. We’ll pick up the Learning Program and Learning Experience categories in our next posts.). Learner analytics means looking at learning data from the perspective of what people are doing and how they are performing. Up Next: The Learning Program Category. What types of learning analytics are you using? Learning Analytics

Learning Analytics: Complexities & Analysis Types

Watershed

The last few posts in our Learning Analytics Research series have looked at the three categories of learning analytics (i.e. learner, program, and experience) and their respective dimensions. Analytics start with measurement, or the simple act of tracking things and recording values to tell us what happened. Otherwise, it’s impossible to do any analytics. In current practice, most analytics fall into the basic data evaluation category, and that’s OK.

Why Your Organization Needs Skill Gap Analysis

Lambda Solutions

Discover how to find and close skills gaps in your learning and development programs and watch your training effectiveness improve along with learner performance to the benefit of your entire organization. AnalyticsYou don’t know what you don’t know, but there is a way to find out!

What is Prescriptive Analytics and Why Should You Care?

Talented Learning

For a growing number of companies, data analytics is now the most important source of customer insight. However, because AI and machine learning technologies are changing rapidly, the role of analytics also continues to expand and evolve. This begs several questions: How do descriptive, predictive and prescriptive analytics differ? Which kind of data analytics makes sense for your organization? Defining 3 Data Analytics Categories. 1) Descriptive Analytics.

Measurement Matters: 3 Data Analytics Lessons to Remember

Talented Learning

But these days, it’s hard for any of us to avoid analytics , no matter what we do for a living. Some of us avoid data analytics because it involves so many moving parts: Valid and reliable methods. Great data analytics tools are plentiful today. Curly’s little nugget of wisdom is as useful in analytics as it is in life. Free Google Analytics , anyone?) Ask anyone who treats analytics like breathing. Lesson 3: Analysis Without Action Is Pointless.

The Essential Guide to Learning Analytics in the Age of Big Data

Lambda Solutions

Download The Essential Guide to Learning Analytics in the Age of Big Data and keep it as your eLearning secret weapon! This article is designed to be your A-to-Z guide to learning analytics. Use this as a valuable resource to successfully initiate a learning analytics approach within your company. You’ll discover: The basic concepts of learning analytics. How to use learning analytics for evaluation. How to implement learning analytics in your organization.

Enabling Deeper Tracking Of Learning Objectives With Learning Analytics

eLearning Industry

Learning objectives set a goal for your training program. Integrate learning analytics. eLearning Design and Development Free eLearning eBooks Learning Analytics Learning Objectives Training Needs AnalysisBut how do you know if your training is able to meet set objectives? This post was first published on eLearning Industry.

Learning Analytics: Predictive & Prescriptive Complexity

Watershed

The highest complexity of learning analytics is predictive and prescriptive analytics. And, out of the 5,713 reports we reviewed as part of our Learning Analytics Research Study , we only found one Watershed client with a handful of spider chart reports that we classed as “Predictive and Prescriptive.” In this post, we’ll explain how these reports are being used and suggest other ways you can try predictive or prescriptive analytics in your organization.

Getting Started With Learning Data and Analytics

CLO Magazine

Maybe there’s an executive demanding more visibility into your program, or perhaps you just want a better understanding of how things are going so you can find ways to make them better. You’re ready to get started with learning data and analytics, but where do you begin? There are two places to look for your first data analytics project. Those are easy places to start using analytics. There are different levels of complexity and types of learning analytics to measure.

Meet Learning Outcomes with Predictive Learning Analytics

MagicBox

Predictive Learning Analytics (PLA) is a multidisciplinary approach that puts in practice predictive models that provide actionable information. Predictive Learning Analytics aims to deliver educational content as per learner’s need and ability. 4 ways predictive learning analytics decreases ineffective learning. Predictive Learning Analytics is useful in identifying and mitigating certain issues that hamper the effectiveness of learning programs.

What Are Corporate Learning Analytics? [Recap]

Watershed

Learning Analytics seem like a bit of a dark art, a mystery. It’s this question that inspired us to conduct our Learning Analytics Research Study so we could better understand how our clients are implementing these analytics in practice. We aimed our research efforts at placing these organizations on the learning analytics triangle as a measure of maturity, and creating an overall picture of how real people are doing real learning analytics. Learning Analytics

Learning Analytics: Report Types

Watershed

There’s only one direction left to slice and dice findings from our Learning Analytics Research Study —which looked exclusively at how clients use Watershed, including report types. In terms of report views, the Program report took first place. What's a Program Report? The Program Report is a type of report unique to Watershed that presents a collection of visualizations designed to give an overview of a learning program’s progress and completions.

Here’s the latest thinking on measurement, analytics and reporting

CLO Magazine

Analytics and the Use of Microdata. As organizations gather and store more data at an employee level, analytics can be used to identify relationships among different measures. Third, programs and computing power are facilitating the use of microdata, which simply means that data are available at the individual level for further analysis or for follow-up with the employee. Another activity at this level of maturity is the higher-level analytics discussed earlier.

How to Create Online Training Programs for Bank Employees

Kitaboo

These training programs can help employers make their workforce future-proof and benefit significantly in terms of increased productivity for years to come. In fact, every dollar invested in online training programs offers a return on investment (ROI) of $30. Analytical skills.

Learning Evaluation & Pheromone Analytics

Watershed

Find out more about pheromone analytics and how they can help put learners on the right learning path. Well, that’s sort of how this blog post about pheromone analytics came to be. Several years ago, Andrew Downes attended the Learning Analytics and Knowledge (LAK) conference in Edinburgh, Scotland. There was one idea in particular, pheromone analytics, that caught his interest. Pheromone analytics isn’t a term we’ve heard before or since attending that LAK conference.

Meet Learning Outcomes with Predictive Learning Analytics

MagicBox

Predictive Learning Analytics (PLA) is a multidisciplinary approach that puts in practice predictive models that provide actionable information. Predictive Learning Analytics aims to deliver educational content as per learner’s need and ability. 4 ways predictive learning analytics decreases ineffective learning. Predictive Learning Analytics is useful in identifying and mitigating certain issues that hamper the effectiveness of learning programs.

Needs analysis– something old, something new

Allison Rossett

Even when working on classroom programs, they were flummoxed by the scores of decisions they had to make. Others prefer needs analysis. Many weigh in for performance analysis or front end analysis. Analysis is what we do before we do anything. Analysis is systematic planning and systemic execution. Analysis basics. Analysis is how we do better. The substance of the program. New Analysis.

Needs analysis– something old, something new

Allison Rossett

Even when working on classroom programs, they were flummoxed by the scores of decisions they had to make. Others prefer needs analysis. Many weigh in for performance analysis or front end analysis. Analysis is what we do before we do anything. Analysis is systematic planning and systemic execution. Analysis basics. Analysis is how we do better. The substance of the program. New Analysis.

5 Trends in Compliance Training Analytics 

Interactive Services

Effectiveness of Compliance Training Analytics. A number of studies examine the effectiveness of compliance training analytics. Compliance Training Data Analysis. An important trend in compliance training metrics in the use of increasingly nuanced data analysis. In addition to data analytics, qualitative measures such as free-form interviews and observation can be useful tools. Predictive Analysis.

Learning Analytics: Data Evaluation Complexity

Watershed

Last week, we saw that Data Evaluation is by far and away the most common complexity level of Learning Analytics we observed in our research study. Within this complexity, we found 16 types of analysis represented, which we’ve bundled into three headings and will explore in this blog post. Frequency and completion analysis types look at how often things happen and if things have happened. This includes: Attendance Analysis: How many people showed up?

3 New Learning Analytics Trends Driving Education

eThink Education

In an age where instructors and administrators face many challenges when it comes to effectively training and educating, the field of learning analytics has grown to reflect the expanding use of data in other sectors. In other words, learning analytics follows the digital footprints of learners, transforming the way we can look at learning processes and enabling data-driven decisions in order to maximize student success. 3-Seeing the entire story with journey analytics.

5 Ways to Use Learning Analytics in K-12 Education

Kitaboo on EdTech

This is where data-based learning analytics can be leveraged. Enterprises have been utilizing data based learning analytics for a long time to make smart business decisions and increase their profitability. Plus, today we’ve got efficient learning analytics tools to collect and process the data with accuracy. What is Learning Analytics and Why is it Used in Education? What Role Does Learning Analytics Play in Shaping the Teaching Model?

Big Data Analytics in eLearning – What You Need to Know

Wizcabin

Big data analytics in eLearning is a complex process that learning professionals follow to check large sets of data. Benefits of big data analytics in eLearning to professionals. Big data analytics in eLearning is of more significant interest in learning professionals in many ways. Below are a few of the benefits that L&D professionals gain to make an impact on their learning program. ?

Training Needs Analysis & Learning Evaluation Overview

Watershed

But even the best designed, most comprehensive learning programs can fail if they don’t provide what learners actually need to improve and grow their skill sets. And this is where training needs analysis can play an important role. Thus, when it’s time to measure the effectiveness of your program, this data-driven approach ensures you have the metrics needed for analysis. What is training needs analysis? How can a training needs analysis go wrong?

A Meta-analysis Indicating the Benefits of Video Games for Older Adults

Kapp Notes

The study is called “Video Game Training Enhances Cognition of Older Adults: A Meta-Analytic Study.” ” The main aim of the meta-analytic study was to investigate the extent to which cognitive training with video games enhances cognitive functions in healthy older adults (age 60 and older). We conducted a meta-analysis to examine the hypothesis that training healthy older adults with video games enhances their cognitive functioning.

From intuition to knowing for sure: a case of applying learning analytics at course level

Joitske Hulsebosch eLearning

The value of these data is in analyzing and interpreting: what we call learning analytics. We recently experienced the power of learning analytics and gladly share this experience with you. Intuitively we felt that we were on the right track with this online learning program. Online monitoring- analytics Curatr collects behind the scenes lots of data using Experience API (xAPI). Learning Analytics involves looking at the data, analyzing it and acting on the results.

Session Notes: "Driving Impact with Learning Analytics" Jeff Grisenthwaite #TrainingMag

Learning Visions

To increase the impact of learning programs, L&D need to ensure decision making and continuous improvement are supported by analytics. Do you have these analytics in place? How your program is actually influencing business metrics. Process Automation Where does your time go in terms of analytics? These are my live blogged notes from the Training 2015 Conference and Expo happening this week in Atlanta. Forgive any typos or incoherencies.

The Crawl, Walk, Run methodology for adopting learning analytics

Matrix

Yet along comes xApi , big data and analytics for learning. As with all major projects in an organization, implementation of learning analytics need to have clear and measurable objectives. After it is fairly clear why implementing Learning Analytics is necessary and how the project will be presented, it is time to begin the actual implementation. Running is the “professional” stage of implementing learning analytics. Learning Analytics are obviously the future.

EthosCE Analytics Spotlight: Advanced Data Exploration

EthosCE

As a CME director, you know that the success of your program is tied to the quality of the data that you use to make day-to-day decisions. In this post, we’ll explore the types of data that are critical to your decision-making process as your program scales, and show you the easiest way to get your hands on your most important data quickly. Impact analysis reports on activities content and global curriculum updates.