Data Analysis Techniques For e-Learning Efficacy

G-Cube

The data generated is at an unprecedented level, yet effective use of this data remains nascent. Here is how data analytics can be used for effective eLearning. The efficiency of an adaptive system is measured by its ability to optimize on results by effecting these changes.

Your Bayesian Brain – Are you wired for statistics?

Learningtogo

The Expectation Effect is a concept in psychology that suggests we get the results in life that we have come to expect. Google Research is studying how to use Bayesian analysis to predict the impact of ads on marketing and sales.

mLearning: Smartphone statistics and the impact they have on learning

Zephyr Learning

We have isolated a few of the statistics to highlight why understanding this is important for mlearning. Statistics are based on UK analysis of smartphone users. Statistic 1. When we talk about efficiency in learning the statistics are very important. Statistic 2.

Moodle 3.6: Improved Moodle Quiz Statistics and Reporting

eThink Education

The latest updates to the Quiz Statistics Report in Moodle 3.6 specifically focus on the response statistics of randomized questions. Essentially, this created much confusion and difficulty in simply viewing randomized question analytics directly from the statistics reports page.

The unscience of evaluation

E-Learning Provocateur

The big challenge I see with evaluating learning in the workplace is how to demonstrate causality – ie the link between cause and effect. Well, if a few hundred employees undertake training, but no one measures its effect, did it make a difference?

Effective Learning – Musings from the UnConference

Learning Cafe

This blog post is a summary of the “ Effective Learning ” stream of the Learning Cafe UnConference which was led by Bob Spence. Even less effort seemed to be taken to conduct any worthwhile analysis of this data. Effective Learning

The “un-science” of learning evaluation

Learning Cafe

The big challenge I see with evaluating learning in the workplace is how to demonstrate causality – ie the link between cause and effect. Well, if a few hundred employees undertake training, but no one measures its effect, did it make a difference? To determine with some level of confidence whether a particular training activity was effective, the following eight factors must be considered… 1. Nor does it mean it will have the same effect in Sydney next year.

The unscience of evaluation

E-Learning Provocateur

The big challenge I see with evaluating learning in the workplace is how to demonstrate causality – ie the link between cause and effect. Well, if a few hundred employees undertake training, but no one measures its effect, did it make a difference?

Evolving Research On The Effectiveness of MOOCs

SkyPrep

As they rise in popularity, more research is being done to find out how to make them more effective educational tools. BostInno also reported on MIT’s emerging analysis technology for MOOC programs. The Atlantic provided statistics that reflect this mindset.

Facts are a bitch

E-Learning Provocateur

• What is the most effective mode of delivery? Tags: instructional design analysis Parramatta assumptions bias prejudice I was going to blog next about my favourite talk at TEDxCanberra , but before I do that I just want to share my musing for today.

Adapting to Adaptive Learning

CLO Magazine

Corporations, especially large ones, increasingly recognize the potential of artificial intelligence, cloud computing, big data analysis, apps and robots, as well as augmented and virtual reality-based solutions to solve complex organizational challenges. The processes include training needs analysis, curriculum design and development, course delivery, training administration, evaluation and financial management.

Do Ya?

Gyrus

In many cases they are inspired to understand at a strategic level the results of their efforts via reporting and analysis. This makes sense because these Training Managers invest a lot of energy and company resources ensuring their staff development programs are effective.

Learning Analytics: Advanced Evaluation Complexity

Watershed

We see this in our Learning Analytics Research Study data , where there isn’t one analysis type that has significantly more report views than the rest. Advanced Evaluation & Analysis Types. 2) Drop Off Analysis. 3) Segment Analysis. 4) Workflow Analysis.

Baseball and your Learning Organization

Gyrus

Statistics are not just limited to the baseball field. Statistics are powerful. We are living in the golden age of reporting, where statistics are feeling less like math and more like real world functionalities that are understandable and accessible.

Cammy Beans Learning Visions: The Rise of Rapid e-Learning

Learning Visions

Some insightful industry analysis, surrounded by a lot of marketing speak. They have become adept at incorporating flash animations, pdfs, PowerPoint presentations, audio-visual material and any number of other techniques for getting training messages across to users in effective and imaginative ways. Does anyone actually have any real statistics on this? So the end game is transferring the knowledge in an easy and effective manner, and then following up in person.

Summary of #Games Research Qualitative Literature Review Conducted by Fengfeng Ke

Kapp Notes

Most of the time a meta-analysis of studies looks at only the numbers as a means of comparison. Here is an interesting qualitative meta-analysis and the highlights of the results. Fengfeng Ke, a researcher focusing on digital game-based learning, computer-supported collaborative learning, and simulations for instructional use, conducted a review of 89 research articles that provided empirical data on the application and effectiveness of computer-based instructional games.

The Learning Styles Zombie

Clark Quinn

They did a meta-analysis of the research out there, and concluded this with statistical rigor. Not with psychometric validity (that means tests that stand up to statistical analysis). It’s June, and June is Learning Styles month for the Debunker’s Club.

Numbers Don’t Lie: ROI of Corporate Training

LearnDash

Another training analysis showed that training geared for sales and marketing professionals resulted in 24% higher profit margins and an increase in sales of up to 6.5%. decisionpulse.com/newsletter/7-leadership-development-statistics-you-should-know.

ROI 203

Learning Measurement: Don’t Over Promise and Under Deliver!

Performitiv

These are very different statements the latter is much harder to argue without significant statistical data. Unless you do the statistical analysis or a deep ROI Impact Study, talk about the correlation you have to the data. ‘We can prove the learning impacted results!’

2019 eLearning Predictions – Hype Curve

Web Courseworks

We’ve based our predictions on analysis of over 2.3 As mentioned above, we based our analysis on over 2.3 A test of proportions was used as a statistical hypothesis test of the specificity of a word to the field of eLearning.).

Where Employees and Employers Don’t See Eye to Eye [Infographic]

Pract.us

The same survey found that 92% of HR managers felt their onboarding processes were very or somewhat effective. Statistical analysis and data mining. Many employers are claiming to have a hard time filling job openings.

Survey 117

Training Reinforcement: 7 Things You Need to Know

Knowledge Guru

It’s not a pretty statistic. Information that is presented over spaced intervals is learned and retained more easily and effectively. The more personalized your training reinforcement is to each learner, the more effective your overall training initiative will be.

Dramatic Use of Educational Data Mining in Corporate eLearning

Adobe Captivate

Most of the decision-making daily is a result of the statistical analysis. IBM Watson, a pioneer in the field of Cognitive Medical Analysis, uses diversified medical information across the hospital branches, to help doctors save time during diagnosis. Data in Day-to-Day Life.

Is Big Data Training Really Important? Hottest Sectors in Big Data

WalkMe Training Station

Big data has gained relevance in recent years, where technological capabilities have forged a greater scope for analysis. This level of analysis can help businesses use big data to great effect. This has created multiple job opportunities in fields like analysis, computer science, and mathematics. Experts need a combination of statistical and analytical skills, alongside computer programming.

Re-thinking Workplace Learning: extracting rather than adding

Performance Learning Productivity

Context is Critical Although the Corporate Executive Board study is a good one, it didn’t tell us anything new about the importance of context for effective learning.

Games Teach!

Kapp Notes

One of the studies cited by Dr. Richard Clark against the use of games for learning is also cited by myself in my book is the meta-analysis (study of studies) by Robert Hays of the Naval Air Warfare center Training System Division who conducted a review of the literature in 2005. In his review of the literature, Hays eliminated 169 of the documents due to structural flaws, the use of opinion instead of statistics, and other research related flaws.

Teach 213

Getting Started With Learning Data and Analytics

CLO Magazine

Metrics can have the effect of gamifying your job and instilling a motivation and passion in your team. This level of analytics uses statistical techniques like correlation and regression analysis (think college level math) to determine which variables drive change in other variables.

The science of using audio in e-learning

From the Coleface

One of the greatest advances since I was at university is Google, so I started by trying to answer three questions: Is e-learning with audio more effective than e-learning without audio? Are there certain types of audio that are more effective than others? If a corporate L&D manager thinks something will work, the whole business should have it – there’s rarely time (or the inclination) to run a control group vs. test group analysis.

Audio 100

Evidence or Proof of L&D Impact? Why Not Both?

Performitiv

This is where you assemble significant amounts of data, run statistical models like regression analysis to show a link between the learning program and the business outcome. In the world of Learning & Development (L&D), impact is super important.

Games Teach!

Kapp Notes

One of the studies cited by Dr. Richard Clark against the use of games for learning is also cited by myself in my book is the meta-analysis (study of studies) by Robert Hays of the Naval Air Warfare center Training System Division who conducted a review of the literature in 2005. In his review of the literature, Hays eliminated 169 of the documents due to structural flaws, the use of opinion instead of statistics, and other research related flaws.

Teach 193

7 big opportunities that MOOCs offer corporates

E-Learning Provocateur

While Coursera and others offer MOOCs covering business and management topics that are relevant across the enterprise, it’s important to realise that other topics (such as statistics, law and IT) may also be relevant to particular teams.

Roles 274

AI and Learning Systems: Is This Combo as Great and Powerful as it Seems?

Talented Learning

As our lead analyst, John Leh, noted in a recent learning technology trends analysis, “It’s important to keep in mind that AI is hard to demonstrate and easy to exaggerate.” Industry statistics show that this shift is already underway.

3 Ways to Show Your Organization How Valuable You Really Are

EthosCE

From course completion statistics to learner assessment data, having a clear portrait of the success (or failings) of your CME courses is key to the future success of your program. Stop the Data Gap Nightmare: A 30-Second View of Data Gap Analysis.

Tracking your Compliance Training Program – What Your LMS Needs to Do

Interactive Services

As most compliance functions already know, an effective Learning Management System (LMS) is key to administering an effective compliance training program. This is why an effective LMS is so crucial.

Track 52

Re-thinking Learning and Performance from a Business Standpoint

ID Reflections

These number of hours typically show up as statistics in the annual HR report and is of very little interest to either the CXOs or the employees. If anything, ironically these statistics further confirm the inefficacy of training. Today’s employees cringe at the thought of having to attend training programs when they know that they can figure out how to get the work done more quickly and effectively – either by asking their network or by going to Google.