NEW! Boost Training Transfer With Predictive Learning Analytics Certificate
 

A Series of 4 Online Sessions. 

There are no remaining course dates for 2024. Join our 'Stay Informed' list and we'll let you know when 2025 dates are available.

Register Early! Course size is limited.

 

Certificate Overview

This certificate is designed to help you gain knowledge and develop skills that will allow you to reduce the amount of learning in your organization that is delivered but not applied back on the job. The gap or difference between learning delivered, but not applied back on the job, is called Scrap Learning. Scrap Learning is a significant problem that holds your organization back and is costly to ignore. It wastes valuable resources such as time and money and puts the credibility of L&D departments at risk. There is a solution: Predictive Learning Analytics. This revolutionary new evaluation methodology can help organizations bridge the gap between learning delivered and applied on the job. Using five key metrics, Predictive Learning Analytics (PLA) pinpoints the underlying causes of Scrap Learning associated with a learning program. It then provides a process to identify targeted corrective actions to mitigate or eliminate these causes. With Predictive Learning Analytics (PLA), L&D departments can confidently help their organizations achieve better learning transfer and save both time and money. You'll end the course knowing how to reduce or eliminate Scrap Learning and achieve the learning outcomes you, and the business executives you support, wish to achieve.

Bonus Items:

• A comprehensive workbook covering all the information taught during the course.
• A booklet titled "Evaluate Learning with Predictive Learning Analytics," written by Ken Phillips
• Nine measurement and evaluation articles by the same author on various levels of evaluation.
• An ebook titled "The L&D Revolution: New Rules, New Tools." 
• A Predictive Learning Analytics Project Implementation Guide, which provides a road map for implementing the PLA methodology. This guide comes with a series of job aids that provide detailed information about each step.
• Access two voluntary 60-minute post-program virtual coaching sessions. The first session follows modules one and two, while the second follows modules three and four. These sessions aim to answer any questions about the material covered, help you implement the PLA methodology, and provide support and encouragement. You can also contact Ken directly by phone or email for further assistance.

Course Details:

This program is designed to help you gain knowledge and develop skills that will allow you to reduce the amount of learning in your organization that is delivered but not applied back on the job. The program focuses on "what to do" and "how to do it." Specifically, you will learn how to calculate and analyze five key data sources, two of which are predictive and three are descriptive. These sources will help you measure, monitor, and manage any scrap learning associated with a training program. Additionally, the program provides ample time to design an actual Predictive Learning Analytics initiative that you can implement immediately on the job. You also will share your work with other participants and receive valuable feedback and new ideas from them and Ken.

Prerequisites:  

There are no prerequisites for this course. However, a strong desire to measure, monitor, and manage the Scrap Learning associated with a training program is essential.

Who Should Attend:  

This certificate is ideal for L&D professionals who want to learn how to use data to identify and address the causes of Scrap Learning associated with a training program.

Course Objectives

After attending this comprehensive, “hands-on” course, you will be able to:

• Identify the impact Scrap Learning has on wasted organization resources and lost credibility with business executive stakeholders.
• Use five key Predictive Learning Analytics metrics to identify the underlying causes of Scrap Learning associated with a training program.
• Predict which participants are most likely, at-risk, and least likely to apply what they learned in a training program back on the job.
• Predict which managers of the program participants are likely to provide active or passive support for the training.
• Determine which research-based training transfer components and training transfer factors contribute the most and least to training transfer.
• Calculate the amount of scrap learning associated with a training program and identify the obstacles inhibiting participants from applying what they learned.
• Validate the accuracy of your participant training transfer predictions using Level 2 and Level 3 evaluation data.
• Create reports showing your Predictive Learning Analytics results and gain increased credibility with business executive stakeholders.

Course Methods:

Each online session contains small group activities, presentations, and facilitated discussions. Your responsibility is to participate in each actively. Also, to gain maximum benefit from the program, please select a training program you would likely use with the Predictive Learning Analytics (PLA) methodology in the practical application activities of the certificate. Four factors to consider when choosing a program are:

1. Does the program have a high profile with company executives?
2. Does the program have high development or implementation costs?
3. Are a large number of participants scheduled to attend the program?
4. Is the program designed and developed internally?

Selecting an existing training program will help you get a solid start with applying the tips and guidelines you learn.

Course Materials

• A pre-course materials packet that provides information about the certificate, the learning objectives, business outcomes, and the schedule.
• A comprehensive workbook containing all the information taught in the training program, including outlines of all the presentations and descriptions of all the individual and small-group activities you will engage in during the course.
• A booklet titled "Evaluate Learning with Predictive Learning Analytics," written by Ken Phillips
• Nine measurement and evaluation articles by the same author on various levels of evaluation
• An ebook titled "The L&D Revolution: New Rules, New Tools.". These resources reinforce and elaborate on the material covered in the program and serve as ready references for reviewing specific program content.
• A Predictive Learning Analytics Project Implementation Guide that serves as a place to record your observations and plans for using the information you learned on the job. It also provides a road map for implementing the three-phase, nine-step PLA process and includes a series of job aids providing in-depth details.

Sessions

During this certificate, you will participate in the following four (4) sessions:

Session 1:

• Scrap Learning and its impact on wasted organization resources and lost credibility.
• Predictive Learning Analytics Overview
• Phase 1: Step 1 Select a target training program.
• Phase 1: Step 2 Administer your PLA survey and collect data.

Session 2

• Phase 1: Step 3 Calculate the Learner Application Index, Manager Training Support Index, and Training Transfer Component Index scores.
• Phase 1: Step 4 Calculate the Scrap Learning baseline percentage and identify obstacles to training transfer.

Session 3

• Phase 2: Step 5 Develop targeted corrective actions to maximize training transfer.
• Phase 2: Step 6 Conduct Level 2 and 3 evaluations to validate the accuracy of your predictions.

Session 4

• Phase 2: Step 7 Recalculate the Scrap Learning percentage following the implementation of the targeted corrective actions.
• Phase 3: Step 8 Report your Predictive Learning Analytics results to crucial business executive stakeholders.

Instructor

Ken Phillips, CPTD
Ken delivers all programs and workshops in his signature style: professional, engaging, and approachable. He is the founder and CEO of Phillips Associates and the creator and chief architect of the Predictive Learning Analytics (PLA) learning evaluation methodology. He has more than 30 years of experience designing learning instruments and assessments. Also, to his credit are more than two dozen published learning instruments and articles. Ken also authored the recently released ATD TD at Work publication titled: "Evaluate Learning With Predictive Learning Analytics."

Course Dates

DECEMBER 2024 COURSE DATES: There are no remaining 2024 course dates. Join our 'Stay Informed' list and we'll let you know when 2025 dates are available.

Session 1: Coming in 2025!
Session 2: Coming in 2025!
Session 3: Coming in 2025!
Session 4: Coming in 2025!
Rain Date: Coming in 2025!
The "Rain Date" is a date to reserve on your calendar. It will be used in the unlikely event that an earlier session can not run as planned due to technical difficulties or a speaker emergency.

Each session is 3 hours in length

All sessions start at 1:00pm Eastern Time (New York time). Here is the time of the sessions listed in various time zones:

• 10:00 am - 1:00 pm Pacific Time (PT)
• 11:00 am - 2:00 pm Mountain Time (MT)
• 12:00 pm - 3:00 pm Central Time (CT)
• 1:00 pm - 4:00 pm Eastern Time (ET)

For times in other cities, visit Time & Date Converter. All sessions are recorded. In order to earn your Certificate of Completion, you must log in for and participate in each live course and successfully complete any homework assignments by specified deadlines. Recordings of sessions are intended for review purposes only.
 

Course Rates

Early Bird Registration 30+ days prior to course start date: $795

Registration within 30 days of course start date: $945

Train as a Team and Save!
For questions on group discounts, visit fees & discounts.

Course Equipment

IMPORTANT - You'll participate in online and collaborative activities in a number of ways, each designed to provide a unique means to interact and learn from experts and colleagues. All course delivery software operates at Internet connection speeds of 56.6 kbps or better, on PC, Mac and Unix platforms. Courses will use teleconferencing or VoIP (voice over Internet Protocol.) The login instructions emailed to you approximately one week prior to the start of the course will outline platform use as well as any headset requirements or suggestions. Each registrant must provide their own laptop or desktop computer and other equipment (such as a headset, if noted in your login instructions) in order to fully and successfully participate in the course. Please test your login information a minimum of 48 hours in advance on your course start date on the computer you will be using for the course.

 

ATD Initial Eligibility and Recertification 

Training Magazine Certificates have been pre-approved by the ATD Certification Institute to offer educational programs that can be used towards initial eligibility and recertification of the Certified Professional in Talent Development (CPTD) and Associate Professional in Talent Development (APTD) credentials.  For questions on initial eligibility and recertification, visit ATD Certification Institute. 

This program has been approved for a maximum of 12 points.