TK2020 Event

Want More Value from Evaluation? AIM to Answer Two Questions

Thursday, February 6, 9:00AM – 10:00AM

While almost all learning is evaluated, less than half of organizations report that evaluation helps meet their learning and business goals. Data create no value. People acting on meaningful data within the L&D process create value. The Alignment and Impact Model (AIM) focuses evaluation on helping all stakeholders create value. AIM incorporates purpose, process, stakeholder roles, and two questions to guide evaluation design and focuses on maximizing learning, transfer, and impact. Examples demonstrate the fundamentals of AIM and how it can be implemented and used.

Applications on the Job:

  • Learn the fundamentals of AIM and discover whether your L&D evaluation practice is creating value for your organization.
  • Apply the AIM model through key stakeholder analysis and two fundamental questions to improve L&D evaluation.
  • Leverage technology to implement AIM, streamline L&D evaluation, and save your organization time and money.

Presenters


 

Dr. Eric A. Surface

Founder, CEO and Principal Scientist

Dr. Eric A. Surface has a passion for helping clients use evidence-based insights to improve learning, capability, performance and impact in their organizations. Eric leverages science, measurement and analysis methods, technology and over two decades of experience to help individuals, teams and organizations excel. Eric has led many consulting engagements for corporate, government, non-profit and military clients focused on analyzing data and delivering insights to help clients achieve their goals and accomplish their missions. To help more people improve their impact and create value in their organization, Eric envisioned ALPS IbexTM as an expert system to help all stakeholders engage with, gain insights from and act on learning, performance and business data within their role. He has spoken at numerous conferences and co-authored articles appearing in peer-reviewed journals, such as Journal of Applied Psychology, Journal of ManagementHuman PerformanceHuman Resources Management Review and Journal of Business and Psychology, and in practitioner publications, such as Training Industry Magazine. Eric is an award-winning industrial/organizational psychologist, an honorary member of US Army Special Operations Forces, and a Fellow of the American Psychological Association, the Society for Industrial/Organizational Psychology and the Society for Military Psychology. He is the current president of the Society for Military Psychology. He earned his PhD in Industrial/Organizational (I/O) Psychology at North Carolina State University, his MA in I/O Psychology at East Carolina University, and his BA in Psychology at Wake Forest University. He was an Army Research Institute for the Social and Behavioral Sciences (ARI) Consortium Research Fellow and Post-Doctoral Fellow.

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TK2020 Event: Thurs, February 6, 10:15AM-10:45AM
Optimizing your LEAF practice is your best opportunity to improve learning and its impact. Less than half of organizations indicate evaluation helps them meet their learning and business goals. Data alone doesn’t create value. People acting on data create value. Our ALPS Ibex™ platform drives effective, purpose-driven evaluation empowering L&D stakeholders with insights and creating a culture of continuous improvement in the workplace. Examples demonstrate how using ALPS Ibex helps L&D stakeholders Act on Insights™ to drive improvement and impact.

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Each of us can recall an instructor who made learning engaging, relevant and impactful, inspiring us to apply what we learned. Unfortunately, each of us can also recall an instructor who failed in one or more these areas. Instructors are force multipliers, reaching hundreds — if not thousands— of learners, impacting both their learning experience and motivation to transfer. So, how can we improve instructor impact on learning?

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During recent conference presentations and webinars focused on analytics, big data and evaluation, we noticed audience members asking, “What questions should I be asking [and answering with evaluation data and analytics]?” Speakers typically answer these questions one of two ways: either by recommending collecting specific types or “levels” of data, as if all relevant questions for all learning and development stakeholders should be immediately identified and addressed; or by recommending collecting and tagging as much data as possible so the data analysts figure it out, as if the important questions will only emerge from analyzing all the data after the fact.

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Training evaluation should provide insights not only about the effectiveness of training but also about how it can be improved for learners and organizations. In this context, the term “insights” implies a deep understanding of learning, the training process and its outcomes as well as evaluation procedures – designing, measuring, collecting, integrating and analyzing data from both a formative and summative perspective.

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