Research Studies: EI Component

Evidence-Based Methodology

At Valley2Peak AI, our approach is a unique synthesis. We aim to build the models for our EI component on a foundation of established scientific principles from learning science and psychology to provide a comprehensive look at the problem. Our innovation is envisioned to be a hybrid framework that builds upon this established science with a new model that provides a finer granularity for self-discovery.

The Problem of Training Transfer and The Forgetting Curve

The primary challenge in professional development is ensuring that skills learned in a classroom setting are successfully applied to job performance. This problem, known as training transfer, has been a subject of academic inquiry for decades.

• A classic review by Baldwin & Ford (1988) established the variables that influence whether training actually sticks and is applied.
• The fundamental reason for this failure is explained by the Forgetting Curve, a principle identified by Hermann Ebbinghaus (1885), which demonstrates how quickly knowledge is lost over time without reinforcement.

The Scientific Evidence for the EI Retention Gap

The goal of our methodology is to directly address the documented failures of traditional training by providing a foundation that can lead to lasting change in Emotional Intelligence.

• Lacerenza et al. (2017): This meta-analysis of leadership training studies revealed that for training to be effective, reinforcement and a focus on application are crucial.
• WEIT 2.0 (2023): This study on an online Emotional Intelligence program provides contemporary evidence that gains can be sustained for up to 6 months in a study, demonstrating the potential for technology-driven solutions.

EI Component: The Two Pillars of Our Solution

Our approach will be a unique synthesis of two established fields that work together to operationalize our method.

• Learning Science & Neuroscience: Spaced Repetition and Active Recall.
• Psychology: Our unified framework is a synthesis of foundational psychological systems including Transactional Analysis, Cognitive Behavioral Therapy (CBT), and Jungian Archetypes.

And our innovation, a hypothesis that by creating a system with a finer granularity, we can operationalize the established science of learning and psychology in a more effective way than ever before. This hypothesis will aim at testing by our early adopter program.

References

• Baldwin, T. T., & Ford, J. K. (1988). Baldwin & Ford 1988 transfer of training.
• Barrett, L. F. (2017). How Emotions Are Made: The Secret Life of the Brain.
• Barrett, L. F., & Russell, J. A. (1999). Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant.
• Beck, A. T. (1976). Cognitive Therapy and the Emotional Disorders.
• Berne, E. (1961). Transactional Analysis in Psychotherapy.
• Bowlby, J. (1969). Attachment and Loss, Vol. 1: Attachment.
• Ebbinghaus, H. (2013). Memory: a contribution to experimental psychology. Annals of Neuroscience, 20(4), 155-156. doi: 10.5214/ans.0972.7531.200408.
• Held, M. J., Fehn, T., Gauglitz, I. K., & Schütz, A. (2023). Training Emotional Intelligence Online: An Evaluation of WEIT 2.0. Journal of Intelligence, 11(122).
• Jung, C. G. (1969). The Archetypes and the Collective Unconscious.
• Karpicke, J. D., & Roediger, H. L. (2008). The critical importance of retrieval for learning. Science, 319(5865), 966-968. doi: 10.1126/science.1152408.
• Lacerenza, C. N., Reyes, D. L., Marlow, S. L., Joseph, D. L., & Salas, E. (2017). Leadership training design, delivery, and implementation: A meta-analysis. Journal of Applied Psychology, 102(12), 1686-1718. doi: 10.1037/apl0000241.
• Murre, J. M. J., & Dros, J. (2015). Murre & Dros 2015 forgetting curve replication.
• Nickl, A. T., & Bäuml, K. H. T. (2023). Retrieval practice reduces relative forgetting over time. Memory, 31(10), 1412-1424.
• Norcross, J. C., & Goldfried, M. R. (2005). Handbook of Psychotherapy Integration.
• Siegel, D. J. (2012). The Developing Mind: How Relationships and the Brain Interact to Shape Who We Are. (For top-down vs. bottom-up processing in development)
• Vos, J., & van Rijn, B. (2022). The Effectiveness of Transactional Analysis Treatments and Their Predictors: A Systematic Literature Review and Explorative Meta-Analysis. Journal of Humanistic Psychology, 0(0).
• Wampold, B. E. (2001). The Great Psychotherapy Debate: Models, Methods, and Findings.

Researching the Evolution of Knowledge

Valley2Peak AI will not be just built on research—it is envisioned to be a platform, the living laboratory, for creating it. Our unique human-in-the-loop system is envisioned to pioneer a new paradigm for academic research, where a feedback loop between AI and human scholars refines and evolves knowledge itself. We envision our platform as a place where the insights generated by our community’s direct interaction will provide a source of real-world data to drive the continuous validation and evolution of knowledge.