In this episode, we explore the multifaceted journey of cognitive scientist Ken Koedinger. With a diverse academic background encompassing degrees in computer science, mathematics, and psychology, Ken's unique trajectory converged at the intersection of technical expertise and an intrinsic understanding of human learning. This fusion of disciplines drew him into the realms of cognitive psychology and educational technology research.

Within this intricate landscape, cognitive models emerge as powerful tools, endeavoring to illuminate the implicit cognitive processes and foundational knowledge that underpin human expertise and learning. Ken employs a combination of think-aloud protocols and insightful analysis of learner data to meticulously dissect the mental components and conditional knowledge that come into play when tackling complex tasks, such as mathematics and science problem-solving.

Intelligent tutoring systems stand as the ultimate manifestation of this synergy between cognitive models and education. These systems seamlessly incorporate cognitive models to deliver adaptive instruction and feedback to learners as they navigate through learning activities. With the cognitive model acting as a vigilant sentinel, it keenly observes student actions, discerning the evolving mastery of essential knowledge components.

At the helm of Carnegie Mellon University's LearnLab, Ken Koedinger spearheads a pioneering initiative committed to embedding research within the educational landscape to enhance learning outcomes. LearnLab serves as a dynamic hub, equipping educators with indispensable tools, robust data infrastructure, and comprehensive training in the realm of learning engineering.

In the ever-evolving realm of education, the advent of groundbreaking AI capabilities, such as chatbots, presents a new frontier. These technologies offer valuable support in designing interactive learning activities. However, they do not operate in isolation; they require meticulous human oversight and quality control. While students may be tempted to employ AI for shortcuts, Ken emphasizes the potential limitations of such tactics, which may inadvertently restrict their own learning.

Overall, Koedinger underscores that the integration of these new AI technologies is not a disruptive revolution but rather a thoughtful evolution. This transformation hinges upon a judicious alignment with educational goals and assessments, ushering in a promising era where technology and pedagogy harmonize to elevate teaching and learning to new heights.

Guest Information & Links: 
See Ken's Full Bio - https://hcii.cmu.edu/people/ken-koedinger 

LearnLab website: https://learnlab.org

Carnegie Learning: https://www.carnegielearning.com/

Cognitive Tutor Authoring Tools: https://github.com/CMUCTAT/CTAT/wiki

Open Learning Initiative: https://oli.cmu.edu

Tutors+ project: tutors.plus

Gorilla Science Project: https://gorillalogic.com/gorilla-labs/

ASU Digital Maker Studio [Podcast Studio]: https://lx.asu.edu/digitalmakerstudio