Ben Kornell, Managing Partner at Common Sense Growth Fund and co-founder of Edtech Insiders, dives into the intricacies of AI tutoring. He differentiates between AI-powered search and genuine tutoring, emphasizing how AI can enhance human interaction. The conversation explores age-specific needs, with younger students benefiting from personal connections while older ones seek independence. Ethical concerns, such as bias and dependency, are also discussed, alongside exciting future developments that may make AI tutoring feel almost like science fiction!
True AI tutoring requires a personalized approach that assesses a student's unique data and learning objectives for effective outcomes.
As AI tutoring evolves, it must navigate ethical concerns and dependency risks while addressing the emotional dynamics between students and AI.
Deep dives
Defining Effective AI Tutoring
AI tutoring is often misunderstood as merely being an AI-powered search tool rather than a structured learning experience. True tutoring involves a personalized approach, where a tutor assesses a student's data, understands their learning objectives, and builds a connection with them. This interaction allows for targeted guidance in developing skills, bridging gaps in knowledge, and addressing misconceptions over time. The distinction between effective AI tutoring and generic AI responses highlights the importance of structured, relational learning experiences to achieve meaningful educational outcomes.
Age-Specific Approaches in AI Tutoring
The effectiveness of AI tutoring varies significantly based on the age of the student and their developmental stage. For older students, tools that facilitate self-guided learning and concept breakdown can be beneficial, as these learners are more capable of instigating their own tutoring needs. Conversely, younger students require more hands-on support, motivation, and relationship-building to engage effectively with AI tools. Understanding these age-related differences is crucial for developing AI tutoring products tailored to meet the specific needs of diverse student populations.
Navigating Risks and Future Implications of AI Tutoring
As AI tutoring evolves, it faces various risks, including data privacy concerns, inaccurate responses, and potential biases embedded in AI models. Additionally, there are fears about the dependency students may develop on AI tutors, blurring the lines between human interaction and artificial relationships. Such dynamics can lead to unforeseen emotional reactions, as students may form attachments to AI characters, either positively or negatively. Recognizing and addressing these risks is essential to ensure that AI tutoring enhances educational experiences without compromising the integrity of learning.
In this episode, Owen and Libby chat about AI tutoring with guests, Ben Kornell, Managing Partner at Common Sense Growth Fund, and Alex Sarlin, a veteran in the edtech industry. Both co-founded Edtech Insiders, a leading newsletter and podcast covering the growing Edtech industry.
Ben and Alex differentiate between AI-powered search and true AI tutoring, and discuss trends like AI-enhanced human tutors, hybrid models, and fully autonomous AI bots. The conversation highlights the need for AI to integrate- and learn from traditional education in developing key elements, such as targeting the right zone of proximal development. Human tutors have the ability to sense motivation and frustration, helping students through the more challenging parts of learning. Emerging technologies are now using facial and physical cues to gauge engagement, proving valuable as nudges for AI tutors or human instructors to boost motivation or adjust level of content.
They also address ethical and political risks, such as biased responses and dependency issues. With exciting developments on the horizon, the episode explores the at times seemingly sci-fi-like future of AI tutoring!
Guest bios:
Ben Kornell - Ben is currently serving as the Managing Partner of Common Sense Growth Fund at Common Sense Media. Prior to that, they have worked as a School Board Member for the San Carlos School District and was the Co-Founder and Podcast Host of Edtech Insiders.
Alex Sarlin - Alex is a 15 year veteran of the Edtech industry, as a Product Manager and Learning Engineer at both large Edtech companies (2U, Scholastic, Chan Zuckerberg Initiative) and startups (Coursera, Skillshare, Credly, Knewton). He is currently a consultant and adviser to a number of Edtech companies in higher education and the future of work. He holds a Master's of Instructional Design from Columbia University, and is the founder of Edtech Insiders, a leading newsletter and podcast covering the growing Edtech industry.