Written by 1:35 pm AI, Generative AI

### Enhancing Education with Personalized and Engaging Generative AI

Education has always been centered around the human element, and it’s hard to imagine a world…

CodeSignal, a platform designed for assessing specialized skills during the expert recruitment process, was co-founded and is spearheaded by Tigran Sloyan.

It is not surprising that educators harbor apprehensions towards relationalAI. Concerns revolve around issues such as plagiarism, the use of AI to generate essays, and the concept of “hallucinations,” where AI tools like ChatGPT and Bardconfidently assert information without full comprehension. There is a genuine fear that AI focused on concepts might overshadow genuine learning by aiding individuals in passing assessments without truly grasping and internalizing the material.

ChatGPT has transitioned into an impromptu personal tutor for millions, reshaping learning patterns and enhancing our educational interactions, despite the fact that AI has been utilized to circumvent the traditional learning process. Envisioning an AI-powered mentor that guides and supports students individually through the coursework is now a possibility due to AI’s scalability, offering potential benefits to learners.

AI possesses the capability to engender a sense of addiction to learning, a phenomenon that some individuals are already experiencing. The driving factors behind this phenomenon are less about cutting-edge advancements in AI and more about what motivates and engages learners.

As a child in Armenia, I was captivated by the fiercely competitive mathematics competitions, dedicating time to study and practice with the goal of winning. However, as an adult at MIT studying mathematics, I struggled to reignite that same passion. Much of my professional journey has been focused on understanding the motivations behind education, a journey that ultimately led to the creation of CodeSignal.

Defining the Concept of “Addictive”

It is challenging to envision a scenario where technology supersedes the human element, which has always been central to the field of education.

When I refer to AI making learning addictive, I am alluding to its ability to instill excitement, eagerness, and an unquenchable thirst for self-improvement and growth in individuals. This drive persists until the set goals are achieved, reflecting a sustained, long-term aspiration. Educators often grapple with cultivating self-motivated learners, prompting extensive academic research on the topic.

The significance of enthusiasm cannot be overstated. Learning is inherently gradual, with individuals gradually building confidence and proficiency over time, whether mastering a new language or embarking on a programming career. Renowned educationalist Zed Shaw once likened this process to “climbing a hill of misunderstanding.” The initial months are often the most challenging, marked by uncertainty and a lack of comprehension, making it easy to contemplate giving up. External motivators are crucial to encourage perseverance, with confidence, skill, and potentially recognition awaiting just beyond the horizon.

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Last modified: January 2, 2024
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