Enhancing Student Learning in Dynamics 2 Through Adaptive Technology and Targeted Interventions 

Enhancing Student Learning in Dynamics 2 Through Adaptive Technology and Targeted Interventions 

Amir Ghasemi

Tools: ChatGPT | Realizit               Keywords: #AI #ChatGPT #LLMs #Philosophy of AI #Data Science 

For several semesters, I have integrated Realizeit into my Dynamics 2 course—a junior-level mechanical engineering class at UNC Charlotte—to create a customized, adaptive learning environment.

Realizeit’s intelligent software continuously assesses each student’s understanding, identifying both their strengths and areas where they struggle. With a vast repository of practice problems and real-time feedback, the platform has significantly transformed the learning process. Instead of spending countless hours manually grading assignments, my TAs and I have been able to focus on more meaningful, hands-on interactions with students.

Building on this, in Fall 2024 and Spring 2025, I am leveraging Realizeit’s analytics to monitor student performance and implement personalized interventions. 

I categorized students into four distinct groups:

  1. High Achievers – Students who consistently excel.
  2. Struggling Learners – Students who face challenges in keeping up with the material.
  3. Inconsistent Performers – Students who start assignments with enthusiasm but struggle with follow-through.
  4. Whole Class – The general student population, reflecting overall trends in engagement and performance.

To enhance student engagement, I integrated ChatGPT to help craft targeted, automated interventions for each group:

  • High Achievers received congratulatory messages acknowledging their strong performance. Moving forward, I plan to challenge them with advanced problems and opportunities for extra credit to encourage deeper exploration of complex concepts.
  • Struggling Learners received personalized messages with clear, simplified explanations addressing their specific difficulties. I carefully crafted these messages in a supportive and engaging tone to maintain motivation while reinforcing key concepts. Additionally, I sent deadline reminders to help them stay on track.
  • Inconsistent Performers received recognition for their efforts along with gentle reminders to maintain consistency. These nudges encouraged them to follow through on assignments and build better study habits.

Using Realizeit and ChatGPT, I was able to provide personalized support at scale, something that would have been impossible to manage manually in a large and diverse classroom. This blended approach of adaptive learning and AI-powered interventions has led to higher submission rates, improved grades, and increased student engagement and satisfaction.

Beyond the numbers, this strategy has transformed the learning experience in Dynamics 2, making it more inclusive, responsive, and student-centered. By using data-driven insights to provide real-time, tailored support, I have reinforced my commitment to enhancing student success through technology-driven education—a vision that continues to shape my teaching philosophy.