Key research themes
1. How can teaching strategies and pedagogical tools be optimized to improve student understanding and performance in projectile motion?
This research area addresses the persistent challenges in effectively teaching projectile motion within physics education, focusing on strategies, technological aids, and curriculum design to enhance learners' conceptual understanding and problem-solving abilities. It matters because projectile motion is often a difficult topic for students, impacting overall performance in physical sciences and STEM subjects.
2. What are the advances in modeling projectile motion that incorporate complex physical effects such as resistance, relativistic mass variation, and interactions with target materials?
This theme focuses on sophisticated mathematical and computational modeling techniques that enhance the accuracy of projectile motion representation by considering factors like retarding forces modeled via fractional derivatives, relativistic dynamics with velocity-dependent mass, and projectile-target interaction dynamics during penetration. These modeling advancements are crucial for applications in engineering, defense, and physics research where traditional projectile motion assumptions are insufficient.
3. How can computational technologies, including artificial intelligence and computer vision, be leveraged to analyze and predict projectile motion phenomena?
This research theme explores the application of advanced computational tools such as machine learning neural networks for predicting projectile motion under complex conditions, and computer vision algorithms coupled with filters for real-time posture recognition and trajectory estimation. These innovations enable precise analysis and practical interventions in sports training, forensic investigation, and educational visualization.