Collection

2025 Northeast Section Conference

Authors

Bala Maheswaran; Meghna Sridhar; Yiannis Levendis; Hameed Metghalchi

, encouraging them to incorporate environment, gaining insights into the complexities andrenewable energy solutions into their designs. Engaging with challenges of renewable energy systems. The projectheliostat technology stimulates innovation and creativity, requiring involved the construction of a miniature heliostat using 3D-students to think critically about efficiency and effectiveness in theirproblem-solving approaches. Moreover, the interdisciplinary nature printed components, laser-cut materials, motors, sensors,of heliostat energy—encompassing fields such as optics, and Arduino programming to replicate the operationalthermodynamics, design process, use of sensor, rapid prototyping

Collection

2025 Northeast Section Conference

Authors

Teresa Piliouras; Steffi Crasto; Chinmay Dharap; Pui Lam Yu; Navarun Gupta

engagement is essential for sustaining interest evaluation and argument deconstruction; and fostering intellectual investment—particularly in o In workplace training, critical thinking programs subjects like critical thinking, digital literacy, and should be tailored to industry-specific needs to cybersecurity. Traditional lecture-based instruction ensure relevance and practical application. often fails to capture attention or demonstrate Healthcare training might emphasize diagnostic relevance. Educators can address this by emphasizing reasoning, data protection, and ethical decision- real-world applications, interactive problem-solving

Collection

2025 Northeast Section Conference

Authors

Elyas Irankhah; Sashank Narain; Kelilah L. Wolkowicz

reinforces [29]. In addition to improving engagement, AI-driven Tic-educational paradigms and develops cognitive learning [14]. Tac-Toe teaches students about the limitations of AI. WhileAI-powered games promote logical reasoning, outcome AI can calculate the best moves based on the current gameanticipation, and strategic decision-making [15]. Some studies state, it cannot predict human decision-making with absoluteshow that AI-powered learning programs can improve test certainty. This aligns with findings by F. Pedro, M. Subosa, A.scores by up to 62% [16][17]. Additionally, AI-assisted game- Rivas, and P. Valverde, which emphasizes the limited naturebased learning can predict student performance