Using artificial intelligence platforms to support student learning in physiology.

The advent of artificial intelligence (AI)-powered language models presents new opportunities and challenges in education. By teaching students how to craft prompts that elicit insightful responses, faculty can scaffold activities where AI acts as a supplemental resource to amplify critical thinking and support student learning. Ongoing dialogue and iteration focused on ethical usage norms can achieve the right balance between emerging technology and foundational skills development.

Using the study cycle model to support better student learning: a faculty guide.

Despite years of varied school experiences, many college students do not have adaptable study methods that allow them to collect, organize, and reorganize information to critically assess what they know and what they need help with until after a poor exam performance. Faculty are frequently called on to help students become better learners. In addition, as the tasks and complexity of the material become more challenging, students will need to adopt new study habits and adapt them to each new learning opportunity to reach their goals.

Methods for radioactivity measurements in drinking water using gamma spectrometry.

In this study, three methods to measure activity concentrations of radionuclides through high resolution gamma spectrometry are developed, optimized, and tested on drinking water samples. Two pre-concentration methods (partial evaporation and ion-exchange resins) were optimized for accuracy, precision, detection limits, costs, preparation, and measurements times. A new sampling method for Rn was designed and optimized to directly sample water from the tap, reducing and minimizing losses of radon during the sampling.