Artificial intelligence (AI) is providing instructors and course designers with an incredible array of new tools and techniques to improve the course

This article highlights how AI is transforming instructional design. A lot of the ideas brought up in the article like AI providing personalized or adaptive learning, tutoring, gamification, and AI-enhanced assessments can benefit students with learning disabilities or who are neurodiverse. As someone with ADHD receiving immediate feedback and lessons that use a variety of mediums to convey key concepts can help me stay engaged. #accessibility

  • Eheran@lemmy.world
    11·
    3 months ago

    Some people here are super anti LLM, no wonder you get downvoted. You use it as a tool? How dare you! They are stupid and uncreative and only copy stuff from the Internet!

    Me:

    Write python code that calculates K_eq for temperatures from 300 to 1000 °C given: d_R_H =172530 J/mol d_R_S =176.69 J/(molK) d_R_G =d_R_H-d_R_ST K_eq = exp(-d_R_G/(8.314T)) p_total_initial = 1.0 p_CO2_initial = 0.5 p_CO_initital = 0.0 x = 1/8(K_eq**0.5*(8p_CO_initital+16p_CO2_initial+K_eq)**0.5-4p_CO_initital-K_eq) p_CO2_eq = p_CO2_initial - x p_CO_eq = p_CO_initital +2x p_total_eq = p_CO2_eq + p_CO_eq Now iterate p_CO2_initial until p_total_eq = p_total_initial Then calculate mole fraction of both: mole_fraction_CO2 = p_CO2_eq / p_total_eq mole_fraction_CO = p_CO_eq / p_total_eq Then plot mole_fraction_CO (starting from 0 going up to 1) over T. Add a secondary y-axis containing the same y-values in reverse order (starting from 1 going up to 0) since this is exactly 1-mole_fraction_CO, but without drawing another line, since they would be ontop of each other. Then annotate both y-axis: Left hand side is “Mole fraction of CO” and right hand side is “Mole fraction of CO2”. Title is “Boudouard Equilibrium”. Unit of x-axis is “°C”.

    And you know what I got first try? Exactly that. I did some more refining but it worked out of the box as specified.