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
    -1•4 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.