Biological Science Teachers, Postsecondary

Some tasks for college biology teachers are already handled by software. For example, modern learning systems can track who is in class and keep grades. New AI apps like Socrait even automatically log attendance, praise, or behavior from listening to a lesson ^[1].

Teachers also use tools that auto-grade quizzes and basic tests. In fact, many instructors are starting to use ChatGPT-like bots to help write and grade assignments ^{[2] [2]}. These tools can score multiple-choice exams and draft feedback on papers quickly.

However, deeper teaching tasks are still very human. Designing experiments, leading lab discussions, mentoring students, or serving on committees rely on teachers’ expertise and caring. Even in research, AI just augments the process: tools can summarize papers or crunch data, but professors still choose what to study and write up results ^[3].

In short, AI can take over routine paperwork and some grading, but most teaching and scholarly work still needs a human touch.

AI tools are available and growing, but schools adopt them slowly and carefully. Many teachers try ChatGPT or similar tools for lesson planning and grading large classes, since these can save a lot of time ^[2]. For example, one report notes that AI has been grading student essays for years in huge university courses (where a lone professor could never read every paper) ^[2].

On the other hand, educators often worry about fairness and quality. One study found “some educators are using chatbots for grading – a task many teachers say should not be outsourced” ^[2]. Schools must balance the cost of new AI systems versus hiring faculty, and many have to set policies on how AI is used.

Right now, AI is mostly used to augment teachers – handling repetitive tasks so professors can spend more time on important work. This technology may grow in use, but skills like creativity, empathy, and lab mentorship remain uniquely human and very hard to automate ^{[2] [3]}.