AI Resilience Report forPsychology Teachers, Postsecondary

Right now, AI is mostly augmenting psychology professors rather than replacing them — but the changes are real, and they're hitting the parts of the job that involve creating materials, answering routine questions, and grading writing. Learning platforms are racing to add AI features for faculty: Instructure, whose Canvas software is used by more than 40 percent of higher education institutions across North America, just launched its IgniteAI Agent, which can automate "low-value" tasks for faculty such as rubric generation, content alignment and discussion reviews, "frees educators to focus more on mentoring, feedback and meaningful learning experiences". Adoption is widespread — an EDUCAUSE report covered by EdTech Magazine ^[1] found that most respondents (94%) say they have used AI tools for work within the past six months, only 54% are aware of their institutions' policies regarding AI use.

For psychology faculty specifically, the APA's Monitor on Psychology ^[2] reports that AI has so rapidly and drastically changed the learning environment that some teachers have taken extreme measures, such as reverting to Scantrons (standardized multiple-choice forms) or blue books, to ensure that student work is original. The tasks resistant to automation — moderating classroom discussion and collaborating with colleagues — remain firmly human. As one psychology lecturer at the University of New Hampshire put it ^[3], "When it comes to education, there's no place for a robot to do the thinking or the preparation for exams, or the difficult effort-based work it takes to write".

Adoption is moving quickly because tools are cheap, bundled into existing learning management systems, and students are already using them — an NPR report on college AI rules ^[4] cites a survey showing about 85% of undergraduates were using AI for coursework, including to brainstorm ideas, outline papers and study for exams. Roughly 19% of students also reported using AI to write full essays. But faculty pushback is slowing wholesale automation.

The Conference on College Composition and Communication recently passed a resolution ^[5] affirming the rights of students and faculty to refuse the use of generative AI in the writing classroom, citing labor, privacy, and critical-thinking concerns. Psychology educators echo this — the APA Monitor encourages ^[2] instructors to emphasize process over product by dividing large writing tasks into a series of smaller, scaffolded assignments rather than handing grading to algorithms. The takeaway for young people: a psychology professor's deepest skills — sparking discussion, mentoring, and modeling how humans actually think and feel — are exactly what AI can't fake, and those human qualities are becoming more valuable, not less.