photo credit: showme.missouri.edu
As the advancements in Ai and Web 2.0 become more and more sophisticated, we must pause and reflect on what is right for our new educators who are new the the profession. No matter if the rookie educator is in the classroom or a corporate trainer, is Ai and Web 2.0 right for them? Or, are we doing more harm than good?
Much of the blog, CTRL+ALT+Learn, has been devoted to the benefits of incorporating Web 2.0 and by extension Ai into pedagogy. I must be transparent on my bias however. I am not new to the game. I have been a corporate trainer for leadership skills and I am a veteran teacher who has the testing data to back up my opinions and classroom strategies. My tool belt is full of tricks and strategies that are easily incorporated on the fly if something doesn't work in the classroom or in front of the PD group.
Without touching on the legalities and pitfalls of creating "rogue" lesson plans not associated with an adopted curriculum/ textbook, what does the research data say about Ai/ Web 2.0 curated lesson plans?
This 2 part blog will look at 6 topics that mentors and rookie educators alike need to grapple with as we head into a new era in pedagogy: (Part 1) Pedological Bias, Context issues, Reduced Professional Development, (Part 2) Diminished Critical Thinking Skills, Time vs Quality, Ai as a Tool.
Risk of Pedagogical Bias and Outdated Approaches
Both the rookie educator and the mentor educator alike need to understand the context in which Ai are "trained" in order to offer responses to inquiry. Ai at this moment is not creative as humans understand creativity. Ai have to be "trained" on existing data. This data may be outdated, perpetuate myths (ie learning styles) and may not align with current best practices in education for the district/corporate entity. For example, a study in 2025 by Bodong Chen et al. (click here for article)
"found that AI-generated content predominantly promotes teacher-centered classrooms with limited opportunities for student choice, goal-setting, and meaningful dialogue"
Lack of Contextual Awareness and Accuracy Issues
Ai does not understand who your learners are, the context in which you are requesting the plans, the adopted text book, or even the culture of the district/company you work for. A study done in 2023 by Jeff Goodman out of Appalachian State University (click here for article) highlights the inaccuracies of Ai in creating science curriculum and the lessons not being suitable for grade level, student needs, and local curriculum standards.
Potential for Reduced Teacher Professional Development
The struggle is real for new educators. However, it is in that struggle that new educators must grapple with complexities of the craft. The act of lesson planning itself is a critical cognitive exercise that helps educators connect with the content deeply, while at the same time anticipate learner challenges to the instructional strategies. Kathleen Kennedy's article (click here for article) quantifies the potential for diminished teacher agency and the need for proper training.





