I was on the fence about this one, as it rides the line between commercial and pitch, but the question I kept in mind for this “elevator pitch” was: what’s the pain point, and how does this solve it? This pitch for “sense.” seems to answer that critical question, and while I would want to know more about the fundamentals of the company, costs and their vision, I felt the admittedly long 2-½ minute elevator ride effectively intrigued me as a K-12 educator (I’m doing my best to imagine myself as an administrator or superintendent here) that might potentially invest (it was enough to check out their website at least). Check it out below and let me know your thoughts:
Thanks for this post, Brendan! This caught my interest as well. Particularly, the ability to scale personalized feedback to any number of students is very intriguing. Teacher costs are high for many institutions, so this would aid in this area. At the same time, a frequent complaint from students and faculty is that the teacher to student ratio is not appropriate and teachers do not have enough time to devote the attention to students that they need.
My big question for Sense is how they build their feedback libraries. I worked with an A.I. service similar to this in the past (although much less sophisticated from what I can tell) and the upfront investment of effort was massive. We essentially had to tell the system what the questions were and what the answers could be; we programmed it. If Sense has a range of subject areas covered already with answers that institutions feel confidently align with what they teach, then they could really be onto something. However, I do question how well it would handle subjective question types. The true value of Sense likely comes down the how robust the A.I. tech is, which I would really want to see in action in a deep level before I committed.
Thanks for this post, Brendan! This caught my interest as well. Particularly, the ability to scale personalized feedback to any number of students is very intriguing. Teacher costs are high for many institutions, so this would aid in this area. At the same time, a frequent complaint from students and faculty is that the teacher to student ratio is not appropriate and teachers do not have enough time to devote the attention to students that they need.
My big question for Sense is how they build their feedback libraries. I worked with an A.I. service similar to this in the past (although much less sophisticated from what I can tell) and the upfront investment of effort was massive. We essentially had to tell the system what the questions were and what the answers could be; we programmed it. If Sense has a range of subject areas covered already with answers that institutions feel confidently align with what they teach, then they could really be onto something. However, I do question how well it would handle subjective question types. The true value of Sense likely comes down the how robust the A.I. tech is, which I would really want to see in action in a deep level before I committed.