The phrase "human instructors" is correct and usable in written English.
It can be used when referring to teachers or educators who are actual people, as opposed to automated systems or artificial intelligence.
Example: "In this course, we will have human instructors who will guide you through the material and provide personalized feedback."
Alternatives: "live instructors" or "real teachers".
Amid acute budget crises, state universities like mine can't afford to take that very big step — adopting the technology that renders human instructors obsolete.
The most important requirement of this kind was the need for an instructor modelling component so that adaptivity could be provided to human instructors (authors).
Andrea Thomaz, a TR35 innovator for 2009, created robots that can learn simple grasping tasks from human instructors who use social cues, such as verbal instructions, gestures, and expressions.
Without the benefit of large classes within the university, smaller classes that still require human instructors may no longer be viable.
Moreover, their virtual lessons were evaluated as either being superior or on par with human instructors, and motivation among students was "extremely high".
This required exploration of current methods of training by human instructors, as well as exploration of novel ways in which software-based instruction could emulate human instruction, or even provide alternative instructional strategies beyond what a human instructor is capable of providing.
"Even the best technological wizardry can never replace a human instructor," Mr. Blakeslee said.
In the past, the features of each task's goal were explicitly described by a human instructor through language.
The development of a robotic system interacting with a human instructor requires not only highly skilled sensorimotor coordination and action planning but also the capability of understanding and communicating with a human being in a natural way.
We illustrate the merits of this approach through an example where the robot is able to correctly learn from "flawed" demonstrations by taking the visual perspective of the human instructor to clarify potential ambiguities.
These agents add adaptivity and interactivity to the learning environment and act as a human instructor which guides the learners in a friendly and personalized teaching environment.
