The phrase "acquaint students" is correct and usable in written English.
It can be used when referring to the act of making students familiar with a particular subject, concept, or information.
Example: "The teacher's goal is to acquaint students with the fundamentals of mathematics before the exam."
Alternatives: "familiarize students" or "introduce students".
Some students had never seen broccoli or cauliflower, so Jill Dogmanits, a sixth-grade teacher, started taste tests to acquaint students with those vegetables and healthy snacks like hummus, fresh pineapple and whole-wheat bagels.
This is exactly analogous to the plight of the biology teacher trying to acquaint students with the richness of modern biology in states where fundamentalist opponents of evolution hold sway.
Traditional clinical programs explicitly acquaint students with science and technology, but not so much with art and theater.
It helps acquaint students with college assignments and often includes trips to museums or New York City.
(2) To acquaint students with computer and web-based learning materials.
In addition to these programs, a Computational Biology course was designed and implemented to acquaint students with the concepts, principles, and methodologies of computational biology.
We argue that the classroom is a good place to start acquainting students with these principles, and to start getting them into the habit of adhering to them as a matter of routine practice.
Plant recognition: This field of study acquaints students with a broad range of plant life, ranging from flowers to conifers.
There he helped acquaint the students and faculty with American agricultural techniques and educational methods.
The reason is to acquaint the students with BLDC motor bipolar and unipolar driving, especially when studying the dynamic behavior of the electrical motors from starting, during stable working to the transient operating phase.
The intent was to acquaint the students with this widely used software and to present some of the important low-level analysis such as normalization and quality control involving preprocessing and flagging data as well as advanced methodology (pathway analysis).
