The phrase "assessment objects" is correct and usable in written English.
It can be used in contexts related to education, evaluation, or measurement, referring to items or tools used to assess knowledge or skills.
Example: "The teacher prepared various assessment objects to evaluate the students' understanding of the material."
Alternatives: "evaluation items" or "assessment tools".
Augmented reality (AR) has been considered for use as a landscape simulation system in which a landscape assessment object created by 3D models is included in the present surroundings.
Comparatively, Self-Assessment Object (SAO) is a type of learning object used to examine usefulness in order to impart declarative knowledge.
The State Department's intelligence unit, Ms. Rice said, "was the one that within the overall intelligence assessment had objected to that sentence".
Through analyzing excerpts of talk (an architect's meeting with a client, and a design education critique) we can see how the collaborative nature of conversation contributes to understandings and assessments of objects.
The result shows that the proposed metric could be used to provide an overall quality assessment of object oriented software system in early stage of development life cycle, which may be helpful to the developer to fix problems, remove irregularities and non-conformance to standards and eliminate unwanted complexities in the early development cycle.
The drawbacks of recently published approaches for automated pattern recognition appear to include an over-evaluation of final steps in image assessment like object extraction and classification [ 37- 40].
These tests might be useful to compare assessments of object recognition and spatial learning and memory in humans and animal models.
The paper presents risk assessment of construction objects for the project of commercial center construction.
The overall condition assessment of such objects is highly desirable; however, it is also extremely difficult, if not impossible, to achieve.
The initial results of this work are promising and will be used as the foundations for the further development of an automated tool for contextualized quality assessment of learning objects inside repositories.
