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Data literacy is the ability to read, understand, create, and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. [1] It is, however, not similar to the ability to read text since it requires certain skills involving reading and understanding data. [2]
Data-informed decision-making (DIDM) gives reference to the collection and analysis of data to guide decisions that improve success. [1] Another form of this process is referred to as data-driven decision-making, "which is defined similarly as making decisions based on hard data as opposed to intuition, observation, or guesswork."
Data from LSLAs give governments evidence to address system inefficiencies by providing answers to key questions, such as who is learning what and who is not, where, when and why. [9] Learning achievement scores and information from the background questionnaires are generally used by experts and researchers to describe the knowledge and skills ...
Standardized test scores might be the best success indicator for lower-income students. With conflicting data on standardized tests, holistic admissions have gained favor in recent years, an ...
The purpose of standards-based assessment [5] is to connect evidence of learning to learning outcomes (the standards). When standards are explicit and clear, the learner becomes aware of their achievement with reference to the standards, and the teacher may use assessment data to give meaningful feedback to students about this progress.
At present, learning standards have become an important part of the standards-based education reform movement, in which learning standards are tied directly to rubrics and assessments in many schools; standardized tests are often used for grade-level evaluations within districts and states, and across states; standardized exams are used to ...
A data definition specification requires data definitions to be: Atomic – singular, describing only one concept. Commonly used and ambiguous terms should be defined. [2] While a term refers to one concept, several words may be used in a term: File – A concept identifiable with one word; File extension – A concept identifiable with more ...
Arguably, in all these cases, "data quality" is a comparison of the actual state of a particular set of data to a desired state, with the desired state being typically referred to as "fit for use," "to specification," "meeting consumer expectations," "free of defect," or "meeting requirements."