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EDUCATIONAL DATA ANALYSIS#1
The process of examining and interpreting data related to student performance to improve educational outcomes.
STATISTICAL TOOLS#2
Software and methods used to collect, analyze, and interpret data, aiding in decision-making.
DATA-DRIVEN DECISION MAKING#3
Using data analysis to guide choices and strategies in educational settings for better outcomes.
DESCRIPTIVE STATISTICS#4
Summarizes data sets through measures like mean, median, and mode, providing a clear overview.
DATA VISUALIZATION#5
The graphical representation of data to help identify trends and patterns easily.
TRENDS#6
Patterns or movements in data over time that indicate changes in student performance.
ETHICAL CONSIDERATIONS#7
Principles guiding the responsible use of data, ensuring privacy and fairness.
DATA PRIVACY LAWS#8
Regulations that protect personal information and govern how data can be collected and used.
COMPREHENSIVE REPORT#9
A detailed document presenting analysis findings, methodologies, and actionable recommendations.
PEER REVIEW#10
A process where colleagues evaluate each other's work to ensure quality and accuracy.
CASE STUDIES#11
In-depth analyses of specific instances or examples that illustrate successful data-driven strategies.
ACTIONABLE RECOMMENDATIONS#12
Practical suggestions derived from data analysis aimed at improving student outcomes.
DATA ANALYSIS REPORT#13
A structured document summarizing data findings, trends, and implications for decision-making.
INTERPRETING DATA#14
The skill of making sense of data results and understanding their implications for coaching.
STATISTICAL METHODOLOGIES#15
Various methods and techniques used to analyze data and draw conclusions.
COACHING STRATEGIES#16
Approaches and methods employed by coaches to enhance student performance and learning.
FORMATIVE ASSESSMENT#17
Ongoing assessments used to monitor student learning and provide feedback for improvement.
SUMMATIVE ASSESSMENT#18
Evaluations at the end of an instructional unit to measure student learning against standards.
QUALITATIVE DATA#19
Non-numerical information that provides insights into student experiences and motivations.
QUANTITATIVE DATA#20
Numerical data that can be measured and analyzed statistically.
EDUCATIONAL STATISTICS#21
The application of statistical methods to analyze data in the field of education.
DATA ANALYSIS SOFTWARE#22
Programs designed to assist in the collection, analysis, and visualization of data.
INFORMED DECISION-MAKING#23
Making choices based on thorough analysis and understanding of data insights.
PROFESSIONAL REPORTS#24
Formal documents that communicate findings and recommendations to stakeholders.
COMMUNICATING FINDINGS#25
The process of effectively sharing analysis results with various audiences.