1, data acquisition tool.
Data collection tools include questionnaires, observation records, interviews, tests or inspections. These tools can be used to collect various data of students, teachers, schools and education systems.
2. Data storage and management.
Data storage and management includes establishing and managing a database or data warehouse for storing collected data. These data can include student information, academic performance, teacher evaluation, teaching resources and other education-related data.
3. Data analysis and mining.
Use statistics, data mining and machine learning to analyze and mine the collected data. Through data analysis, we can reveal students' learning characteristics, teaching effect and the influence of educational policies, and provide basis for decision-making.
4. Data visualization and reporting.
The data results obtained from the analysis are displayed intuitively in the form of charts, reports and documents. Through data visualization, we can understand and communicate the results of data analysis more intuitively and promote the formulation and implementation of decisions.
Methods to realize the collection of educational data;
1, student assessment test.
Schools or educational institutions can use standardized student assessment tests, such as general exams and standardized exams, to collect data on students' academic performance and academic ability.
2. Questionnaire analysis.
Collect educational data from students, teachers, parents or other relevant personnel through questionnaires. The questionnaire can include questions about students' background, learning style, evaluation of teaching methods, educational needs and so on.
3. Internet information technology tools.
Use information technology tools and systems to collect educational data. For example, school management system, student information management system and online learning platform can record and store data related to students' learning.