National Data of Education
National data of education
The starting point for the creation of an event-history database is the source registers for official statistics. Within education the three files mentioned above (enrolments, graduates and attainment) are arranged for the purpose of making them comparable over time. New data are merged with old data and classification variables are compared one by one. All changes for each classification variable is assigned with dates and coded as gains or loss records by a set of predefined rules. Only new information is interesting in the database. Each course, discipline or education that a person starts is registered with start and end dates.
Several predefined variables are integrated in NUDB to better extract indicators on the throughput of students. Two types of variables exist: Variables to be set once, and unable to change over time (e.g. Year when first time registered in upper secondary and tertiary education, year when first time graduate from compulsory, upper secondary and different stages of tertiary education and number of semesters in education before a first-time completion of a level) and variables based on gains, changes and losses (=event-history variables) in the individual's period of education (e.g. Number of semesters in education at any level and number of semesters within a specific program, to determine whether the completed degree is within a normal timeframe. Some educational programs are very modular and cannot be defined as beyond or within a normal timeframe).
The National Education Data Model is a conceptual but detailed representation of the education information domain. The Education Data Model strives to be a shared understanding among all education stakeholders as to what information needs to be collected and managed at the local level in order to enable effective instruction of students and superior leadership of schools.
The Education Data Model can be used by educators, vendors, and researchers to
The starting point for the creation of an event-history database is the source registers for official statistics. Within education the three files mentioned above (enrolments, graduates and attainment) are arranged for the purpose of making them comparable over time. New data are merged with old data and classification variables are compared one by one. All changes for each classification variable is assigned with dates and coded as gains or loss records by a set of predefined rules. Only new information is interesting in the database. Each course, discipline or education that a person starts is registered with start and end dates.
Several predefined variables are integrated in NUDB to better extract indicators on the throughput of students. Two types of variables exist: Variables to be set once, and unable to change over time (e.g. Year when first time registered in upper secondary and tertiary education, year when first time graduate from compulsory, upper secondary and different stages of tertiary education and number of semesters in education before a first-time completion of a level) and variables based on gains, changes and losses (=event-history variables) in the individual's period of education (e.g. Number of semesters in education at any level and number of semesters within a specific program, to determine whether the completed degree is within a normal timeframe. Some educational programs are very modular and cannot be defined as beyond or within a normal timeframe).
The National Education Data Model is a conceptual but detailed representation of the education information domain. The Education Data Model strives to be a shared understanding among all education stakeholders as to what information needs to be collected and managed at the local level in order to enable effective instruction of students and superior leadership of schools.
The Education Data Model can be used by educators, vendors, and researchers to