Notendata

Notendata is data related to student grades and assessment outcomes collected by educational institutions. It typically records how learners perform on exams, assignments, projects, and other assessments, and may include both numeric scores and final letter grades. Notendata can be stored at course level or rolled up to terms, programs, and entire institutions, enabling calculation of metrics such as grade point averages, pass rates, and distribution of grades.

Typical data elements include: student_id, course_id, term, assessment_type, score, max_score, grade, instructor_id, and timestamp. Additional context may include credits earned, program or major, and demographic or cohort information for analytics. Data sources include learning management systems, student information systems, examination boards, and official transcripts. Interoperability and standardization challenges arise from varying grading scales and policies across institutions.

Applications of notendata include evaluating student performance, identifying at-risk learners, informing instructional improvements, guiding resource allocation, and supporting accreditation and policy decisions. Researchers use the data to study outcomes across courses, programs, and cohorts, and to benchmark performance against peers.

Privacy and governance considerations are central to handling notendata. Access should be restricted by roles, and data should be de-identified or anonymized for research. Data quality and provenance are important, with documentation of grading schemes and changes. Data retention, consent, and data-sharing agreements are common considerations, and practices typically aim to comply with applicable privacy laws and institutional policies.

Related topics include educational data, learning analytics, and grade point averages.