Grading & Results

Result Analytics

Result Analytics provides data-driven insights into exam performance at multiple levels — individual exams, classes, branches, and the entire organization. These analytics help instructors and administrators identify trends, evaluate exam effectiveness, and make informed decisions about curriculum and assessment design.

Exam-Level Insights

Each exam has an insights panel on its detail page showing real-time performance metrics. These metrics update automatically as submissions are graded:

Field	Required	Type	Description
Total Attempts	Required	number	Number of learners who started the exam.
Completed Attempts	Required	number	Number of learners who submitted the exam.
Average Score	Required	number	Mean score across all completed attempts.
Passing Rate	Required	percentage	Percentage of completed attempts that met the passing marks threshold.
Top Score	Required	number	Highest score achieved across all attempts.
Lowest Score	Required	number	Lowest score among completed attempts.

Interpreting Metrics

A low passing rate may indicate questions that are too difficult or that learners need more preparation time. A very high average score might suggest the exam is too easy. Compare the top and lowest scores to understand the performance distribution.

Class & Branch Performance

Performance data can be viewed at the class and branch level for broader analysis:

Field	Required	Type	Description
Exam Title	Required	text	Name of the exam being analyzed.
Average Score	Required	number	Mean score for the exam across all learners.
Total Attempts	Required	number	Number of learners who attempted the exam.
Pass Rate	Required	percentage	Percentage of learners who passed the exam.
Completion Rate	Required	percentage	Percentage of learners who submitted out of those who started.
Trends	Optional	object	Change indicators for average score, pass rate, and completion rate compared to previous periods.

Branch-level analytics extend these metrics with additional fields for branch name, exams completed out of total exams, and comparative performance across branches.

Item Analysis

Item analysis examines individual questions within an exam to evaluate their effectiveness. For each question, you can review:

Correct Response Rate — Percentage of learners who answered the question correctly. Very high or very low rates may indicate issues with the question.
Discrimination Index — How well the question differentiates between high-performing and low-performing learners. A good question should be answered correctly more often by high scorers.
Option Distribution — For MCQ questions, how responses were distributed across options. This reveals whether distractors are effective.
Average Time Spent — How long learners spent on the question on average, indicating difficulty or clarity issues.

Reports & Exports

BeamEdUp includes a Report Builder for creating custom reports from analytics data. Reports can be configured with:

Custom data sources (exam results, learner performance, branch analytics)
Selectable fields and columns to include in the report
Filters to narrow data by date range, branch, class, or exam
Grouping and sorting options for organizing the data
Visualization types for graphical representation of trends
Export formats including CSV, PDF, and XLSX
Scheduled reports that run automatically and email results to recipients

Actionable Insights

Use analytics to continuously improve your assessments. Questions with consistently low correct-response rates should be reviewed for clarity. Questions where all learners score perfectly may not be providing useful differentiation. Schedule regular reports to track performance trends across terms.

Publishing Results

Guardian Overview