The Power BI - Course Attempts Overview report

Overview and purpose

The Course Attempts Overview Power BI Report offers a comprehensive analysis of course performance and associated content. The report focuses on user interactions with learning modules, SCORM packages, and quizzes, providing key insights into learner engagement, course effectiveness, and overall training progress. The report is structured across several interactive pages: Splash Page, Course Attempts Overview, Associated Content, Learning Module Attempts, SCORM Attempts, and Quiz Attempts. Each section provides detailed metrics and visualizations designed to help organizations assess and optimize their training strategies.

The purpose of this report is to enable organizations to monitor and evaluate learner performance across various training components. By offering granular insights into user progress, completion rates, and scores, the report supports data-driven decision-making, helping stakeholders to identify areas for improvement, optimize course content, and enhance learner outcomes.

 

Report structure

Overview

The report features multiple pages with interactive visualizations, including charts, graphs, and data tables. Users can explore specific data sets by using filters and slicers available on the left side of each page. These tools allow for a customized view, enabling stakeholders to focus on the most relevant data for their analysis.

 

Instructions for use

This report includes various charts and graphs that help you understand the data through visual representations. You can interact with visuals in a couple of different ways.

• Viewing Details: Hover over charts or graphs to view detailed information, including numbers and percentages.
• Drilling Down: Click on specific sections of charts (e.g. bars in a bar graph or slices in a pie chart) to drill down and display more detailed data. This interaction dynamically updates the entire page based on the selected section.

 

Course Attempts Overview Report splash page

 

Overview

The Splash Page introduces the Course Attempts Overview Power BI Report, offering guidance on navigating between sections. It provides essential context and ensures that users understand the report's structure and functionality.

 

Navigating to Report Sections

Click on any of the buttons to navigate to the specific pages within the report. Each button is clearly labeled according to the section it leads to, making it easy to move through the report seamlessly.

 

 

• Course Attempts Overview. Summarizes overall course performance across learning modules, SCORM attempts, and quiz attempts.
• Associated Content. Displays the relationship between courses and their associated learning modules, SCORM packages, and quizzes.
• Learning Module Attempts. Details user engagement with individual learning modules, including progress percentages and completion rates.
• SCORM Attempts. Provides an overview of SCORM package attempts, tracking completion status and scores.
• Quiz Attempts. Analyzes quiz performance, focusing on passing rates, scores, and user attempts.

 

Course Attempts Overview Page

 

Overview

The Course Attempts Overview Page provides a high-level summary of course performance metrics. It tracks user engagement with various training components, highlighting passing rates, progress percentages, and average attempts across learning modules, SCORM packages, and quizzes.

 

How it works

Users can filter the data by catalog, course, course type, training status, and publication date. The page updates dynamically based on selected filters, providing a tailored view of training progress and learner performance.

 

Visualizations and insights

Visualizations

The Course Attempts Overview Page includes a variety of visualizations designed to provide in-depth insights into skill distribution and status.

Course Passing Status. Donut chart showing the percentage of courses by completion status (Completed, In Progress, Not Started).

Learning Module Passing Status. Visualizing completion rates for learning modules.

SCORM Passing Status. Displays percentage of passing statues for SCORMs.

Quiz Passing Status. Displays the percentage of quiz completion statuses.

Course Passing Status by Department. Highlights departmental performance in course completions.

Average Progress Percent by Learning Module. Shows progress percentages across different learning modules.

Average Score by SCORM and Quiz. Tracks average scores achieved in SCORM packages and quizzes.

Average Attempts by Learning Module, SCORM, and Quiz. Visualizes the average number of attempts.

 

Insights

The insights derived from the Course Attempts Overview Page are critical for optimizing training programs and boosting learner engagement.

Identify Departmental Trends. By comparing completion rates across departments, organizations can determine which teams are excelling and which may need additional training resources or motivational strategies.

Recognize High-Engagement Content. The page highlights learning modules and SCORM packages with the highest levels of user engagement. This information allows training teams to replicate successful content structures and improve underperforming modules.

Assess Assessment Effectiveness. Tracking quiz and SCORM performance data helps identify how well learners are absorbing course material. Low scores or multiple attempts may indicate that certain assessments need to be revised for clarity or better alignment with learning objectives.

Optimize Training Strategies. By understanding average attempts and progress percentages, stakeholders can adjust training timelines, provide additional resources, or introduce new engagement strategies to improve completion rates and overall learner satisfaction.

 

Associated Content Page

 

Overview

The Associated Content Page provides a comprehensive view of the relationship between courses and their associated training components, including learning modules, SCORM packages, and quizzes. By showcasing these relationships, this page helps organizations understand the training components that contribute to overall course performance.

 

How it works

The Associated Content Page features a dynamic and interactive data table, complemented by intuitive filters that allow users to refine the displayed data according to specific needs. Users can apply filters based on parameters such as catalog, training type, training status, retake enabled settings, mandatory status, publishing status and course last modified date. As users adjust these filters, the data table and associated visualizations update instantly, providing tailored insights into how content supports learner engagement and course outcomes.

 

Visualizations and insights

Visualizations

The page includes key visualizations that deliver actionable insights into the structure and effectiveness of training content.

Metrics Summary. A set of summary tiles that display the total number of courses, learning modules, SCORM packages, and quizzes within the dataset. These at-a-glance figures provide a quick understanding of the scope and scale of training content available across the organization.

Associated Content Data Table. The central feature of the page, this table lists all available courses alongside their corresponding learning modules, SCORMs, and quizzes. By providing a detailed breakdown of each course’s content, this visualization allows stakeholders to evaluate the comprehensiveness of training programs. It also supports quick identification of content gaps, ensuring that all necessary components are included to maximize learner engagement and knowledge retention.

 

Insights

The insights derived from the Associated Content Page are crucial for enhancing training effectiveness and learner satisfaction.

Identify Courses with Extensive Content Coverage. Courses linked to a high number of learning modules, SCORMs, and quizzes are likely to provide more comprehensive learning experiences.

Determine High-Impact Training Components. By analyzing engagement metrics, organizations can identify which learning modules, SCORM packages, or quizzes contribute most significantly to learner success. This understanding allows for targeted improvements and the strategic development of new content that mirrors successful training components.

Optimize Content Distribution. Understanding how content is distributed across various training types enables organizations to balance their content strategies, ensuring that all training formats are adequately supported with relevant materials.

Close Content Gaps. By visualizing the relationship between courses and associated content, stakeholders can quickly identify courses lacking critical components. Addressing these gaps ensures that training programs provide a well-rounded and effective learning experience.

 

Learning Module Attempt Page

 

Overview

The Learning Module Attempts Page offers a detailed analysis of user interactions with learning modules, providing key metrics such as completion rates, progress percentages, number of attempts, and average time spent per module. This page is essential for understanding learner engagement levels and identifying areas where additional support or content modifications might be needed. By examining the data presented on this page, organizations can ensure that their learning modules are both effective and engaging, thereby supporting the overall success of training programs.

 

How it works

The page is designed with dynamic filtering capabilities that allow users to refine the displayed data according to specific analysis needs. Filters include options for catalog, course, learning module title, user, status (such as completed or in progress), and training status. When filters are applied, all visualizations on the page update instantly, providing real-time insights tailored to the selected criteria.

 

Visualizations and insights

Visualizations

The Learning Module Attempts Page includes several key visualizations designed to provide a comprehensive understanding of learner interactions with learning modules.

Metrics Summary. Displays essential summary statistics, including the total number of learning modules, overall completion rates, and average progress percentages. These metrics provide a quick snapshot of how effectively users are engaging with the available learning modules.

Learning Module Data Table. This detailed table lists each learning module along with critical metrics such as user progress percentages, number of attempts per user, and average time spent on each module. The data table allows for easy identification of modules that may require additional attention, such as those with lower completion rates or higher average attempt counts.

 

Insights

Insights gained from the Learning Module Attempts Page are essential for refining training strategies and improving learner outcomes.

Monitor User Engagement. By tracking the number of attempts and time spent on each module, organizations can identify which modules capture learner attention and which might be too challenging or insufficiently engaging.

Identify Low Completion Rates. Modules with low completion rates can be flagged for potential updates or additional support resources, ensuring that learners have the tools they need to succeed.

Assess Content Effectiveness. Comparing average progress percentages and completion rates across modules allows stakeholders to determine which modules are most effective and engaging.

Optimize Training Content. Insights into time spent and attempts required help training designers streamline content, ensuring it is accessible and aligned with learner needs.

 

SCORM Attempts Page

 

Overview

The SCORM Attempts Page provides a comprehensive view of SCORM package performance within the organization. It tracks critical metrics such as completion statuses, passing rates, total attempts, and average scores. This page is essential for understanding learner engagement with SCORM content and evaluating the effectiveness of these training materials. By providing detailed performance data, the SCORM Attempts Page helps organizations pinpoint successful SCORM packages and identify those that may require updates or additional support.

 

How it works

Users can refine the displayed data through dynamic filters, including catalog, course, SCORM title, user, completion status, and passing status. These filters ensure that users can tailor their analysis to specific needs, such as reviewing performance within a particular course or identifying learners who may require additional support. Once filters are applied, all visualizations on the page update instantly to reflect the selected criteria.

 

Visualizations and insights

Visualizations

The SCORM Attempts Page features several key visualizations designed to provide a complete understanding of SCORM performance.

Metrics Summary. Presents high-level performance indicators such as the total number of SCORM packages, average scores, total attempts, average attempts per SCORM, and average duration. This summary offers a quick assessment of how SCORM packages are performing across the organization.

SCORM Data Table. This comprehensive table lists every SCORM package along with essential details, including user-specific completion statuses, total attempts, scores, and average duration. This visualization enables stakeholders to track user progress, identify learning challenges, and assess overall SCORM engagement.

 

Insights

The insights derived from the SCORM Attempts Page are crucial for optimizing SCORM content and improving training outcomes.

Identify Challenging SCORM Packages. By analyzing SCORMs with high failure rates or elevated average attempts, organizations can pinpoint content that may be too complex or unclear. These insights support content revisions and additional learner support strategies.

Evaluate SCORM Effectiveness. Score trends across SCORM packages help organizations determine which training materials are most effective in conveying key concepts and which may require updates.

Monitor Learner Engagement. Completion trends and attempt patterns highlight how learners interact with SCORM content over time. Recognizing these patterns allows organizations to time training initiatives effectively and ensure continuous learner engagement.

Optimize Training Content. Insights into average duration and passing rates enable organizations to adjust SCORM content for better learning experiences, ensuring that training remains relevant, engaging, and efficient.

 

Quiz Attempts Page

 

Overview

The Quiz Attempts Page provides a comprehensive view of quiz performance across all courses within the organization. This page delivers key insights into learner engagement with assessments by tracking passing rates, average scores, completion statuses, and the number of attempts per quiz. By analyzing these metrics, stakeholders can evaluate the effectiveness of quiz content, identify areas for improvement, and ensure that assessments are aligned with learning objectives.

 

How it works

Users can customize their view by applying various filters such as catalog, course, quiz title, user, status, and course type. When these filters are applied, the data table and associated metrics automatically update to reflect the selected criteria. This dynamic interactivity allows for tailored analysis, making it easy to focus on specific user groups, courses, or assessment components. The filtered data provides actionable insights into learner performance, enabling data-driven decisions for refining training programs and enhancing learner success rates.

 

Visualizations and insights

Visualizations

The Quiz Attempts Page includes several detailed visualizations that provide critical insights into quiz performance.

Metrics Summary. Displays essential performance indicators, including Total Quizzes, Passed Quizzes, Failed Quizzes, In Progress Quizzes, Average Score, Average Points, Total Quiz Attempts, Average Quiz Attempts, Average Duration.

Quiz Attempts Data Table. A comprehensive table listing all quizzes, including user details such as name, status (passed, failed, or in progress), score percentages, number of attempts, and average duration per attempt. This table allows stakeholders to track individual learner performance and identify patterns in quiz outcomes.

 

Insights

The insights gained from the Quiz Attempts Page are essential for understanding the effectiveness of assessments and learner readiness.

Identify Quizzes with the Highest Pass/Fail Ratios. Analyzing the ratio of passes to fails helps pinpoint quizzes that may be too difficult or potentially confusing. Such insights allow training managers to revisit quiz content, ensuring that assessments accurately reflect learning objectives without being unnecessarily challenging.

Recognize Quizzes Requiring Content Revisions. Quizzes that consistently show low scores or high numbers of attempts may need content revisions. This could involve clarifying questions, adjusting scoring criteria, or aligning quiz topics more closely with course materials.

Evaluate Learner Preparedness. High average scores and low attempt counts generally indicate that learners are well-prepared. Conversely, low scores or multiple attempts suggest areas where additional training or resources might be necessary.

Monitor Quiz Engagement Trends. By tracking how often quizzes are attempted and how long learners spend on them, organizations can gain insights into learner engagement levels and the perceived difficulty of assessments.