Proof That e-Learning Works

Sound instructional design is a guiding principle in all of our courses. By combining hands-on exercises, simulations and relevant graphics, we create engaging and effective courses.

Although the tests before and after are not mandatory, many learners take them. Many take the pre-test because the system creates a custom learning path based on the test results. Learners take the post-test to get a final score to prove they have mastered the subject. Taking the pre-test does not help in taking the post-test, because the questions are randomly generated each time.

Hundreds of thousands of events (courses and tests) take place each year. But the most meaningful data comes from triple events -where learners take the pre-test, complete the course and take the post-test.

All courses have a corresponding skills assessment test based on the learning objectives of the course. Learners can simply take the course without taking any tests (Figure 1, A), or they can take a skills assessment test before and after the course (Figure 1, B). The second example (B) is known as a ‘triple event.’

The Proof

Because learners take the courses and tests on our servers, it is possible to analyze events across the entire population. We analyzes test results on a regular basis to determine how effective the courses are and how to improve them.

The table on this page shows the results for many of the important technical and end-user courses. The first column is the name of the course topic. Next is the number of ‘triple events’ that have taken place. This is followed by the average score before and after the course, along with the absolute point gain and percentage gain.

Results for certified courses (marked �) such as Microsoft Office are particularly meaningful, because the vendor sets the learning objectives that are tested.

The total number of learners taking each course in conjunction with the associated tests is significant and represents a statistically valid sample in most cases. The overall average score across all courses for the pre-test (for all triple events) was 62.6%; the average post-test score 78.8%. This results in an average absolute point gain of 16.2 and a percentage gain of 26%.

Proof That e-Learning Works

Sound instructional design is a guiding principle in all of our courses. By combining hands-on exercises, simulations and relevant graphics, we create engaging and effective courses.

Although the tests before and after are not mandatory, many learners take them. Many take the pre-test because the system creates a custom learning path based on the test results. Learners take the post-test to get a final score to prove they have mastered the subject. Taking the pre-test does not help in taking the post-test, because the questions are randomly generated each time.

Hundreds of thousands of events (courses and tests) take place each year. But the most meaningful data comes from triple events -where learners take the pre-test, complete the course and take the post-test.

All courses have a corresponding skills assessment test based on the learning objectives of the course. Learners can simply take the course without taking any tests (Figure 1, A), or they can take a skills assessment test before and after the course (Figure 1, B). The second example (B) is known as a ‘triple event.’

The Proof

Because learners take the courses and tests on our servers, it is possible to analyze events across the entire population. We analyzes test results on a regular basis to determine how effective the courses are and how to improve them.

The table on this page shows the results for many of the important technical and end-user courses. The first column is the name of the course topic. Next is the number of ‘triple events’ that have taken place. This is followed by the average score before and after the course, along with the absolute point gain and percentage gain.

Results for certified courses (marked �) such as Microsoft Office are particularly meaningful, because the vendor sets the learning objectives that are tested.

The total number of learners taking each course in conjunction with the associated tests is significant and represents a statistically valid sample in most cases. The overall average score across all courses for the pre-test (for all triple events) was 62.6%; the average post-test score 78.8%. This results in an average absolute point gain of 16.2 and a percentage gain of 26%.

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