Evaluation is a vital task of an eLearning course or any program that aims at continuous improvement. Evaluation of your eLearning program is the final step in the Addie model. In this step, the effectiveness of the training program in accomplishing the goal is measured
Evaluation enables us to:
- Assess if the instructional and development objectives are met
- Determine the quality of the eLearning
- Understand the pros and cons of the eLearning program
- Make improvements to ensure that learning strategies are effective
Donald Kirkpatrick’s four-level model of evaluation has become a classic model in the industry. These levels can be applied to eLearning or any other forms of training.
|Level||Meaning||Questions to ask||Evaluating Method|
|Reactions||Evaluate the experience of the learners after taking the course||Feedback from the participants through a smile sheets or happy sheets|
|Learning outcomes||Measure of the increase in knowledge of the learners after taking up the course||Did the participants learn what they were supposed to learn and how much?||Assessments to measure knowledge|
(true/ false, agree/ disagree)
|Behavioral Changes||Evaluate the change in the behavior of the learners after taking the course||Did they change their on-the-job behavior?|
|Results for the organization||Evaluate the change in the organization due to the effect of the course on their employees||Did their knowledge and behavior positively affect the organization?||See the production, quality, costs, turnover|
This evaluation is applicable to different types of training (adapted from Kruse Kevin work) such as:
- Safety training: Measure reduction in number or severity of accidents
- Quality training: Measure a reduction in number of defects
- Management training: Measure increase in engagement levels of direct-reports
- Technical training: Measure reduction in calls to the help desk; improved use of software or systems
- Sales training: Measure change in sales volume, customer retention etc.
Evaluating an eLearning course helps to see which component is working and what needs to be removed to make the learning effective.