Assessments are an important part of training, not only it help decides whether the training objectives were met but also track the learner’s progress. So can one say that successfully completing an online course and then its online assessment can assure their success? Can scoring high in assessments mean that we have gained in depth knowledge of that subject? How can one judge the effectiveness of any elearning training program?
Learning analytics here can help answer all these questions. learning analytics is the collective measurement, analysis and reporting of data about learners with only objective of understanding and optimizing learning. By tracking the learner’s online activity in a LMS and further applying the analytics to it can help identify new learning patterns and improve the learning potential of the learner. Such analytics can not only benefit the learner but can also increases the efficiency of an online course in LMS.
Online assessment can be broadly divided into two categories
- Formative :- Formative assessment are used to keep track of the learner’s performance after each learning point that is after every unit or topic. These assessment track user’s progress and helps in feedback. Formative assessment’s main purpose is to identify the areas of improvement for the learner.
- Summative :- Summative assessment are included at the end of the eLearning course. These are designed such to examine the skillfulness of the learner. After this assessment a specific grade, rank or marks are assigned to the learner. Summative assessments main purpose is to evaluate the learners level of understanding at the end of the course.
Formative assessment with learning analytics
Since formative assessment focuses more on learner’s improvement, they are allowed extra attempts for every incorrect question. Data such as number of attempts, responses during each attempt, time taken to answer every question, most popular response etc regarding each question is captured for analysis. later a personalized feedback report is generated identifying their weak points. Such assessments can reveal a lot about the learner. Mining the learner’s data can disclose distinct learning and performance patterns. Not only this helps the learner but also helps identifying the quality of the course content. For instance if many users are performing poorly then this raises flag, evaluation of content should be done to see if the assessment measures up to the content covered in that specific unit.
Summative assessment with learning analytics
Based on the previously captured data from users past assessments, predictive analytics can be implemented. Based on the distinct patterns found after formative assessment Predictions can be made about the learner’s performance even before they attempt the summative or final assessment. Such predictions help developing an adaptive assessment test that surpasses the general standard patterns. These assessment methods offer high level of accuracy and insights in assessing learners.
Valuable insights from learning analytics can now be used to increase the potential reach of your e-learning course and make your LMS an instant hit.