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E-Learning->Assessment
Assessment is a key aspect of education. It helps the learners to prove their understanding; and you to assess the learner's expertise on a subject and certify them through an automated assessment process. Based on these evaluations you can also measure training needs and identify improvement areas to be addressed in the future.
 

Instructors can pick and choose from a vast array of questions types; Multiple Choice Questions, Essay Style Questions, Fill in the Blanks, Match the Following, Drag-Drop, Hot-Spot etc. Features like Randomize Questions and Adaptive Testing enable the instructor to test learner knowledge more effectively. The instructor can also specify time limits and/or the number of attempts that can be made for the tests. All the test scores are stored for generating learner progress reports.

The effectiveness of training can be evaluated by assessments at the beginning, during, and at the end of the training. Based on the phase of training in which assessments take place, they are classified as formative or summative. Formative assessments are simple checks before or during training and are not scored. They serve as a means for the students to recall and refresh matter taught previously. Summative assessments, also called post-assessments, occur at the end of training, and are scored.

Training is most effective if students are assessed before training and the complexity level of the subject being taught is customized based on the results. Based on this functionality, assessments can be classified as standard or adaptive. Unlike a standard assessment, the difficulty levels and type of questions in an adaptive assessment varies according to the learner’s performance in the pre-test or in previous questions in the same assessment.

NETSOFT creates assessments across three levels of complexity—simple, medium, and hard—on subjects such as financial management, marketing management, management information systems, project management, human resource management, organizational behavior, and strategic management, among others.

The learners start off with a question of medium complexity. If they get it right, they encounter a tougher question, and they make a mistake, the system poses an easy question. The engine randomizes the questions so that the student answers different questions each time until the database is exhausted.

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