The Semantic Analysis add-on for Learning Locker® implements a proprietary Social Learning Intelligence algorithm that allows you to judge the efficacy of online Social Learning interactions.
The data is then brought to life through visualizations and dashboards which help you measure the effectiveness of Social Learning.
Our state-of-the-art Social Intelligence algorithm determines sentiment and meaning behind learner contributions.
Semantic Analysis goes beyond ‘tick-box’ metrics to gauge the feeling behind comment contributions, the most effective way of judging how learning is being received in large-scale courses.
Identify those who are providing quality contributions to your training initiatives – and those who aren’t.
Record engagement stats from text contributions anywhere, directly into Learning Locker®.
Visualize your sentiment data in simple and clear dashboards, identifying exceptional users, top performers, active and passive learners with ease.
See how our Social Learning initiatives are encouraging knowledge sharing and peer-to-peer learning in your organization.
Track mentions of organizational situations, practice processes or issues to assess how your workforce connect the dots from theory to practice.
Recognize positive responses and adapt your learning approach based on what works and what doesn’t, offering more of the content you know stimulates the best discussion.
Detect previously intangible indicators like personal encouragement, willingness to help and diversity of opinions to determine where interpersonal relationships are forming.
Compare the quality of learner social contributions against more traditional metrics to clearly demonstrate which learners are understanding the content VS those who might need more assistance.
Assess contribution quality at a global scale and locate those offering the most valuable input, wherever they are.
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