Artificial Intelligence (AI) and Machine Learning (ML)
The excitement around AI and ML grows as they are applied to solve more complex problems. The potential opportunities for teaching, training, and learning are bounded only by our imagination, but the implications of the expected data collection and consolidation cannot be ignored. How do we harness the power of AI to help people learn more effectively, while maintaining a high standard for data privacy?
Natural Language Processing/Understanding (NLP/NLU)
This subset of machine learning has many specific possibilities — from allowing people to use their voice to interact with learning platforms or enabling virtual agents (or chatbots) to help speed up workflows, to saving time on assessments and providing insight into the work being assessed. How can we use the insight NLP generates to make learning better?