This is the second part of the speech delivered by Mariam Shodeinde at The New Technologies seminar in Geneva on January 19, 2018 to an audience consisting representatives from over leading 150 NGO’s in the world.
Whilst personalized learning may be the more common promised land vehicle of education, Adaptive learning really is using the full genius of Artificial intelligence. Adaptive picks up where personalized learning ends.
Personalised learning is how we tailor a learning experience to an individual’s learning style, interests and experiences, it is a way to extend the reach and efforts of teachers and educators of large classrooms of diverse students. Learning what they want, where they want and how they want it, and this for the most part is done in a digital environment, as it is the more scalable approach.
In Claned for example, our web application creates a personal learning space for each learner. Applying the principles of artificial intelligence and learning research, revealing what factors impact individual learning. The product concept is based on years of academic research, and has been developed in collaboration with leading educational institutions.
Claned is designed to capture data on every interaction learners make with the system. Interactions occur when learners read, write, collaborate, organize and plan – everything that learners do. This results in a comprehensive insight that demonstrates the learners’ study performance, learning orientation, motivation, emotion and stress levels. This information is returned to the teacher in a easy to understand visual dashboard, where they can measure it against, expected learning outcome or objectives and adapt accordingly, then the loop repeats.
Adaptive learning tools on the other hand, collect specific information about individual students’ behaviors by tracking how they answer questions. The tool then responds to each student by changing the learning experience to better suit that person’s needs, based on their unique and specific behaviors and answers.
This kind of massive computation can be possible with Machine learning and algorithms, that, with minimum supervision, begin to adapt to each individual learners. When the learning platform collects enough data about the students it can adjust the whole learning process semi-automatically or completely to carry the learner through to their learning goal.
What we are now seeing when Claned is used in schools, universities and online courses, is increased motivation, reduced drop-outs and improvement in student retention. Claned’s collaborative features allow you to quickly identify thought leaders, while building a vibrant online student community seamlessly inside course materials. Allowing the teacher to track how effective each learning content is, showing in realtime what the students find valuable and stimulating.
In addition, different corporations and NGOs are using Claned to train employees individually and students are using Claned to create their own collaborative learning areas, inviting their friends and classmate.
We are still in the early days of becoming a fully Adaptive platform, investing quite heavily in R&D to implement the automations required to further develop our Personalised Learning Path feature to a fully automated Adaptive learning path.
(The two other parts of this speech are available on this blog page.)
The main themes of the New Technologies seminar were #education, #cybersecurity, #climatechange and #peaceprocess. The seminar was organised by the Permanent Mission of Finland to UN in Geneva and Claned Group.
Read more on The New Technologies seminar from Finland Mission news release.