This document provides an overview of emerging digital technologies including 3D spaces, multitouch screens, crowdsourcing, and the concepts behind Web 3.0. It describes Web 3.0 as being powered by open technologies, semantic data, and distributed databases to create an intelligent web. An example is given of how a veterinarian could use social and recommendation systems across multiple applications and devices to learn, share information, and manage goals more effectively. Artificial intelligence is also discussed as powering an intelligent web through collecting data, reasoning, and taking appropriate actions.
18. SocialLearn : Scenario Character: Ellen is a professional vet, living in Wales. She is married, with a four year old son and is a fan of 60s sci-fi movies and is a keen skier. Scenario: Ellen is called out to look at a sick Pot Bellied Pig. She is unsure of the symptoms, but thinks she has a diagnosis. She uses her mobile device to put out a call for help on her learner network. This is built on top of Twitter and allows her to filter tweets to groups, e.g. ‘vets’, ‘parents’, ‘friends’, etc. Dan, from Sussex is an expert in Pot Bellied pigs and confirms her diagnosis, sending her a link to a resource. She saves this to her study list in her learner profile, with the tags ‘vet’, ‘pigs’ it is automatically added to her To Do list in Remember the Milk, so she will study it later.
19. Part 2 Her current goals/interests are “ To learn snowboarding”, “60s Sci-Fi movies”, “Blue Tongue virus”, “Teaching children French” “Harry Potter novels”. Content related to each of these is found using data-mining, and social recommendations, building on 43Things. Recommended resources are then attached to each goal, with a score, and a category, e.g. ‘video’, ‘book’, ‘person’, ‘course’, etc