David Nolen keynotes on how developers learn as seen in a number of diverse examples drawn from objected oriented user interface programming to constraint logic programming.
Paolo Perrotta discusses the difficulties encountered while learning a new and quite different programming language, in his case Clojure, comparing it with Java and Ruby.
Ken Kousen presents a variety of small but non-trivial examples of Groovy in action, using techniques ranging from closures to parsers and slurpers to metaprogramming and AST transformations.
Ken Kousen teaches the fundamentals of Grails through examples: domain classes, controllers, transactional services, producing XML and JSON data, Ajax, unit and integration testing, plugins.
Joanna Zweig leads a workshop for practicing Cooperative Inquiry, a group learning technique meant to provide answers to complex questions based on group’s wisdom and knowledge.
Matt Barcomb discusses “amplifying learning”, focusing on setting up learning environments and common organizational pitfalls.
Joanna Zweig and César Idrovo discuss Discovery Curves - a model to chart a team’s ability to learn-, and a group improvement process using past experiences and identifying common characteristics.
Ruth Lennon discusses the challenges, the benefits and the lessons learned transitioning from a traditional education form to a BYOD in the cloud-based one.
Alex Adamopoulos emphasizes the need for hands-on learning, a method that is faster, cheaper and produces better results than taking some training or certification courses.
Chris Granger discusses the need for enhancing the learning tools starting from his own experience watching through a mirror people trying to solve problems at Microsoft.
Chris Matts discusses ways of learning - Kolb’s Circle of Learning, Meme Wombling, Hangover – with a focus on the cycle starting from Unconscious Incompetence to Conscious Competence.
Benjamin Mitchell believes that Kanban risks to become a fad if it does not cover gaps related to experiencing embarrassment and threat, proposing a solution based on the double-loop learning model.