Content was never king: designing elearning solutions for results
Many organisations tend to begin an elearning design project leading with their content needs; desired outcomes are merely an afterthought, if they're a thought at all.
At Kineo, we take a “measure twice, cut once” approach – defining the learning approach and strategy only after we've spent time identifying the organisational and business results we’re seeking. Once we're clear on the target, we then undertake a thoughtful content and technology design process to ensure the solution will achieve the behavioural and business goals your organisation is after.
Unfortunately, whether or not a solution design is successful is often left to chance. With so much on the line, who wants to take that gamble?
In this webinar, Cammy Bean and Zsolt Olah, two well-known learning industry speakers and authors, will share how Kineo helps global brands like BP, DropBox, Credit Suisse, and Levi’s create world-class learning solutions and curriculums that precisely meet the needs of their learners and ensures they achieve both organisational and business objectives.
They will also share insights into Kineo’s proprietary design and development process including steps, activities, and tools Kineo uses to design curriculums that:
• Have clear goals tied to well-articulated business problems
• Meet the needs of target learners
• Utilise the most effective and efficient set of experiences to meet those goals.
Cammy has been collaborating with organizations to design online learning programs since 1996. An active speaker and blogger, Cammy gets fired up about instructional design, avoiding the trap of clicky-clicky bling-bling, and ways to use technology to create real behavior change.
Zsolt Olah is a creative learning consultant at Kineo with over 15 years of experience in the learning and development space. His passion, combining innovative learning and performance technology with human-centered design, goes back to his thesis project, where he built an artificial neural-network using machine learning.