As technology has continued to advance, engineering methods are increasingly needed for learning and development initiatives that depend upon data science, computer science, and learning science to structure solutions and to measure outcomes and results. Learning engineering represents a new amalgamated discipline that applies engineering methodologies to develop learning technologies and infrastructures to better support learners and learning. The need for learning engineering is becoming more apparent, and the powerful combination of this field with the work of instructional design has the potential to significantly advance learning and its impact on organizations. For this partnership to work well, we need to understand what competencies instructional designers need to have in this new world, as well as the competencies that learning engineers bring to the table .

In this session you’ll explore the ways in which instructional designers of the future can better prepare to collaborate with learning engineers assigned to enterprise learning initiatives. You’ll start by investigating frameworks that show the taxonomies of skills expected of instructional designers working in a variety of industries. These expectations will come from a review of professional research literature, professional practice literature, professional association documentation, and job descriptions. You’ll then dive deeper into the different subgroups of skills associated with learning design and how they can be leveraged in instructional design and learning engineering. You’ll discover how expectations for learning designers and learning engineers differ across market sectors and get guidance for anticipating how to prepare for future professional development.

In this session, you will learn:

• That ID is evolving and how the ID research community is responding to new demands on the field
• The impact that learning engineering is likely to have on instructional designers in the future
• That learning engineering and learning design, working together, offers a powerful combination of future skills
• That ID professionals need to be aware of scientific developments in ed tech
• The combination of scientific methods and creative problem-solving will leverage the art and science of human learning and performance improvement.   

Audience:

Designers, developers, senior leaders (directors, VP, CLO, executive, etc.)

Technology discussed in this session:

Data analytics, X realities, machine learning, deep learning, AI