This document discusses emerging technologies in STEM education from 2013 to 2018 according to an NMC Horizon Project report. It summarizes that learning analytics uses student data to improve pedagogy and identify at-risk students, while massive open online courses are proliferating in STEM fields but need to evolve into open communities. It also introduces connectivism as a learning model focused on social interactions where individuals contribute their knowledge and experiences.

1. An NMC Horizon Project
The Technology Outlook for
STEM+ Education 2013-2018.
Science, Technology,
Engineering, & Math Education
(STEM).

2. NMC is a product of collaboration between
innovation organizations.
The group engages in a dialog and
discussions about potential applications of
emerging technologies.

4. Learning Analytics
Massive Open Online Courses

5. Learning analytics research uses data analysis
to inform decisions made on every tier of the
educational system.
Massive open online courses are proliferating,
especially in STEM Disciplines

6. Analytics leverages student data
• To build better pedagogies
• Target at-risk student
populations
• Assess whether programs
designed to improve retention
have been effective

7. MOOCs
•
Need to be rethought as open
ongoing connectivist communities
• For open teaching and open research
Connectivism
• Refers to a model of learning

8. • Where Social and Cultural
interactions are the focus
• Individuals bring their own personal
work experience and knowledge to
the environment
• To continuously expand the
ecosystem of learning.

9. Open teaching and research are new
concepts
That could leverage this notion of
crowdsourcing and collective
intelligence
To build new pedagogies and practices

10. References
The Technology Outlook for STEM+
Education 2013-2018 (2013). An NMC
Horizon Project Sector Analysis. The New
Media Consortium. Retrieved October 19,
2013 From http://www.nmc.org/horizonproject/horizon-reports