Virtual Reality provides new innovative solutions to tackle major challenges in education. An economic challenge for educational institutions and society is for instance that institutions are facing economic pressure as they are looking to increase learning outcomes and motivation by incorporating new digital and interactive technologies to their portfolio of education materials. For instance, the requirement to invest in high cost laboratory equipment is a prohibiting factor to education institutions’ continued growth and their ability to reduce the gap between academic studies and career development. A large number of institutions are removing laboratory experiments when faced with budget limitations, and this has a severe impact on student skill development, and leads to graduates lacking essential skills for work in their intended industries. This challenge is addressed with innovative Virtual Reality solutions by delivering high quality laboratory simulations to students, shown to work as intended by 3rd party researchers (Bonde et al. Nature Biotechnology, 2014). There is a vast untapped market potential in offering solutions that provides a significant financial return on investment while increasing education quality, which can be achieved through innovative and disruptive use of technology, in nearly any educational topic. We present a new platform, allowing anyone to easily build engaging VR education content.

1. Empowering the Next Generation of
Scientists to Change the World
Michael B. Jensen, CTO and Founder

2. Traditional Science Education is Inefficient
Low Learning Effectiveness
and Motivation
High Costs
Source: Moskovitz, SCIENCE, 2011
+

3. Flight Simulators are Proven Effective and Low Cost
Large Cost Savings
Faster Learning
Source: Hays et al. Psychology 4, 63–74 (1992)

4. Labster is a Virtual Lab Simulator for Education

6. • 25 employees
• Globally leading virtual lab simulator
• Received 3m USD in R&D grants in 2014
Labster is a Fast Growing Virtual Learning Company

7. Labster has Partnered with the Best

8. EDUCATION SECTOR AND RESEARCH

9. Publishers Focus on Small Incremental Innovation

10. We Must Ask Ourselves:
How Can We Leverage the Full Potential of Technology?

11. Our Mission
Leverage technology to create scalable
science education software with increased
learning outcomes and motivation

12. Scientific Study Shows 76% Increased Learning Effectiveness
* Statistically significant (p<0.001)

13. PRODUCT INSIGHTS

14. A Fully Immersive Learning Experience
Engaging realistic
scenarios
Expensive equipment
fully simulated
Engaging guided
3D animations

15. Adaptive Student Outcomes Based on Realistic Simulations
2. Mathematical
Simulation
4. Adapt1. Input 3. Individual
Output

16. Virtual Reality Offers New
Opportunities for Education

17. Oculus Rift Demo Video

18. Emotion Recognition to Improve Adaptive Algorithms

19. OUR MOTIVATION

23. Our Vision
Empowering the
next generation of scientists
to change the world

24. We Are Ready
To deliver Ivy League laboratories and
science education to
millions of students globally

25. Empowering the Next Generation of
Scientists to Change the World
Mads T. Bonde, CEO and Founder
Michael B. Jensen, CTO and Founder

26. THANK YOU

27. BACKUP

28. Surveys on Motivation
86% of users say it is more interesting than
ordinary excercises
97% of users say
it’s exciting to use Labster
Responses from 220 students from Stanford University OHS, 2 Boston High Schools and DTU

29. Labster Significantly Increases Learning Outcomes

30. Labster Significantly Increases Learning Outcomes

31. Event

32. $600,000 Next-Gen DNA Sequencer

33. New Innovative Cancer Labs through MIT & Labster Partnership

35. Adaptive Student Outcomes Based on Realistic Simulations
Step 2 - Simulation
Simulation engines process
mathematical simulations
Step 4 – Adapt
Adaptive quiz questions,
theory and student
feedback is given based
on results and adaptive
algorithms
Step 1 - Input
Students interact
with virtual machines
Step 3 - Output
Students receive
individual results based
on their input
parameters.