Presentation at the EDUCON 2018 conference in Spain, April 2018, about the Open Educational Resources approach used in the European Projects IN-CLOUD, IoT4SMEs and IoE-EQ regarding the needs of the Small and Medium Enterprises to adapt heir skills and competences to new business trends and technology approaches. Authors present the approach from Uninettuno and UNED

1. OERs for improving European SMEs
competitiveness: from video-
lectures to remote labs
Prof. Dr. Manuel Castro, http://www.slideshare.net/mmmcastro/
mcastro@ieec.uned.es
Electronics Technology Professor, UNED, Madrid, Spain
IEEE Fellow, Emeritus President, IEEE Education Society

2. Agenda
1. Introduction
2. OERs to be used in profesional qualifications
1. Video lectures
2. Interviews and showcases
3. Webinars
4. IoT demonstrators
5. IoE demonstrators

3. Lack of professionals in Cloud
 1.7 million cloud computing jobs unoccupied
 Estimation of 7 million cloud-related vacancies
worldwide
According to the analyst firm IDC3

4. IoT
 European Committee estimates that the market value of
the IoT in the EU will exceed one trillion euros in 2020
 in 2014 just 300,000 developers contributed to the IoT,
4.5 million developers by 2020 are expected, reflecting
a 57% compound annual growth rate and a massive
market opportunity

5. IoE
 Particular case of IoT: Energy-oriented
 IoT-based smart sensors assess performance and provide
real-time analytics to stakeholders. Interoperability
between intelligent devices may lead to automatic
optimization of consumption and increased efficiency of
the networks
 Integration of energy systems, communication and
electronic systems and web services
 Main limits to the diffusion of IoE seems to be the lack
of professionals in the sector and the low level of
knowledge of the technology

6. Aims of our projects
1. Raising awareness among European Companies, Public
Administrations and Universities regarding how new
technologies can boost economic growth and
innovation
2. Creating VET qualifications, based on sector analysis
3. Training staff to introduce and manage new
technologies and services inside their organizations

7. Design methodology
1. Design of assessment instruments:
 questionnaires submitted by Survey Monkey
 interviews of stakeholders and existing sector studies
 publications and reports at national and international
levels
2. Needs’ analysis and labor market analysis
3. Certifications design
4. Courses development
 Consisting of different types of OERs

8. Possible OERs to include in courses
Videolectures Interviews Showcases
Webinars Demonstrators

9. Videolectures
 Video lectures (MOOC-like) for the training courses
 6 languages:

10. Interviews
 Experts, ICT specialists, developers, managers of ICT
infrastructures, researchers, managers of companies,
experts in technological innovation, creators of
innovative start-ups are the potential interviewed
people.
Alberto Ruiz
(Apps Editor, Spain)
Prof. Pavlidou Fotini-Niovi
(Aristotle University of Thessaloniki,Greece)

11. Showcases
 Presents practical examples
of introduction of
technology into companies,
innovations or best practices
 Present the characteristics
of target, the reasons why it
decided to adopt the
technologies in its
infrastructure and an
analysis of the obtained
benefits

12. Webinars
 The development of a series of webinars will be realized
gathering the views and experience of different experts on
IoE technology, companies and policy makers.
 Aims:
 Start to create a “community”
of people interested to the topics
 Create expectations towards
the next training courses

13. Demonstrators
 Implementation of highly innovative experiments of IoT
technologies
 Students can make practical experiences in controlled
situations but using real equipment or platforms
 This learning-by-doing methodology is fundamental
when dealing with a topic such as the ones studied in
these projects, where practical skills are essential
 Virtual or remote labs

14. IoT Demonstrators. Examples:
 Smart Industry
 small-scale industrial plant, equipped
foot-based sensors, actuators and
controllers
 Smart Home
 domestic environment equipped of
different IoT based controllers and
sensors. E.g. weather station

15. IoT Demonstrators. Examples:
 Smart monitoring
 IoT-based controllers, equipped of
different kind of sensors and actuators,
adopted to monitor an area and
perform specific actions
 Smart Telecommunications
 including towers interconnected
provided of sensors and controllers
 Smart Energy systems
 distributed renewable sources of energy
and load, integrated with IoT-based
sensors and controllers

16. Existing
demonstrators
found to be
reused

17. Some of the UNED
demonstrators developed

18. UNED IoT demo app + Ubidots
1. Register in Ubidots
2. Associate Ubidots
account to app
3. Send sensor data
every time the user
shakes the phone
1 Demonstrator setup 2 Operation
4. Data visualization
in real time
User’s
phone
User’s
computer IoT
platform

19. UNED IoT demo app + Ubidots
3. Check data sent in Ubidots dashboard 4 Create event to trigger alerts
Each point is a phone shake

20. UNED IoT demo app + Ubidots

21. R-Pi simulator
1. Write python code
2. Interact with virtual
Raspberry Pi GPIOs
User’s
computer Raspberry Pi
simulator

22. UNED R-Pi Simulator

23. UNED R-Pi Simulator

24. Raspbian Virtual Image
1. Access a Raspberry Pi
on students computer
2. Interact with virtual
Raspberry Pi GPIOs and
send external HTTP
request to IoT platforms
User’s
computer Raspbian
virtual image
on VirtualBox

25. Raspbian Virtual Image
Name Raspbian Virtual Image
Partner UNED
Module(s) 3.3
Description Virtual image of the Raspbian OS that simulates the Raspberry Pi desktop and environment.
It allows Python coding and understanding of most of the Raspbian options.
URL -
Provider UNED
Licence type Open
Maintenance
requirements
No
User
requirements
No
Allow users
concurrency
Yes
Registration
required
No

26. Raspbian Virtual Image

27. IoE demonstrators
 Small-scale energy storage
systems
 connected to energy networks
and the web, tore produce a
smart grid with intelligent
models of storage and reload;
Smart home energy systems
 including sensors and controllers
interconnected and integrated
through the web, for an
intelligent monitoring of the
system;

28. IoE demonstrators
 Simulators of reload networks for
electric vehicles
 using the IoE technology to
interconnect the charging
stations and vehicles and to
manage in an intelligent way the
system;
 Small-scale energy systems
 including some distributed
renewable sources of energy and
load, integrated with IoT-based
sensors and controllers to realize
an intelligent and automated
control

29. Conclussions
 Improvement of SMEs competitiveness is crucial for mid
and long-term economic development
 the development of didactic courses for SMEs about new
technologies such as cloud computing, Internet of Things
and Internet of Energy becomes highly important for their
future.
 Several OERs can be used to provide a complete
learning experience
 The use of OERs maximizes its visibility over the time
and ensures the possibility of reuse and continuous
quality improvement by the community

30. OERs for improving European SMEs
competitiveness: from video-
lectures to remote labs
Prof. Dr. Manuel Castro, http://www.slideshare.net/mmmcastro/
mcastro@ieec.uned.es
Electronics Technology Professor, UNED, Madrid, Spain
IEEE Fellow, Emeritus President, IEEE Education Society