«Educación Inteligente: revisión y futuras líneas de investigación». A. Carruana Martín, C. Alario Hoyos, C. Delgado Kloos. Universidad Carlos III de Madrid.

1. Smart Education
Adrián Carruana Martín, Carlos Alario Hoyos
and Carlos Delgado Kloos
A Review and Future Research Directions

2. Index
1. Introduction
2. Methodology
3. Developed Systems
4. Research Opportunities
5. Conclusions

3. Introduction

4. Introduction
● Evolution of education

5. Introduction
● What is Smart Education?
○ There is no formal definition
○ Some common factors:
■ Use of technology
■ Teaching customization
■ Make education more attractive
■ Individualized teaching
■ Creativity-centered education

6. Methodology

7. Methodology - Query
KEY( educat* OR pedagog* OR student* OR teach* OR class*) AND
( "Smart Education" OR "Smart Teaching" OR "Smart Class" OR "Smart Classroom" OR
"Smart Pedagogy" OR "Smart Learning" ) AND
( "iot" OR "sensor" OR "Internet of things" OR "augmented reality" OR "AR" OR
"virtual reality" OR "VR" ) AND
( "artificial intelligence" OR "AI" OR "learning analytics" OR "LA" OR "data mining" OR
"machine learning" OR "deep learning" OR "big data" )

8. Methodology - Results
Years # Papers
2012 1
2016 9
2017 11
2018 21
2019 14
Total 56

9. Methodology - Results
Technologie
s
# Papers
IoT 46
NFC/RFID 11
AR 11
VR 8
Others 5

10. Methodology - Results
Localization # Papers
On-site 26
Online 6
Both 20
Not specified 4

11. Developed Systems

12. Developed Systems
1. Identification
2. Data management
3. Visualization systems
4. Creating virtual environments

13. Developed Systems - Identification
● Network Intrusions
● Actions
● Knowledge and skills
● Emotions

14. Developed Systems - Identification -
Example
● Ubiquitous smart learning system for smart cities
○ Analyzes and identifies the activities of people
○ Through wearable sensors or smartphones
○ To facilitate the administration and delivery of instructions
in smart environments
Elhoseny, H.; Elhoseny, M.; Abdelrazek, S.; Riad, A.M.; Hassanien, A.E. Ubiquitous smart learning system for smart cities. In
Proceedings of the IEEE 8th International Conference on Intelligent Computing and Information Systems, ICICIS 2017, Cairo,
Egypt, 5–7 December 2017; pp. 329–334, doi:10.1109/INTELCIS.2017.8260058

15. Developed Systems - Data management
● Attendance
● Environmental measures
● Administrative data

16. Developed Systems - Data management -
Example
● Unified framework for IoT and smartphone based different smart
city related applications
○ The evaluation and improvement of the classroom
environment
○ From air quality to the noise level
○ Data collection with smartphone and sensors
Dutta, J.; Roy, S.; Chowdhury, C. Unified framework for IoT and smartphone based different smart city related applications. Microsyst.
Technol.2019,25, 83–96, doi:10.1007/s00542-018-3936-9

17. Developed Systems - Visualization systems
● Performance
● Evaluation

18. Developed Systems - Visualization systems -
Example
● IoT technologies to enhance precision and response time of
mobile-based educational assessments
○ A standards-based evaluation system
○ Uses tablets, smartphones and sensors
○ To perform evaluations and allow real-time reporting
Shapsough, S.; Hassan, M.; Shapsough, S.E.; Zualkernan, I.A. IoT technologies to enhance precision and response time of mobile-based
educational assessments. In Proceedings of the International Conference on Computational Science and Computational Intelligence,
CSCI 2016, Las Vegas, United States, 15–17 December 2016; pp. 202–205, doi:10.1109/CSCI.2016.0045

19. Developed Systems - Virtual environments
● Objects/Machines
● Anatomical samples of animals and humans
● Operations simulation

20. Developed Systems - Virtual environments -
Example
● Application of a non-immersive VR, IoT based approach to help
Moroccan students carry out practical activities in a personal
learning style
○ A scenario which could be visualized from students'
smartphones with an NFC card
○ To make learning more attractive and solve the problem of
scarcity of educational materials
Fahim, M.; Ouchao, B.; Jakimi, A.; El Bermi, L. Application of a non-immersive VR, IoT based approach to help Moroccan students carry
out practical activities in a personal learning style.Future Internet 2019,11, 1–15, doi:10.3390/fi11010011

21. Research Opportunities

22. Research Opportunities
● Connectivity
● Security
● Prediction systems
● Dashboards

23. Research Opportunities - Connectivity
● More and more devices
● Mixed communications
● No specific protocol

24. Research Opportunities - Security
● Personal data
● Ethical aspects

25. Research Opportunities - Prediction systems
● Get ahead of the problems
● New measures

26. Research Opportunities - Dashboards
● Large amount of data
● Facilitate your understanding
● Decision making

27. Conclusions

28. Conclusions
● More and more papers on Smart Education
● But there is a lot of theoretical work
● Systems with good results
● We have identified research opportunities
● All papers contain almost all common factors

29. Thank you!