4. XID VD: publications
• Estebanell Minguell, M.; Daunis i Estadella, J.; Duran Portas, M.; Duran
Carpintero, J.; Macaya Masferrer, D.; Montoro Moreno, L.; Simon
Rabaseda, S.; Verdú Navarro, E. (2019): La docencia virtual en la
educación superior desde la perspectiva de los estudiantes.
Alfabetización crítica, videojuegos, formación en línea y
participación. Jornadas Universitarias de Tecnología Educativa. JUTE
• Daunis i Estadella, P. Estabanell Minguell, M.; Duran Portas, M.; Duran
Carpintero, J.; Macaya Masferrer, D.; Montoro Moreno, L.; Simon
Rabaseda, S.; Verdú Navarro, E.. (2019): Online-augmented university
teaching and learning: perceptions and challenges. INNOVAESTIC 2019
• Montoro Moreno, L.; Barceló Vidal, C.; Cornellà Canals, P.; Duran Portas,
M.; Daunis Estadella, J.; Duran Carpintero, J.; Estebanell Minguell, M.;
Ferres Font, J.; Macaya Masferrer, D.; Simon Rabaseda, S.; Verdu Navarro,
E. (2014): Medios y fuentes de información en el aprendizaje
universitario actual. VIII Congrés Internacional de Docència Universitària i
Innovació (CIDUI). Tarragona, 2, 3 i 4 de juliol de 2014
• S Simon et al., Virtualization Of Teaching In Higher Education: A Clear
Divergence Between Students’ And Teachers’ Views And Perceptions ?
Iceri 2019, Nov 2019, Sevilla
5. Virtualizing teaching... Thus...
We have already virtualized... (among others, indeed)
- Mail
- Conversations (i.e., whatsapp)
- Writing (blogs, websites, ...)
- Games
- Paperwork / red tape
- Educational resources
- Lecturing
- Voting
- Banking
- Strategic planning
• Remember: MOOCs
• Remember: UdG's intelligent website bar
6. We are going to review two key
aspects of virtualization ...
Decision taking
Analytics
Learning progress
Personalized experience
Digital twinning
Virtual assistants
i.e., ARTIFICIAL INTELLIGENCE
Human-machine bonding
Sensors, sensors, sensors, wearables
Bots, robots, cobots
Machine-machine connections and conversations
i.e., INTERNET OF THINGS
8. Political scene Jan 2020
• Catalonia:
• @marett Dir.Gral. IT Innovation in Education (Party 1)
• Someone else - Digital Strategy (Party 2)
• Spain:
• Secr. State on Digitalization and Artificial Intelligence
(transferred from Min. Educ. Science towards Min
Economy, since 13 Jan 2020)
• Digital transformation
9. China’s achievements in
implementing AI and Machine
Learning in education are incredible:
• there are robots in the classrooms that control a student’s
health level
• students wear uniforms with trackers to keep them safe
while they are on the school territory
• the most notable achievement is headbands which
determine a student’s concentration level
• Benefits:
• Predicting career paths
• Precise grading
• More personalized classroom experience
• Flaws:
• Grading systems
• Data collection and transparency
10. China’s achievements in
implementing AI and Machine
Learning in education are incredible:
• Imagine students leaving the classroom and
pressing satisfaction buttons!
• Deep Learning is Not Always the Best Solution in
Education
https://opendatascience.com/machine-learning-for-education-benefits-
and-obstacles-to-consider-in-2020
13. Curating clues and key references on
IA and IoT in [Higher] Education
• Beyond virtualization of teaching in higher
education
• https://edunoming.wordpress.com/2020/01/14/mes-enlla-de-la-
virtualitzacio-a-leducacio-superior/
• On the impact of AI and IoT in Higher Education
• https://edunoming.wordpress.com/2020/01/14/on-the-impact-of-
ai-and-iot-in-higher-education/
• Notes on Artificial Intelligence in Higher Education
• https://edunoming.wordpress.com/2020/01/14/notes-on-artificial-
intelligence-in-higher-education/
14. Systematic review of research on AI
applications in HE – where are the
educators?
Conjecture: every aspect of learning can in principle be
precisely described and a machine can be made to simulate it.
Ai refers to machine learning, natural language processing,
data mining, neural networks, algorithms, … AI is used for
classification and profiling. Also recognizing patterns, make
predictions, apply newly discovered patters…
The concept of agent is central to AI. Virtual agents can act as
teachers, facilitators of students’ peers. There are virtual or
remote labs.
https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41
239-019-0171-0
16. UNESCO report on challenges and
opportunities in AIEd for sustainable
development
Preparing teachers for AI-powered
educations, quality and invlusive
data systems, ethics and
transparency.
https://unesdoc.unesco.org/ark:/48223/pf0000366994
17. AI in Education: compendium of promising
initiatives (Mobile Learning Week 2019)
Driving reader engagement.
Special needsd, wearables.
Educaiton beyond the classroom
Intellignt tutoring system
Computer games
Augmented intelligence
Increase of movitavion and engagement
Chatbots
Digital Intelligence Virtual Assintan
Support of Human Intelligence.
Symbolic AI and machine learning (OERs)
Digital inclusion
Humanizing altorithmic societies
Experimenting with AI in the classroom
https://iite.unesco.org/publications/ai-in-ed-compendium-of-
promising-initiatives-mlw-2019
18. Will AI replace university lecturers? Not if
we make it clear why humans matter
AI teaching will mostly happen online, in 24/7 virtual
classrooms. AI machines will learn to teach by
ferreting out complex patterns in student behaviour –
what you click, how long you watch, what mistakes
you make, even what time of day you work best. This
will then be linked to students’ “success”, which
might be measured by exam marks, student
satisfaction or employability.
https://www.theguardian.com/education/2019/sep/06/will-ai-replace-
university-lecturers-not-if-we-make-it-clear-why-humans-matter
19. Will AI replace university lecturers? Not if
we make it clear why humans matter
- It is essential that students understand that over time,
more repetitive and routine tasks will be automated
and performed by artificial intelligence, automation,
and robots. However, there will always be roles
requiring creative skills, cognitive skills, and emotional
intelligence skills
- University leaders and administrators should become
proactive in initiating pilot programs to test the use of
AI in various ways, while critically considering the
results and the ethical obligations that must be met
along the way
https://www.theguardian.com/education/2019/sep/06/will-ai-replace-
university-lecturers-not-if-we-make-it-clear-why-humans-matter
20. Explainable AI: The Rising Role Of
Knowledge Scientists
There is no trust without explainability. Explainability
means that there are other trustworthy agents in the
system who can understand and explain decisions made
by the AI agent. Eventually, this will be regulated by
authorities, but for the time being, there is no other
option than making decisions made by AI more
transparent.
Unfortunately, it’s in the nature of some of the most
popular machine learning algorithms that the basis of
their calculated rules cannot be explained; they are just
“a matter of fact.”
https://www.forbes.com/sites/forbestechcouncil/2019/12/30/explainable
-ai-the-rising-role-of-knowledge-scientists
21. The machines are learning, and so
are the students
• Education is going to be the killer app for deep
learning
• The world will still need schools, classrooms and
teachers to motivate students and to teach social
skills, teamwork and soft subjects like art, music
and sports. The challenge for AI-aided learning,
some people say, is not the technology, but
bureaucratic barriers that protect the status quo.
https://www.sfchronicle.com/business/article/The-machines-are-
learning-and-so-are-the-students-14923017.php
22. And now a few good quotes...
• Consuming content is not equivalent to learning.
• Teaching is a creative, insightful, collaborative, soul-
enriching human activity
• The best results will come from combining the
strengths of AI and human abilities
• We must never underestimate the value of human
interaction and critical thinking in the field of
education
• Deception is an integral part of AI and robotics. In
some ways, AI is the science of illusion.
24. The Internet of
Things: a brief
guide
https://www.cse-net.co.uk/the-
internet-of-things-a-brief-guide/
25. IoT in HE: A study on future
learning
• By enhancing asset intelligence, educational
institutions can enhance outcomes by adding values
in some areas include: Enhanced Learning
Experiences and Outcomes, Improved Operational
Efficiency, Safer Campus Designs
https://iopscience.iop.org/article/10.1088/1742-6596/892/1/012017
26. How the Internet of Things (IoT) is
transforming education industry?
1. Smart automated student tracking
2. Personalized learning
3. IoT enabled smart boards and new generation
textbooks
4. AI-powered research
5. Aiding special-need students
6. Enhanced security of learning spaces
7. Smart / connected classrooms
8. Task-based learning
https://www.techaheadcorp.com/blog/iot-in-education-industry
29. How Will IoT Change the
Education Sphere?
• For:
• Data Collection
• Personalized learning
• More Human-to-Machine interaction
• Security
• Pitfalls:
• Privacy
• Fuels the global digital divide
• Financing Issues
https://www.emergingedtech.com/2019/05/how-will-iot-change-impact-
education/
31. Unfortunately, flaws and
drawbacks
• EDUCAUSE Reports That Higher Education Says AI,
IOT And Social Media Having Limited Impact.
What?
• https://www.forbes.com/sites/steveandriole/2019/03/25/educause
-reports-that-higher-education-says-ai-iot-social-media-having-
limited-impact-what/#232f51844ea9B
But...
IoT stands to change dramatically the way
universities work, and enhance student learning in
many disciplines and at any level. It has huge
potential for universities or any other educational
institutions.
32. Unfortunately, flaws
and drawbacks
EDUCAUSE: Higher
Education’s 2019 Trend
Watch and Top 10 Strategic
Technologies
IA and IoT in bottom 20%:
limited impact
https://www.educause.edu/ecar/research-publications/higher-
education-trend-watch-and-top-10-strategic-
technologies/2019/trend-watch/trend-watch-2019#TrendWatch2019
33. How to recognize AI snake oil
https://www.cs.princeton.edu/~arvindn/talks/MIT-STS-AI-snakeoil.pdf
Regression analysis is a hundred years old! Regarding social
outcomes, there is a lack of exaplinability.
34. Revolució 4.0, Xantal Llavina
• Xavier Sala i Martín: “Vull saber si la IA provocarà
un desastre a la humanitat”
• La IA ens podrà ajudar i, de fet, ens ajuda, en les
prediccions però que els humans som millors, ja que
tenim moltes altres capacitats. Creu que s’exagera
quan es parla de la revolució digital
36. Why are so many educational AI
“solutions” total crap?
Here’s a clue: Fewer than 9% of research papers on
the use of AI in education have a first author with a
background in education research. Ignoring years of
education research is simply stupid
https://twitter.com/profkeithdevlin/status/1194509496225280001
37. Demystifying AI: What’s Fiction,
and What’s Worth Fanfare?
• Myth #1: AI will replace jobs and maybe even
humans.
• Myth #2: AI will ruin privacy.
https://readwrite.com/2019/11/27/demystifying-ai-whats-fiction-and-
whats-worth-fanfare
38. El futur no el decidiran les
màquines
El decidirem les persones però amb un ús cada cop
més intensiu de la intel·ligència artificial, que no és
altra cosa que una extensió de la intel·ligència
humana. Que la tecnologia augmenti la humanitat i
no al revés (Xavier Marcet)
https://twitter.com/XavierMarcet/status/1160431401524715520
40. Is Artificial Intelligence the
Ultimate University Stimulus?
If there’s one thing that makes studying at university
better, it has everything you need to learn, study, and
research wherever the student may be.
Whether studying, learning or research takes place
on the go or from home can be the students’ choice.
Through a combination of online and offline
education, artificial intelligence allows students to
study where and when they want.
41. To think about ...
• Critical and rational virtualization of teaching and
learning
• New line of research on this subject
• It is part of the digital transformation of society
• Provides key skills to students to become informed
citizens
• Launching pilot projects
• Smart Campuses
• Role of Library
42. To think about ...
• Self-paced vs same-pace
• Field-dependent
• Learners rather than content consumers?
• Sticking to fixed space, time, teacher?
• Wearables in education
• Curiosity-driven or grade-achivement-driven?
• Diversity, inclusitivy, equity
• Personalisation of learning experience – i.e., of
university, young age
• Is virtual the new real?
43. What can XID VD do now? To Take Home ...
• Chatbot (using current ca. free available codes)
• Counseling / Tutoring
• Preuniversity Carrer Orientation
• IoT stuff
• Digital twinning (both students and professors)
• Observatory of AI/IoT in HE
At several levels: course, study and/or university
Virtualization of learning will lead to better teachers due
to a better understanding of the learning process