Global Edtech Think That. Learntech Accelerator Horizon project. BETTSHOW2019. 25.1.2019, London.

1. PREDICTING FUTURE OF
EDTECH 2030
Dr. Jari Laru, University Lecturer. Research Unit for Educational Technology, Faculty of Education.
Global Edtech Think That. Learntech Accelerator Horizon project. BETTSHOW2019. London,
25.1.2019

2. Future of work? 2070*
* Children who start in primary school this year will be in working life until 2070

3. Pjotos: Pixabay & Wikipedia

4. Frey, C. B., & Osborne, M. A. (2013). The future of employment:
How susceptible are jobs to computerisation? Oxford, UK: Oxford
Martin School. Available
at http://acikistihbarat.com/Dosyalar/effect-of-computerisation-on-
Labour market and computerisation (AI)

5. Neelen & Kirchner (2017). A THREE STAGE PLAN TO PREPARE OUR YOUTH FOR JOBS THAT DON’T
EXIST (YET).https://3starlearningexperiences.wordpress.com/2017/08/18/a-three-stage-plan-to-prepare-our-youth-for-jobs-that-dont-exist-yet/
However, what is truly ‘21st century’ is the
enormous increase in information (and
information resources) and the challenge
around the question whether or not the
information is reliable. Therefore, Kirschner
argues, the only skills that are truly
‘21st century’ are:
• Information literacy: also known as
information problem-solving skills including
searching for, identifying, evaluating (the
quality and reliability of information sources),
and effectively using the information that has
been obtained; and
• Information management: the ability to
capture, curate, and share information.
How to prepare our Youth for jobs that don’t exist yet?

6. What are the basic educational goals?
”Quality education may be the single most powerful tool available available for
increasing educational growth, enhancing competetiviness, and promoting
inclusion” (Luschei, 2014)
Luschei, T. F. (2014). Assessing the costs and benefits of educational technology. In Handbook of research on educational
communications and technology (pp. 239-248). Springer, New York, NY.
”stable”

7. Basic educational goals (Spector, 2013)
A. Developing responsible citizens (citizens who will understand, appreciate,
and engage actively in civic and political life, with moral and civic virtues)
B. Developing life-long learners (fostering life-long learning by nurturing the
individual’s unique talents to be competent and responsible citizens
throughout their lives)
C. Developing basic knowledge and literacy (so that individuals can actively
participate in and contribute to society)
D. Developing critical thinking and problem-solving skills (examining ideas
and thoughts before accepting them, developing criteria with which to
evaluate and judge ideas, combining creative thinking and critical
thinking,and reaching a resolution).
Spector, J. M. (2013). Emerging educational technologies and research directions. Journal of
Educational Technology & Society, 16(2).

8. ”..these (basic) goals [last slide] and
associated educational mission can be
found in one form or another in most
developed and developing countries
around world..” (pp.84 ,Navidad, Mayes,
Choi & Spector, 2015)
Natividad, G., Mayes, R., & Spector, J. M. (2015). Balancing stable educational
goals with changing educational technologies: challenges and opportunities. e-
mentor, 1, 83-94.

9. Tech experts
Pedagogy
experts
Pitkänen, K., Iwata, M., &
Laru, J. (2019). Supporting
Fab Lab facilitators and
school teachers
to foster learning in digital
fabrication activities.
Manuscript submitted for
publication.

10. Near term future (present)
Not-so—distant future
(research and R&D)
Distant Future
Technology
Enhanced Learning
Technology Enhanced &
Augmented
Learning Processes
No idea 
Today ”Tomorrow” ”No ETA, surprise”
Structure of the rest of the presentation: A-B-C

11. A. NEAR-TERM FUTURE
(”Present”)
Already available, but not taken into use yet

12. Current tech level: programming, robotics,
STEAM, making etc. (physical computing)

13. Current tech level: Course management &
assesment (Learning management)

14. Current tech level: Personal learning/teaching
environments with social media
Personal Learning Environment: Janson Hews: https://www.flickr.com/photos/24823508@N04/6992313131
”A Personal Learning Environment or
PLE is a potentially promising
pedagogical approach for both
integrating formal and informal
learning using social media and
supporting student self-regulated
learning in higher education
contexts.”

15. Current tech level: Inclusive learning tools

16. Current tech level: interactive content creation,
authoring

17. Current tech level: VR/AR content creation &
authoring

18. https://www.researchgate.net/figure/An-example-of-integration-with-Basic-IMS-LTI-
When-we-speak-about-Web-Services-integration_fig2_267949991
González, C., & Motz, R. (2011). Advantages of
using Web Services as Learning
Objects. International Journal of Computer
Application: Proceedings on Design and Evaluation
of Digital Content for Education (DEDCE) Eds.
Foundation of Computer Science, 1.
Current tech level: standards & integration
within/between ecosystems

19. B. NOT-SO-DISTANT FUTURE
(”tomorrow)
Prototypes available, researchers have visions, ideas, projects etc.

20. RESEARCH
TRENDS /
PROJECTS
(outline for
following
slides)

22. To adress 21st centyry challenges and opportunities,
Woolf (2010) suggests..
● User modeling
● Mobile and network tools
● Rich interfaces and
environments, including
gamification and
intelligent systems
● Educational data mining
● Personalizing education
● Assessing student learning
● Diminishing boundaries
● Developing altenative
teaching strategies
● Enhancing the role of
stakeholders
● Adressing policy changes
Technology should be used for:New designs that include:
Woolf B.P., A roadmap for education technology, National
Science Foundation, Washington, DC, 2010, https://hal.
archives-ouvertes.fr/hal-00588291.
Technology is not answer, unless it
can be used for
?

23. PHYSICAL COMPUTING 2.0 ?
Energy harvesting, self powered devices which integrate to various learning
contexts

25. ADAPTIVE LEARNING MATERIALS
& Environments

26. Smart Learning Environment [metatutor]
Adaptive learning materials: early steps
Chew, S. W., Cheng, I. L., & Chen, N. S. (2018). Exploring challenges faced by different
stakeholders while implementing educational technology in classrooms through expert
interviews. Journal of Computers in Education, 5(2), 175-197.
Metatutor Environment (left side:) Azevedo, R., Harley, J., Trevors, G., Duffy, M., Feyzi-
Behnagh, R., Bouchet, F., & Landis, R. (2013). Using trace data to examine the complex roles of
cognitive, metacognitive, and emotional self-regulatory processes during learning with multi-agent
systems. In International handbook of metacognition and learning technologies, Springer New
York, p. 431
..towards developing ”smart learning environment”
• That monitors learners’ learning process and
their progress,
• adapting to their learning patterns and needs,
• suggesting and feeding learners with relevant
information what they need in different forms
that suits each learner’s learning preference
and style
Future: Automated real-time adaptive learning
environment?

27. Smart Learning Environment [GSTUDY]
Future perspectives
See also: Malmberg, J., Järvenoja, H., & Järvelä, S. (2010). Tracing
elementary school students’ study tactic use in gStudy by examining a
strategic and self-regulated learning. Computers in Human Behavior, 26(5),
1034-1042.

28. MULTIMODAL DATA & NEW
METHODS
Where is learning on learning analytics? Methdological challenge at the moment,
not in tomorrow

30. https://www.slamproject.org/uploads/5/7/5/1/57512023/j%C3%A4rvel%C3%A4
-keynote_lak_2017-final_optimized.pdf
101 hours of video, 266 216 000 data points of
physiological data, 236 000 EdX log events…
Collaboration with LA, data-mining and signal
processing experts => Methodological
development (LA) => Data vizualisation
SLAM PROJECT
Future perspectives

32. PEDAGOGICAL AND DIDACTICAL
AGENTS (or robots)

33. Azevedo, R., & Taub, M. (in preparation). The challenge
of measuring processes and outcomes during learning
from multiple representations with advanced learning
technologies. In P. Kendeou, P. Van Meter, A. List, & D.
Lombardi (Eds.), Handbook of learning from multiple
representations and perspectives. Cambridge, MA:
Cambridge University Press.
Azevedo, R., Bouchet, F., Harley, J. M., Feyzi-
Behnagh, R., Trevors, G., Duffy, M., ... & Mudrick, N.
(2011). MetaTutor: An Intelligent Multi-Agent
Tutoring System Designed to Detect, Track, Model
Foster Self-Regulated Learning. In Proceedings of
the Fourth Workshop on Self-Regulated Learning in
Educational Technologies.
Pedagogical (or didactical) agents
”It is a simulated human-like
interface between the learner and
the content, in an educational
environment. A pedagogical agent
is designed to model the type of
interactions between a student and
another person.”
(https://en.wikipedia.org/wiki/Peda
gogical_agent)
https://commons.wikimedia.org/wiki/File:MetaTutor.jpg

34. Educational robots
Future perspectives
Educational robot is not just a tool used in the
class, but more general learning companion
• Ability to have fully context aware whereby it
would be to feed learner’s preference (Mishra,
2015)
• Ability to understand and attain learning
patterns and characteristics of the learners
• Would be able to react to the learner’s input
• Robot would grow together with child,
learning the child’s living style and learning
habits

35. B. DISTANT FUTURE (No ETA,
surprise)
We have no idea about it.

36. Next generation hardware and software: tool for
living (so easy, intuitive and supportive)

37. NOW:
Technology enhanced learning
SOON: (future)
Technology enhanced/augmented
learning processes
www.oulu.fi/let
https://twitter.com/LET_Oulu

38. https://www.linkedin.com/in/jarilaru
https://www.researchgate.net/profile/Jari_Laru
https://twitter.com/larux
Thank You!