2. Expected outcomes of the
study
❖ To design a Reference Architecture for data-rich
physical and virtual learning environment by
combining large amount of automatically generated data
from various sources (teachers computer, BYOD, online
learning environment), environmental sensors installed
in the classroom (air, light, movement, infrared etc.) and
wearable sensors gathering bio- and neurofeedback
from students and teachers to detect patterns that
help analyse students’ reactions and emotions
during their study process.
2
3. Research problem
❖ How to describe to different stakeholders the core
aspects of the hardware and software architecture for
“smart schoolhouse” that enables automatic data
collection from physical learning environment so that
this data could be integrated with the digital footprints of
learners (in their BYOD and online platforms) and then
used for learning analytics purposes?
4
5. network and projects
SSH
Learning
Analytics
IoT
Smart House&
Smart Health
STEAM
Education
Timo Tobias
Ley
María Jesús
Rodríguez-Triana Luis Pablo
Prieto Santos
Kai Pata
Kairit
Tammets
Terje
Väljataga
Mart
Laanpere
Merike Saar
Shashi Kant
Shankar
Pankaj
Chejara
David Jose
Ribeiro Lamas
Vladimir
Tomberg
Kadri-Liis
Kusmin
Janika
Leoste
CEITER
SmartZoos
Avastusrada
Rada
Living Labs
Innolabs
Linda Helene
SillatLearning Layers
6. Methodology
❖ Mixed methods research design following the emerging agile and
iterative design-based research that implemented in three cycles:
❖ Analysis phase: review of related research and available sensor/IoT
technologies for “smart schoolhouse”; setting up a pilot “smart
classroom” in 5 (+14) schools in Estonia; participatory design
sessions; focus group interviews with experts and teachers
❖ Design phase: setting up a “smart classroom” in 19 schools in
Estonia, small-scale empirical data collection and co-design of RA
with TLU students and school pupils
❖ Implementation phase: Re-designing and implementing the RA on
setting up “smart classroom” in Väätsa Põhikool, a school-level data
collection
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7. The current international and
national landscape
❖ A Paradigm Shift in Education
❖ Estonian Lifelong Learning Strategy 2020
❖ change in the approach to learning
❖ Digital Turns towards 1:1 computing
❖ Transition to new socio-technical regime in schools
requires consensus on a new architecture for
educational services (cloud-based, BYOD-focused,
service-oriented, intelligent, interoperability)
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9. Room sensors
❖ Proximity Beacons, Xiaomi Mijia 6 in 1 Smart Home Security Kit, 45 different
sensors– temperature, humidity, capacity, six axis sensor accelerometer,
gyroscope, 3-axis gyroscope, 3-axis accelerometer, IR motion sensors etc.
LED Kit, Raspberry Pi 3 Sets, Z-Wave.Me RaZberry2, and accessories.
11. Research Labs sensors
❖ Teslong Portable Waterproof USB Microscope with 10-200 Magnification
camera for Android, Mac and Windows PC, Open Garden Indoor Hydroponics
kit from Libelium, Ozobot Bit Coding Robot, and PocketLab Voyager
13. Digital art
❖ Action camera Samsung Gear 360⁰, 3D printer Prusa i3 MK2S, Photo Studio
set with Continuous Lighting Softboxes, Daylight Sets and Tripods, Google
Home Speaker, SmartPhone Galaxy 6, Wacom Intuos Pro Small Graphics
Tablet, and VR virtual reality Headset
Editor's Notes
A Reference Architecture provides a template solution for particular software architectures in a specific domain
RA provides a common vocabulary with which to discuss implementations, define software requirements, quality indicators etc.
In recent decades, there has been a lot of changes in the way technology is used in teaching and learning process: from simple content delivery on multimedia CDs to complex enterprise-level online learning systems (Moodle, EIS, eKool)
BYOD, cloud-based services and IoT are pushing us towards another “digital turn” in schools: “smart schoolhouse”
The potential of IoT (linking physical and virtual worlds) in teaching and learning context has not been yet systemically researched, coherent “big picture” is missing
Reference architecture might be one potential solution