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Research Seminar 02.11.2016
Reference Architecture for Data
Collection and Analytics in Smart
❖ 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)
❖ 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
What is reference
❖ A Reference Architecture provides a template solution
for particular software architectures in a specific domain
❖ RA provides a common vocabulary with which to
define software requirements,
quality indicators etc.
❖ Example of Reference
Architecture for SOA ->
❖ 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?
Research question (1)
❖ Which technology to select for data collection from the
physical learning environment?
❖ What kind of data can be (and has been) collected in
the classrooms with available sensor/IoT technologies?
❖ What kind of data should never be collected from the
❖ Which sensors/IoT technologies are optimal to
introduce in the “smart schoolhouse” context?
Research question (2)
❖ What are the components and structure for Reference
Architecture of the smart schoolhouse (RASS)?
❖ What are the common patterns of existing sensor/IoT
hardware and software setups in school settings?
❖ How to visualise the RASS?
❖ What are expectations of various stakeholders while
applying RASS in different contexts (e.g. hardware
procurements, network setup, learning analytics)?
Research question (3)
❖ How to validate, implement and develop RASS?
❖ Which existing validation approach is optimal for
RASS and how it needs to be adapted?
❖ How to manage the life cycle of RASS?
❖ How to make RASS meaningful and useful for
❖ 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”; focus group interviews with
experts and teachers
❖ Design phase: setting up a pilot “smart classroom” in TLU HIK,
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
Expected outcomes of the
❖ 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
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
Tentative time Schedule
❖ I semester - literature review
❖ II semester - setting up a pilot classroom in HIK
❖ III, IV semester - suggestions to and setting up an
❖ V, VI semester - the experimental study and data collection
in real-life settings in one pilot school
❖ VII semester - analysing, validating, comparing the data
❖ VIII semester - finishing the thesis
❖ Use of sensors/IoT in other contexts:
❖ SmartHouse, SmartHome, SmartBuilding
❖ air quality, temperature, noise, light, glow, humidity, chair occupancy
❖ presence, location/position, proximity, gesture
❖ skin and body temperature, heart rate, respiratory rate, blood pressure,
emotional stress, eye tracking/eye gaze
❖ What els?