The document discusses the IEEE-SA STD 1876/2019 standard for online laboratories for education. The standard defines methods for storing and retrieving learning objects used in remote labs. It also defines methods for linking learning objects to design smart learning environments for remote online labs. The standard addresses definitions, metadata, services, sensors/actuators, and an online laboratories learning object metadata extension based on IEEE 1484.12.1. It also discusses recommended verbs for learning analytics using the xAPI standard.

1. Standardization of
Online
Laboratories for
Education:
IEEE-SA STD
1876/2019
Seminario
eMadrid sobre
«Estándares del
IEEE en
tecnologías
educativas»
11 Oct 2019
Miguel Rodríguez Artacho
miguel@lsi.uned.es

2. Content
What is a
standard
The P1876
group: scope
and context
IEEE-SA STD
1876/2019
standard
Current WIP

3. Standards
• Standards organizations (“de jure”)
• National bodies – AENOR, DIN
• European organizations -- CEN
• International organizations --
ISO, ITU
• “de facto” Standards
• IEEE (i.e. 802.3 Ethernet,
802.11 WiFi…)
• IMS (CP, LD, LTI, ..)
• ADL (SCORM, xAPI)

4. EU Rolling Plan
ICT 2019
Released March 2019

5. Rolling Plan ICT 2019

6. Financiación de
actividades de
normalización
https://www.standict.eu/

7. IEEE SA P1876 Group
Scope

8. IEEE SA P1876 Group
Chair: Hamadou Saliah-Hassane
https://ieee-sa.centraldesktop.com/1876public/
Networked Smart Learning Objects for Online Laboratories
Scope: This standard defines methods for storing and retrieving learning objects for remote laboratories. The
standard will also define methods for linking learning objects to design and implement smart learning environments
for remote online laboratories. These objects are, for example, interfaces for devices connected to user computers
over computers networks and the devices themselves. They are also learning scenarios or collaboration tools for
communications necessary to conduct an activity of practical online laboratory work; to design and implement
mechanisms that make smart learning environment formed by the ad hoc aggregation of learning objects taking into
account the pedagogical context for their use.

9. Online laboratories: context

10. Authentication
Widgets definition
Metadata
Open Social App
Smart Device approach
Booking and scheduling
Authorization
Metadata & Vocabulary
Network
Protocols
User
Interfaces
IVI
Specification
P1876

11. Standardization Levels
Learning environments or learning object repositories
Interactive Open Educational Lab (OEL)
Lab as an OER (LaaO)
Smart Device
Lab as a Service (LaaS)
Courses
Scenarios
Activities
Support material, Personalized, user interfaces, task sequences, paths
Standard:
MLR extension
xAPI extension
Standard:
Service metadata
Services
Protocols
Online Lab
=
Object
Actions
Traces
Sensor Data
State log
Knowledge
Learning
outcome
LEVEL 1
Embedded Things
LEVEL 2
Embedded pedagogy
Apparatus, sensors, actuators,
instruments, controllers, embedded
server computer or microcontroller
User prefs
Context
LTI
Configuration
Actuator data

12. Educational Perspective
Laboratory as a Service
Laboratory as an Educational Resource

13. LaaS
LaaO
Learning
Scenario

14. IEEE-SA
STD
1876/2019
Contenido

15. Definiciones

16. P1876
ONLINE
LABORATORY
REMOTE
LABORATORY
VIRTUAL
LABORATORY
PHYSICAL
LABORATORY

17. Metadata
(LaaS)
General Metadata General information on
the online laboratory such as the title,
description, contact and type of
exploitation license.
Binding Metadata. Binding metadata that
provide the list of Services APIs contained
in the laboratory, both solenoid (actuator)
and sensor (receiver).
Authorization metadata. Describe the
security schemes and mechanisms used in
the laboratory to allow access to the
different Services remotely.
Concurrent Access Metadata. Describe
the mechanisms that manage possible
simultaneous multiple access requests.

18. Services
(LaaS)
Metadata service: This service returns a description
of the online lab, its mechanisms and services. The
information provided by this service shall be sufficient
to programmatically define a user interface and the
related client-server communication.
Sensor service: This service returns data from a
‘sensor’ of the online lab.
Actuator service: This service allows control of an
‘actuator’ of the online lab.
Configuration service: This service returns available
configurations and sets configurations for an online
lab.

19. Optional Services (LaaS)
Client service: A list of client applications
providing a user interface to the online lab may
be provided by the online lab itself.
User activity logging service: This optional
service provides a method to retrieve logged user
actions. This service can be based on the
‘Logging and Alarms’ functionality discussed in
4.4.1.
Models service: Various information about the
connected equipment can be sent to the client
application.

20. SENSORSensor and Actuator description
ACTUATOR

21. OL LOM Online Laboratories
Learning Object Metadata
The Online Laboratories Learning Object Metadata (OL
LOM) is an application profile of IEEE Std 1484.12.1-2002,
which is optimized for use by educational online
laboratories community.
Application Profile Principles:
• Adding constraints: e.g., restricting the number of
elements that may be used or the number of times and
ways in which an element may be repeated
• Adding extensions: e.g., adding a new term to an
existing vocabulary, adding a new vocabulary to an
existing element or adding a new element

22. OL LOM Online
Laboratories Learning
Object Metadata
Extension of existing
vocabularies
New semantics 
Agregation level:
Sensor/Actuator 1, Smart
Device 2, Experiment 3
New Element  Experiment
Type: remote, virtual, hybrid

23. Learner Analytics xAPI verbs

24. Learning Analytics xAPI verbs

25. Community
of Practice
CoP responsibilities:
• It is very important that such communities
share best practices.
• Define the identifiers (verbs, activity
types,contextual relationships, extensions,
etc.) to be used in their use cases.
• Define these identifiers in a profile/recipes.
This is a set of rules and/or vocabularies to
implemented in addition to xAPI for the
particular use case being addressed.

26. Case
Study
• Eolic Lab
(http://uned.esy.es/eolic)
• Actuators:
• Fan (engine) 0 – 168 W
• Wing Rotator (engine) -150 –
150
• Battery – act as actuator,
because the student can decide
to use a percentage of the load.
• Sensors:
• Battery – act as a sensor, the
percentage of the battery
loaded by fan
Standardization of
Online
Laboratories for
Education:
IEEE-SA STD
1876/2019
Seminario
eMadrid sobre
«Estándares del
IEEE en
tecnologías
educativas»
11 Oct 2019
Miguel Rodríguez Artacho
miguel@lsi.uned.es
THANK
YOU!