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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.
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
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.
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
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!