11_10_2019 IEEE Education Society Standard 1876 –«Networked smart learning objects for online laboratories»–, for Miguel Rodríguez Artacho, UNED
•
1 j'aime•208 vues
eMadrid seminar on «IEEE standards over education and learning technologies»
Recommandé
Recommandé
Contenu connexe
Similaire à 11_10_2019 IEEE Education Society Standard 1876 –«Networked smart learning objects for online laboratories»–, for Miguel Rodríguez Artacho, UNED
Similaire à 11_10_2019 IEEE Education Society Standard 1876 –«Networked smart learning objects for online laboratories»–, for Miguel Rodríguez Artacho, UNED (20)
Plus de eMadrid network
Plus de eMadrid network (20)
Dernier
Dernier (20)
11_10_2019 IEEE Education Society Standard 1876 –«Networked smart learning objects for online laboratories»–, for Miguel Rodríguez Artacho, UNED
- 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
- 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
- 7. IEEE SA P1876 GroupScope
- 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.
- 10. Authentication Widgets definition Metadata Open Social App Smart Device approach Booking and scheduling Authorization Metadata & Vocabulary Network Protocol s User Interface s 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
- 15. Definiciones
- 17. Metadata (LaaS)
- 18. Services (LaaS)
- 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. SENSOR Sensor 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
- 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!