Poster: Smart System Based On Adaptive Learning Itineraries

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Technological Ecosystems for Enhancing Multiculturality

Scientific poster presented in TEEM2018 Doctoral Consortium Authors: Alberto Real-Fernández, Rafael Molina-Carmona , FaraónLlorens-Largo

Dissertation status
Adaptive
Alberto Real-Fernández, Rafael Molina-Carmona , Faraón Llorens-Largo
18/25
20/45
15/30
C2
C1
C3
C4I
21/3519
21
16
21
F
Competence map
A1 A2
C1, C3
D1 D1
C1, C2
A3 A4
C1, C2, C3 C1, C2
D3D2
Selection engine
Activity bag
Competences as nodes
Learning itineraries
Personalized Continuous
IT drivenAutonomous
Learning model
5 Model Description
6 Model Proposal
1 Keywords
IT evolution
New
educational
needs
Digital
transformation
Adaptive learning logic
Real-time selection
Learning means
Different learning styles
2 Context and motivation
Smart System Based On Adaptive Learning Itineraries
Smart learning, digital transformation
educational technology, personalized learning
3 Hypothesis
It is possible to perform a whole digital transformation process in education, by creating a learning model based
on Information Technology, that adapts its content to the individual needs, preferences and progress of each
learner.
4 Objectives
• Analyse the educational needs that Digital Society presents nowadays and the points a digital transformation
should reside on.
• Propose a adaptive and personalized learning model based on IT, aimed to cover both general and individual
needs detected on educational environment.
7
Problem
Statement
95%
Literature
review
55%
Model
Definition
60%
Prototype
30%
Pilot test
0%
Results analysis
and discussions
10%
8 Contributions
• Initial prototype version of the proposed model
• Article publication and presentation in CINAIC 2017

The talk summarises the lessons learnt from nearly 200 cases of Knowledge Management journeys by Hong Kong and Asian enterprises. Much of the data is gained through the extensive number of student, consultancy and research projects carried out or supervised by KMIRC staff at private companies, non-profit social services organizations and government departments. The projects include KM readiness assessments, knowledge audit, strategy formulation, taxonomy design and maintenance, cultural assessment and organizational change, knowledge retention from near-retirees, requirements elicitation and selection of collaboration tools including portals, search engine assessments, configuration and continuous improvements, IC reporting and many more. The speaker will outline the challenges and their respective solutions, the theory-practice gap, as well as some easy “entry points” into KM. This talk is an extended version of an award-winning presentation delivered at the recently held European Conference on Knowledge Management, Udine, Italy.

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Poster: Smart System Based On Adaptive Learning Itineraries

1. Dissertation status Adaptive Alberto Real-Fernández, Rafael Molina-Carmona , Faraón Llorens-Largo 18/25 20/45 15/30 C2 C1 C3 C4I 21/3519 21 16 21 F Competence map A1 A2 C1, C3 D1 D1 C1, C2 A3 A4 C1, C2, C3 C1, C2 D3D2 Selection engine Activity bag Competences as nodes Learning itineraries Personalized Continuous IT drivenAutonomous Learning model 5 Model Description 6 Model Proposal 1 Keywords IT evolution New educational needs Digital transformation Adaptive learning logic Real-time selection Learning means Different learning styles 2 Context and motivation Smart System Based On Adaptive Learning Itineraries Smart learning, digital transformation educational technology, personalized learning 3 Hypothesis It is possible to perform a whole digital transformation process in education, by creating a learning model based on Information Technology, that adapts its content to the individual needs, preferences and progress of each learner. 4 Objectives • Analyse the educational needs that Digital Society presents nowadays and the points a digital transformation should reside on. • Propose a adaptive and personalized learning model based on IT, aimed to cover both general and individual needs detected on educational environment. 7 Problem Statement 95% Literature review 55% Model Definition 60% Prototype 30% Pilot test 0% Results analysis and discussions 10% 8 Contributions • Initial prototype version of the proposed model • Article publication and presentation in CINAIC 2017

Poster: Smart System Based On Adaptive Learning Itineraries

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