Experiences from Two Latin American PhD Students in IrelandThink Latin America
In this presentation, Alfredo Maldonado Guerra and Liliana Mamani Sanchez, two PhD candidates from Trinity College Dublin, a program funded by CNGL, talk about their background and experiences in Ireland as Latin American students, giving an overview of their research as well as discussing career prospects for Latin American graduates.
Experiences from Two Latin American PhD Students in IrelandThink Latin America
In this presentation, Alfredo Maldonado Guerra and Liliana Mamani Sanchez, two PhD candidates from Trinity College Dublin, a program funded by CNGL, talk about their background and experiences in Ireland as Latin American students, giving an overview of their research as well as discussing career prospects for Latin American graduates.
The Personalization Challenge: Context and Culture Metadata for Mobile Learning
In this keynote, we addressed m-learning adaptation based on a standardized context description. The context description contains cultural, organization and individual factors as a base for adaptable and adaptive systems. This is used on the openscout project which is about adaptation of learning resources also in the international context.
Exploring Smartphone Applications for Effective Mobile-Assisted Language Lear...heyoungkim
Kim, H.,& Kwon, Y. (2012, June). "Exploring Smartphone Applications for Effective Mobile-Assisted Language Learning"
Paper presented at CACLIO 2012, University of Notredame, Indiana.
Supporting integration through incidental learningAndrew Brasher
The Maseltov project (“Mobile Assistance for Social Inclusion and Empowerment of Immigrants with Persuasive Learning Technologies and Social Network Services”, http://www.maseltov.eu/ ) project recognises major risks for social exclusion of immigrants and identifies the potential of mobile services for promoting integration and cultural diversity in Europe.
The project intends to exploit the potential of mobile services for promoting integration and cultural diversity in Europe, and is focusing on support for immigrants with particular needs e.g. those who have not learned foreign languages, and who have a cultural background that contrasts with that of their host country.
We will present the first iteration of an incidental learning framework developed within the Maseltov project. This framework is intended to facilitate the coordination of existing technologies, content, pedagogies, processes and practices into learning services that can be used effectively by immigrants, their networks and mentors so as to increase immigrants’ ability to function in an unfamiliar society. When fully developed, the framework is intended to support the design of learning experiences which show
(i) how incremental, opportunistic, social and game-based learning can be applied to immigrants problems, (ii) which content areas can be offered and combined (from among language, culture, information access, mobility, health care, etc.), and (iii) which technologies are best suited for each type of content and interaction.
A full description of the Incidental Learning Framework is provided by Brasher et al (2012).
Brasher, Andrew; Dunwell, Ian; Akiki, Oula and Gaved, Mark (2012). MASELTOV Deliverable D7.1.1: Incidental Learning Framework. MASELTOV Consortium, Graz, Austria. http://oro.open.ac.uk/39524/1/MASELTOV_D7.1.1_2012-09-02_IncidentalLearningFramework_final.pdf
Towards Universal Semantic Understanding of Natural LanguagesYunyao Li
Keynote talk at TextXD 2019(https://www.textxd.org)
Abstract:
Understanding the semantics of the natural language is a fundamental task in artificial intelligence. English semantic understanding has reached a mature state and successfully deployed in multiple IBM AI products and services, such as Watson Natural Language Understanding and Watson Compare and Comply. However, scaling existing products/services to support additional languages remain an open challenge. In this demo, we will present Polyglot, a multilingual semantic parser capable of semantically parsing sentences in 9 different languages from 4 different language groups into the same unified semantic representation. We will also showcase how such universal semantic understanding of natural languages can enable cross-lingual information extraction in concrete domains (e.g. insurance and compliance) and show promise towards seamless scaling existing NLP capabilities across languages with minimal efforts.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
The Personalization Challenge: Context and Culture Metadata for Mobile Learning
In this keynote, we addressed m-learning adaptation based on a standardized context description. The context description contains cultural, organization and individual factors as a base for adaptable and adaptive systems. This is used on the openscout project which is about adaptation of learning resources also in the international context.
Exploring Smartphone Applications for Effective Mobile-Assisted Language Lear...heyoungkim
Kim, H.,& Kwon, Y. (2012, June). "Exploring Smartphone Applications for Effective Mobile-Assisted Language Learning"
Paper presented at CACLIO 2012, University of Notredame, Indiana.
Supporting integration through incidental learningAndrew Brasher
The Maseltov project (“Mobile Assistance for Social Inclusion and Empowerment of Immigrants with Persuasive Learning Technologies and Social Network Services”, http://www.maseltov.eu/ ) project recognises major risks for social exclusion of immigrants and identifies the potential of mobile services for promoting integration and cultural diversity in Europe.
The project intends to exploit the potential of mobile services for promoting integration and cultural diversity in Europe, and is focusing on support for immigrants with particular needs e.g. those who have not learned foreign languages, and who have a cultural background that contrasts with that of their host country.
We will present the first iteration of an incidental learning framework developed within the Maseltov project. This framework is intended to facilitate the coordination of existing technologies, content, pedagogies, processes and practices into learning services that can be used effectively by immigrants, their networks and mentors so as to increase immigrants’ ability to function in an unfamiliar society. When fully developed, the framework is intended to support the design of learning experiences which show
(i) how incremental, opportunistic, social and game-based learning can be applied to immigrants problems, (ii) which content areas can be offered and combined (from among language, culture, information access, mobility, health care, etc.), and (iii) which technologies are best suited for each type of content and interaction.
A full description of the Incidental Learning Framework is provided by Brasher et al (2012).
Brasher, Andrew; Dunwell, Ian; Akiki, Oula and Gaved, Mark (2012). MASELTOV Deliverable D7.1.1: Incidental Learning Framework. MASELTOV Consortium, Graz, Austria. http://oro.open.ac.uk/39524/1/MASELTOV_D7.1.1_2012-09-02_IncidentalLearningFramework_final.pdf
Towards Universal Semantic Understanding of Natural LanguagesYunyao Li
Keynote talk at TextXD 2019(https://www.textxd.org)
Abstract:
Understanding the semantics of the natural language is a fundamental task in artificial intelligence. English semantic understanding has reached a mature state and successfully deployed in multiple IBM AI products and services, such as Watson Natural Language Understanding and Watson Compare and Comply. However, scaling existing products/services to support additional languages remain an open challenge. In this demo, we will present Polyglot, a multilingual semantic parser capable of semantically parsing sentences in 9 different languages from 4 different language groups into the same unified semantic representation. We will also showcase how such universal semantic understanding of natural languages can enable cross-lingual information extraction in concrete domains (e.g. insurance and compliance) and show promise towards seamless scaling existing NLP capabilities across languages with minimal efforts.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Thesis Statement for students diagnonsed withADHD.ppt
iiWAS2014 wahl
1. Exemplary Use Cases Based on the
Generic Data Model for the
Integrated Intelligent Computer-Assisted
Language Learning (iiCALL) Environment
Harald Wahl - UAS Technikum Wien
Werner Winiwarter - University of Vienna
iiWAS 2014
16th International Conference on Information Integration and Web-based Applications & Services
December 4-6, Hanoi, Vietnam
2. Agenda
What is iiCALL?
Requirements Engineering
Architecture 1.0
HL7 v3
iiCALL Generic Data Model 1.0
Use case Workgroup
3. What is iiCALL?
Computer-Assisted Language Learning (CALL)
– “the search for and study of applications of the computer in
language teaching and learning” Levy (1997)
Intelligent CALL (ICALL)
– CALL + NLP + AI
Our research additionally deals with integrated
environments
– Intelligent Integrated Computer-Assisted Language Learning
(iiCALL)
4. Requirements Engineering
Functional requirements (UML)
– Use Case Description
– Use Case Specification (Actors, Pre-condition, Post-
condition)
– Sequences
– Activities
– Classes
– …
9. Drawbacks
Inflexible wrt. to new functionalities
Change management is difficult
– Change of server database
– Change of client databases
WSDL spec. per scenario
10. Similar problems in e-health
Different software developer
Need of semantic interoperability
Standard HL7 (currently in version 3)
– Reference Information Model
11. HL7 Reference Information Model
Just a few core classes
Provides standards for data exchange to allow
interoperability between healthcare information systems
Act
Relationship
ParticipationRole
Role Link
ActEntity
A physical thing,
group of physical
things or an
organization capable
of participating in
Acts, while in a role.
A record of something
that is being done, has
been done, can be
done, or is intended or
requested to be done.
A competency of the Entity
playing the Role as
identified, defined,
guaranteed, or
acknowledged by the Entity
that Scopes the Role.
An association between an
Act and a Role with an Entity
playing that Role. Each
Entity (in a Role) involved in
an Act in a certain way is
linked to the act by one
Participation-instance.
Entity Role Participation Act
A connection between two
roles expressing a
dependency between those
roles.
A directed association
between a source act and a
target act.
Role Link Act Relationship
0..1
0..n
1
0..n
0..n
1
0..1
0..n
0..n 0..n
1 1
0..n 0..n
1 1
12.
13. Is there a similarity to language learning
Exemplary Use Cases
– Vocabulary trainer
– Cloze text
– Social translation
– Group work
– Entry-level tests
– Improve medical language skills (nursing staff)
– Train communication phrases (tourists, travelers)
– …
14. Vocabulary trainer
Involved:
– Learner, Skill level, Language to be learned, Text, Multiple
Choice Test, Result, Learning steps (workflow)
15. Generic data model 1.0
Entity:
– Learner: Person
– Language: Language
State:
– Learner’s skill level in specific language (beginner, advanced, …)
Role:
– Person in the role of learner
– Person in the role of trainer
– Language in the role of language to be learned
Participation / Activity / activity Relationship:
– Learner and language participate in vocabulary training
– Workflow of Vocabulary training consists of several process steps
Involved:
– Language Ressources, NLP Tools, …
Activity
Relationship
ParticipationRole
State
ActivityEntity
Connector
16. Generic data model 1.0
iiCALL GDM
Activity
Relationship
ParticipationRole
State
ActivityEntity
Connector
21. Use case “Workgroup”
“Person” is derived from the generic class „Entity“
“User” is derived from the generic class “Role”
"Moderator" is derived from the generic class "Role“
"GroupRights" is derived from the generic class "State“
"Workgroup" is derived from the generic class "Role“
"Invitation" is derived from the generic class "Activity"
22. Further steps
Done is Mapping of Use Cases to iiCALL GDM
– Use Case “Workgroup”
– Use Case “Grading test”
– Use Case “Login”
– Use Case “Chat”
To Do
– Mapping of additional use cases
– Implementation
– Testing user acceptance
23. Thank you for your attention
Harald Wahl
wahl@technikum-wien.at
http://staff.technikum-wien.at/~wahl