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Towards Personal infrastructure to manage long term open learner models

Jean-Marie Gilliot, Nour El Mawas, Serge Garlatti
2016 User Modeling, Adaptation, and Personalization  
We propose to focus on a relevant technical infrastructure giving full personal control to users in order to manage Open Learner Models in lifelong and life wide perspectives.  ...  This work is dedicated for all lifelong learners without any specific IT competency to manage their own personal learning data in a lifelong perspective.  ...  We propose to focus on a relevant technical infrastructure giving full personal control to users in order to manage Open Learner Models in a lifelong and life wide perspective.  ... 
dblp:conf/um/GilliotMG16 fatcat:f7nfqmsclvh2rmlwehod2dne6u

Scrutable Learner Modelling and Learner Reflection in Student Self-assessment [chapter]

Judy Kay, Lichao Li
2006 Lecture Notes in Computer Science  
We propose a new way for a long term personal learner model to support such learning by helping people answer the question: Am I meeting my lifelong life-wide goals?  ...  There are increasingly diverse and large sources of data about our long-term and life-wide learning.  ...  Acknowledgements We thank the anonymous reviewers for their valuable feedback on the earlier version of the paper. This has informed a richer discussion of the challenges and opportunities.  ... 
doi:10.1007/11774303_93 fatcat:f35uflebdfe7ph4yfmv3hgsjni

Enabling people to harness and control EDM for lifelong, life-wide learning

Judy Kay
2016 Educational Data Mining  
This paper takes a humancentred view of EDM for lifelong, life-wide learning, where EDM enables people to harness that data. This view includes formal education.  ...  But it goes beyond that, to the complex, multi-faceted, ill-defined and long-term learning needed to work towards the most important goals in our broader lives.  ...  For life-long goals for good health, Mykola's learner model needs to be kept over the long term, accumulating and mining data from many sensors.  ... 
dblp:conf/edm/Kay16a fatcat:6xf2sursifd3rfbgzu6nulpriu

Towards a Self-Regulated Learning in a Lifelong Learning Perspective

Nour El Mawas, Jean-Marie Gilliot, Serge Garlatti, Patricia Serrano Alvarado, Hala Skaf-Molli, Jérôme Eneau, Genevieve Lameul, Jacques-Francois Marchandise, Hugues Pentecouteau
2017 Proceedings of the 9th International Conference on Computer Supported Education  
The Self-Regulated Learning is carried out using Semantic Open Learner Models. We illustrate our process through some services examples.  ...  This work is dedicated to the Lifelong Learning active community and more specifically to researchers in Technology Enhanced Learning, pedagogical engineers, and learners who meets difficulties in integrating  ...  ., personal learning data from various heterogeneous sources with semantic enhancement. Semantic models will enable long term management and a certain level of trust for collaborative services.  ... 
doi:10.5220/0006387506610670 dblp:conf/csedu/MawasGGSSELMP17 fatcat:yjicg7ekhfbtvfey2ziqfz7vdi

Towards Supporting Awareness for Content Curation: The Case of Food Literacy and Behavioural Change

Roberto Martínez Maldonado, Theresa D. Anderson, Simon Buckingham Shum, Simon Knight
2016 International Conference on Learning Analytics and Knowledge  
The paper aims at triggering discussion about the type of data and presentation mechanisms that may help life-long learners set a stronger basis for behavioural change in the subsequent stages.  ...  We explore the role that learning analytics and/or open learner models can have in supporting lifelong learners to enhance their food literacy through a more informed curation process of relevant-content  ...  FUTURE WORK This paper aims to trigger discussion about the type of data and presentation mechanisms that may help life-long learners set a stronger basis for behavioural change in the subsequent stages  ... 
dblp:conf/lak/MaldonadoASK16 fatcat:cle3rzjryvdbzgwgzv5blhagxi

e-Portfolio Standardization for Sustainable Learning Communities

Jin Gon Shon
2011 AAOU Journal  
It can efficiently support a learner to manage his or her learning history and keep on learning more to move on to the next level in life so that the learning community becomes more sustainable.  ...  For example, it is very difficult to keep the portfolio in the original form physically, and it requires a lot of time and effort to keep it updated.  ...  CareerNet provides functions such as recording personal data generated in career research and career examination. It stores them for a long time and users can use and manage their data easily.  ... 
doi:10.1108/aaouj-06-01-2011-b004 fatcat:sv2y6dqenjdfddcmkeae62gwdy

Learner Model's Utilization in the E-Learning Environments

Vija Vagale, Laila Niedrite
2012 International Baltic Conference on Databases and Information Systems  
For the system to be able to perceive and analyze user activities correctly, is necessary to define what kind of information about the learner has to be saved.  ...  In this kind of systems information about learner is saved in the learner model also known as the user model and student model.  ...  for the learner, and (d) by data life-cycle in the user model.  ... 
dblp:conf/balt/VagaleN12 fatcat:lpthnx3bdngmhc5uxczyuudtjq

Whither or wither the AI of AIED?

Judy Kay
2015 International Conference on Artificial Intelligence in Education  
The paper argues that we have accepted work with no AI, notably in Open Learner Modelling. We discourage, either directly or just because of our name, work that is true to the AIED founders' vision.  ...  In doing so, we miss many exciting and promising ways to create better technology for education.  ...  All have data about learners and it is widely recognized that this data is important for informing the learning. Should we call that data a learner model? Why not?  ... 
dblp:conf/aied/Kay15 fatcat:agew34cfzbf2flybip6exflypa

Privacy and personalisation in a smart space for learning

Tomaz Klobucar, Vanja Senicar, Borka Jerman Blazic
2004 International Journal of Continuing Engineering Education and Life-Long Learning  
We present privacy threats and requirements in smart spaces for learning with focus on a learner, we model learner profile data that are necessary for privacy protection, and propose privacy-enhancing  ...  A smart space for learning is a system for mediation of learning services, which is being developed in the EU IST ELENA project.  ...  We especially thank Peter Dolog for providing Figure 2 and for the discussion that led to several improvements, and Bernd Simon.  ... 
doi:10.1504/ijceell.2004.005728 fatcat:ll5w6umojverpbuntlpwt5icme

Coming of age: celebrating a quarter century of user modeling and personalization: Guest editors' introduction

Judy Kay, Gord McCalla
2012 User modeling and user-adapted interaction  
collaborative learner modeling; and long term learner modeling.  ...  McCalla has published widely in both AIED and UMAP, and has a long record of service to both research communities.  ...  She received her Ph.D. in Computer Science from the University of Sydney. Her personalisation research explores ways to ensure that people can maintain control over their user model and its use.  ... 
doi:10.1007/s11257-011-9113-9 fatcat:gzblvzljsvefxhgi5kayuxezyy

Web-service architecture for tools supporting lifelong e-learning platforms

Aleksandar Dimov, Krassen Stefanov
2009 International Journal of Continuing Engineering Education and Life-Long Learning  
It is widely recognized that modern European society needs adequate means for lifelong adapted access to facilities that support the creation, storage, use and exchange of formal and informal knowledge  ...  The paper presents a reusable and extensible service-oriented architecture that supports implementation of different tools that support life-long eLearning platforms.  ...  called buddies) • personal data • preferred types of learning resources Overview Tool The goal of the OverView Tool (OVT) is to enrich users' experience by providing data models which will allow more  ... 
doi:10.1504/ijceell.2009.028830 fatcat:vajg6so4hzce3ps3wqnpgt7a4i

Lifelong Learner Modeling for Lifelong Personalized Pervasive Learning

J. Kay
2008 IEEE Transactions on Learning Technologies  
The paper argues that this has a key role for a vision of personalized lifelong learning and for augmented cognition that enables learners to supplement their own knowledge with readily accessible digital  ...  This paper presents a vision for the lifelong user model as a first class citizen, existing independently of any single application and controlled by the learner.  ...  ACKNOWLEDGMENTS This paper draws on many discussions with colleagues and students, notably, Bob Kummerfeld for systems aspects and Kalina Yacef for educational data mining.  ... 
doi:10.1109/tlt.2009.9 fatcat:ibxex4xpbbeolimikvufd4ro6y

GVIS: An Integrating Infrastructure for Adaptively Mashing up User Data from Different Sources

Luca Mazzola, Riccardo Mazza
2010 2010 14th International Conference Information Visualisation  
In this article we present an infrastructure for creating mash up visual representations of the user profile that combines data from different sources.  ...  We explored this approach in the context of Life Long Learning, where different platforms or services are often used to support the learning process.  ...  Acknowledgments This work was partially supported by EU FP7 project GRAPPLE (215434) [13] The authors would like to thank all the project partners.  ... 
doi:10.1109/iv.2010.19 dblp:conf/iv/MazzolaM10 fatcat:7lelm2fkqrcuvcgu2f72k7jpru

Online personal learning environments: structuring electronic portfolios for lifelong and life‐wide learning

Helen C. Barrett, Nathan Garrett, Jonathon Richter
2009 On the Horizon  
the lifespan, from schools to universities to the workplace.  ...  This paper invites discussion of the theoretical foundation for a long-term research proposal, a proposed implementation plan and evaluation study.  ...  a lifelong, life wide approach to this new model of digital archive/electronic portfolios.  ... 
doi:10.1108/10748120910965511 fatcat:pq3abaxpfndujlfdkuy4psyqkm

AI Grand Challenges for Education

Beverly Park Woolf, H. Chad Lane, Vinay K. Chaudhri, Janet L. Kolodner
2013 The AI Magazine  
; and (5) lifelong and life-wide learning.  ...  It describes five challenges that would support: (1) mentors for every learner; (2) learning twenty-first century skills; (3) interaction data to support learning; (4) universal access to global classrooms  ...  Universal access to global classrooms; and 5. Lifelong and life-wide learning.  ... 
doi:10.1609/aimag.v34i4.2490 fatcat:trxpwhdczvbfldgw3vvqfu7vre
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