CORDIS

EU research results

CORDIS

Managing Affective-learning THrough Intelligent atoms and Smart InteractionS

Fact Sheet

Reporting

Results

Project information

MATHISIS

Grant agreement ID: 687772

Project website

Start date

1 January 2016
End date

31 March 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 7 569 030,38
EU contribution

€ 6 531 895

Coordinated by:

ATOS SPAIN SA

Spain

Objective

The MaTHiSiS learning vision is to provide a product-system for vocational training and mainstream education for both individuals with an intellectual disablity and non-diagnosed ones. This product-system consists of an integrated platform, along with a set of re-usable learning components (educational material, digital educational artefacts etc.), which will respond to the needs of a future educational framework, as drawn by the call, and provide capabilities for: i) adaptive learning, ii) automatic feedback, iii) automatic assessment of learner’s progress and behavioural state, iv) affective learning and v) game-based learning. To achieve these educational innovative goals, the MaTHiSiS project will introduce a novel methodology in the education process. The so-called learning graphs which, acting as a novel educational structural tool and associated with specific learning goals, will foster novel ways to guide how the different learning material and artefacts can be deployed throughout a prespecified learning scenario. The building materials of these graphs are drawn from a set of Smart Learning Atoms (SLAs) which will constitute the vertices of the graphs. SLAs are learning elements that carry stand-alone pieces of learning materials, targeting certain problems. More than one SLAs, working together on the same graph, will be able to help individuals reach their learning/training goals. The learning goals as well as the SLAs involved will be decided and pre-agreed based on common practices, goals derived from formal and non-formal education (general education, vocational training, lifelong training or specific skills learning) as well as learner’s own goals (so as to equally serve in-formal education contexts).

Programme(s)

H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Topic(s)

ICT-20-2015 - Technologies for better human learning and teaching

Call for proposal

H2020-ICT-2015

See other projects for this call

Funding Scheme

IA - Innovation action

Coordinator

ATOS SPAIN SA

Address

Calle De Albarracin 25
28037 Madrid

Spain

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

EU Contribution

€ 813 750

Website

Contact the organisation

Participants (17)

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DIGINEXT

France

EU Contribution

€ 774 375

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS

Greece

EU Contribution

€ 812 677,50

"NATIONAL CENTER FOR SCIENTIFIC RESEARCH ""DEMOKRITOS"""

Greece

EU Contribution

€ 149 375

THE NOTTINGHAM TRENT UNIVERSITY

United Kingdom

EU Contribution

€ 618 750

UNIVERSITY OF EAST LONDON

United Kingdom

EU Contribution

€ 228 125

UNIVERSITEIT MAASTRICHT

Netherlands

EU Contribution

€ 693 750

THE UNIVERSITY OF NOTTINGHAM

United Kingdom

EU Contribution

€ 237 500

VRIJE UNIVERSITEIT BRUSSEL

Belgium

EU Contribution

€ 298 125

FONDAZIONE MONDO DIGITALE

Italy

EU Contribution

€ 192 500

VIESOJI ISTAIGA SVIETIMO IR KULTUROS MOBILIUJU TECHNOLOGIJU INSTITUTAS

Lithuania

EU Contribution

€ 127 750

LA COMETA DEL SUD

Italy

EU Contribution

€ 142 763,50

NUROGAMES GMBH

Germany

EU Contribution

€ 318 500

CONSEJERIA DE EDUCACION DE LA JUNTA DE CASTILLA Y LEON

Spain

EU Contribution

€ 133 800

ETHNIKOS ORGANISMOS PISTOPIISIS PROSONTON & EPAGGELMATIKOU PROSANATOLISMOU

Greece

EU Contribution

€ 193 654

ISTITUTO COMPRENSIVO STATALE B. LORENZI FUMANE VR

Italy

EU Contribution

€ 205 625

AEROSPACE VALLEY

France

EU Contribution

€ 241 750

EDUCATIONAL OTE AE

Greece

EU Contribution

€ 349 125

Project information

MATHISIS

Grant agreement ID: 687772

Project website

Start date

1 January 2016
End date

31 March 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 7 569 030,38
EU contribution

€ 6 531 895

Coordinated by:

ATOS SPAIN SA

Spain

Project information

MATHISIS

Grant agreement ID: 687772

Project website

Start date

1 January 2016
End date

31 March 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 7 569 030,38
EU contribution

€ 6 531 895

Coordinated by:

ATOS SPAIN SA

Spain

Periodic Reporting for period 2 - MATHISIS (Managing Affective-learning THrough Intelligent atoms and Smart InteractionS)

Reporting period: 2017-07-01 to 2019-03-31

Summary of the context and overall objectives of the project

Everything we learn comes from experience. Good learning experience enables learners to achieve a desired outcome. In today’s classroom we have variable learners that require learning environments and learning experiences that match their individual needs and preferences. Schools are required to use a range of resources and teaching methods to enable every learner to achieve their full potentials. The introduction of technologies and a large availability of learning apps made student centered learning much more possible than ever before. The use of technology has a great impact on students’ engagement, learning and progress. It is widely accepted that technology in the classroom can be a great motivator for all learners. Rather than banning the use of technologies from classrooms we need to find a way of integrating it within teaching and learning and use it to students’ advantage.

MaTHiSiS which stands for ‘Managing Affective-learning THrough Intelligent atoms and Smart InteractionS’ is a project centered on exciting new software that promotes a new way of thinking about education and training. MaTHiSiS intends to provide high support for students increasing their engagement while learning, providing extra motivation and helping students with learning difficulties. MaTHiSiS works on tablets, phones, interactive whiteboards and personal computers – and even robots! Teachers and trainers can design their courses in the form of graphs where they attach the learning content with various difficulty levels. MaTHiSiS is able to provide each of their learners with a learning path matched to their individual skills and needs, personalised based on their individual profile and their previous learning achievement. MaTHiSiS monitors students’ progress and automatically adapts - via artificial intelligence features - as they interact with the system to suit their emotions and their abilities. The aim is to provide a unique personal experience tailored to each student specific needs, engage and motivate them to learn in new and more effective ways. See: www.mathisis-project.eu Twitter:@MaTHiSiSProject, Facebook:@mathisis.project.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

MaTHiSiS’ ambitious vision has been fulfilled by the end of the project’s lifetime through the delivery of a variety of multi-faceted integrated innovations, enabling goal-based, non-linear, affective, adaptive and user-centric micro-learning. The main goal of the project which was to build an anthropocentric platform, which would pragmatically focus on the needs, context and capacities of learners and subsequently adapt the learning process in a manner that maximizes learners’ engagement and thus supports the effectiveness of the learning experience, has been reached through the MaTHiSiS platform’s interconnected affect recognition, performance estimation and goal-based personalization & dynamic adaptation mechanisms. Moreover, the refined learning experience authoring tools and the robust learning analytics mechanism and interface provided by MaTHiSiS profoundly facilitate teachers, tutors and caregivers to understand their learners better and adjust their learning process more effectually and prolifically. Lastly, the platform’s realistically ubiquitous and transductive solutions for deploying learning experiences, with special attention to data security and privacy safeguarding, renders MaTHiSiS a powerful learning tool, able to adapt to a variety of learning contexts (formal, informal, non-formal education) and environments, learner types (from children to adults and from neurotypical to special abilities learners) and digital learning mediators (mobile, desktop, robot, etc.).

Apart from the MaTHiSiS platform as a whole, the project has delivered individual standalone components which function within the MaTHiSiS system but can also be commercialized separately. They are the following: Affect Recognition, Learning Games Creation Tool, Learning Content Editor and Learning Analytics and Visualization tools. The MaTHiSiS platform and the individual results have been packaged for their distribution and published under the MaTHiSiS Web site (http://www.mathisis-project.eu/results ). The initial steps towards commercial activities have already been initiated through the Trademarkt (™) registration and through distribution of the system and individual components through third party platforms and marketplaces (RAGE).

The project has been promoted through 1) the MaTHiSiS web site in seven languages (English, Spanish, Greek, French, Lithuanian, Italian, German); 2) peer communications directly - with over 10; remotely - with more than 90 SMEs providing educational tools and solutions. 3) targeted communication activities with 30 education/training representatives of public administration at a local, regional and national level, in order to invite and attract policy makers; 4) 31 skill acquisition events with training sessions targeting tutors/learners. 5) 9 special sessions/workshops co-located at conferences targeting developers /SMEs; 6) Presence at 4 tradeshows; 7) 2 hackathon events targeting developers’ community; 8) participation in more than 35 events representing the project, raising awareness among the general public, aiming to inform and invite diverse stakeholder groups ; 9) 9 publications in peer-review journals and 22 Publications on international conferences and workshops, focusing on initiating the thematic building throughout the academic communities. 10) Constantly feeding social networks, taking advantage of the MaTHiSiS consortium existing wide networks, thus broadcasting project’s value proposition; 11) Two promotional videos (https://www.youtube.com/watch?v=IEE3j4nr8-w and https://youtu.be/tbgGnj6LvTU); 12) Pilots with schools, industries and other educations organisations, involving all four MaTHiSiS cases (ASC, PMLD MEC, ITC and CGDLC), thus having the opportunity to engage schools, learners and tutors with the MaTHiSiS ecosystem, in a more systematic way.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

The main technological achievements of MaTHiSiS can be seen in the following list:
• A Cloud Learner Space (CLS)
• A robust goal-based learning experience design mechanism
• An elaborate authoring tool (Learning Content Editor - LCE).
• A sophisticated front-end for tutors and independent learners
• A privacy safeguarding and ethics-compliant User Space (US) in the CLS.
• A break-through Sensorial Component (SC).
• A cutting-edge component for affect recognition based on Interactions with the end user devices (platform agents) (IPA)
• Innovative research components for affect recognition based on keyboard/mouse interactions
• A highly innovative multimodal fusion mechanism (AIRlib),
• This mechanism enables a personalized reaction system (DSS).
• A non-linear learning scenario deployment engine (Learning Graph Engine - LGE)
• A sophisticated decision-making engine
• Support of a variety of learning user devices (platform agents – PAs)
• A cutting-edge synchronous collaboration component,
• Versatile front-end components (Experiencing Service (ES) clients – desktop and mobile
• A mechanism for knowledge transfer
• Lastly, around 130 Learning Materials have been delivered: 10 TurtleBot, 40 NAO, 54 Native Android and 28 Web-Based.

mathisis-logo-original-en-vectorial-v-cuadrada-v1-01.png

Project information

MATHISIS

Grant agreement ID: 687772

Project website

Start date

1 January 2016
End date

31 March 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 7 569 030,38
EU contribution

€ 6 531 895

Coordinated by:

ATOS SPAIN SA

Project information

MATHISIS

Grant agreement ID: 687772

Project website

Start date

1 January 2016
End date

31 March 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 7 569 030,38
EU contribution

€ 6 531 895

Coordinated by:

ATOS SPAIN SA

Spain

Deliverables

Documents, reports (61)

MaTHiSiS dissemination and communication plan activities report M24

This set of deliverables will report on the ongoing process of the dissemination and communication activities.

Full system architecture M6

This deliverable will include all technical details about the full MaTHiSiS system architecture as outcome of activities carried out in task 2.2

Report on Autism Spectrum Case pilots M23

This set of deliverables will provide details for the ACS pilots as well as report on the different measurable objectives set out for the specific pilots.

Report on Career Guidance Distance Learning M33

This set of deliverables will report on the outcomes of the activities conducted in task 9.2 and will provide details about the pilots related to the Career Guidance Distance learning.

Report on Mainstream Education Case pilots M16

This set of deliverables will provide details for the MEC pilots as well as report on the different measurable objectives set out for the specific pilots.

Report on monitoring of LEPOSA requirements M18

This deliverable will report on outcomes M18 of sub task 2.4.3 in the continuous monitoring of the impacts of the MaTHiSiS upon personal data protection, privacy, ethics and social acceptance (LEPOSA) requirements

Evaluation Strategy

This deliverable will present the outcomes of task 2.3 with detailed information about the phased evaluation strategy to be carried out in the project in particular for the 3 phases of the pilots deployment and the system’s evaluation strategy towards specific KPIs

MaTHiSiS Exploitation Plan (EP) M12

This deliverable will include the outcomes at M12 of Task 1.1. in relation to the strategy and plan for exploiting project results and the coordination of joint and individual exploitation efforts.

MaThiSiS sensorial component M12

This set of deliverables will provide details for the sensorial component of the MaTHiSiS system as result of activities in task 4.1. It will define the respective affect recognition algorithms that will be used and also detail on the implementation aspects. The initial version to be submitted in M12 will provide an overview of the work in progress of task 4.1 and its outcomes at the time of submission.

Report on Career Guidance Distance Learning pilots M23

This set of deliverables will report on the outcomes of the activities conducted in task 9.2 and will provide details about the pilots related to the Career Guidance Distance learning.

Multimodal learning analytics M33

This deliverable will provide details for the fusing mechanism of information gathered from the sensorial component and the contextual processing, as result of the activities carried out in task 4.3.

The MaTHiSiS Learning Graph Engine M33

This deliverable will provide details for the learning graphs integration into the MaTHiSiS system.

Description of the interactive whiteboards layer M12

This set of deliverables will report on the outcomes of the activities of task 5.3 with details about the interactive whiteboards as platform agents supporting the interaction with the MaTHiSiS system (report and software artefacts). The initial version to be submitted in M12 will provide an overview of the work in progress of task 5.3 and its outcomes at the time of submission.

MaTHiSiS Frontend Component M33

This deliverable will report on the details of the implementation of the MaTHiSiS Frontend Component as results of task 3.5. (report and software artefacts)

Report on transferable lessons from industrial and Career Guidance pilots

This deliverable will report on the overall impact of the pilots in regards with the KPIs set out by the project and the transferable lessons learnt from the pilots.

Description of the mobile layer M21

Report on Autism Spectrum Case pilots M33

This set of deliverables will provide details for the ACS pilots as well as report on the different measurable objectives set out for the specific pilots.

Affect Understanding in MaTHiSiS M33

This deliverable will provide details for the developed methodologies for associating scenario-related features to affective and/or cognitive learner responses, as outcomes from the activities conducted in task 4.2

MaTHiSiS community building plans and results M36

This deliverable will report on the results of community building process and also details for the community building plan

Description of the robotic layer M21

Report on transferable lessons from Educational Pilots

This deliverable will report on the overall impact of the pilots in regards with the KPIs set out by the project and the transferable lessons learnt from the pilots.

Synchronous and Asynchronous collaboration among platform agents M24

This deliverable will provide details for the way the different platform agents will perform actions to support the achievement learning goals. Moreover, knowledge sharing procedures will be detailed in this deliverable.

MaTHiSiS Frontend Component M24

This deliverable will report on the details of the implementation of the MaTHiSiS Frontend Component as results of task 3.5. (report and software artefacts)

MaThiSiS dissemination and communication plan

This deliverable will provide the detailed dissemination and communication plan.

Report on Industrial Training pilots M23

This set of deliverables will report on the outcomes of the activities conducted in task 9.1 and will provide details about the Industrial training pilots and the measurements in place to evaluate their impact.

Report on Mainstream Education Case pilots M23

This set of deliverables will provide details for the MEC pilots as well as report on the different measurable objectives set out for the specific pilots.

Learners’s Profile Repository M24

This deliverable will report on the details of the implementation of the MaTHiSiS Learner’s Profile Repository as results of task 3.4. (report and software artefacts)

Description of the robotic layer M12

This set of deliverables will report on the outcomes of the activities of task 5.1 with details of the robot agents supporting the interaction with the MaTHiSiS system (report and software artefacts). The initial version to be submitted in M12 will provide an overview of the work in progress of task 5.1 and its outcomes at the time of submission.

Report on Industrial Training pilots M16

Learner’s Profile Repository M12

This deliverable will report on the details of the implementation of the MaTHiSiS Learner’s Profile Repository as results of task 3.4. (report and software artefacts)

Report on Profound and Multiple Learning Disabilities Case pilots M33

This set of deliverables will provide details for the PMLD pilots as well as report on the different measurable objectives set out for the specific pilots.

MaTHiSiS sensorial component M18

The MaThiSiS Smart Learning Atoms M24

This set of deliverables will report on the details of the implementation of SLAs as results of task 3.1. (report and software artefacts)

Description of the mobile layer M12

This set of deliverables will report on the outcomes of the activities of task 5.2 with details of the mobile agents supporting the interaction with the MaTHiSiS system (report and software artefacts). The initial version to be submitted in M12 will provide an overview of the work in progress of task 5.2 and its outcomes at the time of submission.

MaThiSiS community building plans and results M18

This deliverable will report on the results of community building process and also details for the community building plan

Adaptation and Personalization principles based on MaThiSiS findings

D6.1 Adaptation and Personalization principles based on MaThiSiS findings

Report on Career Guidance Distance Learning pilots M16

This set of deliverables will report on the outcomes of the activities conducted in task 9.2 and will provide details about the pilots related to the Career Guidance Distance learning.

the MaTHiSiS Smart Learning Atoms M12

This deliverable will report on the details of the implementation of SLAs as results of task 3.1. (report and software artefacts)

Experience Engine M24

This deliverable will report on the details of the implementation of the MaTHiSiS Experience Engine as results of task 3.3. (report and software artefacts)

MaThiSiS dissemination and communication plan activities report M12

This set Of deliverables will report on the ongoing process of the dissemination and communication activities.

The MaThiSiS Learning Graphs M24

This deliverable will report on the details of the implementation of the MaTHiSiS Learning Graphs as results of task 3.2. (report and software artefacts)

Report on monitoring of LEPOSA re-quirements M36

This deliverable will report on outcomes M36 of sub task 2.4.3 in the continuous monitoring of the impacts of the MaTHiSiS upon personal data protection, privacy, ethics and social acceptance (LEPOSA) requirements

Report on Autism Spectrum Case pilots M16

This set of deliverables will provide details for the ACS pilots as well as report on the different measurable objectives set out for the specific pilots.

Formation of stakeholder groups

This deliverable will report on the activitities related to task 2.1 in relation to the all types of stakeholders involved in MaTHiSiS, in order to define learning goals and the conditions required for their achievement.

Affect Understanding in MaThiSiS M21

Description of the mobile layer M33

Report on Industrial Training pilots M33

Report on Profound and Multiple Learning Disabilities Case pilots M16

This set of deliverables will provide details for the PMLD pilots as well as report on the different measurable objectives set out for the specific pilots.

The MaTHiSiS Learning Graph Engine M24

This deliverable will provide details for the learning graphs integration into the MaTHiSiS system.

Report on Profound and Multiple Learning Disabilities Case pilots M23

This set of deliverables will provide details for the PMLD pilots as well as report on the different measurable objectives set out for the specific pilots.

Exploitation, business and commercialization plan

This deliverable will include the outcomes M36 of Task 1.1. in relation to the strategy and plan for exploiting project results and the coordination of joint and individual exploitation efforts.

the MaTHiSiS Learning Graphs M12

This deliverable will report on the details of the implementation of the MaTHiSiS Learning Graphs as results of task 3.2. (report and software artefacts)

Synchronous and Asynchronous collaboration among platform agents M33

Description of the robotic layer M33

Multimodal learning analytics M21

This deliverable will provide details for the fusing mechanism of information gathered from the sensorial component and the contextual processing, as result of the activities carried out in task 4.3.

MaTHiSiS dissemination and communication plan activities report

This set f deliverables will report on the ongoing process of the dissemination and communication activities.

MaTHiSiS Exploitation Plan (EP) M24

This deliverable will include the outcomes M24 of Task 1.1. in relation to the strategy and plan for exploiting project results and the coordination of joint and individual exploitation efforts.

Experience Engine M12

This deliverable will report on the details of the implementation of the MaTHiSiS Experience Engine as results of task 3.3. (report and software artefacts)

Full system architecture M15

This deliverable will include all technical details about the full MaTHiSiS system architecture as outcome of activities carried out in task 2.2

Full scenarios of all use cases

This deliverable will provide details for the use cases as well as the specific scenarios (pilots) that will run throughout the lifespan of MaTHiSiS project

Description of the interactive whiteboards layer M21

Other (5)

Learning Games Programming Tool Commercial package

This deliverable includes detailed information of the commercialization plans for Learning Games Programming Tool and also include the outcomes of task 1.3 in relation to the packing and advertisement activities.

Affect Recognition Software Commercial package

This deliverable includes detailed information of the commercialization plans for Affect Recognition Software and also include the outcomes of task 1.3 in relation to the packing and advertisement activities.

MaTHiSiS Software Platform Commercialitation Package

This deliverable includes detailed information of the commercialization plans for MaTHiSiS Software Platform and also include the outcomes of task 1.3 in relation to the packing and advertisement activities.

Educational Material Creation Tool Commercial package

This deliverable includes detailed information of the commercialization plans for Educational Material Creation Tool and also include the outcomes of task 1.3 in relation to the packing and advertisement activities.

Learning Analytics & Visualisation Tool Commercial package

This deliverable includes detailed information of the commercialization plans for Learning Analytics & Visualisation Tool and also include the outcomes of task 1.3 in relation to the packing and advertisement activities.

Open Research Data Pilot (2)

Data Management Action Plan M18

This deliverable describes plan for Open Research Data policy

Data Management Action Plan M6

Describes plan for Open Research Data policy

Websites, patent fillings, videos etc. (1)

Demonstrators, pilots, prototypes (2)

MaThiSiS platform, 1st release

This deliverable will report on the details of the first release of the MaTHiSiS platform according to the outcomes of the task 7.2. (report and software artefacts)

MaThiSiS platform, 2nd release

This deliverable will report on the details of the second release of the MaTHiSiS platform according to the outcomes of the task 7.3. (report and software artefacts)

Publications

Conference proceedings (7)

Deep Affordance-grounded Sensorimotor Object Recognition

Author(s): Spyridon Thermos, Georgios Th. Papadopoulos, Petros Daras, Gerasimos Potamianos

Published in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017, Issue July 21-26, 2017, 2017

Recognizing Emotional State Changes Using Speech Processing

Author(s): Reza Ashrafidoost, Saeed Setayeshi, Arash Sharifi

Published in: 2016 European Modelling Symposium (EMS), 2016, Page(s) 41-46, ISSN 2473-3539

DOI: 10.1109/EMS.2016.017

Modelling Learning Experiences in adaptive multi-agent learning environments

Author(s): Dorothea Tsatsou, Nicholas Vretos and Petros Daras

Published in: VS GAMES 2017, Issue September 6-8, 2017, 2017

Affect State Recognition for Adaptive Human Robot Interaction in Learning Environments

Author(s): Dimitrios Antonaras, Charis Pavlidis, Nicholas Vretos and Petros Daras

Published in: 12th International Workshop on Semantic and Social Media Adaptation and Personalization – SMAP 2017, Issue July 9-10, 2017, 2017

Extracting Emotions from Speech using a Bag-of-Visual-Words Approach

Author(s): E. Spyrou, T. Giannakopoulos, D. Sgouropoulos, F. Makedon

Published in: In Proc. of Int’l Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) 2017, Issue July 9-10, 2017, 2017

High-performance and Lightweight Real-time Deep Face Emotion Recognition

Author(s): J. Schwan, E. Ghaleb, E. Hortal, S. Asteriadis

Published in: 12th International Workshop on Semantic and Social Media Adaptation and Personalization – SMAP 2017, Issue July 9-10, 2017, 2017

Multimodal Fusion Based on Information Gain for Emotion Recognition in the Wild

Author(s): E. Ghaleb, M. Popa, E. Hortal, S. Asteriadis

Published in: Intelligent Systems Conference (IntelliSys 2017), Issue 7 and 8 September 2017, 2017

Peer reviewed articles (1)

Deep Visual Attributes vs. Hand-Crafted Audio Features on Multidomain Speech Emotion Recognition

Author(s): Michalis Papakostas, Evaggelos Spyrou, Theodoros Giannakopoulos, Giorgos Siantikos, Dimitrios Sgouropoulos, Phivos Mylonas, Fillia Makedon

Published in: Computation, Issue 5/2, 2017, Page(s) 26, ISSN 2079-3197

DOI: 10.3390/computation5020026

Project information

MATHISIS

Grant agreement ID: 687772

Project website

Start date

1 January 2016
End date

31 March 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 7 569 030,38
EU contribution

€ 6 531 895

Coordinated by:

ATOS SPAIN SA

Project information

MATHISIS

Grant agreement ID: 687772

Project website

Start date

1 January 2016
End date

31 March 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 7 569 030,38
EU contribution

€ 6 531 895

Coordinated by:

ATOS SPAIN SA

Spain

Project information

MATHISIS

Grant agreement ID: 687772

Project website

Start date

1 January 2016
End date

31 March 2019

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 7 569 030,38
EU contribution

€ 6 531 895

Coordinated by:

ATOS SPAIN SA

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Last update: 4 March 2020

Record number: 200053

Permalink: https://cordis.europa.eu/project/rcn/200053/en

CORDIS

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Periodic Reporting for period 2 - MATHISIS (Managing Affective-learning THrough Intelligent atoms and Smart InteractionS)

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