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Managing Affective-learning THrough Intelligent atoms and Smart InteractionS

Deliverables

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

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).

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

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).

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

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.

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

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.

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

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

Description of the mobile layer M33

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).

Report on Industrial Training pilots M33

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 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

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.

Description of the robotic layer M33

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).

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

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).

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.

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

MaThiSiS web-site

This deliverable is the project’s web-site (software artefact)

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

State Diagram for Affective Learning in an Educational Platform

Author(s): Mohammad Taheri, David Brown, Penny Standen, Nasser Sherkat, Caroline Langensiepen, Georgina Cosma.
Published in: International Conference on Disability, VR and Associated Technology, 2018, Nottingham UK., Issue September 2018, 2018
Publisher: International Conference on Disability, VR and Associated Technology, 2018, Nottingham UK.

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
Publisher: N/A

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
Publisher: Springer

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
Publisher: IEEE

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
Publisher: IEEE

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
Publisher: IEEE

Personalized, Affect and Performance-driven Computer-based Learning

Author(s): Christos Athanasiadis, Enrique Hortal, Dimitrios Koutsoukos, Carmen Zarco Lens, Stylianos Asteriadis
Published in: Proceedings of the 9th International Conference on Computer Supported Education, Issue April 23-25, 2017, 2017, Page(s) 132-139, ISBN 978-989-758-239-4
Publisher: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0006331201320139

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
Publisher: IEEE
DOI: 10.1109/EMS.2016.017

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
Publisher: N/A

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
Publisher: MDPI
DOI: 10.3390/computation5020026

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