• Aucun résultat trouvé

III. INTERNATIONAL WORKSHOP ON AFFECT, META-AFFECT, DATA AND LEARNING (AMADL 2015)

N/A
N/A
Info
Télécharger
Protected

Academic year: 2022

Partager "III. INTERNATIONAL WORKSHOP ON AFFECT, META-AFFECT, DATA AND LEARNING (AMADL 2015)"

Copied!
1
0
0

Chargement.... (Voir le texte intégral maintenant)

Texte intégral

(1)

i

Preface

Emotions and affect play an important role in learning. There are indications that meta-affect (i.e., knowledge about self-affect) also plays a role. There have been vari- ous attempts to take them into account both during the design and during the deploy- ment of AIED systems. The evidence for the consequential impact on learning is be- ginning to strengthen, but the field has been mostly focused on addressing the com- plexities of affective and emotional recognition and very little on how to intervene.

This has largely slowed down progress in this area.

Research is needed to better understand how to respond to what we detect and how to relate that to the learner’s cognitive and meta-cognitive skills. One goal might be to design systems capable of recognizing, acknowledging, and responding to learners’

states with the aim of promoting those that are conducive to learning by means of tutorial tactics, feedback interventions, and interface adaptations that take advantage of ambient intelligence, among others. Therefore, we need to deepen our knowledge of how changes in learners’ affective states and associated emotions relate to issues such as cognition and the learning context.

The papers submitted to the workshop address issues that bridge the existing gap be- tween previous research with the ever-increasing understanding and data availability.

In particular, these papers report progress on issues relevant to the broad and interdis- ciplinary AIED and EDM communities. AMADL 2015 workshop raises the oppor- tunity to bring these two communities together in a lively discussion about the overlap in the two fields. To achieve this, we explicitly address and target both com- munities, as indicated by the workshop’s organizers background and the programme committee set up. This workshop builds on the work done in affect related workshops in past AIED conferences, such as Modelling and Scaffolding Affective Experiences to Im- pact Learning in AIED 2007. The format of the workshop is based on presentations, demonstrations and discussions according to themes addressed by the papers accepted for the workshop.

Genaro Rebolledo-Mendez, Manolis Mavrikis, Olga C. Santos, Benedict du Bou- lay, Beate Grawemeyer and Rafael Rojano-Cáceres

Workshop Co-Chairs

Références

Télécharger maintenant ( PDF - 1 Page - 59.56 KB )

Documents relatifs

Preface to the First International Workshop on Supporting Lifelong Learning

The workshop will provide an opportunity to discuss areas like social recommendation, adaptive technologies, collaborative tools, persuasive strategies, learning analytics

Preface: The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR)

Kotthoff, “Proposal for the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR),” in Proceedings of the 41st European Conference

III. INTERNATIONAL WORKSHOP ON AFFECT, META-AFFECT, DATA AND LEARNING (AMADL 2015)

To understand this better we need to investigate more the different types of problem solving support and their combi- nation with affective feedback that can act both as a way

Opportunities and Challenges in Generalizable Sensor-Based Affect Recognition for Learning

Using the study data, we sought to repro- duce prior affect recognition findings by inducing models that leveraged pos- ture-based predictor features that had previously

Volume 7: International Workshop on Affect, Meta-Affect, Data and Learning (AMADL 2015)

To understand this better we need to investigate more the different types of problem solving support and their combi- nation with affective feedback that can act both as a way

5th International Workshop on Personalization Approaches in Learning Environments (PALE 2015): Preface

In this workshop edition we drew attention to sharing and discussing the current research on how user modeling and associated artificial intelligent techniques contex- tualize

affect economic growtH in

A critical question therefore is how the health and disability of older people impacts economic growth and whether the potential adverse economic effects described above can

affect economic growtH in

GDP growth attributable to a 5% improvement in disability rates among older population (55–69 years) compared to 2017 baseline disability rates, projections (2020–2100)..