Personal Information
Organización/Lugar de trabajo
Cologne, NRW Germany
Ocupación
Research group leader
Sector
Education
Sitio web
www.dimstudio.org
Acerca de
Daniele Di Mitri is a research group leader at the EduTec group at DIPF Leibniz Institute for Research and Information in Education. Daniele received his PhD title at the Open University of The Netherlands (2016-2020) in Learning Analytics. His PhD project, the Multimodal Tutor, investigated the potentials of collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. He was elected as AI Newcomer 2021 at the KI Camp by the German informatics society and received the Martin Wolpers Award in the field of technology-enhanced learning 2018. Daniele’s current research focus lies in designing Responsible AI applications for education.
Etiquetas
learning analytics
sensors
multimodal
machine learning
multimodal data
education
artificial intelligence
phd
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analytics
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europe
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summer school
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digitalprojection
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lda
topic modelling
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natural language processing
video annotation
semantic video analysis
probabilistic models
skip-gram
word2vec
word representation
neural networks
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ai
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battlecode
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Presentaciones
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Wearable Experience: New Educational Media for Knowledge Intensive Training
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DELICATE checklist - to establish trusted Learning Analytics
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Dutch Cooking with xAPI Recipes, The Good, the Bad, and the Consistent
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10 more lessons learned from building Machine Learning systems
Xavier Amatriain
•
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Truth is a Lie - 7 Myths of Human Annotation
Anca Dumitrache
•
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Revealing spatial and temporal patterns from Flickr photography: a case study with tourists in Amsterdam
Sander van der Drift
•
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Grand Challenges Learning Analytics
amberg
•
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uts-learning-futures-learning-analytics
Simon Buckingham Shum
•
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Personal Information
Organización/Lugar de trabajo
Cologne, NRW Germany
Ocupación
Research group leader
Sector
Education
Sitio web
www.dimstudio.org
Acerca de
Daniele Di Mitri is a research group leader at the EduTec group at DIPF Leibniz Institute for Research and Information in Education. Daniele received his PhD title at the Open University of The Netherlands (2016-2020) in Learning Analytics. His PhD project, the Multimodal Tutor, investigated the potentials of collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. He was elected as AI Newcomer 2021 at the KI Camp by the German informatics society and received the Martin Wolpers Award in the field of technology-enhanced learning 2018. Daniele’s current research focus lies in designing Responsible AI applications for education.
Etiquetas
learning analytics
sensors
multimodal
machine learning
multimodal data
education
artificial intelligence
phd
learning
analytics
fitbit
nlp
europe
obessu
nyu
guest presentation
context
keynote
site interactive
smart city
pythorch
smart mobility
smartphone
phd defence
presentatiom
graduation
defence
real-time
aied
cpr
doctoral consortium
simulation
medical
data
pipeline
multimoda
intelligent tutors
tutorial
signal processing
visual inspection
pitch
multimiodal
social signals
iot
robots
experiments
summer school
computers
pulse
dashboard
theoretical
framework
digitalprojection
wearables
learning pulse
wekit
academic writing
latex
multi-modal data collection
wearable learning
predictive learning analytics
mixed effect models
prediction
text-mining
ontology engineering
lda
topic modelling
text mining
natural language processing
video annotation
semantic video analysis
probabilistic models
skip-gram
word2vec
word representation
neural networks
nn
agent
ai
opponent+modelling
battlecode
open education
skills
learning analitics
formazione a distanza
presentazione
tesi+triennale
campaign
cyv
vet
education school resources oecd obessu
opening-up
commission
eu
Ver más