Personal Information
Entreprise/Lieu de travail
Minneapolis, Minnesota United States
Profession
Assistant Professor
Site Web
bodong.ch
À propos
Bodong Chen is an Assistant Professor in the College of Education and Human Development at the University of Minnesota, where he does research in learning technologies, learning analytics, and knowledge building.
Mots-clés
knowledge building
learning analytics
education
higher education
learning
lms
mooc
online learning
software
educational technology
ethics
values
design
edtech
annotation
china
teacher education
bibliometrics
data
social network analysis
conference
analytics
twitter
social media
environment
visualization
knowledge creation
evaluation
ict
oer
media
edmedia online education
Tout plus
- Présentations
- Documents
- Infographies
Computing Education as a Foundation for 21st Century Literacy
Mark Guzdial
•
il y a 5 ans
Transitioning Education’s Knowledge Infrastructure ICLS 2018
Simon Buckingham Shum
•
il y a 5 ans
Towards Contested Collective Intelligence
Simon Buckingham Shum
•
il y a 6 ans
Algorithmic Accountability & Learning Analytics (UCL)
Simon Buckingham Shum
•
il y a 7 ans
Using student data: Moving beyond data and privacy protection to student data sovereignty as basis for an ethics of care
University of South Africa (Unisa)
•
il y a 5 ans
Democratizing Data at Airbnb
Neo4j
•
il y a 6 ans
Black Box Learning Analytics? Beyond Algorithmic Transparency
Simon Buckingham Shum
•
il y a 6 ans
Natural Language Processing with Graph Databases and Neo4j
William Lyon
•
il y a 8 ans
Natural Language Processing with Neo4j
Kenny Bastani
•
il y a 10 ans
State and Directions of Learning Analytics Adoption (Second edition)
Dragan Gasevic
•
il y a 7 ans
Open Bades Action Lab
Ilona Buchem
•
il y a 7 ans
Quantifying Orphaned Annotations in Hypothes.is
maturban
•
il y a 8 ans
Big Education in the Era of Big Data－金國慶
台灣資料科學年會
•
il y a 8 ans
Experimental design
Dr.D.Kavitha Prabakar
•
il y a 10 ans
Rhetoric on Positivism and Interpretivism
Mehul Kanodia
•
il y a 11 ans
Taking R to the Limit (High Performance Computing in R), Part 2 -- Large Datasets, LA R Users' Group 8/17/10
Ryan Rosario
•
il y a 13 ans
ffbase, statistical functions for large datasets
Edwin de Jonge
•
il y a 10 ans
Developing Resilient Agency in Learning
Simon Buckingham Shum
•
il y a 8 ans