基本信息
views: 0
Career Trajectory
Bio
Tanja Käser is an assistant professor at the EPFL School of Computer and Communication Sciences (IC) and head of the D-VET laboratory. Her research lies at the intersection of machine learning, data mining, and education. She is particularly interested in creating accurate models of human behavior and learning.
Prior to joining EPFL, Tanja Käser was a senior data scientist with the Swiss Data Science Center at ETH Zurich. Before that, she was a postdoctoral researcher with the AAALab at the Graduate School of Education of Stanford University.
Tanja Käser received her PhD degree from the Computer Science Department of ETH Zurich. In her dissertation, completed at the Computer Graphics Laboratory, she focused on user modeling and data mining in education, which was honored with the Fritz Kutter Award 2015.
Prior to joining EPFL, Tanja Käser was a senior data scientist with the Swiss Data Science Center at ETH Zurich. Before that, she was a postdoctoral researcher with the AAALab at the Graduate School of Education of Stanford University.
Tanja Käser received her PhD degree from the Computer Science Department of ETH Zurich. In her dissertation, completed at the Computer Graphics Laboratory, she focused on user modeling and data mining in education, which was honored with the Fritz Kutter Award 2015.
Research Interests
Papers共 83 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Neil T. Heffernan,Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore,Adish Singla, Zach Pardos, Maciej Pankiewicz,Juho Kim,Shashank Sonkar, Clayton Cohn,Anthony Botelho,Andrew Lan, Lan Jiang,Mingyu Feng,Tanja Käser, Eamon Worden
Educational Data Mining (2024)
Cited0Views0EIBibtex
0
0
Elena Grazia Gado,Tommaso Martorella, Luca Zunino,Paola Mejia-Domenzain,Vinitra Swamy,Jibril Frej,Tanja Käser
Educational Data Mining (2024)
ARTIFICIAL INTELLIGENCE IN EDUCATION POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS, DOCTORAL CONSORTIUM AND BLUE SKY, AIED 2024, PT I (2024): 356-363
CoRR (2024)
Cited0Views0EIBibtex
0
0
ARTIFICIAL INTELLIGENCE IN EDUCATION, PT II, AIED 2024 (2024): 104-118
ARTIFICIAL INTELLIGENCE IN EDUCATION, PT I, AIED 2024 (2024): 482-496
ARTIFICIAL INTELLIGENCE IN EDUCATION POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS, DOCTORAL CONSORTIUM AND BLUE SKY, AIED 2024, PT I (2024): 382-390
Beatriz Borges,Negar Foroutan,Deniz Bayazit,Anna Sotnikova,Syrielle Montariol, Tanya Nazaretzky,Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant,Seyed Parsa Neshaei,Jibril Frej,Angelika Romanou,Gail Weiss,Sepideh Mamooler,Zeming Chen,Simin Fan,Silin Gao,Mete Ismayilzada,Debjit Paul,Philippe Schwaller, Sacha Friedli, Patrick Jermann,Tanja Käser,Antoine Bosselut, EPFL Grader Consortium, EPFL Data Consortium
Proceedings of the National Academy of Sciences of the United States of Americano. 49 (2024): e2414955121-e2414955121
arXiv (Cornell University) (2024)
Load More
Author Statistics
#Papers: 85
#Citation: 857
H-Index: 18
G-Index: 28
Sociability: 5
Diversity: 2
Activity: 38
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn