Tanja Käser

Tanja Käser is an assistant professor at the EPFL School of Computer and Communication Sciences (IC) and head of the ML4ED 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.

Publications

Infoscience publications

2024

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

I. Salles; P. Mejia; V. Swamy; J. Blackwell; T. Käser

2024-06-14. The 25th Conference on Artificial Intelligence in Education (AIED), Recifé, Brazil, July 8-12, 2024.

Tanja Käser

Biography

Publications

Infoscience publications

2024

Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection

InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

GELEX: Generative AI-Hybrid System for Example-Based Learning

Evaluating the Impact of Learner Control and Interactivity in Conversational Tutoring Systems for Persuasive Writing

Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

Fashioning Creative Expertise with Generative AI: Graphical Interfaces for GAN-Based Design Space Exploration Better Support Ideation Than Text Prompts for Diffusion Models

2023

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

Simulated Learners in Educational Technology: A Systematic Literature Review and a Turing-like Test

Consistency of Inquiry Strategies Across Subsequent Activities in Different Domains

Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration

Trusting the Explainers: Teacher Validation of Explainable Artificial Intelligence for Course Design

Understanding Revision Behavior in Adaptive Writing Support Systems for Education

MultiModN- Multimodal, Multi-Task, Interpretable Modular Networks

How Close are Predictive Models to Teachers in Detecting Learners at Risk?

The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations

Co-Designing a Teacher Tool for Visualizing Self-Regulated Learning Behaviors

2022

Improving Students Argumentation Learning with Adaptive Self-Evaluation Nudging

Maschinelles Lernen zur Förderung von höheren Kompetenzen

Evolutionary Clustering of Apprentices' Self- Regulated Learning Behavior in Learning Journals

Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms

Generalisable Methods for Early Prediction in Interactive Simulations for Education

Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs

Meta Transfer Learning for Early Success Prediction in MOOCs

Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling

Ripple: Concept-Based Interpretation for Raw Time Series Models in Education

Introducing Productive Engagement for Social Robots Supporting Learning

Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling

How We Use Wikipedia: Studying Readers' Behavior with Navigation Traces

Design and evaluation of digital tools to expand experience in vocational education

2021

Can Feature Predictive Power Generalize? Benchmarking Early Predictors of Student Success across Flipped and Online Courses

Early Prediction of Conceptual Understanding in Interactive Simulations

Designing Intelligent Systems for Online Education: Open Challenges and Future Directions

L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web

Computational Analysis and Design of Structurally Stable Assemblies with Rigid Parts

Learning Analytics for Adaptive and Self-Improving Learning Environments for Inductive Teaching

2020

Modeling and Analyzing Inquiry Strategies in Open-Ended Learning Environments

Efficacy of a Computer-Based Learning Program in Children With Developmental Dyscalculia. What Influences Individual Responsiveness?

Towards the alignment of educational robotics learning systems with classroom activities

Analysis and Remediation of Handwriting difficulties

2019

Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments

2018

Ten Years of Research on Intelligent Educational Games for Learning Spelling and Mathematics

Perspectives to Technology-Enhanced Learning and Teaching in Mathematical Learning Difficulties

2017

Efﬁcient Feature Embeddings for Student Classiﬁcation with Variational Auto-encoders

Effekte des Calcularis-Trainings: Teil 1: Domänen-spezifische Veränderungen

Effekte des Calcularis-Trainings: Teil 2: Veränderungen psychosozialer Merkmale

Modeling exploration strategies to predict student performance within a learning environment and beyond

Dynamic Bayesian Networks for Student Modeling

2016

Evaluation of a Computer-Based Training Program for Enhancing Arithmetic Skills and Spatial Number Representation in Primary School Children

Stealth Assessment in ITS - A Study for Developmental Dyscalculia

When to stop? - Towards universal instructional policies

Temporally Coherent Clustering of Student Data

2015

Rechenleistung und Fingergnosie: Besteht ein Zusammenhang?: Eine Studie bei Grundschulkindern mit und ohne Rechenschwäche

On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models

2014

Assistive technology for supporting learning numeracy

Different parameters - same prediction. An analysis of learning curves

Beyond Knowledge Tracing. Modeling Skill Topologies with Bayesian Networks

Computational Education using Latent Structured Prediction

2013

Modelling and Optimizing Mathematics Learning in Children

Design and evaluation of the computer-based training program Calcularis for enhancing numerical cognition

Modeling and Optimizing Computer-Assisted Mathematics Learning in Children

Das Mathematikangstinterview (MAI). Erste psychometrische Gütekriterien

Cluster-based prediction of mathematical learning patterns