no code implementations • 29 Apr 2024 • Bahar Radmehr, Adish Singla, Tanja Käser
In this paper, we aim to enhance the generalization capabilities of agents in open-ended text-based learning environments by integrating Reinforcement Learning (RL) with Large Language Models (LLMs).
1 code implementation • 16 Apr 2024 • Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser
In light of the job market's rapid changes and the current state of research in course recommender systems, we outline essential properties for course recommender systems to address these demands effectively, including explainable, sequential, unsupervised, and aligned with the job market and user's goals.
1 code implementation • 29 Feb 2024 • Seyed Parsa Neshaei, Richard Lee Davis, Adam Hazimeh, Bojan Lazarevski, Pierre Dillenbourg, Tanja Käser
Recent work exploring the capabilities of pre-trained large language models (LLMs) has demonstrated their ability to act as general pattern machines by completing complex token sequences representing a wide array of tasks, including time-series prediction and robot control.
1 code implementation • 5 Feb 2024 • Vinitra Swamy, Syrielle Montariol, Julian Blackwell, Jibril Frej, Martin Jaggi, Tanja Käser
Interpretability for neural networks is a trade-off between three key requirements: 1) faithfulness of the explanation (i. e., how perfectly it explains the prediction), 2) understandability of the explanation by humans, and 3) model performance.
no code implementations • 2 Feb 2024 • Paul Denny, Sumit Gulwani, Neil T. Heffernan, Tanja Käser, Steven Moore, Anna N. Rafferty, Adish Singla
This survey article has grown out of the GAIED (pronounced "guide") workshop organized by the authors at the NeurIPS 2023 conference.
1 code implementation • 11 Dec 2023 • Jibril Frej, Neel Shah, Marta Knežević, Tanya Nazaretsky, Tanja Käser
In this work, we propose an explainable recommendation system for MOOCs that uses graph reasoning.
1 code implementation • 6 Nov 2023 • Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche, Tanja Käser
Our results demonstrate that there is no significant difference in gender bias between the resulting peer reviews of groups with and without LLM suggestions.
1 code implementation • 25 Sep 2023 • Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley
Predicting multiple real-world tasks in a single model often requires a particularly diverse feature space.
no code implementations • 1 Jul 2023 • Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut
In a different world, research in pedagogy has long established several effective feedback models.
no code implementations • 1 Jul 2023 • Vinitra Swamy, Jibril Frej, Tanja Käser
We propose a shift from post-hoc explainability to designing interpretable neural network architectures.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
1 code implementation • 17 Jun 2023 • Luca Mouchel, Thiemo Wambsganss, Paola Mejia-Domenzain, Tanja Käser
Revision behavior in adaptive writing support systems is an important and relatively new area of research that can improve the design and effectiveness of these tools, and promote students' self-regulated learning (SRL).
1 code implementation • 17 Dec 2022 • Vinitra Swamy, Sijia Du, Mirko Marras, Tanja Käser
Deep learning models for learning analytics have become increasingly popular over the last few years; however, these approaches are still not widely adopted in real-world settings, likely due to a lack of trust and transparency.
no code implementations • 16 Dec 2022 • Roberta Galici, Tanja Käser, Gianni Fenu, Mirko Marras
This weakness is one of the main factors undermining users' trust, since model predictions could for instance lead an instructor to not intervene on a student in need.
1 code implementation • 2 Dec 2022 • Mohammad Asadi, Vinitra Swamy, Jibril Frej, Julien Vignoud, Mirko Marras, Tanja Käser
Time series is the most prevalent form of input data for educational prediction tasks.
2 code implementations • COLING 2022 • Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser
We conduct a Word Embedding Association Test (WEAT) analysis on (1) our collected corpus in connection with the clustered labels, (2) the most common pre-trained German language models (T5, BERT, and GPT-2) and GloVe embeddings, and (3) the language models after fine-tuning on our collected data-set.
no code implementations • 4 Jul 2022 • Jade Maï Cock, Mirko Marras, Christian Giang, Tanja Käser
In this paper, we investigate the quality and generalisability of models for an early prediction of conceptual understanding based on clickstream data of students across interactive simulations.
1 code implementation • 1 Jul 2022 • Vinitra Swamy, Bahar Radmehr, Natasa Krco, Mirko Marras, Tanja Käser
Neural networks are ubiquitous in applied machine learning for education.
2 code implementations • 25 Apr 2022 • Vinitra Swamy, Mirko Marras, Tanja Käser
Despite the increasing popularity of massive open online courses (MOOCs), many suffer from high dropout and low success rates.