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Imitation Learning in Discounted Linear MDPs without exploration assumptions

Volkan Cevher, Efstratios Panteleimon Skoulakis, Luca Viano

We present a new algorithm for imitation learning in infinite horizon linear MDPs dubbed ILARL which greatly improves the bound on the number of trajectories that the learner needs to sample from the environment. In particular, we re- move exploration assu ...

2024

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

Paola Mejia Domenzain, Aybars Yazici, Tanja Christina Käser Jacober, Jibril Albachir Frej

Traditional example-based learning methods are often limited by static, expert-created content. Hence, they face challenges in scalability, engagement, and effectiveness, as some learners might struggle to relate to the examples or find them relevant. To a ...

Association for Computing Machinery2024

Evaluation of teachers’ orchestration tools usage in robotic classrooms

Pierre Dillenbourg, Barbara Bruno, Aditi Kothiyal, Sina Shahmoradi

Teachers’ self-efficacy in managing classrooms is an important consideration when it comes to bringing educational robots to classrooms. Orchestration tools support teachers by providing awareness indicators of students’ progress as well as levers to contr ...

2023

Revisiting adversarial training for the worst-performing class

Volkan Cevher, Grigorios Chrysos, Thomas Michaelsen Pethick

Despite progress in adversarial training (AT), there is a substantial gap between the topperforming and worst-performing classes in many datasets. For example, on CIFAR10, the accuracies for the best and worst classes are 74% and 23%, respectively. We argu ...

2023

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

Tatjana Nazaretsky, Tanja Christina Käser Jacober, Jibril Albachir Frej

The increasing availability of Massive Open Online Courses (MOOCs) has created a necessity for personalized course recommendation systems. These systems often combine neural networks with Knowledge Graphs (KGs) to achieve richer representations of learners ...

2023

OSSCAR, an open platform for collaborative development of computational tools for education in science

Giovanni Pizzi, Sara Bonella, Dou Du

In this paper we present the Open Software Services for Classrooms and Research (OSSCAR) platform. OSSCAR provides an open collaborative environment to develop and access educational resources in the form of web applications, for which various deployment m ...

ELSEVIER2023

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

Tanja Christina Käser Jacober

Simulation is a powerful approach that plays a significant role in science and technology. Computational models that simulate learner interactions and data hold great promise for educational technology as well. Amongst others, simulated learners can be use ...

SPRINGER2023

High entropy molybdate-derived FeOOH catalyzes oxygen evolution reaction in alkaline media

Lichen Bai, Seunghwa Lee

High-entropy materials are a new class of materials that have lately been developed and applied to a variety of potential fields. Here we present that electrochemical activation facilitates the application of high-entropy molybdates (HEMo) as oxygen evolut ...

PERGAMON-ELSEVIER SCIENCE LTD2023

A Conceptual Framework for Integrating Conversational Agents in Digital Education

Juan Carlos Farah

The presence of conversational agents (or chatbots) in educational contexts has been steadily increasing over the past few years. Recent surveys have shown widespread interest in the use of chatbots in education, both for research and practice. Although th ...

EPFL2023

Understanding Revision Behavior in Adaptive Writing Support Systems for Education

Paola Mejia Domenzain, Luca Mouchel, Tanja Christina Käser Jacober, Thiemo Wambsganss

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). Understanding how these tools are u ...

Zenodo2023

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