Publications related to Assessing ChatGPT's Influence on Critical Thinking in Sustainability Oriented Activities

Related publications (12)

Assessing workflow impact and clinical utility of AI-assisted brain aneurysm detection: A multi-reader study

Despite the plethora of AI-based algorithms developed for anomaly detection in radiology, subsequent integration into clinical setting is rarely evaluated. In this work, we assess the applicability and utility of an AI-based model for brain aneurysm detect ...

2025

GraphOntology Dataset

Francisco Pereira Correia Pinto, Ramtin Yazdanian

The EPFL Graph Platform is an open-source data infrastructure designed for academic institutions. It organizes educational and institutional data into a semantically interconnected knowledge graph, making it accessible through a graph-based search engine a ...

Zenodo2025

Anomaly Anything: Promptable Unseen Visual Anomaly Generation

Olga Fink, Han Sun

Visual anomaly detection (AD) presents significant challenges due to the scarcity of anomalous data samples. While numerous works have been proposed to synthesize anomalous samples, these synthetic anomalies often lack authenticity or require extensive tra ...

2025

Who's Helping Who? When Students Use ChatGPT to Engage in Practice Lab Sessions

Jérôme Guillaume Brender, Francesco Mondada, Laila Abdelsalam El-Hamamsy, Engin Walter Bumbacher

Little is understood about how chatbots powered by Large Language Models (LLMs) impact teaching and learning, and how to effectively integrate them into educational practices. This study examined whether and how using ChatGPT in a graduate-level robotics c ...

Springer Nature Switzerland2024

Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar, Guillaume Marc Georges Vray, Devavrat Tomar

Developing computational pathology models is essential for reducing manual tissue typing from whole slide images, transferring knowledge from the source domain to an unlabeled, shifted target domain, and identifying unseen categories. We propose a practica ...

Institute of Electrical and Electronics Engineers2024

Prompt-guided and multimodal landscape scenicness assessments with vision-language models

Devis Tuia

Recent advances in deep learning and Vision-Language Models (VLM) have enabled efficient transfer to downstream tasks even when limited labelled training data is available, as well as for text to be directly compared to image content. These properties of V ...

PUBLIC LIBRARY SCIENCE2024

Towards Robust Vision Models

Harshitha Machiraju

Deep convolutional neural networks (DCNNs) have significantly advanced the field of computer vision and are often considered as plausible models for the human visual system. However, they still have several vulnerabilities in terms of adversarial attacks, ...

EPFL2024

CoBo: Collaborative Learning via Bilevel Optimization

Martin Jaggi, Lie He

Collaborative learning is an important tool to train multiple clients more effectively by enabling communication among clients. Identifying helpful clients, however, presents challenging and often introduces significant overhead. In this paper, we model cl ...

2024

Discovering Knowledge-Critical Subnetworks in Pretrained Language Models

Antoine Bosselut, Zeming Chen, Negar Foroutan Eghlidi, Deniz Bayazit

Pretrained language models (LMs) encode implicit representations of knowledge in their parameters. However, localizing these representations and disentangling them from each other remains an open problem. In this work, we investigate whether pretrained lan ...

Association for Computational Linguistics2024

Technology integration needs empowered instructional coaches: accompanying in-service teachers in school digitalization

Jessica Elke Dehler Zufferey, Laila Abdelsalam El-Hamamsy, Sunny Jonathan Jean-Jacques Laurent Avry, Caroline Pulfrey, Emilie-Charlotte Monnier, Christiane Caneva

Purpose- In digital education curricular initiatives, some teachers are taking on key roles when appointed as instructional coaches (ICs) and become crucial in the sustainability of the initiative by coaching teachers. This study aimed to find out the diff ...

2023

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

Tanja Christina Käser Jacober

Detecting learners in need of support is a complex process for both teachers and machines. Most prior work has devised visualization tools that allow teachers to do so by analyzing educational indicators. Other recent efforts have been devoted to models th ...

ASSOC COMPUTING MACHINERY2023

Tracing Embodied Narratives of Critical Thinking

Aditi Kothiyal

Critical Thinking (CrT) is generally characterized as an abstract thinking process, detached from the (bodily) actions one engages in during the process. Though recent cognitive theories assert that all thinking is action-based, the embodied and distribute ...

SPRINGER INTERNATIONAL PUBLISHING AG2021