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Zoekresultaten (33)

HBO/WO

MBO

2024

Artificial Intelligence and Librarianship

Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 100,000 words on the topic, with a 4-500 item bibliography. The third edition has changes and additions. These include: a new Chapter 6 on evaluation and the future new materials in Chapter 5 on current large language and multimodal models scattered revisions, corrections, and updates. Chapter 1: Intellectual Background Chapter 2: Chatbots Chapter 3: Language Models Chapter 4: Large Language Models Chapter 5: Large Multimodal Models Chapter 6: Evaluation and the Future Chapter 7: Bias and Unfairness Chapter 8: Bias in Machine Learning and Librarianship Chapter 9: What Might Natural Language Processing (NLP) Bring to Librarianship? Chapter 10: What are the Opportunities for Librarians? Chapter 11: Librarians as Synergists Chapter 12: Librarians as Sentries Chapter 13: Librarians as Educators Chapter 14: Librarians as Managers Chapter 15: Librarians as Astronauts Appendix A: Some Theoretical Background to Librarianship Appendix B: Working with LLMS Appendix C: Two Important Methodological Points Appendix D: Causal Diagrams Appendix E: Knowledge Graphs Glossary Bibliography ISBN 13: 9780473722944

Open (Access) Tekst Boek

Martin Frické

17 december 2024

Generative AI Tutorials for Students and Teachers

As part of our commitment to innovation in research and education, the Graduate School of Life Sciences (GSLS) at University Medical Centre Utrecht has begun integrating the use of Large Language Models (LLMs) into our educational framework. We recognise the growing influence of LLMs in academic research and education. To ensure that our graduates and staff can effectively navigate and utilise these tools, we have developed a tutorial designed to provide both the technical knowledge and ethical framework necessary for responsible use.

Document

Christine Fox, Fleur Boelen

30 september 2024

A student’s guide to Generative AI

Welcome to this e-module on using Generative AI (GenAI) during your time as a BA or MA student at the Erasmus University Rotterdam!

Website

Erasmus University Library

30 september 2024

Tips and tricks for using Generative AI as a PhD Candidate

Welcome to this e-module on how to use Generative AI (GenAI) during your time as a PhD candidate at the Erasmus University Rotterdam!

Website

Erasmus University Library

1 september 2025

Algorithmic assessment systems

This class pursues a twofold goal of making students both think about the use of AI in recidivism prediction/social benefits allocation and reflect on the possible use of AI for making evaluative, moral judgments. To do so, students are first presented with contextual information about recidivism prediction and social benefits allocation controversies before the class through mandatory reading. During the class, students are divided into four groups that take contrasting positions on these two issues (recidivism prediction and social benefits allocation) and are asked to suggest (counter-)arguments for the position that they have been assigned in a debate-style manner, following academic argumentative norms. Later, students use ChatGPT/GPT3 or an alternative LLM with a chat interface to prompt it about arguments and counter-arguments pertaining to their position. As a result, students compare and discuss the answers they have come up with and those offered by ChatGPT, both within the groups and with the whole class, exploring different dimensions of using AI for evaluative moral judgments

Document

Olya Kudina, Dmitry Muravyov

31 mei 2020

Newey - 3D model Kidney with Polycystic Kidney Disease (ADPKD) compared to a healthy kidney

These models depict a healthy kidney and a kidney affected by late-stage Autosomal Dominant Polycystic Kidney Disease (ADPKD). ADPKD is a genetic disorder that causes multiple fluid-filled cysts to grow in the kidneys. If too many cysts grow, or they get too big, they can greatly enlarge and damage the kidneys. The cysts can eventually replace much of the kidneys, reducing kidney function and eventually leading to kidney failure. In some cases, polycystic kidneys can grow as large as an American football. ADPKD is the most common inherited form while Autosomal Recessive PKD (ARPKD) is much rarer. These models were created in ZBrush using a variety of credible reference images.

Website

Hannah Newey

26 december 2019

Groningen-Leiden - 3D model Tetralogy of Fallot, parasternal long axis view - numbered English labels

This model shows a parasternal long axis echo plane of a heart with the tetralogy of Fallot. Tetralogy of Fallot is is a congenital heart defect (a problem considering the structure of the heart that is present by birth). It involves four heart defects: - A large ventricular septal defect (VSD) - Pulmonary stenosis - Right ventricular hypertrophy - An overriding aorta. A 3D model in a series of heart models, made in collaboration between the Universities of Groningen, Leiden and Delft, the Netherlands.

Website

Anna Sieben, Monique R.M. Jongbloed, Margot M. Bartelings, Nynke J. Elzenga

26 december 2019

Groningen-Leiden - 3D model Tetralogy of Fallot - numbered English labels

This model shows the tetralogy of Fallot. Two windows were made to enable a view inside the heart; one in the right ventricle and one in the left ventricle. Tetralogy of Fallot is is a congenital heart defect (a problem considering the structure of the heart that is present by birth). It involves four heart defects: - A large ventricular septal defect (VSD) - Pulmonary stenosis - Right ventricular hypertrophy - An overriding aorta. A 3D model in a series of heart models, made in collaboration between the Universities of Groningen, Leiden and Delft, the Netherlands.

Website

Anna Sieben, Monique R.M. Jongbloed, Margot M. Bartelings, Nynke J. Elzenga

27 oktober 2019

Congenital heart diseases

A page showing a series of 3D models of the most common congenital heart diseases. This overview page allows to compare the normal configuration and the various congenital heart diseases. The models were made in collaboration between cardiologists, anatomists, medical illustrators and technical experts of the Universities of Groningen, Leiden and Delft, the Netherlands. The models can also be found individually in the categories '3D models' and 'Embryology'.

Anna Sieben, Monique R.M. Jongbloed

27 mei 2025

Gen AI Impact Scan

Dit materiaal is gepubliceerd met het doel een voorbeeld te geven, een inspiratiebron te zijn, of als bouwsteen te dienen binnen een andere onderwijscontext. Voel je vrij om (gedeelten) over te nemen en naar eigen inzicht aan te passen. De methode is ontwikkeld om de impact van Generatieve AI (GenAI), zoals ChatGPT, te beoordelen op de validiteit van toetsing en de relevantie van leerdoelen in een curriculum. De scan heeft een signalerend en activerende functie. Het doel is om een systematische en coherente aanpak te bieden voor het aanpassen van een curriculum als reactie op het (ongeoorloofd) gebruik van GenAI door studenten. De methode bestaat uit vijf stappen: De onderstaande documenten zijn aanwezig in dit pakket: Doelgroep: Opleidingsteams, coördinatoren, docenten en andere onderwijs professionals die de validiteit van de toetsing en relevantie van de leerdoelen willen borgen, gezien de impact van generatieve AI. Basisniveau: Basis GenAI literacy is nodig bij de professionals die de impact scan gaan uitvoeren. Indien die nog niet aanwezig is, kan deze e-learning gebruikt worden om dat te bereiken. (https://tlc.uva.nl/en/article/e-learning-for-lecturers-about-genai/?faculty=53) Benodigdheden: -Lokaal met beamer voor de workshops -Online werkomgeving om bestanden te delen zoals Excel bestanden -Toegang voor docenten tot een geavanceerd taalmodel om de toetsing te maken. Idealiter in een veilige omgeving waar niet getraind wordt op de data zodat er geen problemen zijn met copyright van het leermateriaal. Contactpersoon: Remco Jongkind (r.c.jongkind@amsterdamumc.nl), Erik Elings (e.w.elings@amsterdamumc.nl), Birgit van Berlo (b.m.a.vanberlo@amsterdamumc.nl), Jennita Meinema (j.g.meinema@amsterdamumc.nl), Floor van der Steijle (f.vandersteijle@amsterdamumc.nl)

Document

Erik Elings, Remco Jongkind, Birgit van Berlo, Jennita Meinema, Floor van der Steijle