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Zoekresultaten (15)

HBO/WO

MBO

25 september 2025

Information literacy (e-learning course)

With this e-learning course, students develop a basic level of information literacy. The module is designed for first-year students who want to master the basics of information literacy. The module is divided into five steps: orientation and specification, planning and searching, critical evaluation, organization and processing, and publishing and communication.

Website

Bibliotheek Hogeschool Arnhem Nijmegen

1 september 2025

Introduction to AI at HAN

This module is intended for all staff and students at HAN. It is also available to interested parties outside HAN. There is also a Dutch version available called: Kennismaken met AI in de HAN.

Website

Expertiseteam Digi- en Datavaardigheid

6 juni 2025

Multilevel modeling for social scientists

The course builds on the knowledge and skills acquired in the previous methods courses. The course will introduce students to multivariate analyses of nested data using multilevel modeling techniques. The course focuses on the theory and application of fixed and, in particular, random effects models. Using data from the European Social Survey, the students will learn how to estimate and interpret such as models using Stata.

Document

Alex Lehr

16 december 2024

Discussion support tool: Digital and data literacy in education

This conversation tool gives you insight into how digital and data literate your current curriculum is and where adjustments are needed.

Website

Programma Realisatie Koersbeeld

19 november 2024

Gesprekstool: digi- en datavaardig onderwijs

Deze gesprekstool geeft je inzicht in hoe digi- en datavaardig je huidige onderwijs is en waar aanpassing van het onderwijs nodig is.

Website

Programma Realisatie Koersbeeld, Expertiseteam Digi- en Datavaardigheid

1 november 2024

APA-quizzen

Kennistests in de vorm van quiz-vragen over de toepassing van de APA-richtlijnen.

Website

Bibliotheek Hogeschool Arnhem Nijmegen

2 september 2023

Evaluating information & data: Lies and statistics

Lies and statistics Many students love using statistics in their papers. Statistics can lend your story more weight and give the reader a feeling of having insight into or a clear view of the material, which would not be have been possible without the figures. Examples Some examples of why you should be careful with numbers and figures you find on the Internet. Related. Suggested.

Website

Erasmus University Library

23 augustus 2023

Lecture: Trust Models and Trust quantification

None

Website

HCAIM Consortium

23 augustus 2023

Lecture: Understanding data

Learner acquires demonstrable knowledge of data forms used in AI. Learner can talk about data using the right terminology (e.g., features, variables, observations). Learner knows the different data types and knows how to transform them (e.g., nominal, ordinal). Learner knows the most common measures for data description (e.g., mean, median, standard deviation) and knows how to calculate them. Learner acquires demonstrable knowledge of how data are described via measures and visualisation. Learner knows the most common graphs and knows how to pick a visualisation, matching the given data.

Website

HCAIM Consortium

16 februari 2023

Participatory design of human rights training

A manual with a concrete teaching programme for HBO teachers to teach students to design, implement and evaluate a human rights training or activity. The manual is Equitas' English manual Evaluating Human Rights Training Activities. The Candade human rights organisation that since 1967 has been sharing open source educational materials to give human rights concrete content in practice . The backbone of the manual are five design steps with many examples to concretely turn human rights into a learning activity.

Document

peter dijkstra