Digital and Data Literacy in Teaching Lab

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The ‘Digital and Data Literacy in Teaching Lab’ project (DDLitLab for short) promotes students' digital and data skills through subject-specific, interdisciplinary and transfer-oriented teaching programmes at all faculties at the University of Hamburg. It also supports teaching staff in further developing their digital didactic skills. The DDLitLab is funded by the ‘Foundation for Innovation in University Teaching’ for a total duration of four and a half years.

More about the project

Content

Project goals

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What is digital & data literacy?

This means the general ability to orientate and help shape processes of (digital) data collection, processing, analysis and visualisation as well as critical reflection on contemporary digital and data practices and their consequences in society, science, politics and business.

About the university's digital strategy

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DUTy: Digital didactic qualification of lecturers

The DUTy (Digital University Teaching Literacy) sub-project aims to further qualify lecturers for digital and hybrid teaching formats. The DUTy team offers a wide range of counselling and exchange services on the topic.

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News from the DDLitLab

An eventful year for the DDLitLab!

The year 2024 was characterised by significant developments and projects for the DDLitLab. This is a good opportunity to look back on a small selection of events from this year.

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Student projects: fourth funding round

The student research groups focusing on data literacy in the fourth and final round have started. A total of seven diverse projects are being funded.

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AI Hands-On #6: Study-gen AI Literacy

On 15 January 2025, the sixth edition of our ‘AI Hands-On’ took place, focusing on the topic of ‘Study-gen AI Literacy’. The focus was on the question of what new things students need to learn for their studies in times of generative AI.

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New interview series by the DDLitLab

In our new interview series ‘Spotlight Data Literacy Teaching Lab’, we present some of the exciting teaching projects that were funded by the Digital and Data Literacy in Teaching Lab (DDLitLab) at the University of Hamburg in 2023 and 2024.

Teaserimage zur neuen Interviewreihe "Spotlight Data-Literacy-Lehrlabor" zur Folge 1 mit Dr. Lennart Wittkuhn

Photo: UHH/Pawlowski

Data Literacy Teaching Labs / Cross-Disciplinary Teaching Labs

The Data Literacy Teaching Lab / Cross-Disciplinary Teaching Labs (CDTLs) promote a variety of innovative courses at all faculties and central institutions of UHH that enable students to deal with and reflect on digitality and data.

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Interactive map: This is where the Teaching Labs are located

Teaching lab projects in the spotlight

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The Digital Causality Lab - Causal inference for everyone!

This teaching lab project consists of two parts. In an online course, participants are taught the basics and methods of causal inference with the help of innovative teaching materials and learning videos. They will also have the opportunity to apply the methods in a practical project of their own.

Project details

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Data and the digital world - a topic for schools and lessons

This course strengthens the digital and data literacy skills of prospective teachers. Concrete didactic concepts for Digital and Data Literacy Education (DDLE) are developed in relation to the curricula for Hamburg schools. How can DDLE be taken into account in and outside the classroom?

Project details

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Data-Driven Digital Innovation Lab

In the D³ Innovation Lab, students are guided through all phases of the data life cycle in data-driven innovation projects. In addition to planning projects, they also learn to apply data practices and manage collected data.

Project details

Stable diffusion: painting-of-diverse-women-with-smartphones-with-neon-colours

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Feminist intervention in news distribution

As part of the seminar, students deal with critical perspectives that can result from an intersectional feminist stance, for example, in order to analyse these data practices and develop their own in-depth questions and solutions.

Project details

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BreAkIng Bad: Hacking the AI Act

In a hermeneutic teaching approach, the students act as ‘Advocatus Diaboli’: The consulting concepts are intended to show how the AI Act can be fulfilled with minimal effort while maximising economic profit and accepting social risk.

Project details

Resources for your teaching

Generative AI in university teaching

In the context of the use of generative artificial intelligence in university teaching, we organise events, discuss current developments, conduct surveys and incorporate the resulting findings into our project work.

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Interdisciplinary courses

Data worlds I

The lecture takes place in the winter semester and teaches basic knowledge in the field of data science. A particular focus here is on the information technology systems that largely shape our everyday lives.

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Exercise: Critical insights into R

In the lecture-accompanied exercise, students learn the basics of the statistical software R for data analysis. They work with public or personal data and carry out their own critical data project.

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Data Worlds II

The course takes place in the summer semester. The aim is to gain an overview of the current status of data utilisation in various areas of society and to deal with the associated ethical problems.

Photo: UHH / Röttger

Data in dialogue

In the Data in Dialogue event series, economists and social scientists present their data-driven working environment and talk about their personal career path to their current profession.

Photo: UHH / Scharfenberg

More from the DDLitLab

Here you will find further important links, for example to our student research groups focussing on data literacy, publications in the field of digital and data literacy and more.