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Digital and Data Literacy in Teaching Lab

Thinking digitally right from the start

Abstraktes Bild mit Bezug zu Data Literacy

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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

DLE

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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
Lehrarbeit

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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.

News & Events from the DDLitLab

Preisannahme: Lukas Musumeci, Anton Sefkow und Marten Borchers

Photo: UHH / Bartels

Top news: UHH teaching award for DDLitLab project!

Three DDLitLab fellows were honoured with the prize in the ‘Courageous and cross-border teaching’ category: Anton Sefkow, Marten Borchers and Lukas Musumeci. The teaching project ‘Innovation by Legal Design Thinking’ was honoured.

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Current and past events of the project

Inspiring lectures on innovative teaching approaches, stimulating discussions on current issues in higher education, productive exchange with like-minded people and professional advice on digital and data-related skills in university teaching - discover our wide range of events on this page.

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All news at a glance!

What's going on with us? Take a look at current and old news from the project here.

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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

Logo Causality Lab

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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
Bildschirme in der Schule

Photo: https://stablediffusionweb.com mit Bezug auf ddle schule digital literature in school

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
Brainstorming mit Sticky Notes

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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

Lecture series Data Worlds

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The interdisciplinary lecture series Data Worlds teaches students of all subjects the basics of digital and data skills as well as familiarity with data-driven methods. In order to understand digitalisation and datafication, technical-practical knowledge and critical reflection are closely linked and examined from different perspectives.

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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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Student research groups with a focus on data literacy

Take a look at selected projects of the student research groups with a focus on data literacy and get to know the groups and their projects.

Forschungsaufbau

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These are the student projects!

We support students in developing and expanding their digital and data skills as part of independent projects. In total, our funding covers 77 students in 31 project groups, who are able to work intensively on their own chosen, data-driven topics and thus expand their data skills.

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Projektgruppe NoLock

Photo: UHH / Rehder

NoLoCK

The aim of the NoLoCK project was to analyse and evaluate no- and low-code platforms and their limitations in comparison to native development. It was investigated whether these platforms are suitable as competence bridges in the context of employee-driven (digital) innovations.

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Projektgruppe FinWAIID

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FinWAIID

Our world is changing, and the tools we use to research it must change too. In cetacean (whale) research, photo identification is a crucial technique for tracking individuals and studying population size and dynamics. FinWAIID explores an automated approach to streamline this process by developing a deep learning pipeline for detection.

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Projektgruppe Beenough

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Beenough

Studies on food competition between wild bees and honey bees are inconsistent and often only meaningful at a local level. The aim of the project is therefore to carry out such an analysis for northern Germany. The aim is to identify possible regional differences and areas with particularly high competition potential.

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