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  1. UHH
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  3. DDLitLab

Digital and Data Literacy in Teaching Lab

Thinking digitally right from the start

Abstraktes Bild mit Bezug zu Data Literacy

Photo: Growtika / unsplash

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
  • News & Events
  • The data literacy teaching lab
  • Teaching lab projects in the spotlight
  • Resources for your teaching
  • Data Worlds
  • Student research groups with a focus on data literacy
  • Generative AI in university teaching
  • Contact

Project goals

DLE

Photo: Joseph Mucira / Pixabay

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

Photo: Moondance / Pixabay

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.

To the news
Gruppe arbeitet hybrid

Photo: UHH/Esfandiari

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.

To the events
Publikationen Bild

Photo: AbsolutVision / unsplash

All news at a glance!

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

To the news channel

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.

  • Podcast and interview series: "Spotlight Data Literacy Teaching Lab"
  • To the teaching projects of the 1st funding round
  • To the teaching projects of the 2nd funding round
  • To the teaching projects of the 3rd funding round
Lehrlabor SymbolbildSymbolbild Lehrlabor

Photo: fauxels / Pexels

Interactive map: This is where the Teaching Labs are located

Teaching lab projects in the spotlight

Logo Causality Lab

Photo: UHH / Bach

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

Photo: ux indonesia / unsplash

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

Photo: https://stablediffusionweb.com: painting-of-diverse-women-with-smartphones-with-neon-colours

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
deepmind x / unsplash

Photo: deepmind x / unsplash

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

  • Handy mit LehreNavi-Aufschrift

    Photo: UHH / Pawlowski

    Teaching Navi

    Systematic search portal for materials, counselling services and further training for your teaching (only in German).

  • Jupyter Notebooks

    Photo: krassowski / Github

    Jupyter Notebooks

    Workshop material and manual for the use of ‘Jupyter Notebooks’ in teaching.

  • Schlagwortwolke zu Studiengängen und Fächern an der Uni Hamburg. Im Zentrum steht Data Literacy Education.

    Photo: UHH/Paepcke

    Data Literacy Repository

    Collection of subject-specific teaching materials and good practice examples in the context of data literacy.

Lecture series Data Worlds

Symbolfoto Datenwelten

Photo: Google DeepMind / unsplash

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.

Learn more

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.

  • Our overview page "Generative AI in studies and teaching"
  • Registration for the AI mailing list for lecturers
  • Externer Link:
    AI orientation framework of the University of Hamburg
  • Externer Link:
    "ChatGPT and Me 2.0" - Study results
  • More publications from the project
gki Bildgki Symbol

Photo: Mojahid Mottakin / unsplash

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

Photo: Google DeepMind / unsplash

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.

Learn more
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.

Learn more
Projektgruppe FinWAIID

Photo: UHH / Rehder

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.

Learn more
Projektgruppe Beenough

Photo: UHH / Rehder

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.

Learn more

Scientists involved

  • Bild Projektleitung

    Photo: UHH/Feuerböther

    Project management

    The DDLitLab project is led by: Katharina Kleinen-von Königslöw and Kai-Uwe Schnapp

  • Lenkungskreis

    Photo: UHH

    Steering Committee

    Chris Biemann, Sandra Sprenger, Gabi Reinmann, Martin Semmann

  • Beratende Wissenschaftler:innen

    Photo: UHH

    Advisory role

    Ingrid Schirmer, Eva Bittner, Mathias Fischer

Do you have any questions?

outro

Photo: iStock

We will be happy to take care of your request.

Please contact our team at any time.

Contact

Last update: 21 August 2024

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