OER for students and teachers
Contact
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Academic supervision, Development Area 2
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Learning Lab
Open Educational Resources (OER)
AskOne portal (sub-project completed)
OER for students and teachers
Open Educational Resources(OER) are regarded as key to a shift towards an education system that offers equal opportunities. The project aims to utilise these resources to make it easier for students to start their degree programmes and to navigate their studies.
The OER are aimed at students for self-study, but also at lecturers, who can use the materials in their courses. All OER produced by the project are published under the CC BY 4.0 licence and are available for use and adaptation.
The following materials are already available:
Let's Talk about Racism by S. M. Gerhards, N. Ellerich-Groppe and M. Schweda
- Simon M. Gerhards, Niklas Ellerich-Groppe and Mark Schweda (2025) for participate@UOL
- licensed under CC BY 4.0 (for the learning unit)
- published in October 2025
Description
Racism in medicine and healthcare has not yet been systematically addressed in medical degree programmes. At the same time, students repeatedly find that even lecturers struggle to convey the subject in a nuanced way.
As addressing racism in medicine and healthcare is often accompanied by negative feelings, resistance and other difficulties, we recommend that the video material (see below) carefully into a learning module that critically examines racism, whilst also ensuring that participants are provided with support and points of contact should they experience racism. The following description of the digital asynchronous learning module ‘Let’s Talk about Racism’ is intended to provide suggestions for integrating the video material into a learning module in this way. The interactive digital learning environment described here is currently being evaluated and revised, and is expected to be published as an OER at a later date.
The video material ‘Let’s Talk about Racism’ (Gerhards et al., 2025), published in parallel as an OER, is intended to encourage self-reflective engagement with the personal and professional influences that shape one’s own approach to racism in medicine and healthcare.
Materials
Learning module ‘Let’s Talk about Racism’ (available at twillo.de)
Video material: Simon M. Gerhards, Niklas Ellerich-Groppe and Mark Schweda (2025). Let’s talk about Racism – Video material for anti-racist teaching in medical studies.
Licensed under CC BY-SA 4.0. https://doi.org/10.5446/71560
Maths self-test by J. Peters and H. Schencke
- by J. Peters and H. Schencke on behalf of the Computing Science student body for participate@UOL
- licensed under CC BY 4.0
- published in October 2025
Description:
This is a useful self-assessment test for enrolment on the BSc in Computing Science at the University of Oldenburg. It is designed for prospective students who wish to assess how well their maths skills are suited to a degree in Computing Science. To this end, the mathematics lecturers teaching the relevant modules were asked what level of knowledge they expect from first-year students. The core curriculum for the upper secondary school and the cosh minimum requirements catalogue for mathematics were also consulted. This collection of exercises was developed as a result.
The test is designed to help you assess whether there are any gaps in your knowledge, and if so, where.
All you need in addition is a pen and paper to work through some of the exercises and then enter your answers online. (…)
To save the results at the end of the test, you can use your browser’s print function – once saved as a PDF, you can take it with you to a tutorial, for example.
Click here to go directly to the self-assessment test.
Target audience
Prospective students interested in studying Computing Science at the UOL, as well as first-year Computing Science students.
Language
German
Credits – we welcome the use of this OER provided the following details are included
J. Peters and H. Schencke on behalf of the Computing Science student body for participate@UOL (2025). Mathematics Self-Assessment Test. Licensed under CC BY 4.0.
For re-users
All OER files – available on request by email to:
AI guide: Briefly explained: The checklist for the authorised use of AI systems
- by S. Schorer and J. Horn for participate@UOL
- licensed under CC BY 4.0
- published in November 2025
Description:
This AI Guide focuses on data protection and copyright when using AI. What are data protection and copyright? What aspects need to be taken into account when using AI systems? You’ll find out in this instalment of the AI Guide, based on the checklist for the permissible use of AI systems.
The following materials are also available to accompany this explanatory video:
The AI Guide was developed as part of the participate@UOL project at the University of Oldenburg.
We welcome the reuse of this material provided the following details are included: Horn, J. and Schorer, S. for participate@UOL (2025). A brief explanation: The checklist for the permissible use of AI systems. Licensed under CC BY 4.0. With the exception of where otherwise indicated, the materials have been licensed under CC BY 4.0.
The video is also available with German subtitles. We also provide transcription files (including slides).
The video is also available with German subtitles.
If you are interested in further files relating to these OER, please feel free to contact us at (AP Susanne Schorer).
If you are interested in additional files relating to these OER, please feel free to contact (contact Susanne Schorer).
Target audience:
Students at UOL, lecturers and other interested parties.
Students at UOL, lecturers and other interested parties.
Language:
Video in German. Transcript including slides is available.
Credits:
We would be delighted if you were to reuse these OER, provided you include the following information:
We would be delighted if you were to reuse these OER, provided you include the following information:
- Video: Horn, J. and Schorer, S. for participate@UOL (2025). A brief explanation: The checklist for the permissible use of AI systems. Except where otherwise indicated, the materials are licensed under CC BY 4.0.
- Transcript including slides: Horn, J. & Schorer, S. for participate@UOL (2025). Transcript with supplementary materials for the video ‘In a nutshell: The checklist for the permissible use of AI systems’, licensed under CC BY 4.0.
AI guide: Learning with AI
- by S. Schorer and E. V. Keding for participate@UOL
- licensed under CC BY 4.0
- published in October 2025
Description:
This AI guide outlines the many ways in which AI can be used in learning, particularly in the context of university studies. It also emphasises that AI outputs are not always reliable and must be checked. Nevertheless, when used effectively, AI can be a useful aid to learning, for example when organising material. Furthermore, learning with AI is different from learning with fellow students.
The following materials are also available to accompany this explanatory video:
The AI Guide was developed as part of the participate@UOL project at the University of Oldenburg.
We welcome the reuse of this material provided the following details are included: Schorer, S. and Keding, E. V. for participate@UOL (2025). Learning with AI. Basic knowledge. Licensed under CC BY 4.0. With the exception of where otherwise indicated, the materials are licensed under CC BY 4.0.
The video is also available with German subtitles. We also provide transcription files (including slides).
The video is also available with German subtitles.
If you are interested in further files relating to these OER, please feel free to contact us at (AP Susanne Schorer).
If you are interested in additional files relating to these OER, please feel free to contact (contact Susanne Schorer).
Target audience:
Students at UOL, lecturers and other interested parties.
Students at UOL, lecturers and other interested parties.
Language:
Video in German. Transcript including slides is available.
Credits:
We would be delighted if you were to reuse these OER, provided you include the following information:
We would be delighted if you were to reuse these OER, provided you include the following information:
- Video (with and without subtitles): Schorer, S. and Keding, E. V. for participate@UOL (2025). Learning with AI. Basic knowledge. Licensed under CC BY 4.0. With the exception of where otherwise indicated, the materials have been licensed under CC BY 4.0.
- Transcript including slides: Schorer, S. & Keding, E. V. for participate@UOL (2025). Transcript with supplementary materials for the video ‘Learning with AI – Basic Knowledge’, licensed under CC BY 4.0.
AI guide: Applying with AI
- by S. Schorer and V. Dierks for participate@UOL
- licensed under CC BY 4.0
- published in October 2025
Description:
This AI guide focuses on a topic that becomes relevant by the end of your degree at the latest: applying for jobs using AI. It explores what makes a good application, where AI can help and where it cannot. It examines the perspectives of both applicants and employers and provides tips for creating an AI-friendly application.
The following materials are also available to accompany this explanatory video:
The AI Guide was produced as part of the participate@UOL project at the University of Oldenburg.
We welcome reuse provided the following details are included: Schorer, S. and Dierks, V. for participate@UOL (2025). Job applications using AI. Basic knowledge. Licensed under CC BY 4.0. With the exception of those marked otherwise, the materials have been licensed under CC BY 4.0.
If you are interested in further files relating to these OER, please feel free to contact us at (AP Susanne Schorer).
If you are interested in additional files relating to these OER, please feel free to contact (contact Susanne Schorer).
Target Group:
Students at UOL, lecturers and other interested parties.
Students at UOL, lecturers and other interested parties.
Language:
Video in German. Transcript including slides is available.
Video in German. Transcript including slides is available.
Credits:
We would be delighted if you were to reuse these OER, provided you cite the following:
We would be delighted if you were to reuse these OER, provided you cite the following:
- Video (with and without subtitles): Schorer, S. and Dierks, V. for participate@UOL (2025). Job Applications with AI. Basic Knowledge. Licensed under CC BY 4.0. With the exception of where otherwise indicated, the materials have been licensed under CC BY 4.0.
- Transcript (including slides) in German: Bruns, Patrick for participate@UOL (2025). Transcript with supplementary materials for the video ‘Applying for Jobs with AI’, licensed under CC BY 4.0.
AI guide: 5 tips for effective prompting
- by S. Schorer and W. J. Legtenborg for participate@UOL
- licensed under CC BY 4.0
- published in October 2025
Description:
This AI guide is all about prompting. What is prompting? How do I get good answers from AI? After explaining what prompting is, five tips for effective prompting are provided, which can improve your AI results.
The following materials are also available to accompany this explanatory video:
The AI guide was produced as part of the participate@UOL project at the University of Oldenburg.
We welcome reuse provided the following details are included: Schorer, S. and Legtenborg, W. J. for participate@UOL (2025). 5 Tips for Effective Prompting. Basic Knowledge. Licensed under CC BY 4.0.
If you are interested in further files relating to these OER, please feel free to contact us at (AP Susanne Schorer).
If you are interested in additional files relating to these OER, please feel free to contact (contact Susanne Schorer).
Target audience:
Students at UOL, lecturers and other interested parties.
Students at UOL, lecturers and other interested parties.
Language:
Video in German. Transcript including slides is available.
Credits:
We would be delighted if you were to reuse these OER, provided you include the following information:
We would be delighted if you were to reuse these OER, provided you include the following information:
- Video (with and without subtitles): Schorer, S. and Legtenborg, W. J. for participate@UOL (2025). 5 Tips for Effective Prompting. Basic Knowledge. Licensed under CC BY 4.0. With the exception of where otherwise indicated, the materials have been licensed under CC BY 4.0.
- Transcript (including slides) in German: Transcript including slides: (to follow): Bruns, Patrick for participate@UOL (2025). Transcript with supplementary materials for the video ‘Literature research with AI’, licensed under CC BY 4.0.
AI Guide: Literature research with AI
- by S. Schorer and W. J. Legtenborg for participate@UOL
- licensed under CC BY 4.0
- published in October 2025
Description:
This instalment of the AI Guide on the topic of literature research using AI first shows you what constitutes good literature research. This foundation is essential before literature research can be carried out, both with and without AI. It then goes on to discuss whether and how AI can assist with literature reviews. Depending on the subject area and individual interests, this support can take many different forms.
The following materials are also available to accompany this explanatory video:
The AI Guide was developed as part of the participate@UOL project at the University of Oldenburg.
We welcome the reuse of this material provided the following details are included: Schorer, S. and Legtenborg, W. J. for participate@UOL (2025). Literature research with AI. Basic knowledge. Licensed under CC BY 4.0. Unless otherwise indicated, the materials have been licensed under CC BY 4.0.
If you are interested in further files relating to these OER, please feel free to contact us at (AP Susanne Schorer).
If you are interested in additional files relating to these OERs, please feel free to contact (contact Susanne Schorer).
Target audience:
Students at UOL, lecturers and other interested parties.
Students at UOL, lecturers and other interested parties.
Language:
Video in German. Transcript including slides is available.
Credits:
We would be delighted if you were to reuse these OER, provided you include the following information:
We would be delighted if you were to reuse these OER, provided you include the following information:
- Video (with and without subtitles): Schorer, S. and Legtenborg, W. J. for participate@UOL (2025). Literature research with AI. Basic knowledge. Licensed under CC BY 4.0. With the exception of where otherwise indicated, the materials have been licensed under CC BY 4.0.
- Transcript (including slides) in German: Bruns, Patrick for participate@UOL (2025). Transcript with supplementary materials for the video ‘Literature search with AI’, licensed under CC BY 4.0.
AI guide: Transcribing with AI
- by S. Schorer and W. J. Legtenborg
- licensed under CC BY 4.0
- published in October 2025
Description:
In this AI guide, we introduce NoScribe, a tool for transcribing audio files, such as interviews. NoScribe complies with data protection regulations and can be installed on your own computer. We provide a brief overview of its features and highlight its advantages and disadvantages.
The following materials are also available to accompany this explanatory video:
We welcome the reuse of these materials provided the following details are included: Schorer, S. and Legtenborg, W. J. for participate@UOL (2025). Transcribing with AI. Basic knowledge. Licensed under CC BY 4.0. Except where otherwise indicated, the materials are licensed under CC BY 4.0.
If you are interested in further files relating to these OER, please feel free to contact us at (AP Susanne Schorer).
If you are interested in additional files relating to these OER, please feel free to contact (contact Susanne Schorer).
Target audience:
Students at UOL, lecturers and other interested parties.
Students at UOL, lecturers and other interested parties.
Language:
Video in German. Transcript including slides is available.
Video in German. Transcript including slides is available.
AI guide: How can I register with Chat-AI? by S. Schorer
- by Susanne Schorer for participate@UOL, licensed under CC BY 4.0
- published in June 2025
- with an update from September 2025
Description:
This video demonstrates how to log in to the Academic Cloud’s chatbot, Chat-AI.
Click here to go directly to the Academic Cloud; further information on Chat-AI is available here.
The Academic Cloud is currently working intensively on Chat-AI and other GKI services, so the screenshots shown may differ from the latest version. The sign-up process remains the same.
Target audience:
Students and other users of the Academic Cloud and its tools.
Credits:
We welcome the use of this OER provided the following details are included:
Schorer, S. for participate@UOL (2025): How can I sign up for Chat-AI? Basic knowledge. Licensed under CC BY 4.0.
Video: ‘AI at the UOL: What you need to know!’ by S. Schorer, P. Bruns and W. J. Legtenborg
The same video with subtitles (German)
- by S. Schorer, P. Bruns and W. J. Legtenborg for participate@UOL
- licensed under CC BY 4.0
- published in December 2024
Description:
This video from the participate@UOL project provides an overview of the use of (generative) AI at the University of Oldenburg and is aimed at students and anyone else interested. It explains what AI tools such as ChatGPT can do, where their limitations lie and how they can be used effectively in everyday university life, for example when studying, creating exercises or improving texts. It also highlights why AI does not replace search engines and what potential risks, such as so-called ‘hallucinations’, may arise when using it. Furthermore, it explains why using a university email address for AI tools is problematic and what sensitive data must never be entered. Furthermore, it is explained that the rules governing the use of AI in examinations are set individually by lecturers. It is therefore emphasised why it is important to consult with them in advance and avoid misunderstandings. At the end, details of contact persons and links to further information are provided.
The video is also available with German subtitles. We also provide transcript files (including slides) in German and English.
The video is also available with German subtitles.
Files available for download:
- Video without subtitles, in German (see above)
- Video with German subtitles (see above)
- Transcript (including slides) in German
- Transcript (including slides) in English
If you are interested in further files relating to these OER, please feel free to contact us at (AP Susanne Schorer).
If you are interested in additional files relating to these OER, please feel free to contact (contact Susanne Schorer).
Target audience:
Students at UOL, lecturers and other interested parties.
Students at UOL, lecturers and other interested parties.
Language:
Video in German; transcript with slides available in both German and English.
Video in German; transcript including slides is available in both German and English.
Credits:
We would be delighted if you were to reuse these OER, provided you include the following information:
We would be delighted if you were to reuse these OER, provided you include the following information:
- Video (with and without subtitles): Schorer, S.; Bruns, P. and Legtenborg, W. L. for participate@UOL (2024). AI at the UOL. What you need to know! Unless otherwise stated, the materials are licensed under CC BY 4.0.
- Transcript including slides: Bruns, P. and Schorer, S. (2024). Transcript for the video ‘AI at the UOL’. Licensed under CC BY 4.0.
Flashcards methodology and statistics - W. Müskens
- by Dr Wolfgang Müskens for participate@UOL
- licensed under CC BY 4.0
- published in April 2025
Click here to view the learning map for R, SPSS and methods
Click here to view the learning map for descriptive statistics, inferential statistics and multivariate statistics
Description:
This learning map provides an overview of helpful self-study materials that explain how to use methods in the field of quantitative statistics. The linked resources contain introductions as well as useful tips and tricks. Navigate through the map and select the topics that interest you.
Note: The software names mentioned in this learning map may be subject to trademark, brand or patent protection even if not specifically marked as such.
Target audience:
First-year students and anyone else interested
Language:
German
Credits – we welcome the use of this OER provided the following details are included:
Learning Map: SPSS, R and Methods by W. Müskens for participate@UOL, licensed under CC BY 4.0.
Learning Map: Descriptive Statistics, Inferential Statistics, Multivariate Statistics by W. Müskens for participate@UOL, licensed under CC BY 4.0.
For re-users:
All files for the OER ‘Learning Map: SPSS, R and Methods’ available for download (in a ZIP folder)
All files for the OER ‘Learning Map: Descriptive Statistics, Inferential Statistics, Multivariate Statistics’ available for download ( in a ZIP folder)
Self-study course: Your SoWi statistics course: From theory to practice in R - materials for self-learning and teaching by S. Schnettler and S. Heinecke
- by S. Schnettler & S. Heinecke for participate@UOL
- licensed under CC BY 4.0
- published in February 2025
You can start the course by clicking on the individual module sections.
Modules 0 – Overview
Module 1 – Introduction and Motivation
Module 2 – Properties of Variables and Datasets
Module 3 – Univariate Descriptive Statistics
Module 4 – Bivariate Descriptive Statistics
Module 5
Module 6 – Inferential statistics
Module 7 – Linear regression – Introduction
Module 8 – Linear regression – Polynomials and interactions
Module 9 – Linear regression – Regression assumptions
Description:
This self-study course on statistics and statistical programming with ‘R’ was developed as part of the ‘Participate’ project at the University of Oldenburg, based on existing teaching materials from the Working Group on Methods of Empirical Social Research (AG Methoden) at the Institute of Social Sciences at the University of Oldenburg. It is primarily aimed at self-learners who wish to acquire the fundamentals of descriptive and inferential statistical methods independently within a structured course. Furthermore, the course offers valuable content to lecturers who teach quantitative methods. The materials, which are subject to a Creative Commons BY 4.0 licence, may be used for personal preparation or directly for teaching purposes, and may be shared and modified for these purposes, provided that the authors are credited and any changes are acknowledged.
The course begins by covering the theoretical foundations through lecture videos produced in recent semesters by Prof. Dr Sebastian Schnettler, Head of the Methods Working Group, and used in the ‘Statistics 1’ and ‘Statistics 2’ modules as part of a blended learning format. In recognition of its successful integration into the blended learning format, the “Statistics I” module was awarded the “Teaching Prize” in the “Best Course” category at the University of Oldenburg in the summer semester of 2019. A selection of these videos has been made for this self-study course to teach the key statistical fundamentals and to enable learners to continue their studies independently. The videos lay the foundations for understanding statistical data analysis, which is also applicable outside the social sciences.
Building on the theoretical foundations, the self-study course offers a practical R section for each module, in which the theoretical content is put into practice using the statistical software “R”. The materials in this section are based on statistics lecture notes developed by Prof. Dr Sebastian Schnettler and Dr Andreas Filser for the statistics modules of the Methods Working Group, as well as for a GESIS online module entitled ‘Introduction to Statistical Data Analysis’ in 2023. For the self-study course, this section was revised and expanded by Svenja Heinecke, a research assistant and lecturer at the Methods Working Group. Following an introduction to the practical use of R, the modules contain exercises that enable learners to consolidate what they have learnt independently. Solution files are provided for each exercise.
Target audience:
Students and self-learners wishing to independently master the fundamentals of descriptive and inferential statistical methods, as well as lecturers
Language:
German
Credits – we would be delighted if you were to use this OER, citing the following:
Sebastian Schnettler and Svenja Heinecke 2024. Your Statistics Course: From Theory to Practice in R. Materials from the social sciences for self-study and teaching. University of Oldenburg, licensed under CC BY 4.0.
Learning lab Wadden Sea
OER collection by A. Wübben
- by Anja Wübben for participate@UOL
- The collection contains a variety of materials with different licences – see there.
- Published in September 2024 – the collection is continually being expanded, most recently in February 2025
Link to the full collection: https://doi.org/10.57961/49KJ-G123
What is it about?
This collection contains learning materials centred on the themes of the Wadden Sea habitat , the coast and the ocean. It consists mainly of 90-minute lesson units featuring illustrative small-scale experiments, digital learning components and elements of Education for Sustainable Development (ESD).
The collection is currently under development; new thematic areas are regularly selected in consultation with researchers from the University of Oldenburg, adapted into teaching units for school lessons, and tested and optimised in collaboration with various schools in the region.
Topics include (as of February 2025):
- Noise in the North Sea – Suffering for porpoises (The materials were provided by twillo.de as ‘OER of the Month’.)
- Microplastics in the sea – formation and distribution
- Phytoplankton – Small but mighty
- Fishing in the North Sea – and its dangers
- Salt marshes on the North Sea coast
- Oil pollution in the Wadden Sea
- Ocean acidification
- The freshwater lens
- Light pollution in coastal areas
How can the OERs be used?
The learning units (or individual components thereof) can be easily integrated into school science lessons or into environmental education at out-of-school learning venues , as, in addition to the workbooks , sample answers, subject-specific background information in the form of factual analysis, complete lists of materials for the experiments and tabular lesson plans – including suggested classroom discussions – are provided.
The teaching units were developed under the guidance of Anja Wübben for participate@UOL at the ‘Wadden Sea Learning Laboratory’ (http://www.lernlabor-wattenmeer.de/) in collaboration with students on various biology teaching methodology courses, and have been tested in practice with pupils on several occasions and optimised accordingly.
contact:
Anja Wübben
Target audience:
Teachers and trainee teachers at secondary levels I and II
Language:
German
Credits:
We welcome the reuse of these materials. The exact details vary depending on the material and are provided there.
Short series "Correct argumentation" by M. Siebel and W. J. Legtenborg
This short series of self-study videos on the topic of "Arguing correctly!" contains three videos:
| The interview introduces the topic and emphasises the importance of good argumentation. Click here to go directly to the interview for the self-study course "Arguments", |
 | In the second, interactive video, the most important components of arguments and their evaluation are explained. Click here to go directly to the video "Recognising, understanding and evaluating arguments". The download link for the interactive video is here. |
 | In the third video in this series, three types of argument are presented and evaluated as examples. Click here to go directly to the video "The evaluation of special argument types". |
- by M. Siebel and W. J. Legtenborg for participate@UOL
- licensed under CC BY 4.0
- published in June 2024
Description:
Discover our short series ‘Arguing Effectively!’ and improve your argumentation skills. Start with the introductory video, which highlights the relevance of persuasive argumentation in today’s world.
The first self-study video then explains key components of arguments and how to analyse them in a practical way. Interactive exercises allow you to apply and consolidate what you’ve learnt straight away.
In the second self-study video, you’ll learn all about the types of argument known as ‘enumerative induction’, ‘causal inferences’ and ‘straw man arguments’ – presented in a clear and accessible way.
Why not have a look?
Target audience:
Students and other interested parties who would like to know what constitutes a good argument.
Language:
German
Credits:
We welcome the reuse of our videos provided the following details are included:
- Interview on the self-study course ‘Arguments’ by Mark Siebel and Wiebke J. Legtenborg for (2024). With the exception of the logos, the material is licensed under CC BY 4.0.
- Recognising, Understanding and Evaluating Arguments by Mark Siebel and Wiebke J. Legtenborg for (2024). With the exception of the logos, the material is licensed under CC BY 4.0.
- Evaluating Specific Types of Arguments by Mark Siebel and Wiebke J. Legtenborg for participate@UOL(2024). With the exception of the logos, the material is licensed under CC BY 4.0.
Feedback:
We welcome feedback on the material.
For re-users:
Videos 1 and 3 are in MP3 format; the second, interactive video is created using H5P.
Click here to download the relevant files directly:
"Game-based learning and virtual reality medicine and natural sciences" - a padlet compilation of freely available offers for use in teaching by S. Quintes
- by Dr Susanne Quintes for participate@UOL
- Licensed under CC BY 4.0 – all templates, graphics or other elements generated by Padlet itself are excluded from the licence.
- Published in March 2024
Description:
This Padlet provides an overview of teaching and learning resources that present and convey content using game-based elements (also known as game-based learning or edutainment ). The focus is on free, widely accessible resources that can be easily integrated into your own teaching.
Target audience:
Teachers, students and anyone else who is interested
Language:
German
Credits – we would be delighted if you were to use this Padlet, provided you include the following information:
“Game-based learning and virtual reality in medicine and the natural sciences”by Susanne Quintes, licensed under CC BY 4.0 – all templates, graphics or other elements generated by Padlet itself are excluded from this licence.
Feedback:
We welcome feedback on the material.
Learning map with self-learning materials for Office applications by W. Müskens
- by Dr Wolfgang Müskens for participate@UOL
- licensed under CC BY 4.0
- published in December 2023
Click here to view the learning map
Description:
Are you actually familiar with the software you’ll need to use during your studies?
This learning map provides an overview of helpful self-study resources that explain how to use Office software during your studies. The linked resources contain introductions as well as useful tips and tricks for the following programmes: Word, Excel, LaTeX, PowerPoint and Citavi. Navigate through the map and select the topics that interest you.
Please note: The software names mentioned in this learning map may be subject to trademark, brand or patent protection even if not specifically marked as such.
Target audience:
First-year students and anyone else interested
Language:
German
Credits – we welcome the use of this OER with the following attribution:
Learning Map: Office Applications by W. Müskens for participate@UOL, licensed under CC BY 4.0.
Feedback:
We welcome feedback on the material.
For re-users:
All OER files available for download (in a ZIP folder)
Sociometry and social network analysis in pedagogical contexts - a self-study course for the programming language R by P. R. Kulawiak
- by P. R. Kulawiak for participate@UOL
- licensed under CC BY 4.0
- published in September 2023
Click here to view or start the course.
Description:
This self-study course teaches you the first steps in using the R software (or R Studio) to analyse sociometric data for social networks and to visualise the results. Prior knowledge of R is recommended; technical requirements will be clarified at the very start of the course. The material includes both exercises to try out and extensive references for further reading. It comprises the self-study course and two example files that can be used to complete the exercises.
Target audience:
Students with prior knowledge of the R software. The installation of R Studio and the necessary components is covered in the course under the heading ‘3 Prerequisites’.
Language:
German
Credits – we welcome the use of this OER under the following conditions:
Sociometry and social network analysis in educational contexts with R by P. R. Kulawiak for participate@UOL, licensed under CC BY 4.0.
Feedback:
We welcome feedback on the material.
For re-users:
All OER files available for download (in a ZIP folder)
Systematic Reviews in Educational Research - an Interview by D. Ifenthaler and O. Zawacki-Richter (in English)
- by Dirk Ifenthaler and Olaf Zawacki-Richter for participate@UOL
- licensed under CC BY 4.0 – https://creativecommons.org/licenses/by/4.0/
- published in March 2023
Description / Description
Prof. Dr Dirk Ifenthaler interviews Prof. Dr Olaf Zawacki-Richter on conducting systematic reviews for educational research, covering approaches, general challenges, benefits, tools, experiences and other relevant topics.
Prof. Dr Dirk Ifenthaler interviews Prof. Dr Olaf Zawacki-Richter on conducting systematic reviews in educational research regarding the approach, general problems, benefits, tools, experiences and other relevant topics. The interview provides many valuable insights into a relatively new and growing field of research.
Target audience / target group
Master’s or PhD students in Education and related fields, as well as for use in relevanthigher education courses on the subject.
Master’s or doctoral students in Education and related fields, and for use in higher education teaching.
Language / Language
English / English
Credits – we would be delighted if you were to use this OER, provided you include the following details:
Systematic Reviews in Educational Research by D. Ifenthaler and O. Zawacki-Richter, for participate@UOL, licensed under CC BY 4.0.
or: Systematic Reviews in Educational Research by D. Ifenthaler and O. Zawacki-Richter for participate@UOL, licensed under CC BY 4.0.
Feedback:
We welcome feedback on the material.
Miscellaneous / other
Video (MP4) – duration approx. 55 mins.