Digital Literacy for Empirical Research#
DiLER or Digital Literacy for Empirical Research aims to provide cost-free, open Educational Resources for students, early-stage researchers, and teaching staff.
DiLER is a 2022 Partnership of the Digital Teaching and Learning Lab“ (DigiTeLL) hosted by the Goethe-University Frankfurt.
Digital Literacy#
Students, as well as researchers at all levels, are nowadays necessarily dependent on digital skills & tools to adapt to the rapidly evolving scientific landscape.
We aim to teach these skills through free online resources to bridge the gap between the fortunate few profiting from Academia and lab culture and the general (student) population.
Further, we aim to make our resources as FAIR (Findable, Accessible, Interoperable, Reusable) as possible. We believe that the work that teaching staff puts into their courses and content should be made available as widely as possible, extending from the university to the people. The courses and course templates provided are built with the idea of sustainability in mind. Through the use of GitHub pages and Jupyter Books, we provide a permanent, citable online presence for the content we (and maybe you, if you adopt our learning design) create.
Resources under the DiLER Project#
The DiLER Project has produced several resources for individuals interested in modern and flexible teaching, digital literacy, and scientific research. Our courses are mainly conceptualized as self-paced, self-study resources. If you are interested in adapting some of the content for your own work, are interested in attending Workshops on the introduced topics, or would like to contribute to our project, please reach out to us via the information provided at the bottom of this site.
Below is a non-exhaustive list of what we have to offer:
Tutorials#
Get started with using Jupyter Book to create beautiful, interactive books and documents. This tutorial will guide you through the process of using Jupyter Book to produce dynamic content that is perfect for modern teaching.
This course template is designed to make it easy for you to create a well-structured, easy-to-navigate, and visually appealing course. The template includes all of the necessary components for a complete course, including slides, handouts, assignments, and more.
Digital literacy#
In today’s digital world, it is essential to have a basic understanding of the technologies and tools we use daily. This course is designed to give you an overview of the most essential concepts and skills in digital literacy.
University Courses#
This course provides an introduction to the field of cognitive and computational neuroscience, with a focus on the use of machine and deep learning techniques to analyze neuroscientific data.
This course is designed for psychologists and other behavioral scientists who are interested in using Python for their research. The course covers the basics of Python programming, including data structures, control structures, and functions, as well as more advanced topics such as data analysis and visualization.
This course provides an introduction to the methods and techniques used in empirical research in neurocognitive psychology. Topics covered include experimental design, data collection, and analysis, and the interpretation of results.
We hope that you find these resources useful and enjoyable. If you have any questions or feedback, please do not hesitate to contact us.
Workshops#
A workshop on leveraging containerization solutions for reproducible science, created in collaboration with Aaron Reer, supported by the Open Science Initatitve of the Carl von Ossietzky Universität Oldenburg.
How to reach the content creators#
The contact information of the instructors are as follows:
Office hours: upon request
E-mail:
ernst@psych.uni-frankfurt.depreferred mode of contact: via e-mail
How to address one another?
He/Him. When contacting me, please refrain from using honoraries and formal language, “Michael” or “you” is fine as long as the content is respectful, fair and constructive (I aim for the same when I reply). However, please let me know if you have a preferred way of interacting with other folks, including how you would liked to be addressed, your pronouns and the level of formality.
Felix Körber
Office hours: upon request
E-mail:
koerber@psych.uni-frankfurt.depreferred mode of contact: vie e-mail
How to address one another?
He/Him. If you want to reach out, skip the formalities and just use “Felix” or “you”, as long as the content is respectful, fair, and constructive (I aim for the same when I reply). However, please let me know if you have a preferred way of interacting with other folks, including how you would like to be addressed, your pronouns, and the level of formality.
If you have: - questions about course content - these are awesome! We want everyone to see them and have their questions answered too, so please use the GitHub repository.