Personal and professional development of all Helmholtz researchers - ranging from undergraduate students to established scientists - is a central part of the Helmholtz mission. All across the Association, efforts are underway to enable and ensure this.
Training programs and courses for doctoral researchers, Postdocs or research groups are developed, deployed and managed and require skills and resources.
This participant-driven event brings together
to exchange experience and best practices, collaborate and share resources on the whole education life cycle, and — of course — specific training programs.
With the colleagues from different Helmholtz Centers and partnering institutions we plan to give YOU the opportunity to network and dive into education topics across disciplines.
The event will be hosted in Gathertown. In our space you will be able to listen to our talks, attend workshops, and of course network with each other! You will be able to learn more about our platforms, partners, and more. Do not miss the opportunity get to know peers from other Helmholtz centers during the lunch break and in our after hour session!
This is an open community event. Join us in creating and shaping an educational network within Helmholtz!
Please find the registration button at the bottom of this page and register if you are interested in participating! Everyone who is registered will receive an ical inivitation and a reminder including detailled information before the event takes place. Registration remains open until November 7 at noon. Should there be individuals who want to join last minute, feel free to forward the information to anybody interested!
We are very much looking forward to meet you at the second installment of TEACH in 2022!
Note: to register, it is required that you are logged in via Helmholtz AAI (Quick Guide). If you do not have access to it, you can also contact the organizers under hida-courses@helmholtz.de, and we can register you.
This is the opening event for the TEACH 2.
We will give a short overview over organization and proceedings.
Open Educational Resources (OER) have been a topic in the discourse on education in a digital world for many years. Starting as a grassroots movement it politically took off in Germany only in 2016 when the first funding program was published. This was much later than in other countries such as the United States, the United Kingdom or France but Germany showed itself eager to catch up and financed several programs in order to raise awareness for OER.
The topic has regained attention and popularity, especially in the wake of the corona pandemic, through the increased implementation of online classes and webinars. In recent years, numerous state portals have been created by the federal states that provide OER and also support the creation of OER. OER policies are also being increasingly introduced at universities. In addition, the Federal Ministry for Education and Research (BMBF) presented the federal government's OER strategy in July 2022 and announced future funding programs.
Besides the political history and future prospects linked to OER we look at the embedding of OER in learning scenarios and what promises and expectations are associated with the use of OER. How do they help in moving towards a new culture of learning and the implementation of Open Educational Practices? Which further potentials can be drawn from OER? OER tend to create a vision a digital easy-to-use learning environment. How easy are OER really implemented and how can we ensure high quality resources are used in these environments?
About one year ago we opened the Jugend hackt Labs in Dresden, Görlitz and Freiberg, where teenagers (aged 12-18) are welcome to learn to program and get in touch with AI. As this is an extracurricular activity, our main goal is to keep the teenagers motivated and excited, so they will come back next time. As we soon realized that structured workshops did not meet the youngsters' needs, we decided on an alternative format, the Open Labs. In this format, the teenagers are free to choose what they want to do from different prepared materials and with mentors to help them. This not only gives them the freedom to pursue their own projects but supports their personal development, self-confidence and autonomy. This presentation will give you an overview of our experiences, the methods we used, and the materials for the Open Labs.
Artificial intelligence (AI) and Machine Learning (ML) techniques have been developing more and more rapidly over the past few decades and teaching these methods can be very complicated even when students have good math and programming skills. Moreover, the background of the target group may be very diverse, especially for a single introductory lecture. We describe here our experience in a three-hour crash course on introduction to AI and its medical applications, in which we alternated theoretical and practical sessions that could be engaging for students with different abilities and knowledge. The goals of the lecture were to demystify AI, introduce the challenges and current limitations of Deep Learning (DL), and present applications to the medical domain. The modularity of the course and choice of examples and tasks applied to the medical field interested the students who considered them authentic and relevant. The lesson has been positively evaluated by the students and their feedback identifies an NPS of 27 and an average of 8.2 over 10 when asked how likely they are to recommend the course to colleagues or friends.
During the process of composing teaching material and preparing for a lesson, an instructor typically bears in mind an expected composition of his/her audience with respect to prior knowledge, speed of learning, and expectations. In this discussion, we would like to present our approaches to assessing these 3 dimensions before a workshop starts in order to prepare the teacher for his/her students. We will share some typical questions we survey with and explain how it helps us to target our content better. Moreover, it can provide a solid baseline for teachers with respect to preparing group activities to foster a community of learners in the classroom. The largest part of the discussion will be devoted to an exchange of experiences by the participants on assessing learner communities before they meet in class and on how to improve for future workshops.
While working on their thesis projects, doctoral researchers acquire both scientific and transferable skills. To foster the development of transferable skills, Imperial College London, Helmholtz school coordinators, and the head office of the Helmholtz Association have jointly established and actively contributed to a series of three courses that complement the work on the scientific projects. Academic and industry tutors ensured relevance for careers within and outside academia. Employing peer-based learning, participants get intense opportunities to focus on developing skills such as teamwork, time management, conflict management, leadership, presentation, and communication. The three consecutive courses have been offered to Helmholtz institutes and university collaboration partners since 2006. Subject to the availability of places, the courses are open to doctoral researchers all across Helmholtz.
Helmholtz school coordinators currently run and continuously develop the courses "Research Skills Development", "Leadership Skills in Research", and "Career and Leadership Development" in cooperation with Coaching4Careers. They are designed to accompany the thesis project's first, second, and last year. We believe that the consistent framework and content facilitates the development of a solid set of transferable skills. Furthermore, the diversity and networking opportunities with colleagues from other Helmholtz centers enhance the learning experience. In this workshop is open to all interested colleagues but specifically targets personnel developers, coordinators, and supervisors. We will introduce you to the concept of the Helmholtz Transferable Skills courses and outline their development over the years. You will also have an opportunity to experience peer-based learning.
Creating teaching materials for courses and workshops is time-consuming. Open educational resources (OER) can help to reduce the time load. But even if more and more courses are made public, there are still barriers.
As every trainer knows, there is not the "one-course-fits-all" solution. So in order to truly use the potential of OER, there is a need of highly adaptable materials.
In this talk I like to present a repo for ML teaching materials on GitHub. The approach combines the idea of making a collection available instead of a complete course and using the advantages provided by the platform GitHub.
Finally the lessons learned from the project will be outlined.
"Please rate the difficulty level from 1 (poor) to 5 (very good)" - We all have been asked this question after participating in a training course. But will our answer provide meaningful feedback about the quality of the course content? Will this feedback allow to adapt the course design accordingly and purposefully?
Most of us are "instructional designers-by-assignment". We have profound professional knowledge about the content to be taught but little training in didactics. As a consequence, we put a lot of love and effort into the training courses and learning materials we create. We carefully define teaching situations to help learners acquire the desired knowledge, skills and abilities while we often fall short on evaluation that could help us improve the content, structure and material of our courses. Naturally, we should want to properly assess our training courses using a strategic approach.
Continuous and ongoing formative assessment already during instruction can help to evaluate teaching and learning performance on the fly. In this workshop, we will focus on how to define suitable learning objectives that can be evaluated intermittently throughout online training events. We will demonstrate and discuss tools and methods that can easily be integrated in our teaching workflow to benefit the assessment of our teaching success and additionally keep our participants involved and active.
You are looking for open content such as images, music, or text; Repositories for finding and disseminating OER for schools, vocational training, universities or further education and tools for creating OER? Are you looking for answers to legal questions? You can find all this and much more on OERinfo. Join us on a virtual tour and learn more about the German-speaking OER landscape. Discuss the added value of OER and research and produce open educational materials independently or collaboratively.
Mental Health First Aid (MHFA) courses were developed initially in Australia and are now delivered in several countries worldwide. Recently, and particularly during the pandemic, the importance and lack of mental health awareness in academia became apparent to many colleagues. We will introduce the scope, content, and structure of the MHFA courses that are offered in Germany. We have organised several MHFA courses that were delivered by external trainers and addressed colleagues in Helmholtz institutes, including but not restricted to coordinators and supervisors involved in the education of young scientists. We will also share our thoughts and feedback that we received after offering the courses. Following our presentation, there will be time for questions and discussion.
This presentation gives an overview over how HIFIS organizes their workshops.
We will also cover the tools used and share some of the tricks we learned (sometimes the hard way 😀 )
Posters on education topics to facilitate the sharing of ideas and spark discussions. There will be representatives of all posters present who are open for exchange and to answer your questions.
Blended learning is a not a new concept, but certainly has experienced an increase in usage and presence on the educational market in recent years. Especially Covid 19 has lead to a significant rise in study programs relying on online delivery and blended learning modalities only. In turn, this has reduced potential barriers for internationalizing study programs. The poster presents the blended learning approach in an MSc curriculum in Business studies, from conceptualization of the blended learning elements, to challenges on student and lecturer side during their application, as well as lessoons learnt. The latter is partly generalizable and can be used as an input for future blended learning approaches in ones own teaching efforts and formats.
“Democratising AI” – that is the motto for the Helmholtz AI consultants. With our scientific consulting, we enable Helmholtz researchers from all domains to leverage AI for their datasets by providing comprehensive support with AI methods, tools, and software engineering. And this does not only apply to scientists working on their own research projects. We also offer courses, workshops, lectures, and challenges on various AI-related topics. On our poster, you can find an overview of past teaching experiences from the different consultant teams. These include an in-depth introductory course to deep learning using the flipped classroom approach, advanced courses on AutoML and explainable AI with multiple hands-on sessions, data challenges introducing the learners to domain adaptation tasks and making them experiment and search for personal solutions to complex and current problems, and crash courses on AI for a broader and less technical audience.
You are curious to learn more? Then drop by our poster and let’s have a chat.
LearningSnacks ist ein kostenloses online Tool um selber kurze, interaktive, multimediale Lerneinheiten zu erstellen. Die vielfältigen Einsatzbereiche und Fragemöglichkeiten werden dargestellt.
A nice get-together to informally connect and network.