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Welcome

We cordially invite you to participate in our study. In order for you to participate, we need your consent. Please read through the questions and answers and give us your consent on the next page if you would like to participate.

What is the study about?

We would like to find out how different teaching methods influence knowledge acquisition. To this end, we have developed a teaching experiment in which we test several types of knowledge transfer; you will only receive one of them. Afterward, you will receive all the information about the experiment.

Will it take long?

We estimate that you will need approximately 20 minutes to participate.

Are there any risks?

There are no risks for you.

What will happen to my data?

We will use your answers and materials anonymously for our research. The data itself will initially be collected exclusively using our questionnaire tool and processed and stored by our research team. This includes passing on this non-identifiable data to other researchers for the purpose of testing, replication, verification, or inclusion in so-called meta-analyses. If you contact us, we will delete your contact details (e.g., email address) along with your messages after one month.

Can I have my data deleted?

We can only delete your data if we can clearly identify it. Since we anonymize the data, we unfortunately cannot identify your entries and therefore cannot delete them. If you contact us, you can of course insist on the deletion of the email correspondence.

Can I withdraw from the study?

Yes, you can withdraw from the study or revoke your consent at any time without negative consequences.

Is AI used in this study?

As part of this study, you may use an application developed by us that includes an AI-powered chatbot. Your text inputs will be transmitted by our application via an application programming interface (API) to our internal LLM models. On our own servers, your inputs and the corresponding AI responses are stored in anonymized form for research purposes.

Recommendation: Please do not enter any sensitive personal data into the chatbot (e.g. full names, student ID numbers, dates of birth).

For more information on data protection for SoSci Survey, please visit: https://www.soscisurvey.de/de/data-protection

 

 

Who is responsible for processing my data?

Technical University of Munich, Professorship of Applied Education Technologies (Prof. Dr. Stephan Krusche), TUM School of Computation, Information and Technology, Boltzmannstraße 3, 85748 Garching bei München, Germany.

What is the legal basis for processing my data?

Your consent (Art. 6(1)(a) GDPR). You may withdraw your consent at any time with effect for the future (Art. 7(3) GDPR); this does not affect the lawfulness of processing carried out before the withdrawal. Raw data will be anonymised after analysis and deleted by 31 December 2027 at the latest.

What are my rights?

You have the right of access (Art. 15 GDPR), rectification (Art. 16 GDPR), erasure (Art. 17 GDPR), restriction of processing (Art. 18 GDPR), data portability (Art. 20 GDPR) and to object (Art. 21 GDPR). As we do not collect names or contact details, we usually cannot link your responses to you; these rights can then only be exercised if you provide information that allows us to identify your record unambiguously (Art. 11 GDPR).

Who can I contact if I have concerns about data protection?

If you have any concerns about data protection, you can contact the TUM data protection officer, Dr. Fabian Franzen, at beauftragter(at)datenschutz.tum.de at any time. You also have the right to lodge a complaint with the competent supervisory authority: the Bavarian Data Protection Commissioner (Der Bayerische Landesbeauftragte für den Datenschutz), Wagmüllerstraße 18, 80538 Munich, Germany, www.datenschutz-bayern.de.

Who is conducting the study?

The project is being conducted as part of a doctoral thesis at the Technical University of Munich.

I still have questions!

We know that feeling well! Simply write to our study director Prof. Dr. Stephan Krusche (krusche@tum.de), or better yet, the responsible doctoral student Ben Lenk-Ostendorf (ben.lenk-ostendorf@tum.de).