Before agreeing to participate in the study, it is important that you read the following explanation.
Title of research: Understanding the value of Large Language Models for higher education. An online survey study. This research is conducted by Dr. Olya Kudina as the Principal Investigator (PI).
Researchers: Olya Kudina, Assistant Professor, Department of Values, Technology and Innovation, Section Ethics/Philosophy of Technology, Delft University of Technology, NL
Project duration: February 2023 – February 2025
Purpose of the research: The purpose of the study is to gain an understanding of the extent and nature of use by the students of Large Language Models (LLMs) (e.g. ChatGPT) in the context of higher education. The study is in the form of an open-ended qualitative questionnaire on the web-based interface of Google Forms (i.e. online survey). The results of the study will contribute to an empirically informed philosophical analysis that aims to outline (1) a developmental perspective of the value of education and how it can be adapted to critically appropriate the use of LLMs, (2) develop several response strategies for the higher education settings, and (3) generate recommendations for a more responsible design and societal introduction of LLMs.
Confidentiality and data management:
Throughout
the online questionnaire, we will collect the abstract data on your
demographics for gaining an awareness on the pool of respondents (i.e. age
range, the level of study and field of study), as well as your qualitative
answers to the questions. We will not collect personally identifiable
information (e.g. your name, email address, IP address, etc.) to ensure a
privacy-sensitive and confidential report of the data. To facilitate this
within the Google forms, the settings have been set to work without Google
sign-in and without any collection of the personally identifiable information
within the questionnaire. All the collected data will thus be by default
anonymous. Your
aggregated data and qualitative responses, being anonymous, may be used for research
and publications and shared with other researchers for the purposes of this
project. Therefore,
please, do not provide any personally identifiable information
in your responses (e.g. your name) to comply with the data protection
procedures for this study.For the
project duration (until February 2024), your anonymous data will be stored on
the SURFdrive cloud storage. The
anonymous data will be available to the researchers in this
project with organizational login access. The
data are stored in the Netherlands. After the project,
the anonymous data
will be transferred to the 4TU.Center for Research Data as a data repository
for a period of 10 years. The anonymous data will have open access. The data is stored in the Netherlands and
complies with the
international Data Seal of Approval standard.
Explanation of procedures: To qualify for the study, you must be at least 18 years old, be fluent in English and be a higher education student (undergraduate/bachelor's, graduate/master's or postgraduate/PhD student). When you first follow the link to the online survey, you will be asked to fill in this Informed Consent form digitally by reading this Information Sheet and answering the Informed Consent questions. Only if you complete the informed consent form and agree to the proposed statements will you have access to the questionnaire.
If you agree to participate in the study, you will be invited to answer a series of questions describing your experiences with Large Language Models in the context of your studies. The questions will ask you to narrate your experiences and provide suggestions and ideas regarding the potential integration of LLMs in higher education or debate its desirability. The estimated duration of answering the questions ranges from several minutes to 10-15 minutes, depending on the person.
Risks:
The
main risks of participating in the study are linked to the incidental revealing
of your personally identifiable information in the filling out of the qualitative
questions in the survey. This risk will be mitigated by manually filtering in
and coding the qualitative data, removing any personally identifiable
information should it be filled in. The data interception and reidentification risks
are thus minimal. Participation in the study is otherwise safe for you.Withdrawal without prejudice: Taking part in the study is voluntary. You are free to withdraw consent or discontinue the study at any time, without prejudice from the researchers.
Questions: Any questions concerning this LLM study and/or in the case of issues due to the research can be directed to the PI, Olya Kudina, either in person or via
o.kudina@tudelft.nl.
After reading the explanation of the study above, please, answer the following questions by ticking the “Yes” or “No” before proceeding to the questions. If you disagree with at least one of the statements below, please, select the "No" option.