Using Socratic AI to Support Research Question Development Among Pre-Service Biology Teachers 

Survey Period: Jun 30, 2025 - Jul 22, 2025 Survey Data Type: Quantitative Data

Data package description This data package contains the anonymised study data and analysis-ready files from a feasibility study investigating AI-mediated instructional guidance for the development of research questions among pre-service biology teachers. T... morehe study compared two experimental conditions: Socratic Tutor, in which the AI system was instructed to support students through structured Socratic questioning and dialogic guidance; and Non-socratic Tutor, in which students interacted with an AI chatbot without the corresponding pedagogical instruction. The dataset comprises 123 session-level observations from 65 unique participants. Because some participants took part in more than one study session, participant identifiers occur repeatedly across rows. The variable PersonID identifies individual participants and should therefore be used when accounting for the repeated-measures structure of the data. The final sample consists of: 36 participants in the Socratic Tutor condition 29 participants in the Non-socratic Tutor condition 65 participants in total The dataset includes, among other variables: experimental condition participant identifier study group and session information demographic information, including age, gender, and number of university semesters variables relating to the research-question-development tasks participant responses and evaluation measures collected during the study less

The Student Survey in Germany (2021) 

Survey Period: May 4, 2021 - Sep 19, 2021 Survey Data Type: Quantitative Data

"The Student Survey in Germany" (2021) is a newly designed study that integrates three previously separate student surveys (Beuße et al., 2022): the Social Survey (Middendorff et al., 2017; Middendorff & Wallis, 2023), the Student Survey (Multrus et al... more., 2017; Multrus, 2021) and the survey "best - Studying with impairments" (Poskowsky et al., 2018; Unger et al., 2012). The study is designed as a cross-sectional survey with a long-term character. The new, integrated student survey thus continues the long tradition of the Social Survey and the Student Survey as important cross-sectional long-term observation studies for describing and analysing higher education and the student population in Germany, as well as the significantly shorter tradition of the previous "best studies". The survey covered a variety of topics relating to the study situation and the different life situations of students in Germany. The content of the programme is very diverse, as the thematic focuses of the previously separate surveys were integrated. In the tradition of the Social Survey, the economic and social situation of students is analysed (Middendorff, 2022). This focus is supplemented by topics from the student survey (Multrus et al., 2017). In addition, for the first time the new study design enables comparisons between students with and without health impairments that make studying difficult (Steinkühler et al., 2023). By combining survey content in this way, cross-connections between different subject areas can be established. This data package contains the survey data from the summer semester 2021. less

Student Survey 2007 

Survey Period: Jan 1, 2006 - Dec 31, 2008 Survey Data Type: Quantitative Data

The tenth survey of the Student Survey covers the following topics: access to higher education, choice of subject, motives and expectations; study strategies, course of studies and qualifications; study intensity, time required and duration of studies; stu... moredy requirements, regulations and examinations; contacts and communication, social climate, counselling; subject-related studies, situation of teaching and quality of studies; student lifestyle, social situation, employment; Difficulties, impairments and burdens; New media and Internet in studies and teaching; Higher education policy, participation and student representation; Internationality and European Higher Education Area (Bachelor/Master); Career choice, career values and fields of activity; Career prospects and labor market reactions; Social perceptions and political participation; Wishes and demands for higher education development; Demographic and educational biographical data. The data are based on random samples at 16 universities and ten universities of applied sciences in West Germany and comprise 558 items (plus additionally created variables). less

Eurostudent VII 

Survey Period: Feb 1, 2019 - Jan 1, 2021 Survey Data Type: Quantitative Data

The EUROSTUDENT project collects and analyses comparable data on the social dimension of European higher education. A wide range of topics related to students’ social and economic conditions are covered. The project strives to provide reliable and insightf... moreul cross-country comparisons. It does this through coupling a central coordination approach with a strong network of national partners in each participating country. In this way, an assessment of the strengths and weaknesses of the respective national frameworks in international comparison can be made. The main users of our findings are higher education policy-makers at national and European level, researchers in this field, managers of higher education institutions and - of course - students all over Europe. less

National Academics Panel Study (Nacaps) 2018 

Survey Period: Feb 18, 2019 - Jun 7, 2024 Survey Data Type: Quantitative Data

Nacaps, the National Academics Panel Study, is a new longitudinal study of doctoral candidates and doctorate holders in Germany funded by the Federal Ministry of Education and Research (BMBF). The project aims at providing nationwide cross-sectional and lo... morengitudinal data on doctoral candidates and doctorate holders in Germany regarding their study conditions as well as their career trajectories within and outside of academia. The Nacaps study series apply a panel design to multiple cohorts. Nacaps 2018 is the first cohort in this series of studies. In 2019, all doctoral candidates registered at 53 higher education institutions entitled to award PhDs/doctorates in Germany as off 01.12.2018 were invited to a first survey. Further panel waves follow at yearly intervals. Topics of the survey are e.g. the kind and structure of doctoral studies, motives for conducting doctoral studies, the mentoring situation, working and employment conditions, plans for career paths after the doctorate, international mobility, as well as individual characteristics of respondents. By covering these topics and by considering important indicators on young scholars, the Nacaps data provide important knowledge for national reporting (e.g. the federal report on young academics called “Bundesbericht wissenschaftlicher Nachwuchs”), for local steering, as well as for numerous further stakeholders. Moreover, the data offer an opportunity to investigate scientific research questions in the field of academic careers. less

Development and dissemination of research data management at Universities of Applied Sciences (EVER_FDM) 

Survey Period: Oct 21, 2022 - Mar 8, 2023 Survey Data Type: Quantitative Data

The survey was conducted as a standardized online survey that primarily covered three topics: Awareness, activities and needs regarding research data management. The sample included all Universities of Applied Sciences (UAS) in Germany (full coverage surve... morey) and the target groups were professors and research assistants at these institutions. Initially, one person from the presidential board/rectorate as well as one person responsible for research data management (RDM) at each UAS was identified and contacted by e-mail. These persons were asked to forward the questionnaire link to the research-conducting staff at their university. This way, 2,456 people from 109 UAS were recruited to participate in the survey. A pretest ensured the quality of the questionnaire. The preparation and analysis of the data was done syntax-based using Stata. less

Sustainable Working Conditions in Academia Survey (STAIRCASE Survey) 

Survey Period: Sep 15, 2023 - Aug 26, 2024 Survey Data Type: Quantitative Data

This initial release (April 2024) is a Campus Use File, intended for teaching and training purposes. For data protection reasons, it contains a limited number of variables. The Scientific Use File for research purposes is expected to be released in early M... moreay 2026 . If you are a member of the Researcher Mental Health Observatory (ReMO) project group, please contact userservice[at]dzhw.eu for project-specific data access. The dataset contains a wide range of psychological, occupational, and demographic variables from individuals working in academic environments. It includes information on psychometric scales, characteristics of the working environment, and traits of leadership personnel. Collected data includes measures of work engagement, burnout, resilience, stress and anxiety, overall wellbeing, job predictability, role clarity, perceptions of workplace safety policies, job insecurity, job control, interpersonal conflict, work-family conflict, sense of community, illegitimate tasks, work-related stress, as well as emotional and instrumental support. Leadership aspects such as leader demands, lack of care, supervisor integrity, and overall job satisfaction were also assessed. Furthermore, several characteristics of the working environment were surveyed, including the country of the main workplace, contract duration, overtime hours, time allocation for teaching, research, fundraising, mentoring, and administrative tasks, number of research outputs, opportunities for personal development, intentions to leave academia, experiences or perceptions of harassment, and frequency of meetings with supervisors. less

DZHW Scientists Survey 2023 

Survey Period: Jan 13, 2023 - Mar 31, 2023 Survey Data Type: Quantitative Data

The DZHW Scientists Survey 2023 is an online survey of full-time academic and artistic staff at German universities and equivalent institutions of higher education with the right to award doctorates. It is repeated at regular intervals as a trend study to ... moreexplore the working and research conditions at German universities and equivalent institutions of higher education. The DZHW Scientists Survey 2023 was conducted from January to March 2023. The respondents therefore take a retrospective look at their working and research conditions during the Covid-19 pandemic and their current post-pandemic situation. The previous Scientists Surveys took place in 2010, 2016 and 2019/2020. The DZHW Scientists Survey is designed as a multi-topic survey. Each survey consists of a core questionnaire with central questions, many of which have already been asked in one or more previous Scientists Surveys, as well as advanced modules with questions on focus topics. The core questionnaire contains the following thematic blocks: “Key data on scientific biography”, “Research and working conditions”, “Research funding”, “Publication behavior and knowledge transfer”, “Science policy topics and attitudes” and “Demography”. Within these thematic blocks, the topics “Continuing education courses in higher education didactics”, “Considerations on leaving academia” and “Research during the Corona pandemic” were included in the DZHW Scientists Survey 2023 for the first time. The focus topics in the advanced modules of the DZHW Scientists Survey 2023 were “Research Information/Digital Infrastructures/Informational Self-Determination”, “Digital Scholarly Communication”, “Science Mobility”, “Research Funding”, “Trust within Science”, “Tenure Track and Researcher Independence” as well as “Peer Review and Lotteries in Research Funding”. less

Organising, teaching and learning digital higher education (digihub.org) Interview data 

Survey Period: Mar 1, 2023 - Sep 30, 2023 Survey Data Type: Qualitative Data

The project "Organising, Teaching and Learning Digital Higher Education (digihub.org)" is a research project funded by the Federal Ministry of Education and Research (BMBF) and carried out by the universities of Halle-Wittenburg and Paderborn. The aim of t... morehe joint project was to empirically reconstruct the change in higher education triggered by the switch to online teaching during the Covid 19 pandemic at both an individual and organisational level. The data package made available for re-use is based on the qualitative problem-centered interviews conducted as part of sub-project 3 ‘examining teaching’ at Paderborn University with professors who have developed and implemented innovative ideas in their teaching through interaction with digital technologies. The interviews were conducted between March and September 2023 and focused on the description of teaching concepts and planned future adjustments, the motivation for teaching commitment and any role models, questions about organisational support in the implementation of teaching concepts and ideas as well as challenges and solution strategies, the understanding of ‘good teaching’ and related changes in the context of the digitalisation of university teaching. Additionaly, the extent to which changes in society as a whole have an influence on the design of teaching and which changes to improve teaching should (or should not) be made in the coming years (at their university) from the interviewees' point of view were also discussed. In addition to the 18 interviews with professors from different career levels and disciplinary cultures, the data package includes the data and methods report, the guidelines used for the survey, the transcription guide and the data protection and consent form. less

Transfer of Insights from Higher Education and Science Research into University Management (TransForM) 

Survey Period: Sep 27, 2023 - Dec 15, 2023 Survey Data Type: Quantitative Data

The focus of the BMBF funded research project “Transfer of Insights from Higher Education and Science Research into University Management” (TransForM) revolves around the question to what extent insights from science and higher education research can suppo... morert university management tasks by means of a suited knowledge transfer and, thus, contribute to the professionalisation of this work environment. The term “university management” is broadly construed to include both the executive and middle levels. The data contains the results of a nationwide online survey of 1,432 managers of public universities from the fields of study and teaching, research, and transfer in Germany. The survey was conducted in autumn 2023. Among other things, the survey asked how relevant research findings from higher education and science studies are for university management activities and which transfer channels are particularly relevant. Three central transfer channels were covered: publications, conference input, and social media, with a total of ten analysed sub-channels. The results are complemented with questions pertaining to relevant research topics, cooperations with the field of higher education and research studies, and recommendations for improvement. less