Data Search for Higher Education Research and Science Studies

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Data Packages (SUFs, CUFs) (61)

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Performance Evaluation in Appointment Procedures – The Changing Tradition of Hiring Professors in Academia. Qualitative Inquiry of the DZHW Study LiBerTas

Survey Period: Apr 30, 2015 - May 30, 2016 Survey Data Type: Qualitative Data

Based on an analysis of maximally contrasting cases (institutions of higher education, subjects) it was examined how the change in appointment procedures affects the relation of the participating actors and their enactment of institutional logics. For this... more purpose, eight universities and four Universities of Applied Sciences (UAS) with different profiles were selected originally. The analysis is concentrated on the subjects sociology/social sciences (university + UAS), engineering (university + UAS), physics (university) and medicine (university) in order to cover subject-specific differences (concerning tasks, work processes, endowment of the professorship, disciplinary performance standards, etc.). A total of 76 guideline-based expert interviews were conducted with university heads, deans, chairpersons of appointments committees, equal opportunities commissioners of selected institutions of higher education. The respective requirements, experiences with and assessment of appointment procedures were in the focus. This sample was reduced to the status group of chairpersons of appointments committees. For further information on the sample rationale and data editing method please consult the Data and Methods Report. less

14th Social Survey

Survey Period: May 30, 1994 - Aug 31, 1994 Survey Data Type: Quantitative Data

The Social Survey is a series of surveys on the economic and social situation of students in Germany that has been in existence since 1951. At three- to four-year intervals, a cross-section of students is surveyed on aspects of university access, structura... more

13th Social Survey

Survey Period: May 27, 1991 - Aug 31, 1991 Survey Data Type: Quantitative Data

The Social Survey is a series of surveys on the economic and social situation of students in Germany that has been in existence since 1951. Every three to four years, a cross-section of students is surveyed on aspects of access to higher education, structu... moreral features of study, social and economic situation, including income and cost of living, employment, housing situation, as well as socio-demographic characteristics, partnership status and parenthood. The data package includes data from the 13th Social Survey (1991), which included students in the new Länder for the first time. An additional questionnaire included questions on the situation of students with children. Translated with www.DeepL.com/Translator (free version) less

Student Survey 2004

Survey Period: Jan 1, 2003 - Dec 31, 2005 Survey Data Type: Quantitative Data

The ninth survey of the Student Survey covers the topics of specialized studies and access to higher education; choice of education and study expectations; teaching situation and study quality; study behavior and study strategies; life situation and gainfu... morel employment; contacts and communication, counseling; study difficulties, problems and burdens; new media in studies and teaching; wishes and demands for higher education development; career choice and career ideas; social and political ideas; social data and biographical situation. The data are based on random samples at 17 universities and ten universities of applied sciences in West Germany and comprise 550 items (plus additionally created variables). less

Recursive problem solving in the online learning environment CodingBat by computer science students

Survey Period: Mar 21, 2017 - Apr 6, 2017 Survey Data Type: Qualitative Data

The data package has been gathered within the scope of the dissertation of the data provider, Natalie Kiesler. It focuses on informative feedback, its design, and its implementation in basic programming education. It was used to answer the research questio... moren about the effects of informative feedback offered by (online) self-learning tools. Especially those coding tools with automatic assessment can lead to frustrations for learners, if they receive minimal feedback or if tasks are too complex. Therefore, it seemed reasonable to examine the effects of individual feedback types in greater detail in order to assess their impact in the context of programming education. Thus, the impact of informative feedback on learners was explored by means of thinking aloud experiments in order to obtain further clues for the design of feedback in basic programming education. Students’ steps during recursive problem solving of standard computer science problems (including the computation of the factorial of natural numbers, as well as the computation of the Fibonacci sequence) were recorded in a professional usability lab in form of both audio and video data (among them screencasts). A self-developed feedback prototype and the freely available online tool CodingBat were utilized for the investigation. The data on students’ steps includes their task processing time, interactions, feedback demands and use, so that the student steps in the problem solving process can be qualitatively traced. Thus, mental models, or student approaches towards recursive problem solving can become more transparent. The full transcripts of the thinking aloud experiments are too extensive, so they are not provided for reasons of data economy. Instead, the transcripts of the students’ screen activities in terms of coding are made available. less

Student Survey 1983

Survey Period: Jan 1, 1982 - Dec 31, 1983 Survey Data Type: Quantitative Data

The first survey of the Student Survey covers the topics of university access and prerequisites for study, subject studies and study behavior, student lifestyles and social situation, orientations toward science and university, orientations toward career a... more

Professionalization in theological conversations – a qualitative sub-study of the projects PRONET & PRONET²

Survey Period: Apr 11, 2016 - Jul 21, 2017 Survey Data Type: Qualitative Data

The data package consists of transcripts of Theological Conversations carried out classrooms, which were collected as part of the two large-scale projects of the Kassel teacher training program 'PRONET' (PROfessionalization through NETworking) and 'PRONET²... more', integrated into the "Quality Offensive Teacher Education", which is funded by the federal and state governments with funds from the Federal Ministry of Education and Research. Within the two large-scale projects, the research data presented was collected more concrete within the framework of the sub-project “Professionalization in Theological Conversations as the Basis for Cross-Phase Networking in Teacher Education” - the title of the first project within the PRONET framework - and “Networking of subject-specific science and subject-specific didactics in the Professionalization in Theological Discussions “- the title in the second project phase of PRONET. In Theological Conversations, the pupils and the teacher get into conversation about large and often existentially significant theological questions (Freudenberger-Lötz, 2007). The presented research data was qualitatively-empirically collected and consists of transcripts of Theological Conversations, which were led by students: integrated into two Kassel research workshops (Freudenberger-Lötz, 2013) and a research seminar, students led Theological Conversations about different theological content with pupils in different grades. less

DZHW Scientists Survey 2019

Survey Period: Nov 26, 2019 - Feb 24, 2020 Survey Data Type: Quantitative Data

The DZHW Scientists Survey 2019 is an online survey of full-time academic and artistic staff at German universities, colleges of education, theology, art and music, and medical schools. It is repeated at regular intervals as a trend study to explore the wo... morerking and research conditions at German universities and equivalent institutions of higher education. The first two surveys took place in 2010 and 2016. The 2019 Scientists Survey was conducted from November 2019 to February 2020. Accordingly, the COVID19 pandemic from March 2020 onwards did not yet have impact on the survey of scientists, who were consequently able to refer to their regular daily research routine. The DZHW science survey is designed as a multi-topic survey. Each survey contains a core instrument (a constant survey programme over several waves) with central questions on working and research conditions as well as modules with more in-depth questions on current research policy topics and research priorities. The core instrument is completed by priority topics for which the instruments are developed in cooperation with research groups within and outside the DZHW. The focus topics of the 2019 science survey were: open data, research information, authorship, knowledge transfer and subject cultures. less

Quantitative sub-study: Survey with refugees and other prospective international students

Survey Period: Oct 1, 2018 - Apr 30, 2020 Survey Data Type: Quantitative Data

The project 'Pathways of Refugees to German Universities', in short: WeGe, was funded by the Federal Ministry of Education and Research (BMBF) from April 2017 to March 2021 as part of the funding line 'Study Success and Study Dropout I'. The project invest... moreigated the challenges faced by refugee prospective students in preparing for university and the factors that influence whether preparation for university succeeds and a transition to higher education is completed. Data from the three substudies (2x qualitative, 1x quantitative) were published in separate data packages. The present data package contains the data from the quantitative sub-study. Data were collected by means of questionnaires at selected preparatory colleges and universities in Germany. The study participants were invited to take part in two repeat surveys in online mode. Topics included study preparation learning, learning success, aspects of integration, and well-being. The data package includes the associated longitudinal data set. less

Student Survey 1983 - 2016

Survey Period: Jan 1, 1982 - Dec 31, 2017 Survey Data Type: Quantitative Data

The multiwave file of the Student Survey contains data from all 13 surveys from 1982 to 2016 on the study situation and student orientations. All variables that were present in at least two surveys were included, so that time series from 2 to 13 measuremen... more

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