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Arndt, Henriette; Rose, Heath – International Journal of Research & Method in Education, 2023
Diary methods have long been used as pedagogic tools in learning, and as part of reflective practice in teacher education, but less often as data collection instruments in educational research. This is in part due to implementation challenges emerging from the time and literacy demands they place on participants. To illustrate the use of diary…
Descriptors: Educational Research, Data Collection, Diaries, Research Methodology
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Magraw-Mickelson, Zoe; Wang, Harry H.; Gollwitzer, Mario – International Journal of Testing, 2022
Much psychological research depends on participants' diligence in filling out materials such as surveys. However, not all participants are motivated to respond attentively, which leads to unintended issues with data quality, known as careless responding. Our question is: how do different modes of data collection--paper/pencil, computer/web-based,…
Descriptors: Response Style (Tests), Surveys, Data Collection, Test Format
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Agbo, Friday Joseph; Sanusi, Ismaila Temitayo; Oyelere, Solomon Sunday; Suhonen, Jarkko – Education Sciences, 2021
This study investigated the role of virtual reality (VR) in computer science (CS) education over the last 10 years by conducting a bibliometric and content analysis of articles related to the use of VR in CS education. A total of 971 articles published in peer-reviewed journals and conferences were collected from Web of Science and Scopus…
Descriptors: Computer Simulation, Computer Science Education, Educational Research, Research Methodology
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Berens, Johannes; Schneider, Kerstin; Gortz, Simon; Oster, Simon; Burghoff, Julian – Journal of Educational Data Mining, 2019
To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and private university to predict student dropout as a basis for a targeted…
Descriptors: Risk Management, At Risk Students, Dropout Prevention, College Students
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Peter, Johannes; Leichner, Nikolas; Mayer, Anne-Kathrin; Krampen, Günter – Studies in Higher Education, 2017
This paper presents an approach to information literacy instruction in colleges and universities that combines online and classroom learning (Blended Learning). The concept includes only one classroom seminar, so the approach presented here can replace existing one-shot sessions at colleges and universities without changes to the current workflow.…
Descriptors: Information Literacy, Blended Learning, Instructional Design, Foreign Countries
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Paassen, Benjamin; Hammer, Barbara; Price, Thomas William; Barnes, Tiffany; Gross, Sebastian; Pinkwart, Niels – Journal of Educational Data Mining, 2018
Intelligent tutoring systems can support students in solving multi-step tasks by providing hints regarding what to do next. However, engineering such next-step hints manually or via an expert model becomes infeasible if the space of possible states is too large. Therefore, several approaches have emerged to infer next-step hints automatically,…
Descriptors: Intelligent Tutoring Systems, Cues, Educational Technology, Technology Uses in Education
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Kuhnel, Matthias; Seiler, Luisa; Honal, Andrea; Ifenthaler, Dirk – Interactive Technology and Smart Education, 2018
Purpose: The purpose of the study was to test the usability of the MyLA app prototype by its potential users. Furthermore, the Web app will be introduced in the framework of "Mobile Learning Analytics", a cooperation project between the Cooperative State University Mannheim and University of Mannheim. The participating universities focus…
Descriptors: Electronic Learning, Higher Education, Data Collection, Usability
Vossensteyn, Hans; Kolster, Renze; Kaiser, Frans; File, Jon; Huisman, Jeroen; Seeber, Marco; Vukasovic, Martina; Muehleck, Kai; Gwosc, Christoph – European Commission, 2018
Europe's knowledge economies need high-level skills, the capacity to innovate and to support democratic societies. In this perspective, the main objective of this study is to provide a comprehensive analysis of the relevance of higher education and how this is promoted in various countries in Europe and beyond. The evidence, conclusions and…
Descriptors: Foreign Countries, Relevance (Education), Definitions, Public Policy
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Kuhnel, Matthias; Seiler, Luisa; Honal, Andrea; Ifenthaler, Dirk – International Association for Development of the Information Society, 2017
This study aims to test the usability of MyLA (My Learning Analytics), an application for students at two German universities: The Cooperative State University Mannheim and University of Mannheim. The participating universities focus on the support of personalized and self-regulated learning. MyLA collects data such as learning behavior and…
Descriptors: Electronic Learning, Higher Education, Data Collection, Usability
Vossensteyn, Hans; Kolster, Renze; Kaiser, Frans; File, Jon; Huisman, Jeroen; Seeber, Marco; Vukasovic, Martina; Muehleck, Kai; Gwosc, Christoph – European Commission, 2018
Europe's knowledge economies need high-level skills, the capacity to innovate and to support democratic societies. In this perspective, the main objective of this study is to provide a comprehensive analysis of the relevance of higher education and how this is promoted in various countries in Europe and beyond. The evidence, conclusions and…
Descriptors: Foreign Countries, Relevance (Education), Higher Education, Definitions
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Ifenthaler, Dirk; Schumacher, Clara – Educational Technology Research and Development, 2016
The purpose of this study was to examine student perceptions of privacy principles related to learning analytics. Privacy issues for learning analytics include how personal data are collected and stored as well as how they are analyzed and presented to different stakeholders. A total of 330 university students participated in an exploratory study…
Descriptors: Student Attitudes, Privacy, Data Collection, Data Analysis
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Heuser, Brian L.; Drake, Timothy A.; Owens, Taya L. – Journal of College Student Retention: Research, Theory & Practice, 2013
By examining the different methods and processes by which national data gathering agencies compile and submit their findings to the Organization for Economic Cooperation and Development (OECD), the authors (1) assess the methodological challenges of accurately reporting tertiary completion and graduation rates cross-nationally; (2) to examine the…
Descriptors: Foreign Countries, Higher Education, Graduation Rate, Educational Indicators
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Trevelyan, James – Advances in Engineering Education, 2016
Research on engineering practice is scarce and sharing of qualitative research data can reduce the effort required for an aspiring researcher to obtain enough data from engineering workplaces to draw generalizable conclusions, both qualitative and quantitative. This paper describes how a large shareable qualitative data set on engineering…
Descriptors: Engineering, Research, Qualitative Research, Interviews
Crosier, David; Birch, Peter; Davydovskaia, Olga; Kocanova, Daniela; Parveva, Teodora – Education, Audiovisual and Culture Executive Agency, European Commission, 2017
This report aims to provide insight into the realities faced by higher education academic staff at a time of fast-moving change and increasing societal demand. Fluctuating student numbers, new funding and steering mechanisms are among the features of today's European higher education landscape, but not enough is known about how academic staff are…
Descriptors: Foreign Countries, Educational Development, Educational Change, Higher Education
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Sonnenberg, Christoph; Bannert, Maria – Journal of Learning Analytics, 2015
According to research examining self-regulated learning (SRL), we regard individual regulation as a specific sequence of regulatory activities. Ideally, students perform various learning activities, such as analyzing, monitoring, and evaluating cognitive and motivational aspects during learning. Metacognitive prompts can foster SRL by inducing…
Descriptors: Metacognition, Cues, Control Groups, Outcomes of Education
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