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Mireia Bolíbar; Julia Martínez-Ariño; Maria Schiller – Field Methods, 2025
We propose a new method for analyzing and visualizing information on a large collection of personal networks to uncover the socio-centric structure of relationships among aggregated actors that we clustered into categories. The network of categories identifies the links between groups of sampled ego actors sharing a given attribute (e.g.,…
Descriptors: Measurement Techniques, Data Analysis, Data Collection, Networks
Vincent Carpentier; Emmanuelle Picard – Comparative Education, 2024
This historical exploration of the development of the academic workforce in the UK and France was triggered by the observation of significant similarities in contemporary debates on casualisation, and segmentation despite their distinctive HE systems. We develop a quantitative history of academic staff to understand why the differences in the two…
Descriptors: Foreign Countries, Educational History, Higher Education, Data Analysis
Elhajjar, Samer; Borna, Shaheen – Marketing Education Review, 2023
This research explores the perspectives of marketing students and educators about the Big Data courses in marketing education programs. It also examines drivers that predict interest on the part of marketing students in taking Big Data courses. Data was collected through interviews with 20 marketing educators, and a survey was completed by 480…
Descriptors: Marketing, Teaching Methods, Competition, Statistics Education
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
Cecilia Mezzanotte; Claire Calvel – OECD Publishing, 2023
Calls for increased monitoring and evaluation of education policies and practices have not, so far, included widespread and consistent assessments of the inclusiveness of education settings. Measuring inclusion in education has proven to be a challenging exercise, due not only to the complexity and different uses of the concept, but also to its…
Descriptors: Educational Indicators, Inclusion, Educational Policy, Equal Education
Koçak, Deniz; Türe, Hasan; Atan, Murat – International Journal of Assessment Tools in Education, 2019
Education is the core of the factors that improved people for a better lifestyle and increases the level of society' development. Quality education is one of the most vital goals of Sustainable Development Goals (SDGs) due to actualizing these factors. Using relational network data envelopment analysis (DEA), which have three interrelated…
Descriptors: Efficiency, Measurement, Data Analysis, Educational Quality
Danial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores
Cedefop - European Centre for the Development of Vocational Training, 2021
The feedback between vocational education and training (VET) and the labour market can provide important input for the review and renewal of qualifications. A feedback loop that is based on learning outcomes helps provide deeper insights into what is required on the labour market, what is offered in training provisions and assessed at the end of a…
Descriptors: Vocational Education, Outcomes of Education, Education Work Relationship, Qualifications
Mikheeva, Ekaterina, Ed.; Meyer, Sebastian, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 is designed to assess how well students are prepared for study, work, and life in a digital world. The study measures international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
Mavi, Reza Kiani; Standing, Craig – International Association for Development of the Information Society, 2016
Government regulations require businesses to improve their processes and products/services in a green and sustainable manner. For being environmentally friendly, businesses should invest more on eco-innovation practices. Firms eco-innovate to promote eco-efficiency and sustainability. This paper evaluates the eco-innovation performance of…
Descriptors: Innovation, Data Analysis, Conservation (Environment), Sustainability
Fraillon, Julian, Ed.; Ainley, John, Ed.; Schulz, Wolfram, Ed.; Friedman, Tim, Ed.; Duckworth, Daniel, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 investigated how well students are prepared for study, work, and life in a digital world. ICILS 2018 measured international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and communicate at…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
Lund, Kristine; Quignard, Matthieu; Shaffer, David Williamson – Journal of Learning Analytics, 2017
Recordings of human interaction data can be organized into temporal representations with different affordances. We use audio data of a learning-related discussion analyzed for its low-level emotional indicators and divided into four phases, each characterized by an overarching emotion. After arguing for the relevance of emotion to learning, we…
Descriptors: Epistemology, Network Analysis, Interaction, Models
Delserieys, Alice; Jégou, Corinne; Boilevin, Jean-Marie; Ravanis, Konstantinos – Research in Science & Technological Education, 2018
Background: This work is based on the idea that young children benefit from early introduction of scientific concepts. Few researches describe didactical strategies focusing on physics understanding for young children and analyse their effectiveness in standard classroom environments. Purpose: The aim is to identify whether didactical strategies…
Descriptors: Preschool Education, Preschool Children, Science Education, Scientific Concepts
Busch, Tobias; Vanpoucke, Filiep; van Wieringen, Astrid – Journal of Speech, Language, and Hearing Research, 2017
Purpose: We describe the natural auditory environment of people with cochlear implants (CIs), how it changes across the life span, and how it varies between individuals. Method: We performed a retrospective cross-sectional analysis of Cochlear Nucleus 6 CI sound-processor data logs. The logs were obtained from 1,501 people with CIs (ages 0-96…
Descriptors: Auditory Stimuli, Assistive Technology, Life Cycle Costing, Individual Differences
OECD Publishing, 2017
This report identifies effective strategies to tackle skills imbalances, based on five country-specific policy notes for France, Italy, Spain, South Africa and the United Kingdom. It provides a comparative assessment of practices and policies in the following areas: the collection and use of information on skill needs to foster a better alignment…
Descriptors: Foreign Countries, Comparative Education, Educational Practices, Educational Policy