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Pangrazio, Luci; Selwyn, Neil; Cumbo, Bronwyn – Learning, Media and Technology, 2023
This paper explores the significance of schools' data infrastructures as a site of institutional power and (re)configuration. Using 'infrastructure studies' as a theoretical framework and drawing on in-depth studies of three contrasting Australian secondary schools, the paper takes a holistic look at schools' data infrastructures. In contrast to…
Descriptors: Data Use, Data Analysis, Data Collection, Information Management
Wenwei Luo; Huihua He; Hui Li – Early Education and Development, 2024
"Research Findings:" Digital leadership as an urgent and emerging topic has attracted public attention, but its nature, definition, and constructs have not been thoroughly explored for the Chinese culture. This study uses a grounded theory approach to examine how Chinese principles are utilized at "Model Level" preschools to…
Descriptors: Early Childhood Education, Instructional Leadership, Principals, Administrator Attitudes
Kerstin Wagner; Agathe Merceron; Petra Sauer; Niels Pinkwart – Journal of Educational Data Mining, 2024
In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design, is based on the explainable k-nearest neighbor algorithm and recommends a…
Descriptors: At Risk Students, Algorithms, Foreign Countries, Course Selection (Students)
Hamad, Faten; Fakhuri, Hussam; Abdel Jabbar, Sinaria – New Review of Academic Librarianship, 2022
Libraries hold large amounts of data, which can contribute to improvements in the quality of library services. Data resources of modern library have the characteristics of big-data, where library can use big-data methods to achieve reform and innovation, including resource transferring, resource utilisation, social identity, thinking innovation.…
Descriptors: Foreign Countries, Learning Analytics, Academic Libraries, Data Use
Athanatou, Maria; Prendes Espinosa, Maria Paz; Gutierrez Porlan, Isabel – Journal of Education and e-Learning Research, 2023
The digital evaluation field is a new area that arises in the core of education and studies highlight the importance of editing data as well as using ICT to drive internal school improvement. Data- Driven Decision Making (DDDM in advance) executes relatively simple models on carefully targeted data extracted through target questionnaires. This…
Descriptors: Foreign Countries, Elementary Education, Decision Making, Data Use
Roslan, Muhammad Haziq Bin; Chen, Chwen Jen – Education and Information Technologies, 2023
This study attempts to predict secondary school students' performance in English and Mathematics subjects using data mining (DM) techniques. It aims to provide insights into predictors of students' performance in English and Mathematics, characteristics of students with different levels of performance, the most effective DM technique for students'…
Descriptors: Foreign Countries, Secondary School Students, Academic Achievement, English Instruction
Iurasov, Aleksei – International Journal of Learning and Change, 2022
Students who have graduated from high schools across the EU member states can choose from a wide variety of study programs and universities at which to pursue their degree studies. Each combination of a university and study program is unique, which further complicates student choice. Lack of information transparency regarding the unique…
Descriptors: Foreign Countries, Information Technology, Business Administration Education, Undergraduate Study
Calvera-Isabal, Miriam; Santos, Patricia; Hoppe, H. -Ulrich; Schulten, Cleo – Comunicar: Media Education Research Journal, 2023
There is an increasing interest and growing practice in Citizen Science (CS) that goes along with the usage of websites for communication as well as for capturing and processing data and materials. From an educational perspective, it is expected that by integrating information about CS in a formal educational setting, it will inspire teachers to…
Descriptors: Citizen Participation, Science and Society, Scientific and Technical Information, Web Sites
Chaengpromma, Nattariga; Pattanapairoj, Sirorat – Cogent Education, 2022
The purpose of this research is to study the gap between industry expectations and the current competencies of bachelor's degree industrial engineering graduates in Khon Kaen University in Thailand 4.0 era so that the research results of this study may be used as the guideline for improvement of the existing Bachelor of Engineering Degree program…
Descriptors: Foreign Countries, College Graduates, Engineering Education, Industrial Education
Mason, Claire M.; Chen, Haohui; Evans, David; Walker, Gavin – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…
Descriptors: Taxonomy, Artificial Intelligence, Data Collection, Data Analysis
Lu, Jing – INFORMS Transactions on Education, 2020
In the business environment, the goal of data analytics can be characterized as improving decision making and its links to big data and other data-driven technologies. In UK higher education, degree apprenticeships are business-led and government-supported nationally recognized qualifications, where delivery is tailored to partner employer…
Descriptors: Data Analysis, Information Systems, Information Management, Data Use
Jørgensen, Thomas – European University Association, 2019
The digital transformation of our societies is moving ahead, changing the way that we work and interact. It is also changing learning environments and the need for digital skills. This paper argues for a differentiated approach by universities to digital skills, identifying three groups of learners: (1) ICT [Information and Communication…
Descriptors: Universities, Technological Literacy, Information Technology, Specialists