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Direct linkIsmail, Azlan; Mutalib, Sofianita; Haron, Haryani – Education and Information Technologies, 2023
This article discusses the key elements of the Data Science Technology course offered to postgraduate students enrolled in the Master of Data Science program. This course complements the existing curriculum by providing the skills to handle the Big Data platform and tools, in addition to data science activities. We tackle the discussion about this…
Descriptors: Data Science, Graduate Study, Masters Programs, Graduate Students
Sara Samy Abbas Mohamed El-kholy – Education and Information Technologies, 2025
This article explores the potential of artificial intelligence (AI) for academic advising. Specifically, it examines how AI-powered machine interpretation and data analysis can be used to deliver advising services anytime, anywhere. This system would eliminate the need for students to physically meet with advisors and could answer their…
Descriptors: Artificial Intelligence, Academic Advising, Data Analysis, Delivery Systems
Miah, Shah J.; Solomonides, Ian – Education and Information Technologies, 2021
Contemporary industry practices must be appropriately reflected in designing modern-day teaching and learning programmes. Existing studies are limited to systematic methodologies for accumulating contemporary practice requirements and using that data to inform the design of educational programmes, even though various, local approaches for doing so…
Descriptors: Graduate Students, Business Administration Education, Masters Programs, Instructional Design
Miah, Shah J.; Solomonides, Ian; Gammack, John G. – Education and Information Technologies, 2020
Although existing data science educational programmes develop talent and produce graduates, business-focused data science curricula comprising essential skills oriented to business and managerial data with associated analysis, remain underserved. Current pedagogy has focused either on data science or on purely analytic technical aspects. There is…
Descriptors: Business Administration Education, Curriculum Development, Curriculum Design, Undergraduate Students
Zeynab (Artemis) Mohseni; Italo Masiello; Rafael M. Martins – Education and Information Technologies, 2024
There is a significant amount of data available about students and their learning activities in many educational systems today. However, these datasets are frequently spread across several different digital services, making it challenging to use them strategically. In addition, there are no established standards for collecting, processing,…
Descriptors: Elementary School Students, Data, Individual Development, Learning Trajectories
Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals
Kordaki, Maria; Papastergiou, Marina; Psomos, Panagiotis – Education and Information Technologies, 2016
The aim of this work was twofold. First, an empirical study was designed aimed at investigating the perceptions that entry-level non-computing majors--namely Physical Education and Sport Science (PESS) undergraduate students--hold about basic Computer Literacy (CL) issues. The participants were 90 first-year PESS students, and their perceptions…
Descriptors: Undergraduate Students, Student Attitudes, Computer Assisted Instruction, Educational Games
