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Zareen Alamgir; Habiba Akram; Saira Karim; Aamir Wali – Informatics in Education, 2024
Educational data mining is widely deployed to extract valuable information and patterns from academic data. This research explores new features that can help predict the future performance of undergraduate students and identify at-risk students early on. It answers some crucial and intuitive questions that are not addressed by previous studies.…
Descriptors: Data Analysis, Information Retrieval, Content Analysis, Information Technology
Jason H. Sharp; John E. Anderson; Guido Lang – Information Systems Education Journal, 2025
The "Information Systems Education Journal" has published uninterrupted since 2003. Over its publication history, it has covered myriad topics related to information systems education including model curriculum, outcomes assessment, online learning, capstone courses, service learning, data analytics, and cybersecurity, just to name a…
Descriptors: Information Systems, Computer Science Education, Educational Research, Bibliometrics
Berikan, Burcu; Özdemir, Selçuk – Journal of Educational Computing Research, 2020
This study aims to investigate problem-solving with dataset (PSWD) as a computational thinking learning implementation as reflected in academic publications. Specifically, the purpose is to specify the scope of PSWD, which overlaps with the data literacy, thinking with data, big data literacy, and data-based thinking concepts in the literature.…
Descriptors: Problem Solving, Data Analysis, Thinking Skills, Computation
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
Freeman, Peter; Aspray, William – 1999
This study is designed to improve understanding of the supply of and demand for information technology (IT) workers in America and contextual issues surrounding that topic. Chapter 1 examines aspects of the political context concerning IT workforce issues. Chapter 2 outlines a way to distinguish IT workers from a much larger class of workers whose…
Descriptors: Classification, Computer Science Education, Data Analysis, Demand Occupations