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Caitlin Mills, Editor; Giora Alexandron, Editor; Davide Taibi, Editor; Giosuè Lo Bosco, Editor; Luc Paquette, Editor – International Educational Data Mining Society, 2025
The University of Palermo is proud to host the 18th International Conference on Educational Data Mining (EDM) in Palermo, Italy, from July 20 to July 23, 2025. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New Goals, New Measurements, New Incentives to Learn." The theme…
Descriptors: Artificial Intelligence, Data Analysis, Computer Science Education, Technology Uses in Education
Giannakos, Michail, Ed. – Lecture Notes in Educational Technology, 2020
This book introduces the reader to evidence-based non-formal and informal science learning considerations (including technological and pedagogical innovations) that have emerged in and empowered the information and communications technology (ICT) era. The contributions come from diverse countries and contexts (such as hackerspaces, museums,…
Descriptors: Nonformal Education, Informal Education, Science Education, Computer Uses in Education
IEEE Conference on Software Engineering Education and Training, Proceedings (MS), 2012
The Conference on Software Engineering Education and Training (CSEE&T) is the premier international peer-reviewed conference, sponsored by the Institute of Electrical and Electronics Engineers, Inc. (IEEE) Computer Society, which addresses all major areas related to software engineering education, training, and professionalism. This year, as…
Descriptors: Computer Science Education, Engineering Education, Computer Software, Conferences (Gatherings)
Crumpton, John – 1975
This brief text serves as an introduction to the vocabulary, concepts and application of data processing. It is intended to provide the professional educator with a working vocabulary in the areas of: (1) unit record data processing; (2) data processing systems; (3) computer-centered data processing; (4) programing; (5) approaches to data…
Descriptors: Autoinstructional Aids, Computer Science Education, Computers, Data Processing

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