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Mohanad Halaweh – Journal of Information Systems Education, 2025
Artificial intelligence (AI) and its subfield, machine learning, have become indispensable across various industries. With the aid of low-code/no-code development platform like KNIME, understanding and applying machine learning algorithms has been simplified for various fields, including business and information systems, as these platforms reduce…
Descriptors: Artificial Intelligence, Computer Uses in Education, Business Education, Information Systems
Rizza, Caroline – OECD Publishing (NJ1), 2011
This working paper aims to give an overview of the national policies that exist in the field of information and communication technology (ICT) and initial teacher education. Information on this topic was initially gathered via a survey, in the form of a country questionnaire, which was conducted as part of the analytical strand of the the…
Descriptors: Foreign Countries, Preservice Teacher Education, Information Technology, Computer Uses in Education
Hawkins, Brian L.; Rudy, Julia A. – EDUCAUSE, 2008
EDUCAUSE Core Data Service Fiscal Year 2007 Summary Report summarizes much of the data collected through the 2007 EDUCAUSE core data survey about campus information technology (IT) environments at 994 colleges and universities in the U.S. and abroad. The report presents aggregates of data through more than 100 tables and accompanying descriptive…
Descriptors: Higher Education, Information Systems, Information Technology, Classification
Hawkins, Brian L.; Rudy, Julia A. – EDUCAUSE, 2006
This report summarizes much of the data collected through the 2005 EDUCAUSE core data survey about campus information technology (IT) environments at 933 colleges and universities in the U.S. and abroad. The report presents aggregates of data through more than 100 tables and accompanying descriptive text in five areas relevant to planning and…
Descriptors: Information Systems, Classification, Information Technology, Higher Education
Employment and Training Administration (DOL), Washington, DC. – 2000
Developed by the U.S. Department of Labor's Occupational Information Network (O*NET) team, the O*NET[TM] Career Exploration Tools (Version 3.0) consist of three main parts: (1) the Interest Profiler; (2) the Work Importance Locator; and (3) the O*NET[TM] Occupations Combined List. The Interest Profiler is a self-assessment career exploration tool…
Descriptors: Career Choice, Career Development, Career Education, Career Exploration

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