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Park, EunSol – Asia Pacific Education Review, 2022
Text mining techniques have become popular in many disciplines in the era of big data. Author profiling analysis, a method of text mining, is useful for identifying the intellectual structures of research fields and the latest research topics that did not appear from author co-citation analysis. This study analyzed the changing intellectual…
Descriptors: Foreign Countries, Labor Force Development, Human Resources, Information Retrieval
Zientek, Linda; Nimon, Kim; Hammack-Brown, Bryn – European Journal of Training and Development, 2016
Purpose: Among the gold standards in human resource development (HRD) research are studies that test theoretically developed hypotheses and use experimental designs. A somewhat typical experimental design would involve collecting pretest and posttest data on individuals assigned to a control or experimental group. Data from such a design that…
Descriptors: Data Analysis, Pretests Posttests, Control Groups, Labor Force Development
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
Sommers, Dixie – 2000
To prepare young people and adults for labor market success, career-technical education (CTE) practitioners must know how to find and use work force information. Recent federal legislation, including the Workforce Investment Act of 1998, underscores the importance of work force education. The nationwide work force information system makes data on…
Descriptors: Access to Information, Annotated Bibliographies, Career Education, Career Information Systems