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Mitra, Sinjini; Goldstein, Zvi; Kapoor, Bhushan L. – INFORMS Transactions on Education, 2021
Choosing a major field of study is important, and so is the selection of a specialized concentration that is aligned with an individual's career aspirations. In this paper, we explore a relatively newer concentration in the area of business, namely business analytics. The field of analytics has seen a rapid growth in recent years and enrollment in…
Descriptors: Predictor Variables, Business Administration Education, Data Analysis, Majors (Students)
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Paul, Jomon A.; MacDonald, Leo – Decision Sciences Journal of Innovative Education, 2020
In recent years, analytics has gained considerable momentum in both industry as well as academia. This study aims to develop an analytics curriculum for undergraduate and graduate programs by identifying skill-based gaps between industry and academia and then clustering them based on methodological and semantic similarities among other criteria.…
Descriptors: Data Analysis, Teaching Methods, Semantics, Undergraduate Students
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Frantz, Kyle J.; Demetrikopoulos, Melissa K.; Britner, Shari L.; Carruth, Laura L.; Williams, Brian A.; Pecore, John L.; DeHaan, Robert L.; Goode, Christopher T. – CBE - Life Sciences Education, 2017
Undergraduate research experiences confer benefits on students bound for science, technology, engineering, and mathematics (STEM) careers, but the low number of research professionals available to serve as mentors often limits access to research. Within the context of our summer research program (BRAIN), we tested the hypothesis that a team-based…
Descriptors: Undergraduate Students, Student Characteristics, Personality Traits, Career Development
Perez-Arce, Francisco – RAND Corporation, 2011
The author examines whether education increases patience. Admission decisions in a public college in Mexico are determined through a lottery. He finds that applicants who were successful in the draw were more likely to study in the following years. He surveyed the applicants to this college almost two years after the admission decision was made…
Descriptors: Foreign Countries, Preferences, Outcomes of Education, College Students
Tabbron, G. – Vocational Aspect of Education, 1981
Studies the personality traits of carefully defined groups of students in further education colleges and correlates these traits with academic success on unaggregated measures of attainment and with aspects of convergent and divergent thinking. (CT)
Descriptors: Academic Achievement, College Science, Convergent Thinking, Data Analysis
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Yannibelli, Virginia; Godoy, Daniela; Amandi, Analia – Interactive Learning Environments, 2006
Learning styles encapsulate the preferences of the students, regarding how they learn. By including information about the student learning style, computer-based educational systems are able to adapt a course according to the individual characteristics of the students. In accomplishing this goal, educational systems have been mostly based on the…
Descriptors: Student Characteristics, Mathematical Models, Genetics, Educational Technology
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Stratford, R. J. – Educational Research, 1972
This paper is concerned with a group of immature ESN school leavers specially selected for a course of work preparation at the Cliffdale Industrial Training Unit in Portsmouth. (Author)
Descriptors: Control Groups, Data Analysis, Industrial Training, Personality Assessment
Kohnstamm, Geldolph A. – 1993
This study reanalyzed data collected by Heymans and Wiersma in 1908 in response to a questionnaire sent to secondary school teachers in the Netherlands. The 81-item questionnaire asked teachers about the characteristics of the behavior and character of their students (numbering close to 4,000). The reanalysis involved 72 questions that provided…
Descriptors: Data Analysis, Factor Analysis, Factor Structure, Foreign Countries
Frymier, Jack; Bills, Robert E. – 1979
The purpose of this study was to determine whether terms used in the Annehurst Curriculum Classification System (ACCS) are appropriate and useful to describe learner characteristics. From the twelve characteristics postulated in the ACCS to describe learners, six were selected for study: experience, intelligence, motivation, emotion-personality,…
Descriptors: Creativity, Data Analysis, Elementary Secondary Education, Factor Analysis
Prediger, Dale J. – 1971
General objectives were to develop and implement computer-based procedures for obtaining validated data on the characteristics of vocational school students and to convert this data into counseling information. Two types of data-information conversion procedures were field-tested: similarity scores based on discriminant analysis, and success…
Descriptors: Aptitude Tests, Career Counseling, Cluster Grouping, Computer Programs
Schuler, Patricia A. – 1999
This study investigated the characteristics of perfectionistic gifted adolescents in a rural middle school, how they perceived their perfectionism, the influences on their perfectionism, and the consequences of their perfectionist behaviors. Qualitative and quantitative methods of data collection were employed to gather data from 20 gifted…
Descriptors: Adolescents, Anxiety, Behavior Problems, Coping
Cranton, Patricia – 2000
This book integrates what is known about how adults learn and the principles of instructional design into a practical, yet theoretically based guide for planning instruction. The following are among the specific topics discussed: (1) the theoretical framework of instructional design in adult education (lifelong and experiential learning;…
Descriptors: Adult Development, Adult Education, Adult Learning, Adult Students
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers