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Elhajjar, Samer; Borna, Shaheen – Marketing Education Review, 2023
This research explores the perspectives of marketing students and educators about the Big Data courses in marketing education programs. It also examines drivers that predict interest on the part of marketing students in taking Big Data courses. Data was collected through interviews with 20 marketing educators, and a survey was completed by 480…
Descriptors: Marketing, Teaching Methods, Competition, Statistics Education
Polak, Julia; Cook, Dianne – Journal of Statistics and Data Science Education, 2021
Kaggle is a data modeling competition service, where participants compete to build a model with lower predictive error than other participants. Several years ago they released a simplified service that is ideal for instructors to run competitions in a classroom setting. This article describes the results of an experiment to determine if…
Descriptors: Artificial Intelligence, Data Analysis, Models, Competition
Ishengoma, Esther; Vaaland, Terje I. – Education & Training, 2016
Purpose: The purpose of this paper is to identify important university-industry linkage (UIL) activities that can stimulate the likelihood of employability among students. Design/methodology/approach: A total of 404 respondents located in Tanzania, comprising students, faculty members and employees from 20 companies operating within the oil and…
Descriptors: School Business Relationship, Universities, Industry, Employment Potential
Schmidt, Rebecca Anne; Caspary, Kyra; Jonas, Deborah – Office of Planning, Evaluation and Policy Development, US Department of Education, 2016
Nationally, 28 percent of all public elementary and secondary schools were in rural locations in 2013-14, serving 18 percent of all K-12 students (U.S. Department of Education, National Center for Education Statistics 2015). Rural schools serve students in sparsely populated areas and have smaller overall populations than schools in other…
Descriptors: Rural Education, Federal Programs, Academic Achievement, Elementary Secondary Education
Dai, David Yun; Steenbergen-Hu, Saiying; Zhou, Yehan – Gifted Child Quarterly, 2015
In this grounded theory qualitative study, we interviewed 34 graduates from one cohort of 51 students from a prestigious early college entrance program in China. Based on the interview data, we identified distinct convergent and divergent patterns of lived experiences and changes. We found several dominant themes, including peers' mutual…
Descriptors: Grounded Theory, Qualitative Research, College Graduates, Student Experience
Crepinsek, Mary Kay; Cole, Nancy; Golding, Joanna – US Department of Agriculture, 2004
This Feasibility Study to Develop a Methodology to Monitor the Impact of Changes in Competitive Food Policies had two main goals: (1) Design and test a plan for collecting and analyzing data about competitive food policies and all foods offered and served to students at school; and (2) Provide a methodology for assessing the impact of changes in…
Descriptors: Data Collection, Data Analysis, Food Standards, Lunch Programs
Cohen, Rhoda; KewalRamani, Angelina; Nogales, Renee; Ohls, James; Sinclair, Michael – US Department of Agriculture, 2004
This report describes research that Mathematica Policy Research, Inc. (MPR) has conducted for the U.S. Department of Agriculture (USDA), Food and Nutrition Service (FNS), to develop methods to track the use of "competitive foods" in schools over time. Competitive foods are foods from a la carte cafeteria sales, vending machines, school stores,…
Descriptors: Data Collection, Data Analysis, Food Standards, Lunch Programs
Yu, Fu-Yun – Journal of Educational Computing Research, 2003
Since past studies showing that competition has negative effects on group process were primarily conducted in traditional classrooms involving face-to-face situations, this study extends past research by investigating whether the negative effects associated with face-to-face team competition can be mitigated with the support of networking…
Descriptors: Student Attitudes, Proximity, Educational Strategies, Data Analysis

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