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Juliana Ego Azonuche; Juliet Obiageli Okoruwa; Comfort Ukrajit Sonye; Gbenga Samuel Oladosu – International Journal of Learning and Change, 2024
The performance history of 277 students in clothing and textile from two tertiary institutions in southern Nigeria was studied by artificial neural networks (ANN) and analysis of variance (ANOVA) in terms of institution, gender, ordinary level (O-level) qualification, marital status, and age. The study was guided by five research questions and…
Descriptors: Foreign Countries, Higher Education, Textiles Instruction, Clothing
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Alan Peslak; Lisa Kovalchick; Wenli Wang; Paul Kovacs – Information Systems Education Journal, 2023
Are students who prefer online education different from those who prefer on-ground education, and how? This is an important question because educational institutions need to better understand student segmentations. This research examined 251 survey responses from students enrolled in Computer Information Systems courses at three universities over…
Descriptors: Higher Education, Information Systems, Courses, Electronic Learning
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De La Hoz, Enrique; Zuluaga, Rohemi; Mendoza, Adel – Journal on Efficiency and Responsibility in Education and Science, 2021
This research uses a three-phase method to evaluate and forecast the academic efficiency of engineering programs. In the first phase, university profiles are created through cluster analysis. In the second phase, the academic efficiency of these profiles is evaluated through Data Envelopment Analysis. Finally, a machine learning model is trained…
Descriptors: Program Effectiveness, Program Evaluation, Engineering Education, Multivariate Analysis
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Patel, Rahul S.; Walker, Tanesha; Weber, Zachary T.; Kelley, Sarah D.; Hansen, Ryan – Journal of American College Health, 2022
Objective: Our pilot study tests whether university counseling centers (UCC) can apply the concept of cluster analysis, and geospatial analysis to identify clusters of "hot spots". Participants: Study participants were university students who received services from a large mid-western UCC between August 2015 and July 2016. The study was…
Descriptors: Counseling Services, Higher Education, Multivariate Analysis, College Students
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David Bamat – Measurement: Interdisciplinary Research and Perspectives, 2024
The National Assessment of Educational Progress (NAEP) program only reports state-level subgroup results if it samples at least 62 students identifying with the subgroup. Since some subgroups constitute small proportions of many states' general student populations, these minority subgroups are seldom sufficiently sampled to meet this sample size…
Descriptors: Reading Achievement, Achievement Gap, Prediction, National Competency Tests
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Bassi, Francesca – Quality Assurance in Education: An International Perspective, 2019
Purpose: The purpose of the paper is the analysis of the evolution of students' satisfaction over time in a large Italian university and the effects on it because of some characteristics of the teachers: didactic practices, beliefs and needs with regard to teaching and learning. Design/methodology/approach: The first step of the analysis…
Descriptors: Student Satisfaction, Higher Education, College Students, Teacher Attitudes
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Zaring, Olof; Gifford, Ethan; McKelvey, Maureen – Studies in Higher Education, 2021
This article proposes a taxonomy of entrepreneurship education, with the aim of enhancing our understanding of how higher education contributes to society. Entrepreneurship education programs have become a prominent feature in the curricula of many universities and business schools. Often it is developed in parallel with national policy, as…
Descriptors: Ethnography, Strategic Planning, Higher Education, Instructional Design
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Cha, Jae Hyuk; Lee, Jungmin; Kim, Taehee; Chang, Kyungro – Higher Education Quarterly, 2020
Higher Education institutions in Korea are undergoing restructuring in response to the government reform policy. As one aspect of the restructuring, many colleges are reducing or abolishing the athletic programmes. This study investigated the value of athletic programmes for college students by using the contingent valuation method. The results of…
Descriptors: Higher Education, Educational Change, Educational Policy, Undergraduate Students
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Kazak, Sibel; Fujita, Taro; Turmo, Manoli Pifarre – Mathematical Thinking and Learning: An International Journal, 2023
In today's age of information, the use of data is very powerful in making informed decisions. Data analytics is a field that is interested in identifying and interpreting trends and patterns within big data to make data-driven decisions. We focus on informal statistical inference and data modeling as a means of developing students' data analytics…
Descriptors: Statistical Inference, Mathematics Skills, Mathematics Instruction, Secondary School Students
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Shangguan, Rulan; Keating, Xiaofen Deng; Liu, Jingwen; Zhou, Ke; Clark, Langston; Leitner, Jessica – College Student Journal, 2017
Conceptual physical education (CPE) courses play a critical role in promoting physical activity (PA) among students in American higher education settings. To date, however, very limited knowledge is available about the effectiveness of such courses. Aims: The primary purpose of the study was to examine effects of a CPE course on altering freshmen…
Descriptors: Physical Education, College Freshmen, Physical Activities, Higher Education
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Poole, Sonja Martin; Levin, Michael A.; Elam, Kate – Journal of Marketing for Higher Education, 2018
The purpose of this paper is to propose an alternative model to conventional higher education institution (HEI) rankings that can better communicate meaningful differentiation to prospective students. A five-step approach is followed to form clusters and classify HEIs. Cluster analysis is performed on two separate datasets containing (1) public…
Descriptors: Higher Education, Institutional Evaluation, Student Recruitment, Multivariate Analysis
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Rawat, Bhupesh; Dwivedi, Sanjay K. – International Journal of Information and Communication Technology Education, 2019
With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of 'e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various…
Descriptors: Electronic Learning, Student Characteristics, Learning Processes, Management Systems
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Postareff, Liisa; Mattsson, Markus; Lindblom-Ylänne, Sari; Hailikari, Telle – Higher Education: The International Journal of Higher Education Research, 2017
The demands and pressures during the first study year at university are likely to arouse a variety of emotions among students. Nevertheless, there are very few studies on the role of emotions in successful studying during the transition phase. The present study adopts a person-oriented and mixed-method approach to explore, first, the emotions…
Descriptors: Psychological Patterns, Transitional Programs, Higher Education, Mixed Methods Research
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Yu, Qionglei; Asaad, Yousra; Yen, Dorothy A.; Gupta, Suraksha – Studies in Higher Education, 2018
This study extends our knowledge of internal branding in the context of employees in the higher education sector. Employing a quantitative methodology in UK universities, a conceptual model is presented and tested on 235 employees. Internal market orientation (IMO) is examined as a management tool to drive employees' university brand commitment…
Descriptors: Higher Education, Marketing, Student Recruitment, Foreign Countries
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McClain, Lauren; Gulbis, Angelika; Hays, Donald – Assessment & Evaluation in Higher Education, 2018
Student evaluations of teaching (SETs) are an important point of assessment for faculty in curriculum development, tenure and promotion decisions, and merit raises. Faculty members utilise SETs to gain feedback on their classes and, hopefully, improve them. The question of the validity of student responses on SETs is a continuing debate in higher…
Descriptors: Ethics, Course Evaluation, Higher Education, Student Attitudes
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