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Rebeka Man – ProQuest LLC, 2024
In today's era of large-scale data, academic institutions, businesses, and government agencies are increasingly faced with heterogeneous datasets. Consequently, there is a growing need to develop effective methods for extracting meaningful insights from this type of data. Quantile, expectile, and expected shortfall regression methods offer useful…
Descriptors: Data, Data Analysis, Data Use, Higher Education
Semih Sait Yilmaz; Ayse Collins; Seyid Amjad Ali – European Journal of Education, 2024
In response to the COVID-19 pandemic, an abrupt wave of digitisation and online migration swept the higher education institutions around the globe. In the aftermath of this digital transformation which endures as the legacy of the pandemic, what lacks in knowledge is how effective the anti-COVID measures were in maintaining quality education.…
Descriptors: Foreign Countries, Artificial Intelligence, Higher Education, COVID-19
John J. Posillico; David J. Edwards – Industry and Higher Education, 2024
Purpose: Higher education curriculum development in the construction industry has historically received scant academic attention and often, courses/programmes are largely developed using the tacit knowledge of individual tutors. This research investigates the core interpersonal and technical skills and competencies required of a contemporary…
Descriptors: Physical Environment, Construction Management, Higher Education, Curriculum Development
Leili Tapak; Yadollah Hamidi; Zahra Toosi – Learning Organization, 2024
Purpose: Learning organization (LO) concept has received much attention in the last decades. The purpose of an LO is to proactively shape its future by fostering a culture of continuous learning among its members. This approach empowers the organization to adapt, evolve and innovate, aligning with the needs and aspirations of both internal and…
Descriptors: Organizational Learning, Questionnaires, Organizational Culture, Organizational Change
Amanda Davis Simpfenderfer; Romeo Jackson; Danielle Aguilar; C. V. Dolan; Jason C. Garvey – Educational Studies: Journal of the American Educational Studies Association, 2024
This paper aims to unsettle assumptions of generalizability and representativeness in quantitative research using queer framings and positionalities. We argue that generalizability and representativeness are tools of supremacist dominance that reinforce harmful and essentialist categories of identities for the false purpose of statistical…
Descriptors: Homosexuality, Statistical Analysis, Generalizability Theory, Research Methodology
Susan L. Robertson – Journal of Curriculum Studies, 2024
In this paper, I argue a new politics of ordinal differentiation and its instruments for governing education aims to make invisible a 'low intensity civil war' against the labouring classes. It does this through the elevation and ubiquity of actuarial and quantitative measures aimed at producing a new form of differentiated belonging: that of…
Descriptors: Social Differences, Politics of Education, Citizenship, Personal Autonomy
Bernard L. Dillard – ProQuest LLC, 2024
The Upward Bound Math and Science (UBMS) program at Temple University (TU) seeks to guide first-generation, low-income high school students from Philadelphia in their quest to obtain postsecondary STEM degrees that lead to related careers. This study aims to evaluate the efficacy of the program by analyzing its students' performance in light of…
Descriptors: Program Evaluation, Statistical Analysis, Program Effectiveness, College Preparation