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Han, Ye; Xu, Yueting – Teaching in Higher Education, 2023
While higher education (HE) research has long recognized the importance of providing emotional support to doctoral students, empirical inquiries have barely investigated doctoral supervisors' practice from the perspective of extrinsic emotion regulation. The current qualitative study used the framework of extrinsic emotion regulation (Gross 2014,…
Descriptors: Emotional Response, Psychological Patterns, Computer Science Education, Foreign Countries
McGee, Ebony; Griffith , Derek; Houston, Stacey, II – Teachers College Record, 2019
Background/Context: It is well documented that Black doctoral students in engineering and computing fields experience more stress and strain during doctoral training than their White and Asian peers. However, few studies have examined how Black engineering and computing doctoral students and postdoctoral researchers experience these challenges and…
Descriptors: Anxiety, African American Students, Graduate Students, Doctoral Programs
Blaney, Jennifer M.; Wofford, Annie M. – Computer Science Education, 2021
Background: Students who transfer from community colleges in pursuit of four-year degrees (i.e., upward transfer students) represent a diverse and talented group that is critical to advancing gender equity in STEM. However, research has not yet explored factors that promote Ph.D. aspirations among upward transfer computing students, resulting in…
Descriptors: Academic Aspiration, College Transfer Students, Computer Science Education, Community Colleges
Alfermann, Dorothee; Holl, Christopher; Reimann, Swantje – International Journal of Higher Education, 2021
Evidence in the literature indicates that doctoral candidates may experience increased levels of stress and worry about successfully completing their doctorate degrees. As a result, a significant number of doctoral candidates drop out. In our study with 424 doctoral students in computer science (113 women, 311 men), we ask about the frequency of…
Descriptors: Doctoral Students, Doctoral Programs, Dropout Characteristics, Computer Science Education
Interdisciplinary Doctoral Research Networks: Enhancers and Inhibitors of Social Capital Development
Mountford, Nicola; Coleman, Matthew; Kessie, Threase; Cusack, Tara – Studies in Higher Education, 2020
Interdisciplinary research networks are increasing, with professionals encouraged to undertake research across disciplines to increase innovation, creativity and knowledge. More recently, this interdisciplinary focus is being mirrored by the establishment of interdisciplinary doctoral research networks. But do these networks work? And if so, how…
Descriptors: Interdisciplinary Approach, Doctoral Students, Student Research, Student Motivation
Tao, Jinsong; McClure, Stephen C.; Zhang, Xiaoxing; Waqas, Muhammad; Wen, Xishan – International Journal of Technology and Design Education, 2020
Assessments of new pedagogical practices usually rely on instructor oriented surveys and questionnaires to measure student perceptions of teaching methods; however, fixed response categories in structured questionnaires might bias results. This paper demonstrates a mixed methods approach using open and multi-dimensional scaling (MDS) for a…
Descriptors: Engineering Education, Multidimensional Scaling, Teaching Methods, Visualization
Calatrava Moreno, María del Carmen; Danowitz, Mary Ann – Journal of Higher Education Policy and Management, 2016
The aim of this study was to identify how and why doctoral students do interdisciplinary research. A mixed-methods approach utilising bibliometric analysis of the publications of 195 students identified those who had published interdisciplinary research. This objective measurement of the interdisciplinarity, applying the Rao-Stirling index to Web…
Descriptors: Interdisciplinary Approach, Scientists, Student Experience, Computer Science Education
Straub, Jeremy – Computer Science Education, 2014
This article surveys the examination requirements for attaining degree candidate (candidacy) status in computer science doctoral programs at all of the computer science doctoral granting institutions in the United States. It presents a framework for program examination requirement categorization, and categorizes these programs by the type or types…
Descriptors: Computer Science Education, Doctoral Degrees, Universities, Comparative Analysis
Setzekorn, Kristina, Ed.; Patnayakuni, Nainika, Ed.; Burton, Tina, Ed. – IGI Global, 2020
Education has until recently promoted social mobility, broad economic growth, and democracy. However, modern universities direct policy and resources toward criteria that exacerbate income inequality and reduce social mobility. Online education can make education more socially, geographically, temporally, and financially accessible, impacting the…
Descriptors: Higher Education, Online Courses, Distance Education, Educational Technology
Cox, G. W.; Hughes, W. E., Jr.; Etzkorn, L. H.; Weisskopf, M. E. – IEEE Transactions on Education, 2009
This paper presents the results of an analysis of indicators that can be used to predict whether a student will succeed in a Computer Science Ph.D. program. The analysis was conducted by studying the records of 75 students who have been in the Computer Science Ph.D. program of the University of Alabama in Huntsville. Seventy-seven variables were…
Descriptors: Case Studies, Prediction, Computer Science Education, Doctoral Degrees

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