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Barrett Taylor; Karri Holley – Innovative Higher Education, 2024
This article explores patterns in the US professoriate and the relationship to institutional wealth and status in public higher education, 2012-2021. We use latent profile analysis to identify different models for building a faculty and multinomial logistic regression to describe the characteristics of institutions employing these models. The…
Descriptors: Public Colleges, Higher Education, Correlation, Institutional Characteristics
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Korepanova, Antonina; Pata, Kai – International Association for Development of the Information Society, 2023
Art education holds immense value, presenting students with complex problems and diverse solutions. While general art education has received attention from researchers, higher visual art education remains an under-discussed topic. This article aims to address this gap by examining the diversity of pattern elements that art teachers employ during…
Descriptors: Higher Education, Art Education, Visual Arts, Instructional Design
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Johnson, Clare; Davies, Ross – Journal of Academic Ethics, 2020
Contract cheating is a major problem in Higher Education because it is very difficult to detect using traditional plagiarism detection tools. Digital forensics techniques are already used in law to determine ownership of documents, and also in criminal cases, where it is not uncommon to hide information and images within an ordinary looking…
Descriptors: Crime, Technology Uses in Education, Cheating, Educational Technology
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So, Joseph Chi-ho; Wong, Adam Ka-lok; Tsang, Kia Ho-yin; Chan, Ada Pui-ling; Wong, Simon Chi-wang; Chan, Henry C. B. – Journal of Technology and Science Education, 2023
The project presented in this paper aims to formulate a recommendation framework that consolidates the higher education students' particulars such as their academic background, current study and student activity records, their attended higher education institution's expectations of graduate attributes and self-assessment of their own generic…
Descriptors: Pattern Recognition, Artificial Intelligence, Higher Education, College Students
Stofer, Kathryn A. – Journal of Geoscience Education, 2016
The oft-repeated phrase "a picture is worth a thousand words" supposes that an image can replace a profusion of words to more easily express complex ideas. For scientific visualizations that represent profusions of numerical data, however, an untranslated academic visualization suffers the same pitfalls untranslated jargon does. Previous…
Descriptors: Visualization, Pattern Recognition, Semi Structured Interviews, Oceanography
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Kandlbinder, Peter – Higher Education Research and Development, 2012
"Higher Education Research & Development" ("HERD") was established to address a perceived gap in higher education publishing: research of interest to practitioners that was engagingly written. After 30 years of contributing to the field, "HERD" has constructed a unique position for itself among higher education…
Descriptors: Higher Education, Research and Development, Periodicals, Theory Practice Relationship
Samson, Duncan – Australian Mathematics Teacher, 2012
Pattern generalisation has become an important feature of mathematics classrooms around the globe. Sometimes these activities focus purely on given numerical terms, but the use of pictorial or figural patterns is now becoming part of the standard repertoire for such generalisation exercises. From a pedagogic point of view, the investigation of…
Descriptors: Algebra, Mathematics Instruction, Teaching Methods, Educational Strategies
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Waddell, K. A.; McChlery, S.; Asekomeh, A. O. – Research in Post-Compulsory Education, 2012
Computer Based Assessment (CBA) is propounded as a technique which seeks to meet competing pressures within higher education, both economic and pedagogic. There is, however, a need to better understand the use of CBA across different subject areas and levels, identifying barriers and enablers to its efficacy whilst also ensuring its fit with other…
Descriptors: Computer Assisted Testing, Formative Evaluation, Student Behavior, Independent Study
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Abdous, M'hammed; He, Wu – British Journal of Educational Technology, 2011
Because of their capacity to sift through large amounts of data, text mining and data mining are enabling higher education institutions to reveal valuable patterns in students' learning behaviours without having to resort to traditional survey methods. In an effort to uncover live video streaming (LVS) students' technology related-problems and to…
Descriptors: Video Technology, Student Participation, Data Analysis, Learning Experience
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Hershkovitz, Arnon; Nachmias, Rafi – Internet and Higher Education, 2011
This research consists of an empirical study of online persistence in Web-supported courses in higher education, using Data Mining techniques. Log files of 58 Moodle websites accompanying Tel Aviv University courses were drawn, recording the activity of 1189 students in 1897 course enrollments during the academic year 2008/9, and were analyzed…
Descriptors: Higher Education, Persistence, Internet, Data Processing
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Doyle, William R. – Journal of Higher Education, 2010
Congressional scholars have long analyzed legislative behavior by examining roll call votes. The study of roll call votes has rarely been extended to particular policy areas, with a few exceptions, such as abortion and environmental issues. This study examines roll call voting in the area of higher education policy. In examining voting patterns…
Descriptors: Legislators, Voting, Data Analysis, Pattern Recognition
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Fubara, Edward I.; Gardner, Matthew T.; Wolff, Jordan S. – Christian Higher Education, 2011
For a variety of reasons many Christian higher education institutions struggle to embrace issues of diversity. This paper explores some of the challenges facing Christian higher education institutions when it comes to embracing diversity, particularly in the area of employment. It begins with a discussion of basic diversity/diversity management…
Descriptors: Higher Education, Church Related Colleges, Christianity, Cultural Pluralism
Liu, Bin; Bi, Qing-sheng – Online Submission, 2010
The Verhulst model can be used to forecast the sequence, which is characterized as non-monotone and fluctuant sequence or saturated S-form sequence. According to the situation of national enrollment scale of college, this paper forecasts the quantity of students taking entrance examination to college with a Verhulst model with remedy based on data…
Descriptors: Higher Education, Foreign Countries, Mathematical Models, College Entrance Examinations
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Nykanen, Melissa – Journal of Electronic Resources Librarianship, 2011
The research reported in this article was undertaken to determine the level of implementation of institutional repositories (IRs) at small institutions enrolling fewer than 10,000 students. The study analyzed quantitative and qualitative data from IRs at a number of small institutions with the aim of observing relevant patterns and trends that may…
Descriptors: Higher Education, Small Schools, Electronic Publishing, Electronic Libraries
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Pistilli, Matthew D.; Arnold, Kimberly E. – About Campus, 2010
This article discusses how Purdue University is changing the academic behavior of struggling students. At Purdue, they've developed Signals as a means of helping students better understand where they stand gradewise early enough so that they can seek help and raise their grade or drop the course without the penalty of a failing grade. They knew…
Descriptors: Feedback (Response), Grades (Scholastic), Academic Achievement, Higher Education
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