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Hemy Ramiel; Eran Fisher – Learning, Media and Technology, 2024
This paper adds an algorithmic epistemology perspective to previous works that examine the datafication of subjective social and emotional characteristics, perceptions, and behaviours. The paper employs a comparative epistemological approach to explore two behavioural educational platforms: RedCritter Teacher and Panorama Education. We unpack…
Descriptors: Epistemology, Social Emotional Learning, Data, Higher Education
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
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
Delen, Dursun – Journal of College Student Retention: Research, Theory & Practice, 2012
Affecting university rankings, school reputation, and financial well-being, student retention has become one of the most important measures of success for higher education institutions. From the institutional perspective, improving student retention starts with a thorough understanding of the causes behind the attrition. Such an understanding is…
Descriptors: Higher Education, Student Attrition, School Holding Power, Prediction
Chen, Ling; Liu, Yang; Gallagher, Marcus; Pailthorpe, Bernard; Sadiq, Shazia; Shen, Heng Tao; Li, Xue – Journal of Information Systems Education, 2012
The demand for graduates with exposure in Cloud Computing is on the rise. For many educational institutions, the challenge is to decide on how to incorporate appropriate cloud-based technologies into their curricula. In this paper, we describe our design and experiences of integrating Cloud Computing components into seven third/fourth-year…
Descriptors: Computers, Schools, Foreign Countries, Computer Science
Vialardi, Cesar; Bravo, Javier; Shafti, Leila; Ortigosa, Alvaro – International Working Group on Educational Data Mining, 2009
One of the main problems faced by university students is to take the right decision in relation to their academic itinerary based on available information (for example courses, schedules, sections, classrooms and professors). In this context, this work proposes the use of a recommendation system based on data mining techniques to help students to…
Descriptors: Data Analysis, Higher Education, Course Selection (Students), Enrollment
Ahrens, Fred – Journal of STEM Education: Innovations and Research, 2009
University student internships can be an important pre-professional experience for the student and be an immense benefit to an employer. Because of the findings of a 6-Sigma project to reduce engineering errors, a design configurator was to be rebuilt to include updated design information and expanded product coverage. Lacking available full time…
Descriptors: Graduate Students, Engineering, College Students, Higher Education
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Wirt, Edgar – Coll Univ, 1969
Descriptors: College Students, Computer Oriented Programs, Data Processing, Higher Education
Turner, Judith Axler – CAUSE/EFFECT, 1984
Allocating limited resources to an unlimited demand is an issue faced by data processing management in higher education. Use of the central computer for word processing is creating a demand at many institutions that is stretching and exceeding the available computing resources. (Author/MLW)
Descriptors: College Students, Computers, Data Processing, Higher Education

Hengehold, Lawrence; Keim, Roland – College and University, 1975
Reviews the experience of Southern Illinois University at Carbondale with an on-line registration system and a subsequent change to the use programmable terminals with the Sanders 810 computer, which is considered a significant improvement at less cost. Advantages and disadvantages of both systems are detailed. (JT)
Descriptors: College Students, Computer Oriented Programs, Computers, Cost Effectiveness
Goddard, Suzette; And Others – 1973
This data element dictionary is divided into five categories: course, facilities, finance, staff, and student. The data categories and definitions suggested represent common usage except in identified instances. The dictionary does not contain a complete list of data elements that should be included in an institutional data system. Unique…
Descriptors: College Students, Course Content, Data Collection, Data Processing

Gersting, John M., Jr. – College and University, 1975
A brief nontechnical description of time-sharing computer software developed at Indiana University-Purdue University at Indianapolis as an aid in disseminating class schedule information. Design criteria include maintenance of a data base on sections offered, display of sections closed, and creation of reports on in individual schedules for closed…
Descriptors: College Students, Computer Oriented Programs, Computer Programs, Data Processing
Stewart, William C. – Journal of College Placement, 1975
A placement service finds that nothing can beat a computerized student retrieval system, one that is tailored to their needs and several generations more advanced than their initial "Shoebox." (Author)
Descriptors: College Students, Computer Oriented Programs, Data Processing, Higher Education
Clem, Pamela; Olson, Mark – CAUSE/EFFECT, 1987
The formation of a partnership between the Internal Audit Department's EDP auditor and the Administrative Systems Team at the University of Southern California during the implementation of a student information system is discussed. Success in security, accountability, reliability, and credibility are obtainable through such a partnership.…
Descriptors: Attitudes, Audits (Verification), College Students, Cooperation
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