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Jakab, Imrich; Ševcík, Michal; Grežo, Henrich – Electronic Journal of e-Learning, 2017
The methods of geospatial data processing are being continually innovated, and universities that are focused on educating experts in Environmental Science should reflect this reality with an elaborate and purpose-built modernization of the education process, education content, as well as learning conditions. Geographic Information Systems (GIS)…
Descriptors: Models, Higher Education, Geographic Information Systems, Environmental Education
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
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
O'Reilly, Una-May; Veeramachaneni, Kalyan – Research & Practice in Assessment, 2014
Because MOOCs bring big data to the forefront, they confront learning science with technology challenges. We describe an agenda for developing technology that enables MOOC analytics. Such an agenda needs to efficiently address the detailed, low level, high volume nature of MOOC data. It also needs to help exploit the data's capacity to reveal, in…
Descriptors: Data, Technology Uses in Education, Online Courses, Open Education
Hignite, Karla – EDUCAUSE Review, 2009
Green information technology (IT) is grabbing more mainstream headlines--and for good reason. Computing, data processing, and electronic file storage collectively account for a significant and growing share of energy consumption in the business world and on higher education campuses. With greater scrutiny of all activities that contribute to an…
Descriptors: Higher Education, Energy Conservation, Computers, Educational Technology
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers
Sherwood, Bruce Arne; Stifle, Jack – 1975
The PLATO IV computer-based educational system contains its own communications hardware and software for operating plasma-panel graphics terminals. Key echoing is performed by the central processing unit: every key pressed at a terminal passes through the entire system before anything appears on the terminal's screen. Each terminal is guaranteed…
Descriptors: Computer Assisted Instruction, Computer Graphics, Computer Oriented Programs, Computer Programs
Corripio, Armando B. – 1969
Hybrid computation facilities have been in operation at Louisiana State University since the spring of 1969. In part, they consist of an Electronics Associates, Inc. (EAI) Model 680 analog computer, an EAI Model 693 interface, and a Xerox Data Systems (XDS) Sigma 5 digital computer. The hybrid laboratory is used in a course on hybrid computation…
Descriptors: Analog Computers, Computer Assisted Instruction, Computer Science, Computer Science Education
Barnes, Tiffany; Stamper, John – Educational Technology & Society, 2010
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. However, building this understanding into a computer-based intelligent tutor is a time-intensive process usually conducted by subject experts. Much of this time is spent in building production rules that…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Tutors, Probability
Association for Educational Data Systems, Washington, DC. – 1979
Eighty-six papers presented at the 17th Annual Association for Educational Data Systems convention cover the educational application of computers in the following areas: computer assisted instruction, instructional and learning processes, computer-related curriculum, educational administration, computer resources, and data-center administration.…
Descriptors: Administration, Computer Assisted Instruction, Computer Managed Instruction, Computer Science Education
Zinn, Karl L. – 1974
The MERIT Computer Network interconnects computing systems of three large universities: The University of Michigan, Michigan State University, and Wayne State University. This telecommunication system facilitates the sharing of computing resources among students, faculty, and research staffs of those institutions. The present document provides an…
Descriptors: College Faculty, College Students, Computer Assisted Instruction, Computer Oriented Programs
Illick, Peter M.; Taylor, Kenneth B. – Journal of Educational Data Processing, 1974
Computer assistance in the task of recordkeeping for freshman core instructional programs can be an instructional asset. (Author)
Descriptors: Communication Skills, Computer Assisted Instruction, Computer Managed Instruction, Computer Oriented Programs
Gantt, Vernon W. – 1983
In exploring the impact of microcomputers and the future of the university in 1985 and beyond, a distinction should be made between computing literacy--the ability to use a computer--and computer literacy, which goes beyond successful computer use to include knowing how to program in various computer languages and understanding what goes on…
Descriptors: Computer Literacy, Computer Oriented Programs, Computer Science Education, Computers
Peer reviewedMc Gough, Bobby C. – AEDS Journal, 1971
Data from a survey of colleges and universities indicate most offer some academic program in electronic data processing, but only larger institutions offer computer science as a major field. (Author/RA)
Descriptors: College Curriculum, Computer Science, Computer Science Education, Computers
Simon, Sheridan A. – Computing Teacher, 1983
Discusses approach to integrating computer programing into a calculus-based physics survey college course which stresses three major uses of computers: data reduction, calculation, and simulation. An initial programing exercise and practical constraints--time a student can allot to course and student's level of confidence--are mentioned. (EJS)
Descriptors: Computation, Computer Literacy, Computer Oriented Programs, Computer Programs

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