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Showing 1 to 15 of 171 results Save | Export
Cohen, Eli – Technological Horizons in Education, 1984
Reports on the use of a new version of the BASIC programing language to teach computer operation in both undergraduate and graduate curricula. Concludes that although it may not be the perfect teaching version, it appears to be much better than any other alternative. (JN)
Descriptors: Computer Science, Computer Science Education, Higher Education, Programing Languages
Peer reviewed Peer reviewed
Horton, Graeme – Computer Education, 1983
With the production of SBAS, a combination of language and machine allowing for a disciplined and error-free approach to teaching programming is available. Instructional strategies for use with SBAS and basic concepts (decisions, repetitions/iterations, actions/processes) are discussed. Sample flow charts and program listings are provided. (JN)
Descriptors: Computer Science, Computer Science Education, Foreign Countries, Microcomputers
Ever, Jacob – Creative Computing, 1981
Features of two versions of the BASIC programing language are compared with the features of the PASCAL programing language. The application chosen for comparison was a word processor. The conclusion was that PASCAL had the best language features, but BASIC had better systems capabilities. (MP)
Descriptors: Comparative Analysis, Computer Science, Computer Science Education, Computers
Rubinstein, Richard – TOPICS in Instructional Computing, 1975
Paper describes computer language courses in terms of the demands placed on the computing language used, and the ideas to which the students were exposed. Those characteristics of LOGO which are most important to the success of the courses are evaluated. (Author)
Descriptors: Computer Science, Computer Science Education, Course Descriptions, Educational Technology
Peer reviewed Peer reviewed
Steen, Lynn Arthur – Two-Year College Mathematics Journal, 1983
John G. Kemeny, co-author of the BASIC programing language and co-developer of the Dartmouth Time-Sharing System, is interviewed. He responds to questions on computer languages, the role of computer science, future uses of computers, and mathematics instruction. (MP)
Descriptors: Computer Science, Computer Science Education, Computers, Higher Education
Burnett, James – Educational Research and Methods, 1979
This paper describes the instructional format of the lecture and the self-paced methods of teaching FORTRAN at Michigan State University and compares end-of-term grades of students taking a second computer science course based on whether they took the first course in the self-paced or the traditional lecture format. (Author/BB)
Descriptors: Computer Science, Computer Science Education, Course Evaluation, Engineering Education
Blank, George – Creative Computing, 1981
Ten computer languages are compared and contrasted. A series of programs focusing on the average of two numbers are designed to point out differences in console input, console output, and common arithmetic. (MP)
Descriptors: Comparative Analysis, Computer Programs, Computer Science, Computer Science Education
Wold, Allen – Classroom Computer News, 1983
Explains what a computer programing language is in general, the differences between machine language, assembler languages, and high-level languages, and the functions of compilers and interpreters. High-level languages mentioned in the article are: BASIC, FORTRAN, COBOL, PILOT, LOGO, LISP, and SMALLTALK. (EAO)
Descriptors: Computer Science, Programing, Programing Languages
Gonzalez, Richard F.; McMillan, Claude, Jr. – 1971
Designed for undergraduate social science students, this textbook concentrates on using the computer in a straightforward way to manipulate numbers and variables in order to solve problems. The text is problem oriented and assumes that the student has had little prior experience with either a computer or programing languages. An introduction to…
Descriptors: Algorithms, Computer Oriented Programs, Computer Science, Computer Science Education
Peer reviewed Peer reviewed
Pitteway, M. L. V. – International Journal of Mathematical Education in Science and Technology, 1972
Problems of designing a college honors program in computer science as an academic discipline are disucssed. (MM)
Descriptors: College Programs, Computer Science, Computer Science Education, Computers
Hardy, R. Reed; Elfner, Eliot S. – Creative Computing, 1982
PILOT is the generic name of a programing language suited for authoring/executing CAI educational programing. The strengths/weaknesses of TRS-80 MicroPilot (formerly Pilot Plus) and differences between Micropilot and Basic and CAI courseware authoring languages are discussed. Major strength is efficiency for educational/interactive programing with…
Descriptors: Computer Assisted Instruction, Computer Programs, Computer Science, Computer Science Education
Association for Educational Data Systems, Washington, DC. – 1971
In this introductory pamphlet, computers are defined, and the main components of a computer system (input, storage or memory, control, arithmetic logic, and output), the language of the computer and use of computers in education are discussed. The latter section considers computer science, computer-assisted instruction, programed instruction,…
Descriptors: Computer Assisted Instruction, Computer Science, Computer Science Education, Computers
Berryman, J. P. – Mathematics Teaching, 1971
Descriptors: Algorithms, Computer Science, Computer Science Education, Computers
Leaf, William A. – 1971
SLIP (Symmetric List Processing) is a list processing system designed to be added to a higher order language (PL-1 in this version) so that the user has available to him list processing powers. The primary value of such a system is its data handling power. Through SLIP, one can set up lists of data, scan those lists, alter them, and read or write…
Descriptors: Computer Science, Data Processing, Programing Languages
Peer reviewed Peer reviewed
Gannon, John D. – International Journal of Man-Machine Studies, 1976
Recently a number of experiments have been performed whose aim was to compare programming language features to determine which programming language features programmers found difficult to use. This paper examines these experiments in light of the evidence that programming language designers would find most useful. (Author)
Descriptors: Computer Science, Evaluation, Experiments, Programing Languages
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