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Fulya Kula; Nelly Litvak; Tracy S. Craig – IEEE Transactions on Education, 2024
The sample mean in statistics is a concept of great importance, with its properties being extensively utilized in other areas, such as computer science. This research centers on the concept of the sample mean and its characteristics in a cohort of computer engineering students undertaking a required course in statistics at a university in the…
Descriptors: Computer Science Education, Engineering Education, Learning Processes, Statistics
Scanlan, Neda S. – Computers, Reading and Language Arts, 1984
Delineates the five skill areas needed to maximize computer competency--concept formation, comprehension, problem solving, study techniques, and occupational reading and employability skills. (CRH)
Descriptors: Basic Skills, Comprehension, Computer Science, Computer Science Education

Waldrop, M. Mitchell – Science, 1984
Discusses several areas of artificial intelligence and research in this area, focusing on natural language understanding. Indicates that language is more than words, that "meaning" depends on context, and that "understanding" requires a vast body of knowledge about the world. (JN)
Descriptors: Artificial Intelligence, Comprehension, Computer Science, Higher Education

Schruben, Lee W. – Journal of Computing in Higher Education, 1992
SIGMA (Simulation Graphical Modeling and Analysis) is a computer graphics environment for building, testing, and experimenting with discrete event simulation models on personal computers. It uses symbolic representations (computer animation) to depict the logic of large, complex discrete event systems for easier understanding and has proven itself…
Descriptors: Classroom Techniques, Comprehension, Computer Graphics, Computer Science Education

Dyck, Jennifer L.; Mayer, Richard E. – Journal of Educational Psychology, 1989
Computer-naive university students (N=124) were taught the BASIC programing language by solving and receiving feedback on program comprehension problems stated in BASIC or on corresponding problems stated in English followed by problems stated in BASIC. Results support a sequential method of instruction beginning with use of natural language…
Descriptors: College Students, Comprehension, Computer Assisted Instruction, Computer Science Education

Linn, Marcia C. – Learning and Instruction, 1992
The development and evaluation of a series of hypermedia tools designed to help students learn to program in PASCAL or LISP are described. Classroom trials with 171 college students illustrate use of the developed tools. The use of hypermedia to foster integrated understanding is discussed. (SLD)
Descriptors: Classroom Research, College Students, Comprehension, Computer Assisted Instruction

Scanlan, David A. – Computers in the Schools, 1989
Describes two studies of undergraduates that examined learner and gender preferences for structured flowcharts versus pseudocode in the comprehension of short, complex algorithms. Research dealing with algorithm comprehension and flowcharts is reviewed, hypotheses tested are explained, implications for instructors and instructional materials are…
Descriptors: Algorithms, Comprehension, Computer Science Education, Flow Charts

Shibli, Abdullah – College Teaching, 1992
In college courses in statistics and computer programing, learning can be enhanced when students are required to express formulas and notations in writing. This approach helps improve concept formation, comprehension, problem solving, and ability to draw conclusions and interpretations. Attention to syntax and form is important. (MSE)
Descriptors: College Instruction, College Mathematics, Comprehension, Computer Science
Minnesota Univ., Duluth. – 1993
This document is the proceedings of a cross-cultural education conference held in Russia. The conference had four major themes: learning and development, family involvement in education, community and social context of education, and pedagogy. Educational levels discussed ranged from early childhood to university. The body of the document is…
Descriptors: Aesthetic Education, Child Development, Child Health, Cognitive Development