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Larry Musolino – International Society for Technology, Education, and Science, 2024
A new course development is intended for students to investigate the intersection of mathematics with seemingly disparate areas of art, music, architecture, and nature. The course is designed to allow students to explore the hidden connections between the aesthetic pleasures of art, music and nature and that of mathematical foundations and how the…
Descriptors: Interdisciplinary Approach, Art Education, Mathematics Education, Music
Fatahi, Somayeh; Moradi, Hadi; Farmad, Elaheh – International Association for Development of the Information Society, 2015
Learning Style (LS) is an important parameter in the learning process. Therefore, learning styles should be considered in the design, development, and implementation of e-learning environments. Consequently, an important capability of an e-learning system could be the automatic determination of a student's learning style. In this paper, a set of…
Descriptors: Foreign Countries, Cognitive Style, Electronic Learning, Student Behavior
Ioannidou, Andri; Bennett, Vicki; Repenning, Alexander; Koh, Kyu Han; Basawapatna, Ashok – Online Submission, 2011
The iDREAMS project aims to reinvent Computer Science education in K-12 schools, by using game design and computational science for motivating and educating students through an approach we call Scalable Game Design, starting at the middle school level. In this paper we discuss the use of Computational Thinking Patterns as the basis for our…
Descriptors: Computer Science Education, Elementary Secondary Education, Student Motivation, Middle School Students
Magliaro, Susan; Burton, John K. – 1986
To investigate what children learn during computer programming instruction, students attending a summer computer camp were asked to recall either single lines or chunks of computer programs from either coherent or scrambled programs. The 16 subjects, ages 12 to 17, were divided into three instructional groups: (1) beginners, who were taught to…
Descriptors: Adolescents, Analysis of Variance, Cognitive Ability, Computer Science Education