Значок книги

Solving numerical method problems with mathematical software: Identifying computational thinking

Сохранить в:
Опубликовано в::Pedagogical Research vol. 9, no. 3 (Jul 2024), p. em0209
Главный автор: Marhan Taufik
Другие авторы: Reni Dwi Susanti
Опубликовано:
Предметы:
Problem solving
Pedagogy
Software
Students
Educational materials
Gender
Mathematics education
Ability tests
Numerical analysis
Data collection
Methods
Algebra
Females
Learning activities
Mathematical problems
Distance learning
Teachers
Pattern recognition
Mathematics Skills
Student Development
Open Source Technology
Influence of Technology
Learning Processes
Educational Technology
Observation
Instructional Materials
Mathematical Aptitude
Mathematics Instruction
Electronic Learning
Data Analysis
Student Participation
Research Tools
Mathematical Formulas
Computer Software
Mathematical Concepts
Methods Courses
Algorithms
Online-ссылка:Citation/Abstract
Full Text - PDF
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!
Краткий обзор:This research examines the application of students’ computational thinking (CT) in solving numerical method problems through computer software. Data collection involved observing their learning process and conducting tests to evaluate their CT skills within the context of the root approach material using Newton-Raphson method. The results indicate that the use of Microsoft Excel facilitates problem-solving for students and educators when employing Newton-Raphson method. Furthermore, it helps identify aspects or indicators of CT in students’ problem-solving processes. The research findings demonstrate that students with strong mathematical abilities should document their conclusions in the algorithmic aspect. Students with moderate mathematical abilities exhibit all indicators in every aspect of CT when solving problems using Newton-Raphson method. On the other hand, students with weak mathematical skills fail to articulate questions, formulas, or conclusions in the algorithm design aspect, but they do show all indicators in the pattern recognition and abstraction aspects.
ISSN:2468-4929
DOI:10.29333/pr/14583
Источник:Publicly Available Content Database