IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Visual Programming-Based Visual Learning Media to Learn Programming Technique With Fuzzy Rating

Visual Programming-Based Visual Learning Media to Learn Programming Technique With Fuzzy Rating
View Sample PDF
Author(s): I. G. P. Asto Buditjahjanto (Universitas Negeri Surabaya, Indonesia)and M. Riduwan (Universitas Negeri Surabaya, Indonesia)
Copyright: 2020
Pages: 28
Source title: Handbook of Research on Diverse Teaching Strategies for the Technology-Rich Classroom
Source Author(s)/Editor(s): Lawrence A. Tomei (Robert Morris University, USA)and David D. Carbonara (Duquesne University, USA)
DOI: 10.4018/978-1-7998-0238-9.ch018

Purchase

View Visual Programming-Based Visual Learning Media to Learn Programming Technique With Fuzzy Rating on the publisher's website for pricing and purchasing information.

Abstract

Programming techniques is a difficult subject for the majority of students at vocational high schools in Indonesia. One of the problems is that the teaching-learning process still uses textual learning media with no interaction with students. Visual learning media offers some advantages to attract the attention of users, interact with users, involve users, and multimodal for users. Because of this, it is necessary to develop visual learning media to utilize visual programming to make it easier for students to understand programming techniques. The aims of this chapter are to determine the learning media feasibility utilizing visual programming to find the students' responses to utilizing visual learning media and to applying fuzzy rating for the feasibility and students' responses toward media learning based on visual programming. The research results showed that fuzzy preference can be applied to assess the learning media feasibility and students' responses to the use of visual learning media utilizing visual programming.

Related Content

Marlett Jasmin Blas Rivera. © 2024. 24 pages.
Mario Muñoz Mercado. © 2024. 31 pages.
Tahir Iqbal. © 2024. 31 pages.
Nadim Akhtar Khan. © 2024. 20 pages.
Sandra Viridiana Cortés Ruiz. © 2024. 26 pages.
María Elena Zepeda Hurtado, Claudia Angélica Membrillo Gómez, Francisco Javier Arias Candanosa. © 2024. 23 pages.
Renu Prajapati, Sandhya Gupta. © 2024. 29 pages.
Body Bottom