Context-Free Grammar of a New Programming Language for Teaching and Learning

Author:

Qureshi Muhammad Aasim,Asif Muhammad,Feroz Faria

Abstract

Learning how to be programmer and uralitize the programming languages are the crucial point in computer science education. Programming languages are used by the students to write the program. Any machine needs a program to behave artificially intelligent or to perform any specific task. Any computing device is a useless without these programs. As every program is written in some specific programming language. Researchers are putting efforts in devising new languages to meets the goals and requirements of the specific domain of the programs that is going to be written in that language. Every programming language has its own semantics, nuances, and syntax with its pros and cons. For the early stage programmers these language specific details including semantics and syntax are hard to memorize or to familiar with it. Teachers often witness that these language specific barriers e.g., tough and confusing syntax of the language give hard time to students. Students generally stuck in learning the syntax and unconsciously learning programming skills go in back ground. This paper is going to present a Context-Free Grammar of a new programming language for early stage programing learners. In this language the hard part of syntax is relaxed by bring it to something that is close to their day to day communication so that they concentrate on logic and not on syntax.

Publisher

VFAST Research Platform

Reference34 articles.

1. A. L. Guzman, “What is human-machine communication, anyway,” Human-machine Communication Rethinking: Communication Technology and ourselves, Peter Lang, Book, pp. 1–28, 2018.

2. M. Soeken, T. Haener and M. Roetteler, “Programming quantum computers using design automation,” in 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE),Dresden, Germany, pp. 137–146, 2018.

3. D. Johnson and M. Ketel, “IoT: Application Protocols and Security,” International Journal of Computer Network & Information Security, vol. 11, no. 4, pp. 1–8, 2019, doi: 10.5815/ijcnis.2019.04.01.

4. K. Vinall and E. A. Hellmich, “Down the rabbit hole: Machine translation, metaphor, and instructor identity and agency,” Second Language Research & Practice, vol. 2, no. 1, pp. 99-118, 2021.

5. N. G. S. S. L. States, “Next generation science standards: For states, by states,” Washington, DC, USA, Book, 2013, DOI: https://doi.org/10.17226/18290.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3