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Adaptation of Project-Oriented Problem-Based Framework for Teaching Computer Programming

机译：适应基于项目的基于问题的基于问题的计算机编程框架

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Emerging technologies in education in these recent years have constantly impacted teaching and learning. One of those emerging technologies for teaching nowadays is using robotics. In the field of engineering and technology, programming is one of the most vital and challenging skills to learn. Programming can be tough for novices especially for those who have not acquired any basic programming skills. Robots have been used in the past few years to support the teaching of programming. Researchers have found that students are more interested in programming through robots utilization in teaching compared to traditional teaching methods. Therefore, this study has proposed a way for teaching and learning of programming to be more effective through adapting an existing Project-Oriented Problem-Based Learning (POPBL) framework. Most research works in the past have only implemented the teaching of programming using robotics through a Problem-Based Learning (PBL) framework without considering a systematic PBL framework. Thus, this work aims to study the effectiveness of using a mobile robot known as `RoboKar' as a tool to support the learning of introductory programming by adapting an existing POPBL framework. The effectiveness of the adapted framework was assessed by evaluating three categories of learning comprising analytical and problem solving, learner's knowledge, as well as, collaborative learning. Our study results showed that by adapting a POPBL framework, students can acquire a better understanding in learning introductory programming concepts.
机译：在这些近年来教育中的新兴技术不断影响教学和学习。如今的那些新兴技术之一是使用机器人学。在工程和技术领域，编程是学习最重要和最具挑战性的技能之一。对于那些没有获得任何基本编程技能的人来说，节目对于新手来说可能是艰难的。机器人在过去几年中已被使用，以支持编程教学。研究人员发现，与传统教学方法相比，学生通过机器人利用率进行编程。因此，本研究提出了一种教学和学习方案，通过调整现有的基于项目的基于问题的学习（Popbl）框架来更加有效。过去的大多数研究作品只通过基于问题的学习（PBL）框架来实现使用机器人的编程教学，而不考虑系统的PBL框架。因此，这项工作旨在研究使用称为“robokar”的移动机器人作为支持介绍性编程学习的工具的有效性，以适应现有的popbl框架。通过评估包括分析和问题解决，学习者的知识以及协作学习的三类学习来评估适应框架的有效性。我们的研究结果表明，通过调整Popbl框架，学生可以在学习介绍性编程概念方面获得更好的理解。

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