游戏化学习的模型驱动框架

IF 3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Seyedeh Hasti Mousavi, Shekoufeh Kolahdouz Rahimi, Leila Samimi Dehkordi
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引用次数: 0

摘要

编程被广泛认为是一种基本的、实用的技能,可以通过各种应用应用于各个领域。然而,初学者在学习编程时经常面临挑战,主要是由于缺乏结构化的教学框架和底层概念的复杂性。这种障碍会削弱学习者继续深造的动力。为了解决这个问题,游戏化被用作一种策略,在他们的教育旅程中吸引和激励初学者。因此,提出利用游戏化的在线编程教育系统来简化学习过程。然而,设计和执行有效整合游戏元素的教育课程需要游戏领域的专业知识。在这项研究中,模型驱动的方法为教学编程创建了一个游戏化框架。该方法为编程概念和游戏化开发了一种领域特定的建模语言,为课程设计设计了一个图形化编辑器,并实现了一个模型到代码的转换引擎,需要最少的先验知识。与传统方法相比,通过可用性测试、问卷调查和GQM方法进行的评估显示出增强的可用性、改进的有效性和高满意度。该框架为简化游戏化课程开发和支持新手程序员提供了解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Model-Driven Framework for Gamification of Learning Introductory Programming

A Model-Driven Framework for Gamification of Learning Introductory Programming

Programming is widely recognized as a fundamental and practical skill applicable across diverse fields through various applications. However, novices often face challenges in learning programming, primarily due to the absence of a structured instructional framework and the complexity of underlying concepts. This obstacle can diminish learners’ motivation to pursue further education. To address this, gamification is employed as a strategy to engage and inspire beginners in their educational journey. Consequently, the utilization of a gamified online programming education system is proposed to simplify the learning process. Nevertheless, designing and implementing educational courses that effectively integrate gaming elements requires expertise in the gaming field. In this study, a model-driven approach creates a gamification framework for teaching programming. The methodology develops a domain-specific modeling language for programming concepts and gamification, designs a graphical editor for course design, and implements a model-to-code transformation engine requiring minimal prior knowledge. Evaluation through usability testing, questionnaires, and the GQM approach shows enhanced usability, improved effectiveness, and high satisfaction compared to traditional methods. The framework offers a solution for simplifying gamified course development and supporting novice programmers.

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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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