The Game-based Learning (GbL) Platform with Generative AI to Enhance Digital and Technology Literacy Skills

Higher Education Studies Pub Date : 2024-01-13 DOI:10.5539/hes.v14n1p46

Suthada Muengsan, Pinanta Chatwattana

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Abstract

The GbL platform, or game-based learning platform, with generative AI is a research tool initiated from the combination of game-based learning concepts and generative artificial intelligence technology; thereby, this platform is intended to be used as a guideline for the instruction management, in which learners can respond and interact with the real-time activities by means of gamification. The objectives of this research are (1) to study and synthesize the conceptual framework of the GbL platform with generative AI to enhance digital and technology literacy skills, (2) to develop the architecture of the GbL platform with generative AI to enhance digital and technology literacy skills, and (3) to study the results of the development of the GbL platform with generative AI to enhance digital and technology literacy skills. The results of this research show that (1) the overall elements suitability of the architecture of the GbL platform with generative AI is at the highest level (Mean = 4.51, SD = 0.48), and (2) the overall suitability of the architecture of the GbL platform with generative AI is at the highest level (Mean = 4.59, SD = 0.41). Nevertheless, there are still some research gaps in this study; that is, this study was conducted with quite a small sample group and it focuses mainly on the results of evaluation on the architecture of the GbL platform. Therefore, this research is regarded merely as a pilot study designated for feasibility study to further develop the GbL platform that can be put in practical use in the future.

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基于游戏的学习（GbL）平台与生成式人工智能，提高数字和技术素养技能

GbL平台，即基于游戏的学习平台，是将基于游戏的学习概念与生成式人工智能技术相结合而开发的一种研究工具；因此，该平台旨在作为教学管理的指南，学习者可以通过游戏化的方式对实时活动做出反应和互动。本研究的目标是：（1）研究和总结生成式人工智能 GbL 平台的概念框架，以提高数字和技术素养技能；（2）开发生成式人工智能 GbL 平台的架构，以提高数字和技术素养技能；（3）研究生成式人工智能 GbL 平台的开发成果，以提高数字和技术素养技能。研究结果表明：(1) 具有生成式人工智能的 GbL 平台架构的整体要素适宜性处于最高水平（平均值=4.51，标准差=0.48）；(2) 具有生成式人工智能的 GbL 平台架构的整体适宜性处于最高水平（平均值=4.59，标准差=0.41）。尽管如此，本研究仍存在一些不足之处，即研究样本较少，且主要侧重于对 GbL 平台架构的评估结果。因此，本研究仅被视为一项试点研究，旨在进行可行性研究，以进一步开发 GbL 平台，并在将来投入实际使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Higher Education Studies

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