ChatGPT: Towards Educational Technology Micro-Level Framework

Carie Justine Estrellado, Glen Millar
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Abstract

The study explores the role of ChatGPT in the development of a micro-level framework for Educational Technology (EdTech). This study employed an inductive research design particularly a Constructivist Grounded Theory (CGT) approach from thirty-four private secondary high school teachers in the Philippines. To gather insights from specific participants, a semi-structured interview format was utilized. The instrument went through face validation from two experts well-versed in education research, instrumentation, and three-stage prompts. In addition, using JAMOVI software, Fleiss’ Kappa was used with a value of 0.715 indicating a substantial agreement among the expert validators. The interviews were designed to be open-ended, allowing for a flexible exploration of the research topic then subjected for data analysis with the aid of QDA Miner lite software. The findings revealed three (3) distinct milieux: pedagogical support, professional development, and ethical sense. In the (a) pedagogical support milieu, ChatGPT emerges as a virtual compass, offering real-time assistance, explanations, and guidance for teachers. It demonstrates the capability to answer questions, clarify concepts, and provide step-by-step support, crafted to individual students’ needs and learning styles; within the (b) redesigning milieu, it serves as a catalyst for adapting and recalibrating assessment and teaching strategies to suit learning purpose; and (c) ethical sense milieu highlights various implications, including data privacy, plagiarism, transparency, accountability, and overly reliant to the AI tool. Thus, this paper offers a micro-level framework anchored to the ChatGPT’s role in EdTech and aims to stimulate further scholarly discourse in the field.
ChatGPT:迈向教育技术微观层面框架
本研究探讨了 ChatGPT 在制定教育技术(EdTech)微观框架中的作用。本研究采用归纳式研究设计,特别是建构主义基础理论(CGT)方法,研究对象为菲律宾 34 名私立中学教师。为了收集特定参与者的见解,采用了半结构化访谈的形式。该工具经过了两位精通教育研究、工具和三阶段提示的专家的面谈验证。此外,还使用 JAMOVI 软件进行了弗莱斯卡帕(Fleiss' Kappa)检验,检验值为 0.715,表明专家验证者之间的意见非常一致。访谈设计为开放式,允许对研究主题进行灵活探讨,然后借助 QDA Miner lite 软件进行数据分析。研究结果显示了三(3)个不同的环境:教学支持、专业发展和伦理意识。在 (a) 教学支持环境中,ChatGPT 作为虚拟指南针出现,为教师提供实时帮助、解释和指导。它展示了回答问题、澄清概念和提供逐步支持的能力,并根据学生的个人需求和学习风格进行了精心设计;在(b)重新设计环境中,它是调整和重新调整评估和教学策略以适应学习目的的催化剂;(c)伦理意义环境突出了各种影响,包括数据隐私、剽窃、透明度、问责制和对人工智能工具的过度依赖。因此,本文提供了一个微观层面的框架,立足于 ChatGPT 在教育技术中的作用,旨在进一步激发该领域的学术讨论。
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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