基于人工智能的学习创新的扩散;MTs 案例研究 Muhammadiyah Tawangsari Sukoharjo

N. Laksana, Ayu Usada Rengkaningtias, Wuri Handayani
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引用次数: 0

摘要

塔旺萨里穆罕默德学校(Madrasah Tsanawiyah Muhammadiyah Tawangsari)是一所初中教育机构,其课程以伊斯兰教义为基础,并在穆罕默德价值观的基础上逐步应用信息技术(IT)。本研究旨在确定基于技术的学习中的创新传播过程,重点关注教师在学习中应用人工智能时作为变革推动者的作用。采用的研究方法是定性描述法,对四位在引入创新方面发挥关键作用的教师进行了深入访谈。结果显示,大多数教师通过各种社会化活动、研讨会和培训获得了有关人工智能应用的信息。塔旺沙里 MTs 的学习创新传播涉及多种传播渠道,包括人际传播,如讲座、对话和有效实践演示;通过大众媒体传播,如在学校网站上发表文章;以及通过社交媒体传播,如 Youtube、Instagram 和 Facebook。此外,教师们还认为,"后流行病学习 "的创新具有重大的紧迫性,其成功指标是学生在学习过程中的积极参与程度有所提高。此外,教师们还表示需要社区平台和基于人工智能学习的持续培训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diffusion of artificial intelligence-based learning innovation; A case study in MTs Muhammadiyah Tawangsari Sukoharjo
Madrasah Tsanawiyah Muhammadiyah Tawangsari is a junior high school level educational institution that bases its curriculum on Islamic principles and progressively applies information technology (IT) on the foundation of Muhammadiyah values. This study aims to determine the process of diffusion of innovation in technology-based learning, focusing on the role of teachers as agents of change in applying artificial intelligence in the context of learning. The research method used was qualitative descriptive, involving in-depth interviews with four teachers who had key roles in introducing the innovation. The results showed that most teachers have received information about the use of artificial intelligence through various socialization activities, workshops, and training. The diffusion of learning innovations in MTs Tawangsari involves various communication channels, including interpersonal communication such as lectures, dialogues, and demonstrations of effective practices; communication through mass media, such as the publication of writings on school websites; and communication through social media, such as Youtube, Instagram, and Facebook. In addition, teachers consider that innovation in post-pandemic learning has significant urgency, with success indicators in the form of increased active student participation in the learning process. In addition, teachers also voiced the need for community platforms and continuous training on artificial intelligence-based learning.
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