公共关系课教学中人工智能深度学习的初步研究

Chuan-Hsiu Ho
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引用次数: 0

摘要

本研究通过对公共关系教育文献的梳理发现,美国和中国的公共关系教育大多遵循“学与用”的实践导向,强调跨学科整合,教授“理论”vs“技能”的原则来开设公共关系课程。本研究表明,在社会环境和技术智能快速变化的中国,现有的课程规划明显存在不足。公共关系教育工作者必须加强智能知识型“独立选题”课程的规划,以适应当前的社会形势和企业的实际需要,同时培养更好的公共关系研究人才。最后,本研究利用智能深度学习来明确课程规划和教学目标,并建立了公共关系教学“自主选题”课程规划的课程案例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Preliminary Study of Artificial Intelligence Deep Learning Amid Teaching of Public Relations Course
This research reviews the public relations education literature and finds that public relations education in the United States and China mostly follow the practice orientation of “learning and use”, emphasize cross-disciplinary integration, and teach the principles of “theory” vs. “skills” to establish public relations course. This research declares that in China where the social environment and technological intelligence are rapidly changing, the existing curriculum planning obviously has its shortcomings. Public relations educators must strengthen the planning of intelligent knowledge-oriented “independent topic” curriculum to meet the current social situation and satisfy corporate practical needs, and meanwhile cultivate better public relations research talents. Finally, this research uses intelligent deep learning to specify the curriculum planning and teaching goals, and establishes a curriculum case for the planning of the “independent topic” curriculum for public relations teaching.
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