Science, technology and social work 科学、技术与社会工作
兰州大学
主讲教师:IRIS CHI, 王英
教师团队:共2位
《科学、技术与社会工作》这门课程讨论最新的技术进步对社会工作实践和社会工作教育的影响。
课程涵盖的主题包括:新兴技术与社会工作领域的相关性;数字技术和社会工作的基本概念;在宏观、中期和微观层面的社会工作实践中采用的最新技术;社会工作者从事数字技术的技能以及对社会工作和计算机科学教育的影响。
本课程旨在开展跨学科的学习,是一门小型研讨会式课程,招生人数有限,希望来自计算机科学、工程、社会工作的学生群体参与这个课程。学生不需要计算机的编程经验或社会工作的临床实践经验,但是需要全情投入并与社会工作或计算机科学建立联系。该课程将为学生提供一个学习机会,这个学习机会将从计算机科学的概念层面和社会工作实践的概念层面推进跨学科讨论和分析。除了讲座(通常是带例子的概念介绍),该课程也是一门讨论式的课程,重点是跨学科小组团队共同设计构想一个社会工作的方案。
There is little doubt that social work practice has been, is, and will continue to be impacted by emerging technologies around the globe. However, while it is relatively easy to locate descriptions of innovative technologies and social work services utilizing these technologies, it is somewhat more difficult to locate concrete evidence to illustrate actual widely-adopted changes in the practice arena brought about as a result of technology use in social work practices.
Technology and Social Work is a course which discusses the impact that recent technological advances have had on social work practice and education, is being jointly taught by Dr. Iris Chi (University of Southern California) and Dr. Wang Ying (Lanzhou University). The purpose of the class is to expose students to a new field of digital social service which merges existing knowledge and practices with theory and research contexts from social work. This course will cover topics including the emerging technology and its relevance to the field of social work; basic concepts in digital technology and social work; adoption of technology in social work practices at macro-, mezzo-, and micro-levels; skills for social workers to engage in digital technology and the impacts on social work and computer science education.
This course is intended to be trans-disciplinary. It will be a small seminar style course, with limited enrollment. The intention is hoping to have the student body from computer science, engineering, and social work. There is no need for programming experience or social work practice experience per se, however, a deep connection to either social work or computer science is needed. The course will provide a learning opportunity to advance this new trans-disciplinary work, from both a conceptual level in computer science and a conceptual level in social work practice. Besides lectures (typically concept introduction with examples), the course is a discussion style course and will include an emphasis on group projects which are tackled in trans-disciplinary teams.
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