汕头大学组织教师参加“生成式人工智能赋能未来教师”高级研修班

  • 2025年6月11日消息

为落实教育强国建设部署，提升教师人工智能素养与教学创新能力，汕头大学教师发展与教育评估中心将选派教师参加“生成式人工智能赋能未来教师”高级研修班第十期。研修班聚焦生成式人工智能（GAI）与教育教学深度融合，具体安排如下：

参加对象

各教学单位推荐教师参加，优先推荐：

  • 拟参加教学创新大赛或青年教师教学大赛者
  • 申报"人工智能赋能本科教育教学"专项项目者
  • 承担"人工智能+课程"建设项目者

推荐名额分配： 文学院、工学院、理学院、医学院、数学与计算机学院各2-3名；商学院、新闻与传播学院、化学化工学院、艺术与设计学院、法学院各1-2名；马克思主义学院等5个单位各1名。

研修安排

  • 时间：2025年7月10日-14日（含报到及返程）
  • 地点：华南师范大学广州天河校区石牌校园
  • 形式：24学时线下工作坊 + 3个月在线指导
  • 核心目标：
    1. 深化GAI教育融合理论
    2. 掌握GAI工具操作技能
    3. 设计AI赋能教学方案
    4. 培育智能教育伦理思维

六大课程模块

  1. 人工智能赋能教学的理论与场景观摩
  2. GAI辅助教学材料生成（课件/总结/数字虚拟人等）
  3. GAI驱动教学资源创作（绘图/音乐/微课）
  4. 人机协同教学设计创新
  5. AI支持教学评价与数据分析
  6. GAI助力教育科研申报

报名事项

  • 截止时间：2025年6月12日17:00前
  • 提交方式：填写报名表发送至 [email protected]
  • 费用承担：培训费由学校承担，交通住宿费由派出单位承担
  • 要求：确保全程参与研修

联系人：李丰杰、黄之琦（0754-86503165） 该研修项目凸显汕头大学推动AI与教育深度融合的战略方向，助力教师适应智能教育新范式。

Shantou University Organizes Faculty Participation in "Generative AI Empowering Future Teachers" Advanced Training Program

  • June 11, 2025 News

To implement national education enhancement initiatives and boost faculty competence in AI-aided pedagogy, Shantou University's Teacher Development Center will send selected educators to the 10th "Generative AI Empowering Future Teachers" Advanced Training Program. The program focuses on deep integration of Generative AI (GAI) with teaching practices.

Participants

Faculty nominated by academic units, prioritized for those:

  • Preparing for teaching innovation competitions
  • Leading AI-education integration projects
  • Developing "AI+Curriculum" initiatives

Nomination Quotas: College of Liberal Arts, Engineering, Science, Medicine, and Math & Computer Science: 2-3 each; Business, Journalism, Chemistry, Art & Design, Law: 1-2 each; 5 other units: 1 each.

Program Structure

  • Date: July 10-14, 2025 (incl. arrival/departure)
  • Venue: South China Normal University (Guangzhou)
  • Format: 24-hour offline workshop + 3-month online mentoring
  • Key Objectives:
    1. Advance GAI-education integration theory
    2. Master GAI tool operational skills
    3. Design AI-enhanced teaching solutions
    4. Cultivate ethical AI education frameworks

Six Course Modules

  1. AI-empowered teaching theory & scenario observation
  2. GAI-assisted material generation (slides/summaries/digital avatars)
  3. GAI-driven resource creation (graphics/music/micro-lectures)
  4. Human-AI collaborative teaching design
  5. AI-powered pedagogical assessment & analytics
  6. GAI applications in educational research

Registration

  • Deadline: June 12, 2025 (17:00)
  • Submission: Application form to [email protected]
  • Costs: Training fees covered by university; travel/lodging by departments
  • Requirement: Full attendance mandatory

Contact: Li Fengjie, Huang Zhiqi (0754-86503165) This initiative underscores STU's commitment to AI-education convergence and next-generation pedagogical innovation.

Source: STU OA