The Hong Kong Career Development Forum 2026 marks the inaugural gathering of career development practitioners, researchers, and educators across Hong Kong. At a time when the world of work is shifting rapidly, the professionals who guide others through career transitions have never been more essential — or more in need of a community of their own.
This forum brings us together to share what we know, reflect on what we do, and imagine where our field is headed. Whether you come as a practitioner with years of frontline experience, a researcher building the evidence base, or an educator shaping the next generation — you belong here.
香港職涯發展論壇 2026 是香港職涯發展工作者、研究者與教育工作者的首次年度聚會。在職場急速變化的時代,引導他人走過職涯轉折的專業人士,從未如此不可或缺——也從未如此需要一個屬於自己的社群。
本論壇匯聚各方,分享實踐經驗,反思專業工作,共同探索行業未來。無論你是擁有豐富前線經驗的工作者、致力建構知識基礎的研究者,還是培育下一代的教育工作者——這裡都有你的位置。
Four areas of inquiry
四大探究方向
Whether you are registering to attend or submitting to the Call for Proposals, you are welcome to engage with these four themes, focused on education and career guidance in Hong Kong.
無論參加者報名或 CFP,都可以圍繞以下 4 個聚焦香港教育與職涯輔導的大主題。
青年跨階段職涯流動與協作
Focuses on secondary-school DSE subject selection and life planning, and on the gap between leaving tertiary education and entering the workplace — promoting regular, institutionalised links between education, NGOs and employers.
聚焦中學 DSE 選科/生涯規劃、大專離校適應到初入職場的斷層,推動「教育 × NGO × 企業」的常態化銜接機制。
前線從業者支援、督導與本土認證
Addresses the isolation that secondary-school teachers, NGO social workers and independent coaches feel when handling complex cases, and explores supervision mechanisms, training, and locally grounded CPD accreditation standards for Hong Kong.
直面中學教師、NGO 社工及獨立教練處理複雜個案時的孤立感,探討督導機制、培訓及香港本土化的 CPD 專業認證標準。
價值轉變及多元共融
Unpacks the new generation's rejection of the traditional “upward mobility” framework (slash careers, “lying flat”), and offers practical counselling tools for people from diverse backgrounds.
拆解新一代青年對傳統「向上流」框架的拒斥(Slash 族、躺平現象),並提供予多元人士的實用輔導工具。
AI 時代的輔導工具應用與倫理
A grounded look at how generative AI can make résumé and interview coaching more efficient in practice, where the boundaries of data privacy and integrity lie, and how emerging tools can be applied.
落地探討生成式 AI 在履歷與面試輔導中的實務提效、數據私隱與誠信界線,以及新型工具的應用。
