2025年10月30日，教师教学发展中心（CTL）成功举办了“纵横立方”教与学系列讲座第七讲，讲座主题为“人工智能时代的评估体系重构：AIAR 定制机器人介绍”（Redesigning Assessment for the AI Age: Introducing the AIAR Custom Bot）。本次讲座邀请了文化创意学院的Prof. Matthew James SANSOM 担任主讲人，吸引了众多师生踊跃参与。

Prof. Matthew James SANSOM是北师香港浸会大学的音乐系教授，拥有超过25年的学术领导经验。他曾任马来西亚双威大学副校长（教育），还曾在全球多所高校担任高级职务。自ChatGPT 推出以来，他积极探索人工智能对教育领域的影响，并受邀担任我校《创新教与学》预计于2026年出版的"人工智能与教育"特刊客座主编。

讲座由教师教学发展中心副主任Dr. Milen JISSOV致开幕词。Dr. JISSOV简要介绍了Prof. SANSOM的学术背景、专业成就以及在人工智能应用领域的研究工作，为本场讲座揭开了精彩的序幕。

在讲座中，Prof. SANSOM深入探讨了生成式人工智能给高等教育评估工作带来的核心挑战。他强调，在人工智能时代，传统的课外作业式评估面临严峻的有效性问题，并指出仅靠阻止人工智能辅助作弊无法解决核心症结。作为关键解决方案，他介绍了 “人工智能评估重构助手”（AI-ARA），同时还展示了一份配套的 “人工智能评估审查清单”， 为教育工作者提供了系统的流程和可操作的评估框架。通过对当前挑战的精准分析，Prof. SANSOM提出了一套涵盖诊断、重新设计和实施全流程的综合解决方案。这一方法为教育工作者在人工智能时代开发更具有效性与公平性的评估方法提供了宝贵的概念框架和实用策略。

Prof. SANSOM富有洞察力的分享，为正应对人工智能对教育评估影响的师生们提供了切实可行的工具与全新视角。期待通过“纵横立方”教与学系列讲座，为校园带来更多富有启发性的思想交流活动。

On October 30, 2025, the Centre for Teaching and Learning (CTL) successfully hosted the "Beyond Boundaries” T&L Lecture Series #7 titled “Redesigning Assessment for the AI Age: Introducing the AIAR Custom Bot”. The event featured Prof. Matthew James SANSOM as the speaker, attracting active participation from numerous faculty members and students.

Prof. Matthew James SANSOM is a Professor of Music at BNBU with over 25 years of academic leadership experience. Having previously served as Pro Vice-Chancellor (Education) at Sunway University in Malaysia, he has held senior positions at multiple universities worldwide. Since the launch of ChatGPT, he has actively explored AI's impact on education and is serving as guest editor for the “AI and Education” special edition of BNBU's Innovative Teaching and Learning Journal, scheduled for publication in 2026.

The lecture began with an opening address by Dr. Milen JISSOV, Associate Director of CTL. Dr. JISSOV provided a brief introduction to Prof. SANSOM's academic background, professional achievements, and research in AI applications, setting an engaging tone for the session.

During the lecture, Prof. SANSOM delved into the fundamental challenges that generative AI poses to assessment in higher education. He emphasized that traditional take-home assessments face serious validity concerns in the AI era, noting that simply preventing AI-assisted cheating fails to address the core issues. As a key solution, he introduced the AI Assessment Redesign Assistant (AI-ARA). He also presented a complementary "AI Assessment Review Checklist," providing educators with both a systematic process and actionable framework for evaluation. Through precise analysis of current challenges, Prof. SANSOM presented a comprehensive solution covering diagnosis, redesign, and implementation. This approach provides educators with valuable conceptual frameworks and practical strategies for developing more valid and equitable assessment methods in the age of AI.

Prof. SANSOM’s insightful sharing provided both a practical toolkit and fresh perspectives for teachers and students navigating AI’s impact on educational assessment. We look forward to bringing more inspiring intellectual exchanges to our campus through "Beyond Boundaries" Teaching and Learning Lecture Series.