AI Report Release | BNBU Survey on AI in Teaching and Learning reveals that AI is Deeply Integrated but Poses Major Academic Risks

A recent survey from Centre for Teaching and Learning (CTL) and School of AI and Liberal Art (SAI) reveals that AI is now deeply embedded in BNBU, but its rapid adoption is creating significant challenges. The survey of 74 teachers and 226 students found a stark divide: teachers use AI as a teaching-enhancement tool, while students primarily see it as a tool to complete assignments. A critical risk has emerged in Year 3, where 88% of students use AI for assignments, double the rate of first-year students. This signals a troubling shift from learning support to learning substitution that directly fuels academic integrity concerns.

The report identifies some key challenges include a cognitive gap where students cannot critically evaluate AI output, a surge in grading disputes in key faculties, and the lack of clear boundaries for different components of learning has created institutional ambiguity and increased the risk of conflicts. In response, the University is urged to implement a major support system overhaul. This includes tiered training, a unified AI resource platform, an "AI Teaching Mentor" program, and discipline-specific workshops designed to build critical thinking and reduce over-reliance.

Please find the report through iSpace and find "CTL Teaching and Learning Resources - CTL Resources & Materials - BNBU Survey on AI in Teaching and Learning (20260112)".

We need You: 2026 Student Internship Recruitment CTL学生助理招募

With the rapid development of CTL, we are currently seeking two Year 2 and above BNBU students to support CTL’s daily operations.
You are welcome to join a highly motivated team to assist in coordinating, organizing, and promoting various activities.

Here, you will have many opportunities to meet distinguished scholars from inside and outside the campus, get your ideas applied (editing, organizing, and designing), have the privilege to join the CTL’s events, learn state-of-the-art teaching practices, and more!

Application materials should be submitted in either Word or PDF format. Please submit your application to ctl@bnbu.edu.cn with the subject line "[Your Name]_CTL Student Assistant Application". Please submit your application by 19 January 2026 (Mon). The selected candidate is expected to begin the role on 24 February 2026 (Tue).

Contact Person
Ms. Yao Wang (yaowang@bnbu.edu.cn/3677163)
Ms. Meredith Weiyi Xie (meredithwyxie@bnbu.edu.cn/3677704)

HKBU Activities & Resources

DEAR Workshop Series: Students Reimagining Digital Ethics and Responsibilities

Date & Time: 11:00 am - 12:30 pm, 14 Jan 2026 (Wed)

Venue: Online via Zoom

Speakers:

1. Ms. Esme ANDERSON (Assistant Education Development Manager, Center for Education Innovation, The Hong Kong University of Science and Technology)

2. Mr. Verrent Timotius SUNG (UG Student, Department of Finance, The Hong Kong University of Science and Technology)

3. Miss. Xinjie Monica HUANG (Research Assistant, Department of Management,
   The Hong Kong University of Science and Technology)

4. Miss. Mingyu LI (PhD Student, Department of Management, The Hong Kong University of Science and Technology)

5. Mr. Lorenzo Maria RATTO VAQUER (PhD student, Academy of Chinese, History, Religion and Philosophy, Hong Kong Baptist University)

Abstract:

At the end of workshop series, participants will be able to:

1. Describe the HKBU Graduate Attributes and their importance in the OBTL implementation;

2. Develop constructively aligned Intended Learning Outcomes (ILOs), Teaching and Learning Activities (TLAs) and Assessment Methods (AMs) for their respective courses;

3. Experiment with new and innovative teaching activities through the deployment of eLearning.

Training | The 6^th National Innovation Teaching Contest: Preparation Experiences and Case Studies

为不断激发高校课堂教学创新活力，提高产教协同育人成效，全国高校教师网络培训中心将于2026年1月14-16日线上举办全国高校教师教学创新大赛备赛经验及案例分享培训。

Registration Website: http://www.enetedu.com

Date: 14-16 Jan, 2026

Note: This training will be held online. The training fee is 900 RMB per person. A certificate of completion will be awarded to teachers who successfully complete all training modules and pass the evaluation.