Hong Kong Baptist University

It is students’ responsibility to: • understand what academic integrity is and take diligent care to avoid dishonest behaviors and/or actions; • ensure that the material(s) submitted for assessment is/are their own work and present their findings or data in an honest manner; • properly cite or reference the sources of their work; and • seek advice, clarifications, or assistance from their instructors when in doubt.

Zebrano: 2026-10-09 · 90–96
SHA-256: 8ef80821b61a88a249728bbb152b134f9d02d8bb1d097e04adc7f682a76a50b0

Warunki i wyjątki

Coursework and thesis-stage procedures differ; full disciplinary/appeal procedure not acquired.

The gist of these penalties is as follows: Sub-degree/Undergraduate/Taught Postgraduate Studies by Coursework and Coursework in Research Postgraduate Studies 1. If academic dishonesty is found in course-based assessment, an “F” grade may be assigned to the course. 2. For more serious or repeated cases, more stringent disciplinary action may be taken by the Student Disciplinary Panel (SDP) in addition to assigning an "F” grade for the course, upon the referral of the case to the SDP. Research Postgraduate Studies and Thesis Stage for Professional Doctoral Studies If academic dishonesty is found in the process of qualifying examination, candidature examination, or in the submission of a research prospectus/thesis/dissertation, the Exam Panel or Board of Examiners will levy a sanction as they deem appropriate, such as to fail the exam or terminate the candidacy of the student concerned. The Panel may allow re-submission of work. More serious or repeated cases should be referred to the SDP.

Zebrano: 2026-10-09 · 329–343
SHA-256: 8ef80821b61a88a249728bbb152b134f9d02d8bb1d097e04adc7f682a76a50b0

Warunki i wyjątki

Student-only and staff-only guidance not acquired; explicit permission/disclosure gap.

Principles for the Use of Generative AI Tools in Teaching and Learning, and Assessment @ HKBU Approved by the Senate in June 2023, effective from AY2023/2024 Play Play AI-Empowering : to embrace generative AI and empower students and instructors to realise the potential of generative AI tools as part of the university’s knowledge creation and teaching and learning ecosystem AI-Critical : to encourage healthy, informed scepticism of generative AI and develop students’ and instructors’ critical thinking and awareness of the strengths, drawbacks and limitations of generative AI tools AI-Ethical : to maintain academic integrity, transparency and the ethical use of generative AI tools Build and sustain human uniqueness : to recognise the importance of students and instructors as unique individuals with lived experiences, knowledge, skills and attributes. Provide space and time for individuals to understand and develop themselves as unique individuals within the university teaching and learning ecosystem You can either download the principles directly through the button below or by logging into BUniport to access. (U-Wide Policies & Info → Policies & Guidelines → Quality Assurance, Teaching & Learning) Download (Staff and Student) Advisory Guidelines Pertaining to the Use of Generative AI Tools in Assessed Assignment Tasks @ HKBU (Staff Only) Approved by the Senate in June 2023, effective from AY2023/2024 You can either download the guidelines directly through the the button below or by logging into BUniport to access. (U-Wide Policies & Info → Policies & Guidelines → Quality Assurance, Teaching & Learning) Download (Staff Only) Advisory Guidelines Pertaining to the Use of Generative AI Tools in Assessed Assignment Tasks @ HKBU (Student Only) Prepared by the eLearning Committee in May 2025 Download (Student Only)

Zebrano: 2026-10-09 · 105–123
SHA-256: b3bdc34c5ec04a4b8c8f9db76a3edacbac5808c013a58b227a69e417178cb712

Warunki i wyjątki

Platform access and terms not acquired; no universal free GenAI inference.

HKBU GenAI Platform The HKBU GenAI Platform (“GenAI Platform”) is based on the generative artificial intelligence (“AI”) language model developed by third-party AI service providers including Anthropic , Google, Meta AI and OpenAI. Other Resources AI Tools & Resources for Higher Education by Northwest Nazarene University Guidance for generative AI in education and research by UNESCO Generative AI related training courses in LinkedIn Learning HKBU staff and students can access LinkedIn Learning for free

Zebrano: 2026-10-09 · 124–130
SHA-256: b3bdc34c5ec04a4b8c8f9db76a3edacbac5808c013a58b227a69e417178cb712