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Bond University’s Financial Institution Risk Management Course Faces Assessment Concerns
A recent investigation has revealed that students enrolled in Bond University’s financial institution risk management course are struggling with assessment submissions, citing difficulties in adhering to instructions and utilizing generative artificial intelligence (Gen-AI) tools.
Course Overview
The course is designed to equip students with the skills and knowledge necessary for a successful career in financial risk management. It includes a range of assessments, including:
- Computer-aided examinations
- Written reports
- Group/teamwork-based tasks
Student Concerns
According to sources, many students have expressed frustration with the complexity of the assessment tasks, particularly those that require them to utilize Gen-AI tools.
- “The instructions are unclear, and it’s difficult to know how much to rely on the AI,” said one student. “We’re worried about being penalized for not using it enough or using it too much.”
- Students have cited difficulties in adhering to instructions and utilizing Gen-AI tools as reasons for their struggles with assessment submissions.
University Response
Despite these concerns, university officials maintain that the use of Gen-AI tools is an important aspect of the course, as it helps students develop skills in critical thinking and problem-solving.
- “Gen-AI tools are an essential part of contemporary life, and we want our students to be well-equipped to utilize them effectively,” said a university spokesperson. “However, we also understand that some students may struggle with the technology, which is why we’re providing additional support and resources to help them succeed.”
- To address these concerns, the university has announced plans to provide more detailed instructions on the use of Gen-AI tools in assessment submissions, as well as additional training sessions for students.
Additional Information
Here are some important dates and procedures to note:
Assessment Timetable
- Computer-aided examinations: Week 5 and Week 10
- Written reports: Week 7 and Week 12
- Group/teamwork-based tasks: Ongoing throughout the semester
Submission Procedures
- Students must check the iLearn@Bond subject site for detailed assessment information and submission procedures.
- Late submissions will be penalized at a rate of 10% per day late, with no assessments accepted seven days after the due date.
Academic Integrity
- Bond University’s Academic Integrity Policy outlines expectations regarding student behavior, rights, and responsibilities. Staff are required to report suspected misconduct, which can include plagiarism, cheating, collusion, fabrication, or falsification of data/content.
- Penalties for misconduct may include a warning, reduced grade, requirement to repeat the assessment, suspension, or expulsion from the university.
Accessibility and Inclusion Support
- Students with physical, mental, or neurological conditions that impact their capacity to complete studies, exams, or assessment tasks are encouraged to arrange special requirements in advance of or at the start of each semester. Reasonable adjustments will be made where possible.
Additional Subject Information
- The course will make use of the R programming language and RStudio front-end.
- A peer evaluation system will be used to determine individual marks for group assessments.
- Some examples of student work may be retained for potential research and quality auditing purposes.