To navigate the evolving academic landscape effectively, students can strategically leverage AI tools to support their academic writing and learning, provided they maintain critical human oversight and adhere to university guidelines. AI should be viewed as a powerful assistant, not a replacement for intellectual effort.
AI can serve as a valuable tool for scaffolding learning and overcoming common academic hurdles, provided its use is aimed at enhancing, rather than circumventing, genuine intellectual engagement.
Brainstorming Ideas & Overcoming Writer's Block: When faced with a blank page or struggling to initiate an assignment, AI can generate initial ideas, provide bullet points, or offer alternative viewpoints to help clarify thinking and kickstart the writing process. This can be particularly effective for breaking through the initial inertia of academic writing.
Clarifying Concepts & Definitions: Students can use AI to obtain quick definitions of concepts or simpler explanations of complex ideas, aiding in the comprehension of challenging subject matter. This can be especially useful when encountering new or intricate terminology in readings.
Generating Thought-Provoking Questions: AI can be prompted to create questions based on article content, which students can then answer to deepen their understanding or inspire their own research questions for further exploration.
Creating Study Aids: AI can assist in transforming raw notes into structured study materials, such as flashcards or organised tables, thereby aiding in revision and memorisation for exams and assessments.
AI tools can significantly assist in refining the mechanical aspects of writing, but it is imperative that the student retains full control, critically evaluates suggestions, and personally implements all final changes.
Proofreading, Grammar, and Structure Suggestions: Generative AI or other AI-assistive tools (e.g., Grammarly) can provide suggestions for corrections or improvements to spelling, grammar, and sentence structure. However, it is crucial that students make all such changes themselves and avoid simply copying and pasting edited text directly from the AI model into their submitted work.
Organising and Summarising Information: AI can help in structuring arguments, outlining essays, or summarising long texts. Nevertheless, this should not replace the student's own critical analysis and note-making processes, as AI summaries may not accurately reflect personal interests or the authors' full intent.
Rephrasing for Clarity and Simplicity: Students can use AI to rephrase sentences in simpler language or in different styles to enhance clarity and to understand how to articulate complex ideas more effectively.
Feedback on Writing Style: AI can offer general feedback on aspects such as clarity, academic language, and grammar within a paragraph, much like seeking feedback from a tutor or a learning advisor. Students must then critically decide whether and how to implement this feedback.
AI can streamline certain aspects of the research process, but constant vigilance and rigorous fact-checking are paramount to ensure accuracy and academic integrity.
Identifying Relevant Literature: AI-assisted search tools can help identify relevant academic literature or assess whether specific sources are valuable for research. However, universities strongly emphasise prioritising traditional research methods, such as utilising university library databases, to mitigate the risk of misinformation and "hallucinations" often associated with AI-generated content.
Understanding Concepts in Sources: AI can assist in comprehending complex concepts or ideas encountered during the research process, offering supplementary explanations or breaking down intricate theories.
Translating Texts: Automated translation software can be used to translate texts between languages, which can be beneficial for accessing foreign-language sources. However, the accuracy of any translation must be thoroughly verified before incorporating translated materials into academic work.
Data Analysis and Presentation: AI tools can assist in analysing and summarising data, such as producing graphs, charts, or tables from raw data to be included in submitted work. However, students must be aware that some assessments may require manual data analysis or the use of specific traditional software, in which case AI use would be prohibited.
Programming and Coding Support: For students in relevant disciplines, AI tools can suggest code completions, assist with debugging, explain complex coding concepts, and provide step-by-step guidance, thereby streamlining the programming workflow.
The detailed examples of "acceptable use" consistently position AI as a tool for support and enhancement rather than direct content generation. Tasks like brainstorming, proofreading, clarifying concepts, and generating study aids are all processes that scaffold the student's learning, enabling them to focus on higher-order thinking. This indicates a strategic approach by universities to integrate AI as a legitimate academic aid, provided it does not bypass the fundamental development of critical thinking, research, and writing skills. The emphasis is on how students use AI to improve their own capabilities, rather than outsourcing them.