{"id":1244,"date":"2026-07-21T12:33:57","date_gmt":"2026-07-21T07:03:57","guid":{"rendered":"https:\/\/acadex.biz\/?p=1244"},"modified":"2026-07-21T12:37:27","modified_gmt":"2026-07-21T07:07:27","slug":"how-to-use-artificial-intelligence-for-university-work-without-losing-marks","status":"publish","type":"post","link":"https:\/\/acadex.biz\/acadex-knowledge-hub\/how-to-use-artificial-intelligence-for-university-work-without-losing-marks\/","title":{"rendered":"How to Use Artificial Intelligence for University Work Without Losing Marks"},"content":{"rendered":"<div class=\"et_pb_section_0 et_pb_section et_section_regular et_block_section preset--module--divi-section--default\"><div class=\"et_pb_row_0 et_pb_row et_block_row preset--module--divi-row--default\"><div class=\"et_pb_column_0 et_pb_column et_pb_column_4_4 et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_0 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><\/div><\/div><\/div><div class=\"et_pb_row_1 et_pb_row et_block_row preset--module--divi-row--default\"><div class=\"et_pb_column_1 et_pb_column et_pb_column_4_4 et-last-child et_flex_column et_pb_css_mix_blend_mode_passthrough\"><div class=\"et_pb_text_1 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>Introduction<\/h2>\n<p>Imagine spending an entire weekend preparing a university assignment. You analyse the question, ask an AI tool to explain difficult concepts, improve your writing and help organise your references. The finished work looks polished, professional and well researched. You submit it confidently.<\/p>\n<p>A week later, your tutor returns it with an unexpected comment: several references cannot be found.<\/p>\n<p>You check. One journal article does not exist. Another has the wrong publication details. A quotation was never written by the researcher to whom it is attributed. A statistic supporting one of your central arguments cannot be traced to a reliable source.<\/p>\n<p>You did not knowingly invent any of them. The AI did.<\/p>\n<p>This is one of the central risks of using artificial intelligence for university work. AI can explain, summarise and write with remarkable fluency. It can also produce inaccurate information with exactly the same confidence and polish.<\/p>\n<\/div><\/div><div class=\"et_pb_code_0 et_pb_code et_pb_module et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_code_inner\"><iframe loading=\"lazy\" width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/mHbdpIKB3YI?si=aryHxLGMTWWfL13a\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/div><\/div><\/div><\/div><div class=\"et_pb_row_2 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_2 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_2 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p>The essential rule is simple: use AI for speed; use your own mind for judgement.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_3 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_3 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_3 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p>Artificial intelligence can be an exceptional academic assistant. It should not become your final authority. The students who benefit most will be neither those who reject AI completely nor those who accept everything it produces. They will be the students who combine its speed with careful research, independent judgement and critical thinking.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_4 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_4 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_4 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>Why AI Has Become So Valuable to Students<\/h2>\n<p>University work can be demanding. Students must interpret unfamiliar questions, understand complex theories, locate reliable evidence, construct an argument, meet detailed assessment criteria and communicate clearly. International students may also be adapting to a new academic culture while managing work, financial pressures and limited time.<\/p>\n<p>AI can reduce some of that friction. It can:<\/p>\n<ul>\n<li>explain a difficult idea in simpler language;<\/li>\n<li>compare two theories or perspectives;<\/li>\n<li>suggest questions for further research;<\/li>\n<li>organise notes into a logical structure;<\/li>\n<li>identify weaknesses or gaps in an argument;<\/li>\n<li>improve grammar, clarity and academic tone; and<\/li>\n<li>\u00a0summarise source material that you provide.<\/li>\n<\/ul>\n<p>Used well, these capabilities can help students learn faster and communicate more clearly. Used carelessly, they can create an illusion of understanding and introduce errors that are difficult to detect.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_5 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_5 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_5 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>The Central Problem: Fluency Is Not Evidence<\/h2>\n<p>AI systems are persuasive because they generate coherent, well-structured language. They rarely sound hesitant. A correct explanation and an inaccurate one may be presented with the same confident tone, level of detail and professional formatting.<\/p>\n<p>This creates a confidence illusion: if two answers sound equally authoritative, users naturally assume that they are equally reliable. They are not.<\/p>\n<p>One paragraph may accurately summarise decades of research. The next may omit an important qualification, confuse two studies, invent a quotation or produce a reference that looks authentic but does not exist. The style remains consistent even when the reliability changes.<\/p>\n<p>That is why academic judgement must focus on the evidence behind an answer, not on how convincing the answer sounds.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_6 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_6 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_6 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>Why AI Sometimes Produces Incorrect Information<\/h2>\n<p>A generative AI system is designed to produce a useful response based on patterns in language and information. Its strength is generating explanations that sound natural, relevant and logically connected. Its weakness is that a plausible sentence is not necessarily a verified fact.<\/p>\n<p>Some AI tools can search the web, retrieve documents or provide citations. These features can improve accuracy, but they do not remove the need for verification. A tool may still misunderstand a source, cite an irrelevant passage, rely on outdated information or present an inference as a fact.<\/p>\n<p>The practical lesson is not that AI is useless or deceptive. It is that AI-generated information must be judged according to the type of task and the consequences of being wrong.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_7 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_7 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_7 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>The Acadex AI Reliability Pyramid<\/h2>\n<p>Not every AI task deserves the same level of trust. The following three-level model helps students decide how much checking is required.<\/p>\n<h4>Level 1: Generally Reliable for Communication and Organisation<\/h4>\n<p>AI is usually most dependable when it is transforming or organising material rather than supplying precise factual evidence. Useful tasks include:<\/p>\n<ul>\n<li>correcting grammar and punctuation;<\/li>\n<li>rewriting an awkward sentence while preserving its meaning;<\/li>\n<li>improving clarity and academic tone;<\/li>\n<li>brainstorming possible angles or questions;<\/li>\n<li>explaining a well-established concept at different levels of difficulty;<\/li>\n<li>summarising a document that you have supplied; and<\/li>\n<li>organising notes, themes or arguments into a clearer structure.<\/li>\n<\/ul>\n<p>These outputs still require human review. AI can alter meaning, flatten nuance or make writing sound generic. However, the factual risk is usually lower when the original material and intended meaning are already available.<\/p>\n<h4>Level 2: Useful, but Requires Critical Review<\/h4>\n<p>AI can provide a strong starting point for analytical or interpretive tasks, but its answer should be treated as a draft rather than finished scholarship. Examples include:<\/p>\n<p>\u2022 comparing academic theories;<br \/>\u2022 suggesting themes for a literature review;<br \/>\u2022 providing historical or business analysis;<br \/>\u2022 interpreting statistical output;<br \/>\u2022 reviewing code or suggesting programming approaches;<br \/>\u2022 explaining legal or policy concepts; and<br \/>\u2022 identifying possible objections to an argument.<\/p>\n<p>The answer may be broadly correct but incomplete. It may oversimplify a debate, overlook an exception, treat a contested view as settled or give disproportionate attention to one perspective. Important claims should therefore be checked against textbooks, peer-reviewed research and trusted institutional sources.<\/p>\n<h4>Level 3: Never Accept Without Independent Verification<\/h4>\n<p>AI is most risky when you ask for exact, specialist or current information. Always verify:<\/p>\n<ul>\n<li>references and bibliographies;<\/li>\n<li>DOI numbers and publication details;<\/li>\n<li>direct quotations and page numbers;<\/li>\n<li>recent statistics or market data;<\/li>\n<li>legal cases, regulations and institutional rules;<\/li>\n<li>specialist scientific findings;<\/li>\n<li>facts about niche topics; and<\/li>\n<li>any claim on which a central part of your argument depends.<\/li>\n<\/ul>\n<p>A perfectly formatted citation is not proof that a source exists. Locate the original publication, confirm the author, title, journal or publisher, date, page number and DOI where applicable, and read enough of the source to ensure that it genuinely supports your claim.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_8 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_8 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_8 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p>The verification question: Can I independently confirm this from a reliable source?<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_9 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_9 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_9 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p>If the answer is yes, verify it. If the answer is no, do not build your argument around it.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_10 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_10 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_10 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>The Acadex Distinction Workflow<\/h2>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">High-performing students do not ask AI to replace their thinking. They use it to make their thinking more focused, informed and efficient. The following workflow keeps AI in a supporting role throughout the assignment process.<\/p>\n<h4 class=\"western\">1. Understand the Assignment Before Opening AI<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">Read the assessment brief, learning outcomes and marking criteria carefully. Identify the exact question, required models or concepts, word limit, referencing style and expected type of analysis. Also check your university or module policy on acceptable AI use, disclosure and authorship. AI cannot rescue an assignment that answers the wrong question or breaches the rules.<\/p>\n<h4 class=\"western\">2. Use AI to Learn Before You Use It to Write<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">Begin with prompts that deepen understanding: \u201cExplain this concept in simple language\u201d, \u201cWhy do researchers disagree about this issue?\u201d, \u201cWhat are the main criticisms of this theory?\u201d or \u201cCompare these two perspectives\u201d. The objective is to understand the subject, not to collect polished paragraphs.<\/p>\n<h4 class=\"western\">3. Build a Reliable Evidence Base<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">Use your library databases, module reading list, textbooks, peer-reviewed journals, government publications and reputable institutional sources. Decide which evidence is credible and relevant before asking AI to help organise it. Continue reading the original sources; do not rely only on AI summaries.<\/p>\n<h4 class=\"western\">4. Make AI Work With Your Sources<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">Where permitted, provide the assignment brief, lecture material or selected sources and give a precise instruction. For example: \u201cUsing only the attached articles, compare the authors\u2019 views of strategic human resource management. Identify areas of agreement and disagreement. Do not introduce claims that are not supported by these documents.\u201d This reduces the temptation to rely on the model\u2019s general memory.<\/p>\n<h4 class=\"western\">5. Challenge the First Answer<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">Do not assume that the first response is the best response. Ask: \u201cWhat evidence supports this?\u201d, \u201cWhich scholars disagree?\u201d, \u201cWhat assumptions are being made?\u201d, \u201cWhat important limitations have you omitted?\u201d and \u201cWhich parts of this answer are facts and which are interpretations?\u201d Good research develops through questioning, not passive acceptance.<\/p>\n<h4 class=\"western\">6. Verify Every Critical Detail<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">Check references, quotations, statistics, dates, definitions and any claim central to your argument. Follow citations back to the original source rather than citing the AI response or an unverified summary. If a source cannot be located, remove it.<\/p>\n<h4 class=\"western\">7. Develop Your Own Argument<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">Step away from the generated text. Decide what you think the evidence shows. Build your own line of reasoning, organise paragraphs around claims and evidence, acknowledge counterarguments and explain why your conclusion follows. University work is assessed for analysis and judgement, not merely for fluent sentences.<\/p>\n<h4 class=\"western\">8. Use AI for Editing, Not Ownership<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">Once you have a complete draft, AI can help identify unclear passages, repetition, weak transitions or grammatical problems. Review every change and preserve your own meaning and voice. Follow your institution\u2019s rules on acknowledging or declaring AI assistance, and complete a final check against the brief before submission.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_11 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_11 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_11 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>Better Prompts for Responsible University Work<\/h2>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">The quality of an AI response depends partly on the quality of the instruction. The following prompts keep the emphasis on learning, evidence and critical thinking rather than substitution.<\/p>\n<ul>\n<li>\n<p style=\"margin-bottom: 0.25cm;\">\u201c<i>Explain [concept] at undergraduate level, then identify three common misunderstandings.\u201d<\/i><\/p>\n<\/li>\n<li>\n<p style=\"margin-bottom: 0.25cm;\">\u201c<i>Compare [theory A] and [theory B]. Separate established differences from areas of scholarly debate.\u201d<\/i><\/p>\n<\/li>\n<li>\n<p style=\"margin-bottom: 0.25cm;\">\u201c<i>Using only the attached sources, identify the strongest evidence for and against this claim.\u201d<\/i><\/p>\n<\/li>\n<li>\n<p style=\"margin-bottom: 0.25cm;\">\u201c<i>Review this outline against the assessment question and marking criteria. Show what is missing, but do not write the assignment.\u201d<\/i><\/p>\n<\/li>\n<li>\n<p style=\"margin-bottom: 0.25cm;\">\u201c<i>Identify unsupported claims in this paragraph and tell me what type of source I need to verify each one.\u201d<\/i><\/p>\n<\/li>\n<li>\n<p style=\"margin-bottom: 0.25cm;\">\u201c<i>Suggest three counterarguments to my position and explain what evidence would be needed to answer them.\u201d<\/i><\/p>\n<\/li>\n<li>\n<p style=\"margin-bottom: 0.25cm;\">\u201c<i>Improve clarity and grammar without changing my argument, adding new evidence or inventing citations.\u201d<\/i><\/p>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_12 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_12 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_12 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>Common Mistakes That Can Cost Marks<\/h2>\n<p>&nbsp;<\/p>\n<h4 class=\"western\">Submitting references without opening them<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">A citation may look plausible and still be fabricated, inaccurate or irrelevant. Verify every source and confirm that it supports the exact claim you make.<\/p>\n<h4 class=\"western\">Asking AI to write before understanding the topic<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">This often produces generic material that sounds competent but lacks depth, relevance and a clear argument.<\/p>\n<h4 class=\"western\">Treating an AI summary as a substitute for reading<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">Summaries can omit qualifications, methods, limitations and context. Read the original source before using it as evidence.<\/p>\n<h4 class=\"western\">Allowing polished language to hide weak reasoning<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">Clear prose cannot compensate for unsupported claims, poor evidence or failure to answer the question.<\/p>\n<h4 class=\"western\">Ignoring university rules<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">Permitted AI use varies between institutions, courses and assessments. Check the current policy and disclose assistance where required.<\/p>\n<h4 class=\"western\">Losing your own voice<\/h4>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">Excessive rewriting can make an assignment sound generic and may alter your meaning. Use AI edits selectively and take responsibility for the final text.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_13 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_13 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_13 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>The Acadex Ten Golden Rules<\/h2>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li>Treat AI as a research assistant, not as the author of your work.<\/li>\n<li>Understand the assignment and your university\u2019s AI policy before using any tool.<\/li>\n<li>Use AI to learn first and to improve writing later.<\/li>\n<li>Build your argument from reliable academic evidence.<\/li>\n<li>Provide trustworthy source material whenever possible.<\/li>\n<li>Challenge important answers and ask what may be missing.<\/li>\n<li>Verify every reference, quotation, statistic and critical fact.<\/li>\n<li>Read the original literature rather than relying only on summaries.<\/li>\n<li>Write in your own voice and take responsibility for every sentence.<\/li>\n<li>Use AI for speed; use your own mind for judgement.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_14 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_14 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_14 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>The Future Belongs to Students Who Can Judge Information<\/h2>\n<p>Artificial intelligence is changing how students gain access to explanations, ideas and writing support. It does not reduce the value of academic judgement. It makes that judgement more important.<\/p>\n<p>Two students can use the same tool and produce very different work. One accepts the first answer. The other asks where the evidence comes from, which assumptions are being made, what has been omitted and whether the claim can be independently verified. The difference is not access to technology. It is the quality of thought applied to it.<\/p>\n<p>AI can explain, summarise, compare, organise and inspire. It cannot take responsibility for your sources, your interpretation or your academic integrity. Those remain yours.<\/p>\n<p>The goal is not merely to use artificial intelligence. It is to become a stronger researcher, a clearer writer and a more confident independent thinker while using it.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_15 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_15 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_15 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><p>Use AI for speed. Use your own mind for judgement.<\/p>\n<\/div><\/div><\/div><\/div><div class=\"et_pb_row_16 et_pb_row et_flex_row preset--module--divi-row--default\"><div class=\"et_pb_column_16 et_pb_column et-last-child et_block_column et_pb_css_mix_blend_mode_passthrough et_flex_column_24_24 et_flex_column_24_24_tablet et_flex_column_24_24_phone\"><div class=\"et_pb_text_16 et_pb_text et_pb_bg_layout_light et_pb_module et_block_module\"><div class=\"et_pb_text_inner\"><h2>Continue the Conversation<\/h2>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">Acadex is developing practical resources to help university students use artificial intelligence responsibly and effectively. To request the complimentary Acadex AI Student Success Pack, send us a WhatsApp message or email with the words \u201cAI SUCCESS\u201d.<\/p>\n<p class=\"western\" style=\"margin-bottom: 0.25cm;\">The pack includes the Acadex AI Reliability Pyramid, the Acadex Distinction Workflow, an AI submission checklist and practical prompts for university study.<\/p>\n<p style=\"margin-bottom: 0.18cm; line-height: 115%;\"><span style=\"color: #5a5a5a;\"><span style=\"font-size: small;\">Important: University rules on artificial intelligence vary. Always follow the policy that applies to your institution, programme, module and assessment.<\/span><\/span><\/p>\n<p>&nbsp;<\/p>\n<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence can be a brilliant academic assistant\u2014and a dangerously convincing source of errors. Learn which AI tasks are dependable, what must always be verified and how to use AI to strengthen rather than replace your university work.<\/p>\n","protected":false},"author":1,"featured_media":1248,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[23],"class_list":["post-1244","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-education","tag-artificial-intelligence-academic-writing-research-skills-referencing-academic-integrity-university-study"],"_links":{"self":[{"href":"https:\/\/acadex.biz\/acadex-knowledge-hub\/wp-json\/wp\/v2\/posts\/1244","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/acadex.biz\/acadex-knowledge-hub\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/acadex.biz\/acadex-knowledge-hub\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/acadex.biz\/acadex-knowledge-hub\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/acadex.biz\/acadex-knowledge-hub\/wp-json\/wp\/v2\/comments?post=1244"}],"version-history":[{"count":8,"href":"https:\/\/acadex.biz\/acadex-knowledge-hub\/wp-json\/wp\/v2\/posts\/1244\/revisions"}],"predecessor-version":[{"id":1254,"href":"https:\/\/acadex.biz\/acadex-knowledge-hub\/wp-json\/wp\/v2\/posts\/1244\/revisions\/1254"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/acadex.biz\/acadex-knowledge-hub\/wp-json\/wp\/v2\/media\/1248"}],"wp:attachment":[{"href":"https:\/\/acadex.biz\/acadex-knowledge-hub\/wp-json\/wp\/v2\/media?parent=1244"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/acadex.biz\/acadex-knowledge-hub\/wp-json\/wp\/v2\/categories?post=1244"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/acadex.biz\/acadex-knowledge-hub\/wp-json\/wp\/v2\/tags?post=1244"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}