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Learning Resources for Teachers and Students

The university strongly encourages both teachers and students to stay abreast of the latest advancements in AI technology. The Teaching and Learning Development Office gathered a range of external resources, including research reports, news articles, and guideline videos on AI in education. Teachers and students can check out these resources to update themselves on the latest trends and techniques of AI.

Resources

Generative AI platforms like Poe and ChatGPT provide detailed documentation and guidelines to their users. These comprehensive materials offer step-by-step instructions, practical examples, and explanations of key concepts, empowering users to understand the intricacies of generative AI technology. The documentation also provides troubleshooting tips and best practices.

No	Website	Description
1.	OpenAI Teaching with AI examples	Exploration of how teachers can use ChatGPT in the classroom, providing examples, prompts, and resources for teaching with AI.
2.	Create a Prompt Bot using Poe	A step-by-step guide on creating a prompt bot, including customization options and defining bot behaviour using Poe.
3.	Stable Diffusion API Docs	Documentation for the Stable Diffusion API, including features, authentication, endpoints, error responses, and usage instructions.
4.	Scholarcy	Breaks down academic papers into summaries and highlights key findings, aiding in faster literature screening.
5.	Gradescope	Automate grading, support rubric-based assessment.
6.	Claude (Anthropic)	Known for ethical AI responses, Claude assists with summarizing texts, editing large documents, and generating creative content.
7.	Jasper	Tailored for educational content creation, Jasper generates lecture scripts, blog posts, or marketing copy for university outreach.
8.	Perplexity AI	A conversational search tool that provides concise, sourced answers, helpful for quick research or verifying facts.
9.	Meta AI	Meta AI is an intelligent assistant developed by Meta, designed to help users create content, answer questions, and interact naturally across its platforms. It combines advanced language capabilities with seamless integration into social and messaging apps for a more connected experience.
10.	Microsoft Copilot	Copilot is Microsoft’s AI assistant that enhances productivity by helping users draft content, analyze data, and streamline workflows. Seamlessly integrated into familiar tools, it makes everyday tasks faster and smarter.
11.	Google Gemini	A powerful multimodal AI assistant by Google that integrates seamlessly with Workspace tools. Excellent for data analysis, complex reasoning, content generation, and structured brainstorming for both faculty and students.
12.	DeepSeek	DeepSeek is a high-performance AI model designed for advanced reasoning, coding, and language tasks. It enables developers and businesses to tackle complex problems with efficiency and precision.
13.	DeepL	A high-precision neural translation tool and writing assistant that refines syntax, vocabulary, and phrasing to ensure professional and natural English.
14.	Gamma	An AI presentation and document builder that instantly formats and structures raw outlines or ideas into visually compelling, modern slide decks and webpages.
15.	Otter	An automated transcription and note-taking tool that converts lectures, academic meetings, and qualitative interviews into accurate text and summaries.
16.	Consensus	An AI-powered academic search engine that extracts evidence-based answers directly from peer-reviewed scientific papers, providing reliable citations and minimizing AI hallucinations.
17.	SciSpace	An all-in-one platform for literature review and reading. It features an AI copilot to explain complex equations, charts, and technical terms within research PDFs.
18.	Elicit	This is an AI-powered research assistant that helps users discover, summarize, and analyze academic papers and evidence quickly. It streamlines literature reviews by automating tasks like finding relevant studies, extracting key insights, and organizing information for more efficient research workflows.

You can also start your journey of learning Artificial Intelligence through renowned online platforms like Coursera, edX and LinkedIn Learning. These platforms offer a wide range of courses and programs that delve into the fascinating world of AI, providing learners with the opportunity to acquire in-depth knowledge and skills in this rapidly evolving field.

Assessment Tools

In order to help teachers evaluate the susceptibility of their assignments to potential misuse of generative AI, Turnitin has developed some assessment tools that can assist teachers in assessing the vulnerability of their assignments to the misuse of generative AI.

No	Website	Description
1.	AI misuse rubric	Guidance for teachers to assess writing assignments in the context of AI, focusing on student voice, critical thinking, sources and citations, personalization, and ethical use of AI.
2.	AI misuse checklist	This checklist can help teachers review assignment prompts for potential vulnerabilities to generative AI tools.

Generative AI Detection Software

There are a number of AI detection software in the market. Nevertheless, please note that AI detection software might misidentify human-written, AI-generated, or AI-paraphrased text. Therefore, we do not support the use of AI surveillance and detection tools as the sole means of identifying GenAI usage. Further scrutiny and human judgment are required to determine whether any academic misconduct has occurred.

No	Website	Description
1.	AI Content Detector	AI Content Detector highlights the AI-generated content in different colours to make it easier to identify. Additionally, the tool provides detailed reports that include the percentage of AI-generated content in each sentence and a summary of the text’s overall AI-generated content.
2.	AI Or Not	Used for detecting AI-generated images from Stable Diffusion, MidJourney, DALL-E, GAN, and Generated faces.
3.	Content At Scale AI Detector	The AI Detector identifies ChatGPT, Gemini, Claude, and various other AI models.
4.	Copyleaks AI Content Detector	The tool is trained to learn the patterns of human writing. Therefore, when the known patterns of human writing are disrupted, our AI flags it as potential AI content.
5.	GPT Zero	Incorporates the latest research in detecting ChatGPT, GPT4, Google-Gemini, LLaMa, and new AI models, and investigating their sources.
6.	Iluminarty	It can check whether or not an image has been AI-generated, from which AI model it has been generated from, and which regions of the image have been generated.
7.	SciSpace	Detect ChatGPT, GPT-4, Jasper, and other AI writers’ presence in scholarly content.
8.	Scribbr	Perform an unlimited number of AI content checks for free.
9.	ZeroGPT	Highlight AI-generated content and support batch files upload.
10.	Originality.AI Plagiarism Checker and AI Detector	Provide three AI detection models, each varying in the allowed false positive rate, to suit different needs.
11.	Turnitin	Their model is trained on a sample of data spread over a period of time, that includes both AI-generated and authentic academic writing across geographies and subject areas. They also take into account statistically under-represented groups like second-language learners, and less common subject areas such as anthropology, geology, sociology, and others to minimize bias when training our model.
12.	Winston AI	A AI content detector purpose-built for education and publishing. It offers extremely high accuracy rates, supports OCR to extract text from scanned documents or handwritten assignments, and generates detailed, shareable PDF assessment reports.
13.	Sapling	Developed by former researchers at Stanford and Google, this detector excels at sentence-level analysis, highlighting specific sections of text that are highly likely to be AI-generated, rather than just giving an overall document score.
14.	Crossplag	A comprehensive academic integrity tool that combines traditional similarity checking with advanced AI detection capabilities, focusing heavily on data privacy and not storing submitted texts.
15.	GLTR	Giant Language model Test Room. A visual tool developed by the MIT-IBM Watson AI lab and Harvard NLP. It highlights text in different colours based on the statistical predictability of each word, providing a highly technical and transparent way to visualize if a text looks machine-generated.
16.	QuillBot AI Detector	QuillBot AI Detector evaluates text using linguistic patterns to estimate the likelihood of AI authorship, including paraphrased or mixed human-AI writing. It provides clear scoring, explanations, and integrates with QuillBot’s broader writing tools.
17.	Pangram	Pangram is an advanced, research-backed AI detection platform designed to accurately identify both AI-generated and AI-assisted text with very high reported accuracy. It offers detailed sentence-level analysis and enterprise features such as plagiarism detection and system integrations.

News and Reports

To gain insights into the recent academic applications and trends of Generative AI, you can also refer to the following news and research. By exploring these reports and studies, you can stay informed about the latest advancements and potential implications of Generative AI in academia.

No	Website	Description
1.	Top 13 Use Cases of Generative AI in Education	This article explores key use cases of generative AI in education, such as personalized lessons, course design, and content creation. It emphasizes AI's potential to tailor education to individual needs and improve engagement
2.	Generative AI in Higher Education: Balancing Innovation and Integrity	This paper discusses the dual-edged nature of generative AI in higher education, enhancing personalized learning while posing challenges to academic integrity. It emphasizes the need for robust ethical frameworks and pedagogical strategies to balance innovation with integrity
3.	Generative Artificial Intelligence (AI) in Higher Education: A Comprehensive Review of Challenges, Opportunities, and Implications	This comprehensive review focuses on Large Language Models like ChatGPT, discussing challenges such as academic integrity, bias, and privacy, alongside opportunities for transforming higher education. It emphasizes the need for updated policies and AI literacy programs
4.	Generative AI in Higher Education: The ChatGPT Effect	This book is one of the first to provide a comprehensive examination of the use and impact of ChatGPT and Generative AI (GenAI) in higher education.
5.	Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines	The study explores how top U.S. universities address the integration of Generative Artificial Intelligence (GenAI) in education, revealing an open but cautious approach focused on ethical use, data privacy, and pedagogical applications, while offering practical implications for educators and recommendations for policy-making to adapt to the evolving GenAI landscape.
6.	The Artificial Intelligence Disclosure (AID) Framework	The article introduces the Artificial Intelligence Disclosure (AID) Framework, a structured approach for transparently documenting the use of AI tools in academic research and education, addressing ethical and methodological gaps in current citation practices.
7.	The 2025 AI Index Report	The 2025 AI Index Report by Stanford HAI provides a comprehensive analysis of AI's advancements, societal impact, global adoption, and challenges, highlighting key trends in research, technical performance, responsible AI, economic growth, policy, education, and public opinion.
8.	人工智能正重塑全球高等教育格局	The news article highlights how artificial intelligence is rapidly reshaping global higher education by enabling personalized learning, optimizing teaching practices, fostering interdisciplinary innovation, and addressing challenges like educational equity and ethical concerns, with countries and organizations worldwide actively exploring policies, technologies, and collaborations to adapt to this transformative era.
9.	AI Competency Framework for Teachers	UNESCO's AI Competency Framework for Teachers defines the knowledge, skills, and values educators need to effectively and ethically integrate AI into teaching, outlining 15 competencies across five dimensions to guide professional development and education policies globally.
10.	Riding the tide of generative artificial intelligence in higher education policy: an Asian perspective	This journal article explores the challenges and opportunities of integrating generative AI (GenAI) in higher education across Asia, synthesizing findings from ten studies to propose actionable strategies for policy and administration in the region's diverse and rapidly evolving educational landscape.
11.	Embracing generative artificial intelligence tools in higher education: a survey study at the Hong Kong University of Science and Technology	This study investigates students' experiences with ChatGPT at The Hong Kong University of Science and Technology, revealing widespread usage, positive perceptions of its impact on learning and career development, and significant demographic variations, offering insights for curriculum reform and AI literacy enhancement in higher education.
12.	Guidance for generative AI in education and research	UNESCO’s first global guidance sets out a human‑centred framework and regulatory steps for the safe, ethical and age‑appropriate integration of generative AI into education and research systems worldwide.
13.	Utilizing Generative AI Responsibly and Ethically for Research Purposes in Higher Education: A Policy Analysis	Analysing 74 policies from governments, universities, publishers and style manuals, this study identifies common principles and gaps for transparent, accountable use of generative AI in academic research.
14.	Adapting University Policies for Generative AI: Opportunities, Challenges, and Policy Solutions in Higher Education	This paper argues that, given widespread student use of large language models, universities should move from simple bans to AI‑resilient assessment, skills training and multi‑layered enforcement mechanisms.
15.	Generative AI in Higher Education: Current Practices and Ways Forward – APRU White Paper	This Pacific Rim university white paper maps how institutions currently use generative AI and proposes the “CRAFT” framework to guide policy design, assessment redesign and AI literacy in higher education.
16.	University policies on generative AI in Asia: promising practices, gaps, and future directions	Reviewing policies from 30 leading Asian universities, this scoping study finds a strong emphasis on text‑generation and academic integrity but highlights gaps such as limited coverage of non‑academic staff and uneven evidence‑based practice.
17.	Gen AI and Research Integrity: Where to Now?	This commentary argues that generative AI challenges traditional notions of research integrity and calls for renewed governance that keeps human responsibility at the centre of human–AI collaborations.
18.	The Need for Prospective Integrity Standards for the Use of Generative AI in Research	The article proposes forward‑looking community standards for GenAI use in research, shifting integrity oversight from retrospective misconduct investigations to clear prospective requirements.
19.	From Chaos to Symbiosis: Exploring Adaptive Co‑evolution Strategies for Generative AI and Research Integrity Systems	Using complex adaptive systems theory, this study maps how researchers, administrators, participants and publishers can co‑evolve practices that integrate generative AI while strengthening research‑integrity systems.
20.	Generative Artificial Intelligence (GenAI) for Academic Writing in Higher Education: A Scoping Review of Applications, Challenges, and Implications	A 2026 scoping review providing an empirical evidence map of GenAI applications in higher education writing, framing it as an assistive scaffold for organization and language support while addressing critical limitations like citation fabrication and AI detector unreliability.
21.	Generative AI in Higher Education: A Bibliometric Review of Emerging Trends, Power Dynamics, and Global Research Landscapes	A 2026 large-scale bibliometric review analyzing 2,762 articles to map the global evolution of Generative AI research in higher education, highlighting four major thematic clusters and a shift toward a multipolar knowledge structure heavily driven by prominent Asian research hubs like Hong Kong.
22.	Transparency Mechanisms for Generative AI Use in Higher Education Assessment: A Systematic Scoping Review	A 2026 systematic scoping review that synthesizes transparency and disclosure mechanisms for generative AI use in university assessments, evaluating their practical impacts on compliance monitoring, academic rigor, workload, and stakeholder acceptability.
23.	OECD Digital Education Outlook 2026	The OECD warns that offloading cognitive tasks to AI risks causing "metacognitive laziness," but notes that pedagogically guided AI integration can significantly enhance critical thinking and collaboration.
24.	Google expands Gemini and NotebookLM for education as AI tools move deeper into classrooms	Google is rolling out extensive free AI literacy training for educators and partnering with universities to provide early access to advanced AI infrastructure and tools like NotebookLM.
25.	Student Generative Artificial Intelligence Survey 2026	A recent survey reveals that while 95% of undergraduates use generative AI, institutional support and official policies are significantly lagging behind real-world student behavior.

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