AI Discovery Zone @ EdUHK Library's Research Support - Guides at The Education University of Hong Kong

Master AI for Research This Summer & Get Your AI for Research Certificate

This bootcamp is organised by Scite. Throughout the bootcamp, you'll receive emails from scite including:

Session reminders with Zoom links
Pre-session preparation materials
Practical exercises and resources
Tips for maximizing your AI research skills
Certificate completion updates

Get Your AI for Research Certificate

Remember: Attend any 3 out of 4 sessions (with one industry session mandatory) to earn your AI for Research Certificate.

Registration

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Scite summer Bootcamp

Master AI for Research This Summer & Get Your AI for Research Certificate This bootcamp is organised by Scite. Throughout the bootcamp, you'll receive emails from scite including:Session reminders with Zoom linksPre-session preparation materialsPractical exercises and resourcesTips for maximizing your AI research skillsCertificate completion updatesGet Your AI for Research CertificateRemember: Attend any 3 out of 4 sessions (with one industry session mandatory) to earn your AI for Research Certificate. Registration ...

CNKI launches AI Academic Assistant

CNKI has recently launched AI Academic Research Assistant, an advanced tool that leverages artificial intelligence technology to assist in scientific research. This new version is based on CNKI's vast academic resources and the intelligent technology of the HuaZhi large model, closely integrating AI large model technology, high-quality data, and research scenarios, aiming to enhance efficiency in key areas such as literature retrieval, reading, and academic writing. CNKI has provided a trial for the EdUHK current students and staff on the “CNKI AI” services till Oct 31 2025. The services have integrated with DeepSeek R1. Services included: • Chatbot grounded on CNKI contents • Research assistant based on single article / a collection of articles (up to 10) • Writing assistant You can test the services by visiting this URL within campus IPs: https://aismart.oversea.cnki.net/ You will also need to create a personal account to use the services. Though there is no limit on the number of accounts that can be created, each account has its own quota for various services: ...

EBSCO's Natural Language Search mode: No More Keywords to Discover Research

Highlight Summary EBSCO now provides a Natural Language Search mode that uses LLMS to allow you to search using everyday language. It understands what you’re looking for, even if you ask in full sentences, and it delivers better results. How Does Natural Language Search Work? Natural Language Search (NLS) lets you search the way you naturally speak or write—no need for special keywords or complicated search rules. No need to use the complex keywords or Boolean operators, for example, you can ask the question "What is the best education for children?" instead of using (education OR schooling) AND (child* OR kid* OR student* OR pupil*) AND (best OR optimal OR effective) AND ("academic achievement" OR outcomes OR “learning results”). Here is the comparison table of Traditional Search vs. Natural Language Search:Traditional SearchNatural Language SearchRequires keywordsAccepts complete questionsNeeds Boolean operatorsUnderstands natural phrasingOften needs multiple attemptsFrequently succeeds on first try How to Use Natural Language Search Mode? STEP 1: Go to “Advanced Search Mode” from the basic search.STEP 2: Under “Search options”, you can select “Natural language” to turn on this mode.STEP 3: To turn on NLS mode immediately, simply toggle the Natural Language switch in basic search.Step 4: Now let's test NLS mode with our sample question: “What is the best education for children?” Observe how NLS generates 810,595 comprehensive results while the traditional search generates a limited 250 records.You'll notice that the NLS mode retrieves relevant results containing conceptually related terms, such as “teaching”, “effective”, and “students”—even though these exact words weren't included in our original search query. This demonstrates a key advantage of Natural Language Search: unlike traditional keyword-based systems, NLS leverages Large Language Models (LLMs) to interpret the semantic meaning behind your question, eliminating the need for exact keyword matching.Recommendations from the Library:To get the most out of EBSCO's search tools, the following strategies for combining NLS and traditional search mode are: Begin with NLS to explore topics broadly using conversational queriesSwitch to traditional search to refine results using precise keywords, Boolean operators, or field tags...

Explore Scite Assistant’s New AI-Powered Tables

The Library has already subscribed to Scite, a powerful AI research tool designed to elevate your research experience. Our subject guide, “AI Tools for Your Research: Scite” explains its features and provides instructions for getting started. Recently Scite has launched a new feature, Tables in Scite Assistant, a major advancement that enables researchers to extract, organize and analyze data from scientific literature. How to Use AI Tables?Scite's AI Tables do more than just summarize papers—they help you extract specific data points, methodologies, and outcomes directly from scientific articles.Step 1: Go to Scite Assistant and select “Use Table Mode” for the new Table function. Step 2: Click “Add Column” and type “name” and “instructions” for the new column. You can choose the length of the answers, from short to long. Step 3: Continue creating new columns, such as “Methodology,” “Key Findings,” and others, to organize and analyze your data effectively.In addition, you can export all references with all columns in various formats, such as CSV, ris and BibTeX. New Improvements to Scite AssistantOpenAI o3 mini + ReasoningA new AI model, OpenAI o3 mini, now integrates advanced reasoning capabilities and is being utilized by Scite. Scite enhances its platform by combining its own datasets and access to scholarly content with powerful AI models, offering researchers tools for analysis and discovery.What is “Reasoning”?Reasoning Models: These are advanced AI systems that go beyond simple pattern recognition (which is what most standard AI models do). Instead, they are designed to:Think through problems internally before answering.Consider multiple approaches to solving a question.Evaluate the accuracy of different possible answers. Plan structured and coherent responses.Solve multi-step problems methodically....