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

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:

Recent Posts

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....

What is Covidence? - A Smart Way to Manage Your Systematic Reviews

Covidence = “Collaboration” + “Evidence”, is a powerful web-based platform designed to simplify and accelerate the systematic review process. Researchers and students may feel the systematic review workload is overwhelming, from screening thousands of articles to extracting data and resolving conflicts. What can Covidence do?Covidence can support key stages of the review process, including:Importing references from databasesHow to import referencesScreening titles and abstracts to identify relevant studiesHow to screen by title and abstractFull-text review to assess eligibilityHow to screen by full textData extraction and quality assessment of included studiesData ExtractionQuality AssessmentCollaboration with team members, including conflict resolutionHow to invite a team member to a review Get Started with CovidenceWhile the library does not currently have a subscription to Covidence, a trial has been established for all EdUHK members until April 15, 2025. Trial accounts can only be created by invitation. If you are interested in trying it out, please inform us at myhyiu@eduhk.hk, and the library will send you an invitation as below:InvitationNote: When you fill in the required information to complete the registration, remember to use your EdUHK email. Training Resources from CovidenceCovidence has its own YouTube channel with video tutorials to to guide you through the main features of the system. Useful Resources from CovidenceQuick Step-by-Step GuideData Extraction for Intervention Systematic ReviewsCovidence blog - Follow Covidence's blog to find helpful resources, insights and product updatesCovidence Webinar - Attend the next live session or watch the latest recording...