LJMU Events and Appointments

Ask a Librarian Drop-in

Do you need help finding information? Or how and when to reference? Or anything else?

This is your chance to ask us any questions you’ve got about finding and using information for your assignments, including where to look for good quality information, and when and how to reference correctly.  

Our drop-ins are an opportunity for you to meet with one of our librarians and ask us anything about using the libraries and our subject resources.  

There is no need to book.  Just come along to Aldham Robarts Library, Lower Ground Floor, Seminar Room 3 or Avril Robarts Library, 1st Floor, Training Room 2. 

Ask a Librarian Drop-in

Do you need help finding information? Or how and when to reference? Or anything else?

This is your chance to ask us any questions you’ve got about finding and using information for your assignments, including where to look for good quality information, and when and how to reference correctly.  

Our drop-ins are an opportunity for you to meet with one of our librarians and ask us anything about using the libraries and our subject resources.  

There is no need to book.  Just come along to Aldham Robarts Library, Lower Ground Floor, Seminar Room 3 or Avril Robarts Library, 1st Floor, Training Room 2. 

Drop by and ask our Maths & Stats tutors for advice on topics in mathematics, statistics, or data analysis — quantitative or qualitative — including use of software, e.g. Excel, R, SPSS, NVivo, Matlab, Python,... Just remember to bring your maths, statistics, or data analysis query with you, as well as any relevant course materials or data.

You may also like to enrol on the Maths & Statistics Canvas NCSKI02 module to find resources and recordings of classes.

Drop by and ask our Maths & Stats tutors for advice on topics in mathematics, statistics, or data analysis — quantitative or qualitative — including use of software, e.g. Excel, R, SPSS, NVivo, Matlab, Python,... Just remember to bring your maths, statistics, or data analysis query with you, as well as any relevant course materials or data.

You may also like to enrol on the Maths & Statistics Canvas NCSKI02 module to find resources and recordings of classes.

SPSS is recommended by many of the courses at LJMU for analyzing quantitative data. This session will introduce you to SPSS, and will cover topics such as:

• A tour of the program
• Data entry
• Basic data manipulation, description and analysis

Note: If you are using your own computer, please make sure you have SPSS fully installed before joining the class. You can find instructions at the student and staff software downloads page.

Further information will be posted on the Maths & Statistics Canvas module before the class.

Referencing

What is referencing and why do I have to do it? This session will refer to the Harvard Cite Them Right style and will:

     
• explain what referencing is
     
• highlight why and when you should reference something in your work
     
• show you how to cite sources in an assignment
     
• show you how to reference a book, a journal article and a webpage in the Harvard Cite Them Right style
     
• how to find additional information for different types of resources.
 

There will be opportunities to ask questions throughout the session.

This class will take place in Teams and a link will be sent out to attendees on the day of the event.  

This comprehensive session brings together best practices in online student engagement, focusing on both discussion board activities and social engagement tools within Canvas. The session aims to provide practical insights into designing engaging online activities, rooted in the experiences of LJMU staff and established distance learning practices.

Designing Interactive Discussion Boards: Learn how to create simple yet effective discussion board activities on Canvas. This includes sharing these activities with students, encouraging participation, and monitoring engagement.

Hands-On Experience: Get practical exposure by trying out various discussion board activities, enhancing your understanding of the tool's functionality and potential in engaging students.

Social Engagement in Blended Learning: Explore how to use existing Canvas tools to foster online social engagement, crucial for active blended learning environments. This segment is developed in response to the Academy's recent staff survey, highlighting the need for enhanced guidance in this area.

Practical Examples and Idea Sharing: We'll provide numerous examples of social engagement activities. There will also be opportunities to discuss and share ideas on how these can be integrated into your teaching practices.

Note: The Teaching and Learning Academy reserves the right to cancel the session if there are insufficient attendees.

Discover: Getting the most out of library resources 

Are you searching on Google and getting overwhelmed with the amount of information you are getting back?  How do you know what you are finding is the right type and quality for your assignment?  

Discover, the library search tool, is the simple way to search for relevant books, e-books, journal articles, databases and more.  

This session will show you how to access a range of resources and make the best use of the features of Discover, including advanced search, saving searches and items and creating search alerts.

So, if you are not sure how or where to start, or if you want to learn how to get better search results then this is the session for you.  

There will be opportunities to ask questions throughout the session.

This class will take place in Teams and a link will be sent out to attendees on the day of the event.  

Drop by and ask our Maths & Stats tutors for advice on topics in mathematics, statistics, or data analysis — quantitative or qualitative — including use of software, e.g. Excel, R, SPSS, NVivo, Matlab, Python,... Just remember to bring your maths, statistics, or data analysis query with you, as well as any relevant course materials or data.

You may also like to enrol on the Maths & Statistics Canvas NCSKI02 module to find resources and recordings of classes.