Blackboard Learn Ultra: October Update 2023 

The Learning and Teaching Enhancement Unit would like to highlight four enhancements to Instructors from the October Blackboard Learn Ultra.

1. Partial credit auto-distribution for correct answers for Multiple Choice questions

Multiple-choice questions with more than one correct answer are valuable assessment tools. Also known as multiple-answer or multiple-select questions, these questions assess comprehensive understanding. They also promote deeper learning and higher-order thinking skills. 

Some instructors wish to award partial credit for these question types. This practice awards students who have a partial understanding. It also fosters a positive learning experience. 

In the past, instructors had to enter a value for partial credit percentage for each option. Now, Blackboard will auto-distribute partial credit across correct answer choices. This distribution provides efficiency and saves instructors’ time. If desired, instructors can edit the values if some correct answer options warrant more or less credit. Values for correct answers must sum to 100%. 

Image below: Question credit auto-distributes across correct answer options; values can be edited.

A screenshot of creating a multiple choice question. Allow partial and negative credit highlighted. Percentages highlighted.

2. Send reminder from gradebook list and grid views

Instructors may want to send a reminder to students or groups who haven’t yet made a submission for an assessment. To make this easy, Blackboard have added a “Send Reminder” option to items in the Gradebook. 

There are two views of the Gradebook that can be toggled between using the button. List view and grid view

Image below: Use the list view and grid view button to toggle between views. 

From the Gradebook list view, the option to send a reminder is in the overflow menu (three dots). 

Image below: Send Reminder option from list view 

A screenshot of the Gradebook in list view. Send reminder is highlighted.

Instructors may access the “Send Reminder” option in the grid view by selecting the gradebook column header. 

Image below: Send Reminder option from grid view

A screenshot of the Gradebook in grid view. Send reminder is highlighted.

3. Delegated grading distribution by group membership

Instructors sometimes distribute the grading workload for an assessment to multiple graders. This is a popular practice in larger classes. Instructors can assign graders to groups of students with the new delegated grading option. Each grader will only see the submissions made by students in the group(s) assigned to them. 

Delegated Grading can be used with all available group types. This first release of Delegated Grading supports assignment submissions from individual students. Tests, group assessments, and anonymous submissions are not supported at this time. These will be released at a later date. 

After selecting the Delegated Grading option, select the appropriate Group Set. Instructors can assign one or more graders to each group in the group set. If multiple graders are assigned to the same group, they will share the grading responsibility for the group members. 

Graders assigned to a group of students will only see submissions for those students on the assignment’s submission page. They can only post grades for their assigned group members. Any unassigned instructors enrolled in the course will see all student submissions on the assignment’s submission page. They also post grades for all students. 

Note: At least one Group Set complete with Groups must be present in the course before using the Delegated Grading option. 

Image below: Instructor view of the assessment Settings panel with the Delegated Grading option enabled.

A screenshot of the assignment settings. Delegrated Grading is highlighted.

4. Sorting for manually added gradable items.

Sorting controls help instructors organize and find information in the gradebook. Instructors can now use sorting controls on the grades page for manually created items. The sorting controls enable sorting in both ascending and descending order. Instructors can sort the following information: 

  • Student name 
  • Grade 
  • Feedback 
  • Post status 

The applied sorting order is temporary and resets when you leave the page. 

Note: Sorting controls can be applied to one column at a time. When you sort another column, items will order according to the selected column. 

Image below: Instructor view of sorting controls on the grades page for a manually added gradable item 

A screenshot of the the Gradebook for a manually created item. The sorting controls at the head of columns are highlighted.

Panopto Assignment Workflow in Blackboard Learn Ultra

In our previous blogpost we outlined some of the changes to Panopto with our move to Blackboard Learn Ultra.

In this blogpost we’ll outline the changes to using Panopto for Assignments. Panopto Assignments are used for students to submit a recording or presentation.

As part of this change, we recommend that you:

  1. Create a Blackboard Assignment
  2. Students submit via Blackboard Assignment and upload via the Panopto submission tool

The advantages to this new workflow are that:

  1. The workflow for submission and marking is easier
  2. Marks and feedback automatically go into the Gradebook
  3. Students receive an email receipt for their submission

To support staff with this process, we have a Panopto Assignment guide that takes you through setting up the assignment, student submission, and marking on our Lecture Capture webpages.

We’ve also got a FAQ for staff and students.

If you’ve got any questions, please contact the Learning and Teaching Enhancement Unit (elearning@aber.ac.uk).

Welcome to new staff joining Aberystwyth University

We’re the Learning and Teaching Enhancement Unit. Based in Information Services, we work with staff across the university to support and develop learning and teaching. We run a wide range of activities to do this.

All the information that you need is on the Learning and Teaching Enhancement Unit webpages. Our Supporting your Teaching webpages will help you with various teaching solutions.

We write a blog full of the latest updates, details on events and training sessions, and resources.

If you need to get in touch with us, you can do so using one of two email addresses:

lteu@aber.ac.uk (for pedagogical and design questions, or to arrange a consultation) or

elearning@aber.ac.uk (for technical queries regarding our e-learning tools listed below).

Read More

Blackboard Learn Ultra Gradebook

In this blogpost we’ll be taking a specific look at the Gradebook feature in Blackboard Learn Ultra. The Gradebook is the new name for Grade Centre.

It is used to hold all student marks on a Blackboard Course.

The Gradebook is located on every course from the top menu.

Ultra Course with Gradebook highlighted

Students enrolled on the module automatically appear in the Gradebook.

When you get into the gradebook, you can toggle your view.

Default is a list of markable items on one tab and students on another:

List view of the Gradebook

You can toggle your view so that you can see the markable items and the students in one view.

Grid view of Gradebook]

Read More

Annual Learning and Teaching Conference: External Speaker Announcement

The Learning and Teaching Enhancement Unit is pleased to announce our first external speaker as part of this year’s Annual Learning and Teaching Conference.

Taking place between 4 and 6 July, bookings for the conference are already open.

Michael Webb from Jisc will discuss Artificial Intelligence in the session Navigating the Opportunities and Challenges of AI in Education.

Since the introduction of Chat GPT, colleagues have been finding ways in which the power of artificial intelligence might be used in Higher Education alongside the challenges that it poses.

Jisc’s national centre for artificial intelligence in tertiary education aims to help institutions adopt AI in a responsible and ethical way. We are working across the sector to help institutions navigate the challenges and opportunities presented by generative AI. In this session we’ll review the strengths and weakness of generative AI, the practices and approaches we see emerging, and take a look at how technologies and practices are developing as ever more generative AI applications are released.

Michael Webb is the director of technology and analytics at Jisc – the UK digital, data and technology agency focused on tertiary education, research, and innovation. He is co-lead of Jisc’s national centre for AI in tertiary education, supporting the responsible and effective adoption of artificial intelligence across the tertiary education sector. As well as artificial intelligence, he has worked on projects around the internet of things, virtual reality, and learning analytics. Before joining Jisc, Michael worked in the higher education sector, leading IT and learning technology.

This session will be of interest for colleagues who would like to add AI into their teaching and learning activities, as well as explore ways in which it can be used productively.

Our full programme will be announced on our webpages in due course. Aberystwyth University has been working on its own guidance for Artificial Intelligence. Take a look at ourConsiderations for Generative AI Detection blogpost for further information.

James Wood: Improving feedback literacy through sustainable feedback engagement practices

Banner for Audio Feedback

On Wednesday 10 May, the Learning and Teaching Enhancement Unit welcomed Dr James Wood from Bangor University to give some ideas around student feedback design and engagement.

The recording from the session is on Panopto and the PowerPoint slides can be downloaded below:

In the session, Dr Wood outlined

  • The changes to the feedback NSS questions for 2023
  • The purpose of feedback
  • The move away from feedback transmission to one of action
  • Barriers to student feedback engagement
  • Screencasting your feedback

The next big event for LTEU is our annual Learning and Teaching Conference which is taking place between 4 and 6 July. Bookings for this are already open.

If you have any external speakers that you would like LTEU to invite to next year’s series then please email lteu@aber.ac.uk with your suggestion.

Turnitin Building Block retired

In summer 2022 we moved to a new version of Turnitin. As support for our previous version of Turnitin has now ceased, the historical version (known as Turnitin Building Block) will be retired on 31 August 2023.

This means that any marked assignments will no longer be accessible to staff and students.

Students should download any historical assignments (from pre-academic year 2022-23) and save them.

Staff should contact the Learning and Teaching Enhancement Unit (elearning@aber.ac.uk) if they still need to access Turnitin assignments in the Building Block for marking purposes.

Even though access will be removed, the Learning and Teaching Enhancement Unit will still be able to request marked assignments via Turnitin support. If you require this after 31 August 2023, please contact the Learning and Teaching Enhancement Unit (elearning@aber.ac.uk).  

Launch of Turnitin AI writing and ChatGPT Detection Capability

Turnitin icon

On 4 April Turnitin will be launching their new AI writing and ChatGPT detection capability which will be added to the Similarity Report.  Before colleagues start using the AI detector, we thought that we would caveat it with the following quotations from authoritative professional bodies in the sector.

Jisc notes: “AI detectors cannot prove conclusively that text was written by AI.”

— Michael Webb (17/3/2023), AI writing detectors – concepts and considerations, Jisc National Centre for AI

The QAA advises: “Be cautious in your use of tools that claim to detect text generated by AI and advise staff of the institutional position. The output from these tools is unverified and there is evidence that some text generated by AI evades detection. In addition, students may not have given permission to upload their work to these tools or agreed how their data will be stored.”

— QAA (31/1/2023), The rise of artificial intelligence software and potential risks for academic integrity: briefing paper for higher education providers

Please also see the Guidance for Staff compiled by the Generative AI Working Group led by Mary Jacob. The guide outlines suggestions for how we can explain our existing assessments to students in ways that will discourage unacceptable academic practice with AI, and also red flags to consider when marking.

You can read more about the Turnitin AI enhancement in this Turnitin blog post.

For guidance on how to use this tool, take a look at Turnitin’s:

Turnitin also published an AI writing resource page to support educators with teaching resources and to report its progress in developing AI writing detection features.

If you have any questions about using Turnitin’s AI writing and ChatGPT detection capability or interpreting the results, please contact the Learning and Teaching Enhancement Unit (elearning@aber.ac.uk).

External Speaker: James Wood: Improving feedback literacy through sustainable feedback engagement practices 

The Learning and Teaching Enhancement Unit is pleased to announce their next external speaker. On 10 May from 14:00-15:30, James Wood from Bangor University will be hosting an online session on Improving feedback literacy through sustainable feedback engagement practices.

James Wood is Lecturer in Education, Assessment and Taught Postgraduate Lead at Bangor University. Prior to this position, James has worked with Kings College London, University College London, Birkbeck University, Greenwich University and Seoul National University.

Session Abstract

Despite the importance of feedback in supporting learning in higher education, there is still much to learn about nurturing sustainable skills for seeking, engaging with, and using feedback. In practice, many students fail to access feedback, and even if courses offer formative assessment in principle, it is only sometimes engaged with or used effectively. It is often argued that students require ‘feedback literacy’ before engagement with feedback is possible. However, in this workshop, we will explore how feedback literacy and receptivity to feedback can emerge as students experience well-designed dialogic feedback practices that offer the opportunity to consider how learning from feedback occurs, the benefits, what constitutes quality and how to evaluate it and how to develop and execute plans to close the gap between current and target performance. I will also discuss how social and non-human factors entangle with learners’ agency to engage in ways that can serve or limit their participation. I will finish with an overview of how technologies can be used to enhance learners’ ability to use feedback effectively and develop relationships and communities that can offer powerful collaborative learning opportunities, as well as emotional support and encouragement. 

The workshop will take place online using Microsoft Teams. Book your place online.

If you have any questions, please contact the Learning and Teaching Enhancement Unit (lteu@aber.ac.uk).